Result of Temperature

Comparative Analysis of HPDC Process of an Auto Part with ProCAST and FLOW-3D

ProCAST ๋ฐ FLOW-3D๋ฅผ ์ด์šฉํ•œ ์ž๋™์ฐจ ๋ถ€ํ’ˆ ๊ณ ์•• ๋‹ค์ด์บ์ŠคํŒ…(HPDC) ๊ณต์ • ๋น„๊ต ๋ถ„์„

์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ๋ชฉ์ 

  • ๋ฌธ์ œ ์ •์˜: ๊ณ ์•• ๋‹ค์ด์บ์ŠคํŒ…(HPDC, High Pressure Die Casting)์€ ์ž๋™์ฐจ, ํ•ญ๊ณต์šฐ์ฃผ, ๊ฑด์ถ• ์žฌ๋ฃŒ ๋“ฑ ๋‹ค์–‘ํ•œ ์‚ฐ์—…์—์„œ ADC12 ์•Œ๋ฃจ๋ฏธ๋Š„ ํ•ฉ๊ธˆ์„ ์‚ฌ์šฉํ•˜์—ฌ ๋ณต์žกํ•œ ํ˜•์ƒ์˜ ๋ถ€ํ’ˆ์„ ๋Œ€๋Ÿ‰ ์ƒ์‚ฐํ•˜๋Š” ๋ฐ ํ™œ์šฉ๋œ๋‹ค.
    • HPDC ๊ณต์ •์—์„œ๋Š” ๋ฒ„๋ธ” ๋ชจ๋ธ(Bubble Models), ์œ ๋™ ๋งˆํฌ(Flow Marks), ์ฝœ๋“œ ์…ง(Cold Shuts)๊ณผ ๊ฐ™์€ ์ฃผ์กฐ ๊ฒฐํ•จ์ด ์ž์ฃผ ๋ฐœ์ƒํ•œ๋‹ค.
    • ์ด๋Ÿฌํ•œ ๊ฒฐํ•จ์€ ์‹œ์ œํ’ˆ ์ œ์ž‘ ๋น„์šฉ ์ฆ๊ฐ€, ์ƒ์‚ฐ ์ฃผ๊ธฐ ์ง€์—ฐ, ์ œํ’ˆ ์‹ ๋ขฐ์„ฑ ์ €ํ•˜๋ฅผ ์ดˆ๋ž˜ํ•œ๋‹ค.
  • ์—ฐ๊ตฌ ๋ชฉ์ :
    • ProCAST ๋ฐ FLOW-3D ์†Œํ”„ํŠธ์›จ์–ด๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ADC12 ์•Œ๋ฃจ๋ฏธ๋Š„ ํ•ฉ๊ธˆ ์ž๋™์ฐจ ๋ถ€ํ’ˆ์˜ HPDC ๊ณต์ •์„ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ํ•˜๊ณ , ๋‘ ์†Œํ”„ํŠธ์›จ์–ด์˜ ์ถฉ์ง„(Filling) ๋ฐ ์‘๊ณ (Solidification) ๊ณผ์ • ๋น„๊ต.
    • ์ฃผ์กฐ ๊ฒฐํ•จ(๊ธฐํฌ ๋ชจ๋ธ, ์ˆ˜์ถ• ์บ๋น„ํ‹ฐ ๋ฐ ์ˆ˜์ถ• ๋‹ค๊ณต์„ฑ ๊ฒฐํ•จ)์„ ๋ถ„์„ํ•˜๊ณ , ์‹ค์ œ ์ƒ์‚ฐ๊ณผ์˜ ์ •ํ™•๋„ ๋น„๊ต๋ฅผ ํ†ตํ•ด ์ตœ์ ์˜ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๋ฐฉ๋ฒ• ์ œ์‹œ.

์—ฐ๊ตฌ ๋ฐฉ๋ฒ•

  1. ์ž๋™์ฐจ ๋ถ€ํ’ˆ ๋ชจ๋ธ๋ง ๋ฐ HPDC ๊ณต์ • ์„ค์ •
    • ADC12 ์•Œ๋ฃจ๋ฏธ๋Š„ ํ•ฉ๊ธˆ์„ ์‚ฌ์šฉํ•œ ํšŒ์ „์ฒด(Rotary Part) ๊ตฌ์กฐ์˜ ๋ณต์žกํ•œ ํ˜•์ƒ ๋ถ€ํ’ˆ์„ ๋Œ€์ƒ์œผ๋กœ ์—ฐ๊ตฌ.
    • ๋ถ€ํ’ˆ์˜ ์ˆœ์ค‘๋Ÿ‰ 0.45 kg, ์ตœ๋Œ€ ์ง๊ฒฝ 68 mm, ํ‰๊ท  ๋ฒฝ ๋‘๊ป˜ 3.2 mm.
    • ๊ฒŒ์ดํŒ… ์‹œ์Šคํ…œ(Gating System) ๋ฐ ์˜ค๋ฒ„ํ”Œ๋กœ์šฐ ์‹œ์Šคํ…œ(Overflow System)์„ ์„ค๊ณ„ํ•˜์—ฌ CAD ๋ชจ๋ธ ์ƒ์„ฑ(Fig.1, Fig.2).
    • ์ฃผ์กฐ ์กฐ๊ฑด:
      • ์ฃผ์ž… ์˜จ๋„: 680โ„ƒ
      • ๊ธˆํ˜• ์ดˆ๊ธฐ ์˜จ๋„: 200โ„ƒ
      • ์‚ฌ์ถœ ์†๋„: 2.4 m/s
      • ์ธ๊ฒŒ์ดํŠธ ์†๋„(Ingate Velocity): 40 m/s
      • ๋ƒ‰๊ฐ ์กฐ๊ฑด: ๊ณต๊ธฐ ๋ƒ‰๊ฐ
  2. ProCAST ์‹œ๋ฎฌ๋ ˆ์ด์…˜
    • ์œ ํ•œ ์š”์†Œ๋ฒ•(FEM, Finite Element Method)์„ ์‚ฌ์šฉ.
    • 188,107๊ฐœ์˜ ๋…ธ๋“œ, 1,010,920๊ฐœ์˜ ์‚ฌ๋ฉด์ฒด ์š”์†Œ(Tetrahedron Elements)๋กœ ๋ฉ”์‰ฌ ์ƒ์„ฑ(Fig.3).
    • ์˜จ๋„์žฅ(Temperature Field) ๋ณ€ํ™” ๋ถ„์„:
      • ์ถฉ์ง„ ์‹œ๊ฐ„ 0.052 s ๋™์•ˆ ์•ก์ฒด ๊ธˆ์†์ด ๊ธˆํ˜•์„ ์™„์ „ํžˆ ์ถฉ์ „.
      • ๋ฒ„๋ธ” ๋ชจ๋ธ ๋ฐ ์ˆ˜์ถ• ์บ๋น„ํ‹ฐ, ์ˆ˜์ถ• ๋‹ค๊ณต์„ฑ ๊ฒฐํ•จ์ด A ๋ฐ B ์˜์—ญ์—์„œ ๋ฐœ์ƒ(Fig.4, Fig.5).
  3. FLOW-3D ์‹œ๋ฎฌ๋ ˆ์ด์…˜
    • ์œ ํ•œ ์ฐจ๋ถ„๋ฒ•(FDM, Finite Difference Method)์„ ์‚ฌ์šฉํ•˜์—ฌ ๊ณ ๊ธ‰ ์•ก๋ฉด ์ถ”์  ๊ธฐ๋Šฅ ์ œ๊ณต.
    • STL ํ˜•์‹์˜ 3D ๋ชจ๋ธ์„ ์‚ฌ์šฉํ•˜์—ฌ 2๊ฐœ์˜ ๊ทธ๋ฆฌ๋“œ ๋ธ”๋ก์œผ๋กœ ๋ถ„ํ• (Fig.6).
    • ์ถฉ์ง„ ๊ณผ์ • ๋™์•ˆ ํŠ€๊น€(Splash) ํ˜„์ƒ ๋ฐœ์ƒ(Fig.7):
      • A ์˜์—ญ์—์„œ๋Š” ๊ณ ์† ๋ฐ ๊ณ ์••์œผ๋กœ ๊ณต๊ธฐ๋ฅผ ์‰ฝ๊ฒŒ ๋ฐฐ์ถœํ•˜์—ฌ ๊ธฐํฌ ๊ฒฐํ•จ ๋ฐœ์ƒ ์–ต์ œ.
      • B ์˜์—ญ์—์„œ๋Š” ๋ถ€๋“œ๋Ÿฝ๊ฒŒ ์ถฉ์ง„๋˜์–ด ๊ธฐํฌ ๋ชจ๋ธ ๊ฒฐํ•จ ๋ฐœ์ƒํ•˜์ง€ ์•Š์Œ.
    • ํ‘œ๋ฉด ๊ฒฐํ•จ ์ถ”์  ๊ฒฐ๊ณผ(Fig.8):
      • ๋ช…ํ™•ํ•œ ํ‘œ๋ฉด ๊ฒฐํ•จ ์—†์Œ, ์ด ์ถฉ์ง„ ์‹œ๊ฐ„ 0.0455 s๋กœ ProCAST๋ณด๋‹ค ๋น ๋ฅธ ์ถฉ์ง„ ์†๋„.

์ฃผ์š” ๊ฒฐ๊ณผ

  1. ProCAST vs. FLOW-3D ๋น„๊ต
    • ProCAST ์‹œ๋ฎฌ๋ ˆ์ด์…˜:
      • A ๋ฐ B ์˜์—ญ์—์„œ ๊ธฐํฌ ๋ชจ๋ธ ๊ฒฐํ•จ ๋ฐœ์ƒ, ์‹ค์ œ ์ฃผ์กฐ๋ฌผ์—์„œ๋„ ๋™์ผํ•œ ๊ฒฐํ•จ์ด ์˜ˆ์ƒ๋จ.
      • ์ˆ˜์ถ• ์บ๋น„ํ‹ฐ ๋ฐ ๋‹ค๊ณต์„ฑ ๊ฒฐํ•จ์˜ ์ด ๋ถ€ํ”ผ ์•ฝ 0.253 cmยณ.
    • FLOW-3D ์‹œ๋ฎฌ๋ ˆ์ด์…˜:
      • ์˜ค๋ฒ„ํ”Œ๋กœ์šฐ ์„ฑ๋Šฅ์ด ์šฐ์ˆ˜ํ•˜์—ฌ ๊ณต๊ธฐ ๋ฐฐ์ถœ ๊ฒฝ๋กœ๋ฅผ ๋ณ€๊ฒฝ, ๊ธฐํฌ ๋ชจ๋ธ ๊ฒฐํ•จ ๋ฐœ์ƒ์„ ์–ต์ œ.
      • A ๋ฐ B ์˜์—ญ์—์„œ ๊ฒฐํ•จ์ด ๊ฑฐ์˜ ๋ฐœ์ƒํ•˜์ง€ ์•Š์Œ, ์‹ค์ œ ์ฃผ์กฐ๋ฌผ๊ณผ ๋†’์€ ์ผ์น˜๋„(Fig.9).
  2. ์ •ํ™•๋„ ํ‰๊ฐ€
    • FLOW-3D ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฒฐ๊ณผ๊ฐ€ ์‹ค์ œ ์ƒ์‚ฐ๊ณผ ๋” ๋†’์€ ์ผ์น˜๋„๋ฅผ ๋ณด์ž„.
    • ProCAST๋Š” ๋ฒ„๋ธ” ๋ชจ๋ธ ๋ฐ ์ˆ˜์ถ• ๊ฒฐํ•จ์„ ๊ณผ๋Œ€ ์˜ˆ์ธกํ•˜์˜€์œผ๋‚˜, FLOW-3D๋Š” ๊ฒฐํ•จ์„ ์ตœ์†Œํ™”.
    • FLOW-3D์˜ ์ถฉ์ง„ ์†๋„๊ฐ€ ๋” ๋น ๋ฅด๊ณ  ์ •ํ™•ํ•˜๊ฒŒ ๊ธˆํ˜•์„ ์ถฉ์ „ํ•  ์ˆ˜ ์žˆ์Œ์„ ํ™•์ธ.

๊ฒฐ๋ก  ๋ฐ ํ–ฅํ›„ ์—ฐ๊ตฌ

  • ๊ฒฐ๋ก :
    • FLOW-3D ์†Œํ”„ํŠธ์›จ์–ด๊ฐ€ ProCAST๋ณด๋‹ค ADC12 ์•Œ๋ฃจ๋ฏธ๋Š„ ํ•ฉ๊ธˆ ์ž๋™์ฐจ ๋ถ€ํ’ˆ์˜ HPDC ๊ณต์ •์—์„œ ๋” ๋†’์€ ์ •ํ™•๋„๋ฅผ ์ œ๊ณต.
    • FLOW-3D๋Š” ์•ก์ฒด ๊ธˆ์†์˜ ์ถฉ์ง„ ๊ณผ์ •๊ณผ ํ‘œ๋ฉด ๊ฒฐํ•จ์„ ์ •๋ฐ€ํ•˜๊ฒŒ ์˜ˆ์ธกํ•  ์ˆ˜ ์žˆ์œผ๋ฉฐ, ์‹ค์ œ ์ƒ์‚ฐ ํ’ˆ์งˆ์„ ๋ณด์žฅํ•  ์ˆ˜ ์žˆ์Œ.
    • ProCAST์™€ FLOW-3D์˜ ์•Œ๊ณ ๋ฆฌ์ฆ˜ ์ฐจ์ด๋กœ ์ธํ•ด ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฒฐ๊ณผ๊ฐ€ ์ผ์น˜ํ•˜์ง€ ์•Š์„ ์ˆ˜ ์žˆ์Œ:
      • ProCAST: FEM ๊ธฐ๋ฐ˜์œผ๋กœ ์„ธ๋ถ€ ๊ฒฐํ•จ ๋ถ„์„์— ์œ ๋ฆฌ.
      • FLOW-3D: FDM ๊ธฐ๋ฐ˜์œผ๋กœ ์•ก์ฒด ์œ ๋™ ๋ฐ ํ‘œ๋ฉด ๊ฒฐํ•จ ์ถ”์ ์— ๊ฐ•์ .
  • ํ–ฅํ›„ ์—ฐ๊ตฌ ๋ฐฉํ–ฅ:
    • ๋‹ค์–‘ํ•œ ์ฃผ์กฐ ์žฌ๋ฃŒ ๋ฐ ๊ณต์ • ๋ณ€์ˆ˜์— ๋Œ€ํ•œ ์ถ”๊ฐ€ ๋น„๊ต ์—ฐ๊ตฌ.
    • AI ๋ฐ ๋จธ์‹ ๋Ÿฌ๋‹์„ ํ™œ์šฉํ•œ ์ฃผ์กฐ ๊ฒฐํ•จ ์˜ˆ์ธก ๋ชจ๋ธ ๊ฐœ๋ฐœ.
    • ์‚ฐ์—… ํ˜„์žฅ ์ ์šฉ์„ ์œ„ํ•œ ์ตœ์  HPDC ๊ณต์ • ์„ค๊ณ„ ๋ฐ ์‹ค์ฆ ์‹คํ—˜ ์ˆ˜ํ–‰.

์—ฐ๊ตฌ์˜ ์˜์˜

์ด ์—ฐ๊ตฌ๋Š” ProCAST ๋ฐ FLOW-3D ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ํ†ตํ•œ HPDC ๊ณต์ •์˜ ๋น„๊ต ๋ถ„์„์„ ํ†ตํ•ด ์ตœ์ ์˜ ์†Œํ”„ํŠธ์›จ์–ด ์„ ํƒ ๊ฐ€์ด๋“œ๋ผ์ธ์„ ์ œ๊ณตํ•˜๋ฉฐ, ์ž๋™์ฐจ ๋ฐ ํ•ญ๊ณต์šฐ์ฃผ ์‚ฐ์—…์˜ ์ฃผ์กฐ ํ’ˆ์งˆ ํ–ฅ์ƒ ๋ฐ ์ƒ์‚ฐ์„ฑ ์ฆ๋Œ€์— ๊ธฐ์—ฌํ•  ์ˆ˜ ์žˆ๋‹คโ€‹.

Reference

  1. Jitender K. Rai, Amir M. Lajimi, Paul Xirouchakis, An intelligent system for predicting HPDC process variables in interactive environment, journal of materials processing technology. 203 (2008) 72โ€“79.
  2. A. Krimpenis, P.G. Benardos, G.-C. Vosniakos, A. Koukouvitaki, Simulation-based selection of optimum pressure die-casting process parameters using neural nets and genetic algorithms, Int J Adv Manuf Technol, (2006) 27: 509โ€“517.
  3. Chunmiao Wu, Die casting technical manual[M], Guangdong Science and Technology Press, Guangdong, 2006.
  4. K..Anzai.A Cast CAE System with Flow and Solidification Simulation to Wheel Casting. Proceedings of Modeling of Casting and Solidification Processes[J],1995:279-286.
  5. K.Kubo.SCAST-Integrated Simulation System for Casting Design.Proceedings of Modeling of Casting and Solidification Processes[J],1995:173-181.
  6. M. Ivosevic, V. Gupta, J.A. Baldoni, R.A. Cairncross, T.E. Twardowski, and R. Knight, Effect of Substrate Roughness on Splatting Behavior of HVOF Sprayed Polymer Particles: Modeling and Experiments, Journal of Thermal Spray Technology. Volume 15(4) December 2006:725-730.
  7. Information on http://www.flow3d.com.

FLOW-3D ์ˆ˜์น˜ํ•ด์„์šฉ ์ปดํ“จํ„ฐ ์„ ํƒ ๊ฐ€์ด๋“œ

Top 20 Fastest Desktops for 2024

Top 20 Fastest Desktops for 2024

Edit: 2024-11-28

์›๋ฌธ ์ถœ์ฒ˜: https://www.pcbenchmarks.net/fastest-desktop.html

PositionScoreBL#CPU TypeCPU speed (MHz)#Phys. CPUsOSMotherboardRAMVideo cardDate uploaded
126331.82512517Intel Core Ultra 9 285K36861Windows 11 Pro for Workstations build 26100 (64-bit)ASUSTeK COMPUTER INC. ROG MAXIMUS Z890 APEX48.7 GBGeForce RTX 50902025-03-27 13:04:55
225231.92667231Intel Core i9-14900KS31881Windows 11 Pro for Workstations build 26100 (64-bit)ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 APEX ENCORE49.0 GBGeForce RTX 50902025-06-01 19:02:22
325140.32102766Intel Core i9-14900KS31881Windows 11 Pro for Workstations build 26100 (64-bit)ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 APEX ENCORE49.0 GBGeForce RTX 40902024-05-16 19:37:40
425070.22912009Intel Core Ultra 9 285K36871Windows 11 Professional Edition build 26100 (64-bit)ASUSTeK COMPUTER INC. ROG MAXIMUS Z890 APEX48.7 GBGeForce RTX 40902025-09-16 06:38:14
525006.12547265Intel Core Ultra 9 285K36861Windows 11 Professional Edition build 26100 (64-bit)ASUSTeK COMPUTER INC. ROG MAXIMUS Z890 APEX48.7 GBGeForce RTX 40902025-04-11 08:42:11
624725.52460587AMD Ryzen Threadripper 7980X32001Windows 11 Pro for Workstations build 26100 (64-bit)ASUSTeK COMPUTER INC. Pro WS TRX50-SAGE WIFI130.6 GBGeForce RTX 50902025-03-05 20:36:17
724689.82094503Intel Core i9-14900KF31881Windows 11 Pro for Workstations build 26100 (64-bit)ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 APEX ENCORE49.0 GBGeForce RTX 40902024-05-05 15:30:09
824613.32539005Intel Core Ultra 9 285K36861Windows 11 Professional Edition build 26100 (64-bit)ASUSTeK COMPUTER INC. ROG MAXIMUS Z890 APEX48.7 GBGeForce RTX 40902025-04-07 19:05:52
924598.32725366Intel Core Ultra 9 285K36861Windows 11 Professional Edition build 22000 (64-bit)ASUSTeK COMPUTER INC. ROG MAXIMUS Z890 APEX48.6 GBGeForce RTX 40902025-06-27 08:44:08
1024550.71756060Intel Core i9-13900KS31881Windows 10 Home build 19045 (64-bit)Micro-Star International Co., Ltd. MAG Z790 TOMAHAWK WIFI DDR4(MS-7D91)32.5 GBGeForce RTX 40902023-02-27 01:36:21
1124401.73038462Intel Core Ultra 9 285K36861Windows 11 Professional Edition build 26200 (64-bit)ASUSTeK COMPUTER INC. ROG MAXIMUS Z890 APEX48.7 GBGeForce RTX 40902025-11-08 16:59:04
1224359.62808704Intel Core Ultra 9 285K36861Windows 11 Professional Edition build 22621 (64-bit)ASUSTeK COMPUTER INC. ROG MAXIMUS Z890 APEX48.7 GBGeForce RTX 40902025-08-02 10:29:04
1324190.32538133Intel Core Ultra 9 285K36861Windows 11 Professional Edition build 26100 (64-bit)ASUSTeK COMPUTER INC. ROG MAXIMUS Z890 APEX48.7 GBGeForce RTX 40902025-04-07 10:56:35
1424034.13007434Intel Core Ultra 9 285K36871Windows 11 Professional Edition build 26100 (64-bit)ASUSTeK COMPUTER INC. Z890 AYW GAMING WIFI W48.5 GBRadeon RX 7900 XTX2025-10-27 00:37:31
1524008.82086170Intel Core i9-14900KF31871Windows 11 Pro for Workstations build 22631 (64-bit)ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 APEX ENCORE32.6 GBGeForce RTX 40902024-04-25 01:38:41
1623924.41989560Intel Core i9-13900KS31881Windows 11 Pro for Workstations build 22631 (64-bit)ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 APEX ENCORE32.6 GBGeForce RTX 40902024-01-06 11:51:42
1723682.33059816Intel Core Ultra 9 285K36871Windows 11 Professional Edition build 26100 (64-bit)Gigabyte Technology Co., Ltd. Z890 AERO G48.6 GBRadeon RX 7900 XTX2025-11-17 01:14:07
1823223.22424595AMD Ryzen Threadripper 7980X31951Windows 11 Professional Edition build 26100 (64-bit)ASUSTeK COMPUTER INC. Pro WS TRX50-SAGE WIFI130.6 GBGeForce RTX 50802025-02-18 11:51:03
1923193.02424914AMD Ryzen Threadripper 7980X31961Windows 11 Professional Edition build 26100 (64-bit)ASUSTeK COMPUTER INC. Pro WS TRX50-SAGE WIFI130.6 GBGeForce RTX 50802025-02-18 14:23:51
2023117.01986111Intel Core i9-14900K31871Windows 11 Pro for Workstations build 22631 (64-bit)ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 APEX ENCORE32.6 GBGeForce RTX 40902024-01-02 23:37:24

CPU ๋ฒค์น˜๋งˆํฌ

์•„๋ž˜๋Š” ์ฐจํŠธ์— ๋‚˜ํƒ€๋‚˜๋Š” ๋ชจ๋“  ๋‹จ์ผ ๋ฐ ๋‹ค์ค‘ ์†Œ์ผ“ CPU ์œ ํ˜•์˜ ๋ชฉ๋ก์ž…๋‹ˆ๋‹ค. ์—ดํŠน์ • ํ”„๋กœ์„ธ์„œ ์ด๋ฆ„์„ ํด๋ฆญํ•˜๋ฉด ํ•ด๋‹น ํ”„๋กœ์„ธ์„œ๊ฐ€ ๋‚˜ํƒ€๋‚˜๋Š” ์ฐจํŠธ๋กœ ์ด๋™ํ•˜์—ฌ ๊ฐ•์กฐ ํ‘œ์‹œ๋ฉ๋‹ˆ๋‹ค.

https://www.cpubenchmark.net/CPU_mega_page.html

CPU NameCoresCPU MarkThread Mark TDP (W) SocketCategory
[Dual CPU] AMD EPYC 9J45128201,3353,488NAUnknownServer
[Dual CPU] AMD EPYC 965596200,5553,869400SP5Server
[Dual CPU] AMD EPYC 9575F64200,1974,255400SP5Server
[Dual CPU] AMD EPYC 9755128198,5883,505500SP5Server
[Dual CPU] AMD EPYC 9K65192187,9233,176NASP5Server
[Dual CPU] AMD EPYC 9965192183,2143,106500SP5Server
[Dual CPU] AMD EPYC 955564182,4713,743360SP5Server
AMD Ryzen Threadripper PRO 9995WX96176,3414,575350sTR5Desktop, Server
[Dual CPU] AMD EPYC 9745128173,7173,157400SP5Server
AMD EPYC 9755128166,3283,503500SP5Server
AMD EPYC Embedded 9755128164,0103,508500UnknownMobile/Embedded
[Dual CPU] Intel Xeon 6960P72160,7853,164500FCLGA7529Server
AMD EPYC 9965192160,7783,210500SP5Server
AMD EPYC 9655P96160,4903,849400SP5Server
[Dual CPU] AMD EPYC 9475F48159,7653,6834000SP5Server
AMD EPYC 9B4532158,7903,540390SP5Server
[Quad CPU] Intel Xeon Platinum 8490H60157,1562,925350FCLGA4677Server
[Dual CPU] Intel Xeon 6767P64157,0283,298350FCLGA4710Server
AMD EPYC 965596156,1103,847400SP5Server
AMD Ryzen Threadripper PRO 9985WX64154,3614,512350sTR5Desktop, Server
[Dual CPU] AMD EPYC 9845160153,2653,105390SP5Server
[Dual CPU] Intel Xeon 6760P64153,1873,214330FCLGA4710Server
AMD EPYC 9845160152,9853,144390SP5Server
[Dual CPU] AMD EPYC 9684X96150,9742,893400SP5Server
[Dual CPU] Intel Xeon 6787P86148,8963,137350FCLGA4710Server
[Dual CPU] AMD EPYC 9474F48147,8983,212360SP5Server
AMD EPYC 9575F64147,5414,152400SP5Server
[Dual CPU] AMD EPYC 965496145,4212,786360SP5Server
[Dual CPU] AMD EPYC 9B1496145,3972,859NAUnknownServer
AMD Ryzen Threadripper PRO 7995WX96143,0173,830350sTR5Desktop, Server
[Dual CPU] AMD EPYC 955464142,4922,948360SP5Server
[Dual CPU] AMD EPYC 963484142,2812,863290SP5Server
[Dual CPU] Intel Xeon 6747P48142,2573,227330FCLGA4710Server
AMD Ryzen Threadripper 9980X64142,0694,526350sTR5Desktop
[Dual CPU] Intel Xeon Platinum 8592+64139,9243,215350FCLGA4677Server
[Dual CPU] Intel Xeon Platinum 857056137,5883,224350FCLGA4677Server
AMD Ryzen Threadripper 7980X64135,7874,014350sTR5Desktop
AMD EPYC 9555P64135,4413,736360SP5Server
AMD EPYC 956572135,2213,696400SP5Server
[Dual CPU] AMD EPYC 953464135,0592,882280SP5Server
[Dual CPU] Intel Xeon Platinum 8558P48133,2233,217350FCLGA4677Server
AMD Ryzen Threadripper PRO 7985WX64132,9463,962350sTR5Desktop, Server
[Dual CPU] AMD EPYC 933532132,4383,741210SP5Server
[Quad CPU] AMD Instinct MI300A Accelerator24132,0202,926550UnknownServer
AMD EPYC 9745128130,6982,806400SP5Server
Intel Xeon 6960P72130,6593,287500FCLGA7529Server
[Dual CPU] AMD EPYC 9734112130,0342,369340SP5Server
[Dual CPU] AMD EPYC 9754128130,0152,362360SP5Server
[Dual CPU] AMD EPYC 945448129,7012,982290SP5Server
[Dual CPU] Intel Xeon Platinum 8488C48127,2073,096385UnknownServer
[Dual CPU] Intel Xeon Platinum 8568Y+48127,1723,033350FCLGA4677Server
[Dual CPU] Intel Xeon 6737P32127,0753,366270FCLGA4710Server
[Dual CPU] Intel Xeon Platinum 8480+56126,3532,996350FCLGA4677Server
AMD EPYC 9B1496126,2882,897NAUnknownServer
[Dual CPU] Intel Xeon 6736P36125,4443,445205FCLGA4710Server
[Dual CPU] AMD EPYC 9374F32125,2593,264320SP5Server
AMD EPYC 9J1496124,6372,903NASP5Server
[Dual CPU] Intel Xeon 6530P32124,4343,453225FCLGA4710Server
[Quad CPU] Intel Xeon Gold 6448H32123,3612,664250FCLGA4677Server
AMD EPYC 9475F48122,4763,7794000SP5Server
[Dual CPU] Intel Xeon 6740P48122,1653,185270FCLGA4710Server
AMD EPYC 9684X96122,0172,892400SP5Server
[Dual CPU] AMD EPYC 9384X32121,5603,085320SP5Server
[Dual CPU] Intel Xeon Platinum 846848121,2192,967350FCLGA4677Server
AMD EPYC 965496119,2462,898360SP5Server
[Dual CPU] AMD EPYC 7J1364119,1342,594NAUnknownServer
[Dual CPU] Intel Xeon 6730P32118,8743,215250FCLGA4710Server
Intel Xeon 6781P80117,9463,152350FCLGA4710Server
AMD EPYC 9V7480117,6062,888400SP5Server
[Dual CPU] Intel Xeon Platinum 8458P44117,1362,841350FCLGA4677Server
AMD EPYC 9455P48116,9263,747300SP5Server
AMD EPYC 9R1496116,4752,920NAUnknownServer
AMD EPYC 9654P96116,3242,731360SP5Server
[Dual CPU] AMD EPYC 7T8364115,5222,540280SP3Server
[Dual CPU] Intel Xeon Platinum 858060114,4072,402350FCLGA4677Server
AMD EPYC 9D25126114,2752,481NAUnknownServer
[Dual CPU] AMD Ryzen Threadripper PRO 3995WX64113,6932,559280sWRX8Desktop, Server
[Dual CPU] AMD EPYC 935432113,5442,934280SP5Server
[Dual CPU] AMD EPYC 776364113,4412,446280SP3Server
[Dual CPU] AMD EPYC 9274F24112,9433,371NASP5Server
[Dual CPU] Intel Xeon Platinum 8462Y+32111,2343,054300FCLGA4677Server
[Dual CPU] Intel Xeon Max 948056111,2132,528350FCLGA4677Server
[Dual CPU] AMD EPYC 7B1364110,9442,461240UnknownServer
[Dual CPU] Intel Xeon Gold 6554S36110,8353,267270FCLGA4677Server
[Dual CPU] AMD EPYC 7773X64110,4122,445280SP3Server
[Dual CPU] Intel Xeon Platinum 8457C48109,9052,564NAFCLGA4677Server
[Dual CPU] Intel Xeon Platinum 847052109,6102,485350FCLGA4677Server
[Dual CPU] AMD EPYC 7R1348109,3482,438NAUnknownServer
[Dual CPU] AMD EPYC 771364109,2072,454225SP3Server
[Dual CPU] AMD EPYC 933432109,1093,042NASP5Server
AMD Ryzen Threadripper 9970X32108,4404,536350sTR5Desktop
[Dual CPU] AMD EPYC 7Y8364108,2812,622280SP3Mobile/Embedded
AMD EPYC 963484107,9442,924290SP5Server
AMD Ryzen Threadripper PRO 9975WX32106,9424,439350sTR5Desktop, Server
[Dual CPU] Intel Xeon Platinum 855848105,5342,554330FCLGA4677Server
AMD EPYC 9554P64104,9202,737360SP5Server
AMD EPYC 955464104,3362,909360SP5Server
[Dual CPU] AMD EPYC 7573X32103,4662,665280SP3Server
[Dual CPU] Intel Xeon Platinum 8562Y+32102,8772,912300FCLGA4677Server
[8-Way CPU] Intel Xeon E7-8890 v4 @ 2.20GHz24102,4112,211165LGA2011-v3Server
AMD EPYC 9734112102,2862,310340SP5Server
AMD EPYC 9474F48102,2553,155360SP5Server
[Dual CPU] AMD EPYC 7K8364102,0532,458NAUnknownServer
Intel Xeon 6747P48101,6853,236330FCLGA4710Server
[Dual CPU] AMD EPYC 75F332101,4292,664280SP3Server
Intel Xeon 6741P48100,6603,195300FCLGA4710Server
[Dual CPU] Intel Xeon Gold 6448Y32100,6423,065225FCLGA4677Server
[Dual CPU] AMD EPYC 7V1364100,3182,171240SP3Server
[Dual CPU] AMD EPYC 9175F1699,8063,610320SP5Server
AMD Ryzen Threadripper 7970X3299,1824,169350sTR5Desktop
[Dual CPU] Intel Xeon 6520P2499,0163,349210FCLGA4710Server
[Dual CPU] AMD Ryzen Threadripper PRO 3975WX3298,8112,676280sWRX8Desktop, Server

Hardware Selection for FLOW-3D Products – FLOW-3D

๋ถ€๋ถ„ ์—…๋ฐ์ดํŠธ / ใˆœ์—์Šคํ‹ฐ์•„์ด์”จ์•ค๋”” ์†”๋ฃจ์…˜์‚ฌ์—…๋ถ€

In this blog, Flow Scienceโ€™s IT Manager Matthew Taylor breaks down the different hardware components and suggests some ideal configurations for getting the most out of your FLOW-3D products.

๊ฐœ์š”

๋ณธ ์ž๋ฃŒ๋Š” Flow Science์˜ IT ๋งค๋‹ˆ์ € Matthew Taylor๊ฐ€ ์ž‘์„ฑํ•œ ์ž๋ฃŒ๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ STI C&D์—์„œ ์ผ๋ถ€ ์ž๋ฃŒ๋ฅผ ๋ณด์™„ํ•œ ์ž๋ฃŒ์ž…๋‹ˆ๋‹ค. ๋ณธ ์ž๋ฃŒ๋ฅผ ํ†ตํ•ด FLOW-3D ์‚ฌ์šฉ์ž๋Š” ์ตœ์ƒ์˜ ํ•ด์„์šฉ ์ปดํ“จํ„ฐ๋ฅผ ์„ ํƒํ•  ๋•Œ ๋„์›€์„ ๋ฐ›์„ ์ˆ˜ ์žˆ์„ ๊ฒƒ์œผ๋กœ ๊ธฐ๋Œ€ํ•ฉ๋‹ˆ๋‹ค.

์ˆ˜์น˜ํ•ด์„์„ ํ•˜๋Š” ์—”์ง€๋‹ˆ์–ด๋“ค์€ ์‚ฌ์šฉํ•˜๋Š” ์ปดํ“จํ„ฐ์˜ ์„ฑ๋Šฅ์— ๋ฌด์ฒ™ ๋ฏผ๊ฐํ•ฉ๋‹ˆ๋‹ค. ๊ทธ ์ด์œ ๋Š” ์ˆ˜์น˜ํ•ด์„์„ ํ•˜๊ธฐ ์œ„ํ•ด ์—ฌ๋Ÿฌ ์ค€๋น„๋‹จ๊ณ„์™€ ๋ถ„์„ ์‹œ๊ฐ„๋“ค์ด ํ•„์š”ํ•˜์ง€๋งŒ ๋‹น์—ฐํžˆ ์••๋„์ ์œผ๋กœ ์‹œ๊ฐ„์„ ์†Œ๋ชจํ•˜๋Š” ๊ฒƒ์ด ๊ณ„์‚ฐ ์‹œ๊ฐ„์ด๊ธฐ ๋•Œ๋ฌธ์ผ ๊ฒƒ์ž…๋‹ˆ๋‹ค.

๋”ฐ๋ผ์„œ ์ˆ˜์น˜ํ•ด์„์šฉ ์ปดํ“จํ„ฐ์˜ ์„ ์ •์„ ์œ„ํ•ด์„œ ๋‹จ์œ„ ์‹œ๊ฐ„๋‹น ์‹œ์Šคํ…œ์ด ์ฒ˜๋ฆฌํ•˜๋Š” ์ž‘์—…์˜ ์ˆ˜๋‚˜ ์ฒ˜๋ฆฌ๋Ÿ‰, ์‘๋‹ต์‹œ๊ฐ„, ํ‰๊ท  ๋Œ€๊ธฐ ์‹œ๊ฐ„ ๋“ฑ์˜ ์š”์†Œ๋ฅผ ๋ณตํ•ฉ์ ์œผ๋กœ ๊ฒ€ํ† ํ•˜์—ฌ ๊ฒฐ์ •ํ•˜๊ฒŒ ๋ฉ๋‹ˆ๋‹ค.

๋˜ํ•œ ์ˆ˜์น˜ํ•ด์„์— ์ ํ•ฉํ•œ ์„ฑ๋Šฅ์„ ๊ฐ€์ง„ ์ปดํ“จํ„ฐ๋ฅผ ์„ ๋ณ„ํ•˜๋Š” ๋ฐฉ๋ฒ•์œผ๋กœ CPU ๊ณ„์‚ฐ ์ฒ˜๋ฆฌ์†๋„์ธ Flops/sec ์„ฑ๋Šฅ๋„ ์ค‘์š”ํ•˜์ง€๋งŒ ์ˆ˜์น˜ํ•ด์„์„ ์ˆ˜ํ–‰ํ•  ๋•Œ ๋ฐฉ๋Œ€ํ•œ ๊ณ„์‚ฐ ๊ฒฐ๊ณผ๋ฅผ ๋””์Šคํฌ์— ์ €์žฅํ•˜๊ณ , ํ•ด์„๊ฒฐ๊ณผ๋ฅผ ๋ถ„์„ํ•  ๋•Œ๋Š” ๊ทธ๋ž˜ํ”ฝ ์„ฑ๋Šฅ๋„ ํฌ๊ฒŒ ์ขŒ์šฐํ•˜๊ธฐ ๋•Œ๋ฌธ์— SSD ๋””์Šคํฌ์™€ ๊ทธ๋ž˜ํ”ฝ์นด๋“œ์—๋„ ๊ด€์‹ฌ์„ ๊ฐ€์ ธ์•ผ ํ•ฉ๋‹ˆ๋‹ค.

FLOW SCIENCE, INC. ์—์„œ๋Š” ์ผ๋ฐ˜์ ์ธ FLOW-3D๋ฅผ ์ง€์›ํ•˜๋Š” ์ตœ์†Œ ์ปดํ“จํ„ฐ ์‚ฌ์–‘๊ณผ O/S ํ”Œ๋žซํผ ๊ฐ€์ด๋“œ๋ฅผ ์ œ์‹œํ•˜์ง€๋งŒ, ๋„์ž… ๋‹ด๋‹น์ž์˜ ๊ฒฝ์šฐ, ์ตœ์ƒ์˜ ์กฐ๊ฑด์—์„œ ํ•ด์„ ์—…๋ฌด๋ฅผ ์ˆ˜ํ–‰ํ•ด์•ผ ํ•˜๊ธฐ ๋•Œ๋ฌธ์— ๊ฐ€๋Šฅํ•˜๋ฉด ์ตœ๊ณ ์˜ ์„ฑ๋Šฅ์„ ์ œ๊ณตํ•˜๋Š” ํ•ด์„์šฉ ์žฅ๋น„ ๋„์ž…์ด ํ•„์š”ํ•ฉ๋‹ˆ๋‹ค. ์ด ์ž๋ฃŒ๋Š” 2022๋…„ ํ˜„์žฌ FLOW-3D ์ œํ’ˆ์„ ํšจ๊ณผ์ ์œผ๋กœ ์‚ฌ์šฉํ•˜๊ธฐ ์œ„ํ•œ ํ•˜๋“œ์›จ์–ด ์„ ํƒ์— ๋Œ€ํ•ด ์‚ฌ์ „์— ๊ฒ€ํ† ๋˜์–ด์•ผ ํ•  ๋‚ด์šฉ๋“ค์— ๋Œ€ํ•ด ์ž์„ธํžˆ ์„ค๋ช…ํ•ฉ๋‹ˆ๋‹ค. ๊ทธ๋ฆฌ๊ณ  ์‹คํ–‰ ์ค‘์ธ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ์œ ํ˜•์— ๋”ฐ๋ผ ๋‹ค์–‘ํ•œ ๊ตฌ์„ฑ์— ๋Œ€ํ•œ ๋ช‡ ๊ฐ€์ง€ ์•„์ด๋””์–ด๋ฅผ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค.

CPU ์ตœ์‹  ๋‰ด์Šค

2025๋…„ 11์›” 26์ผ ๊ธฐ์ค€

CPU Benchmarks
์ด๋ฏธ์ง€ ์ถœ์ฒ˜ : https://www.cpubenchmark.net/high_end_cpus.html

CPU์˜ ์„ ํƒ

CPU๋Š” ์ „๋ฐ˜์ ์ธ ์„ฑ๋Šฅ์— ํฐ ์˜ํ–ฅ์„ ๋ฏธ์น˜๋ฉฐ, ๋Œ€๋ถ€๋ถ„์˜ ๊ฒฝ์šฐ ์ปดํ“จํ„ฐ์˜ ๊ฐ€์žฅ ์ค‘์š”ํ•œ ๊ตฌ์„ฑ ์š”์†Œ์ž…๋‹ˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ๋ฐ์Šคํฌํƒ‘ ํ”„๋กœ์„ธ์„œ๋ฅผ ๊ตฌ์ž…ํ•  ๋•Œ๊ฐ€ ๋˜๋ฉด Intel ๊ณผ AMD์˜ ๋ชจ๋ธ ๋ฒˆํ˜ธ์™€ ์‚ฌ์–‘์„ ์ดํ•ดํ•˜๋Š” ๊ฒƒ์ด ์–ด๋ ค์›Œ ๋ณด์ผ ๊ฒƒ์ž…๋‹ˆ๋‹ค.
๊ทธ๋ฆฌ๊ณ , CPU ์„ฑ๋Šฅ์„ ํ‰๊ฐ€ํ•˜๋Š” ๋ฐฉ๋ฒ•์— ์˜ํ•ด ๊ฐ€์žฅ ์ข‹์€ CPU๋ฅผ ๊ณ ๋ฅธ๋‹ค๊ณ  ํ•ด๋„ ๋ณด๋“œ์™€, ๋ฉ”๋ชจ๋ฆฌ, ์ฃผ๋ณ€ Chip ๋“ฑ ์—ฌ๋Ÿฌ๊ฐ€์ง€ ์กฐ๊ฑด์— ์˜ํ•ด ์„ฑ๋Šฅ์ด ๋‹ฌ๋ผ์งˆ ์ˆ˜ ์žˆ๊ธฐ ๋•Œ๋ฌธ์— ์„ฑ๋Šฅํ‰๊ฐ€ ๊ฒฐ๊ณผ๋ฅผ ๊ธฐ์ค€์œผ๋กœ ์‹œ์Šคํ…œ์„ ๊ตฌ์ž…ํ•  ๊ฒฝ์šฐ, ๋‹จ์ผ CPU๋‚˜ ๋ถ€ํ’ˆ์œผ๋กœ ์ˆœ์œ„๊ฐ€ ์ •ํ•ด์ง„ ์ž๋ฃŒ๋ณด๋‹ค๋Š” ์‹œ์Šคํ…œ ์ „์ฒด๋ฅผ ๋Œ€์ƒ์œผ๋กœ ํ‰๊ฐ€ํ•œ ์ˆœ์œ„ํ‘œ๋ฅผ ๋ณด๊ณ  ์„ ์ •ํ•˜๋Š” ์ง€ํ˜œ๊ฐ€ ํ•„์š”ํ•ฉ๋‹ˆ๋‹ค.

<์ถœ์ฒ˜>https://www.cpubenchmark.net/high_end_cpus.html

์ˆ˜์น˜ํ•ด์„์„ ์ˆ˜ํ–‰ํ•˜๋Š” CPU์˜ ๊ฒฝ์šฐ ์˜ˆ์‚ฐ์— ๋”ฐ๋ผ Core๊ฐ€ ๋งŽ์ง€ ์•Š์€ CPU๋ฅผ ๊ตฌ๋งคํ•ด์•ผ ํ•˜๋Š” ๊ฒฝ์šฐ๋„ ์žˆ์„ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ๋ณดํ†ต Core๊ฐ€ ๋งŽ๋‹ค๊ณ  ํ•ด์„ ์†๋„๊ฐ€ ์„ ํ˜•์œผ๋กœ ์ฆ๊ฐ€ํ•˜์ง€๋Š” ์•Š์œผ๋ฉฐ, ํ•ด์„ ์ผ€์ด์Šค์— ๋”ฐ๋ผ ์ ์ • Core์ˆ˜๊ฐ€ ์žˆ์Šต๋‹ˆ๋‹ค. ์ด ๊ฒฝ์šฐ ์˜ˆ์‚ฐ์— ๋งž๋Š” ์„ฑ๋Šฅ ๋Œ€๋น„ ์ตœ์ƒ์˜ ์ฝ”์–ด ์ˆ˜๊ฐ€ ์žˆ์„ ์ˆ˜ ์žˆ๊ธฐ ๋•Œ๋ฌธ์— Single thread Performance ๋„ ๋งค์šฐ ์ค‘์š”ํ•ฉ๋‹ˆ๋‹ค. ์•„๋ž˜ ์„ฑ๋Šฅ ๋„ํ‘œ๋ฅผ ์ฐธ์กฐํ•˜์—ฌ ์˜ˆ์‚ฐ์— ๋งž๋Š” ์ตœ์  CPU๋ฅผ ์ฐพ๋Š”๋ฐ ๋„์›€์„ ๋ฐ›์„ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

CPU ์„ฑ๋Šฅ ๋ถ„์„ ๋ฐฉ๋ฒ•

๋ถ€๋™์†Œ์ˆ˜์  ๊ณ„์‚ฐ์„ ํ•˜๋Š” ์ˆ˜์น˜ํ•ด์„๊ณผ ๋ฐ€์ ‘ํ•œ Computer์˜ ์—ฐ์‚ฐ ์„ฑ๋Šฅ ๋ฒค์น˜๋งˆํฌ ๋ฐฉ๋ฒ•์€ ๋Œ€ํ‘œ์ ์œผ๋กœ ๋„๋ฆฌ ์‚ฌ์šฉ๋˜๋Š” ์•„๋ž˜์™€ ๊ฐ™์€ ๋ฐฉ๋ฒ•์ด ์žˆ์Šต๋‹ˆ๋‹ค.

  • SPECfp ๋ฒค์น˜ ๋งˆํฌ
    https://en.wikipedia.org/wiki/SPECfp์ฐธ๊ณ ๋กœ โ€œSPEC CPU2017โ€ ์„ฑ๋Šฅํ‰๊ฐ€ ๊ธฐ์ค€(ํ˜„์žฌ๊นŒ์ง€ ๊ฐœ๋ฐœ๋œ ๊ฐ€์žฅ ์ตœ์‹  ํ‰๊ฐ€๊ธฐ์ค€์ž„)์œผ๋กœ ํ‰๊ฐ€๋œ 2018๋…„ 2๋ถ„๊ธฐ ์„ฑ๋Šฅํ‰๊ฐ€ ๋ชฉ๋ก์€ ์•„๋ž˜ ์‚ฌ์ดํŠธ์—์„œ ํ™•์ธํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
    https://www.spec.org/cpu2017/results/res2018q2/
  • LINPACK ๋ฒค์น˜ ๋งˆํฌ
    https://en.wikipedia.org/wiki/LINPACK_benchmarks

FLOW-3D์˜ CFD ์†”๋ฒ„ ์„ฑ๋Šฅ์€ CPU์˜ ๋ถ€๋™ ์†Œ์ˆ˜์  ์„ฑ๋Šฅ์— ์ „์ ์œผ๋กœ ์ขŒ์šฐ๋˜๊ธฐ ๋•Œ๋ฌธ์— ๊ณ„์‚ฐ ์ง‘์•ฝ์ ์ธ ํ”„๋กœ๊ทธ๋žจ์ž…๋‹ˆ๋‹ค. ํ˜„์žฌ ์ถœ์‹œ๋œ ์‚ฌ์šฉ ๊ฐ€๋Šฅํ•œ ๋ชจ๋“  CPU๋ฅผ ๋ฒค์น˜๋งˆํ‚นํ•  ์ˆ˜๋Š” ์—†์ง€๋งŒ ์ƒ๋Œ€์ ์ธ ์„ฑ๋Šฅ์„ ํ•ฉ๋ฆฌ์ ์œผ๋กœ ๋น„๊ตํ•  ์ˆ˜๋Š” ์žˆ์Šต๋‹ˆ๋‹ค.

ํŠนํžˆ, ์ˆ˜์น˜ํ•ด์„ ๋ถ„์•ผ์—์„œ ์ฃผ์–ด์ง„ CPU์— ๋Œ€ํ•ด FLOW-3D ์„ฑ๋Šฅ์„ ์ถ”์ •ํ•˜๊ฑฐ๋‚˜ ์—ฌ๋Ÿฌ CPU ์˜ต์…˜ ๊ฐ„์˜ ์„ฑ๋Šฅ์„ ๋น„๊ตํ•˜๊ธฐ ์œ„ํ•œ ์ตœ์ƒ์˜ ์˜ต์…˜์€ Standard Performance Evaluation Corporation์˜ SPEC CPU2017 ๋ฒค์น˜๋งˆํฌ(ํ˜„์žฌ๊นŒ์ง€ ๊ฐœ๋ฐœ๋œ ๊ฐ€์žฅ ์ตœ์‹  ํ‰๊ฐ€๊ธฐ์ค€์ž„)์ด๋ฉฐ, ํŠนํžˆ SPECspeed 2017 Floating Point ๊ฒฐ๊ณผ๊ฐ€ CFD Solver ์„ฑ๋Šฅ์„ ๋งค์šฐ ์ž˜ ์˜ˆ์ธกํ•ฉ๋‹ˆ๋‹ค.

์ด๋Š” ์œ ๋ฃŒ ๋ฒค์น˜๋งˆํฌ์ด๋ฏ€๋กœ ์ œ๊ณต๋œ ๊ฒฐ๊ณผ๋Š” ๋ชจ๋“  CPU ํ…Œ์ŠคํŠธ ๊ฒฐ๊ณผ๋ฅผ ์ œ๊ณตํ•˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค. ๋ณดํ†ต ์ œ์กฐ์‚ฌ๊ฐ€ ASUS, Dell, Lenovo, HP, Huawei ์ •๋„์˜ ์ œํ’ˆ์— ๋Œ€ํ•ด RAM์ด ๋งŽ์€ ๋ฉ€ํ‹ฐ ์†Œ์ผ“ Intel Xeon ๊ธฐ๊ณ„์™€ ๊ฐ™์€ ๊ฐ’๋น„์‹ผ ๊ตฌ์„ฑ์œผ๋กœ ๋œ ์žฅ๋น„ ๊ฒฐ๊ณผ๋“ค์„ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค.

CPU ๋น„๊ต๋ฅผ ์œ„ํ•œ ๋˜ ๋‹ค๋ฅธ ์˜ต์…˜์€ Passmark Software์˜ CPU ๋ฒค์น˜๋งˆํฌ์ž…๋‹ˆ๋‹ค. PerformanceTest ์ œํ’ˆ๊ตฐ์€ ์œ ๋ฃŒ ์†Œํ”„ํŠธ์›จ์–ด์ด์ง€๋งŒ ๋ฌด๋ฃŒ ํ‰๊ฐ€ํŒ์„ ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ๋Œ€๋ถ€๋ถ„์˜ CPU๋Š” ์ €๋ ดํ•œ ์˜ต์…˜์„ ํฌํ•จํ•˜์—ฌ ๋‚˜์—ด๋ฉ๋‹ˆ๋‹ค. ๋ถ€๋™ ์†Œ์ˆ˜์  ์„ฑ๋Šฅ์€ ์ „์ฒด ๋ฒค์น˜๋งˆํฌ์˜ ํ•œ ์ธก๋ฉด์— ๋ถˆ๊ณผํ•˜์ง€๋งŒ ๋‹ค์–‘ํ•œ ์›Œํฌ๋กœ๋“œ์—์„œ ์ „๋ฐ˜์ ์ธ ์„ฑ๋Šฅ์„ ์ œ๋Œ€๋กœ ํ…Œ์ŠคํŠธํ•ฉ๋‹ˆ๋‹ค.

์˜ˆ์‚ฐ์„ ๊ฒฐ์ •ํ•˜๊ณ  ํ•ด๋‹น ์˜ˆ์‚ฐ์— ํ•ด๋‹นํ•˜๋Š” CPU๋ฅผ ์„ ํƒํ•œ ํ›„์—๋Š” ๋ฒค์น˜๋งˆํฌ๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ๊ฐ€๊ฒฉ์— ๊ฐ€์žฅ ์ ํ•ฉํ•œ ์„ฑ๋Šฅ์„ ๊ฒฐ์ •ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

<์ฐธ๊ณ >

SPEC์˜ ๋ฒค์น˜ ๋งˆํฌhttps://www.spec.org/benchmarks.html#cpu )

SPEC CPU 2017 (ํ˜„์žฌ๊นŒ์ง€ ๊ฐ€์žฅ ์ตœ๊ทผ์— ๊ฐœ๋ฐœ๋œ CPU ์„ฑ๋Šฅ์ธก์ • ๊ธฐ์ค€)

๋‹ค๋ฅธ ์ปดํ“จํ„ฐ ์‹œ์Šคํ…œ์—์„œ ์ปดํ“จํŒ… ๊ณ„์‚ฐ์— ๋Œ€ํ•œ ์ง‘์•ฝ์ ์ธ ์›Œํฌ๋กœ๋“œ๋ฅผ ๋น„๊ตํ•˜๋Š”๋ฐ ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ๋Š” ์„ฑ๋Šฅ ์ธก์ •์„ ์ œ๊ณตํ•˜๋„๋ก ์„ค๊ณ„๋œ SPEC CPU 2017์—๋Š” SPECspeed 2017 ์ •์ˆ˜, SPECspeed 2017 ๋ถ€๋™ ์†Œ์ˆ˜์ , SPECrate 2017 ์ •์ˆ˜ ๋ฐ SPECrate 2017 ๋ถ€๋™ ์†Œ์ˆ˜์ ์˜ 4 ๊ฐ€์ง€ ์ œํ’ˆ๊ตฐ์œผ๋กœ ๊ตฌ์„ฑ๋œ 43 ๊ฐœ์˜ ๋ฒค์น˜ ๋งˆํฌ๊ฐ€ ํฌํ•จ๋˜์–ด ์žˆ์Šต๋‹ˆ๋‹ค. SPEC CPU 2017์—๋Š” ์—๋„ˆ์ง€ ์†Œ๋น„ ์ธก์ •์„ ์œ„ํ•œ ์„ ํƒ์  ๋ฉ”ํŠธ๋ฆญ๋„ ํฌํ•จ๋˜์–ด ์žˆ์Šต๋‹ˆ๋‹ค.

<SPEC CPU ๋ฒค์น˜๋งˆํฌ ๋ณด๊ณ ์„œ>

๋ฒค์น˜๋งˆํฌ ๊ฒฐ๊ณผ๋ณด๊ณ ์„œ๋Š” ์ œ์กฐ์‚ฌ๋ณ„, ๋ชจ๋ธ๋ณ„๋กœ ํ…Œ์ŠคํŠธํ•œ ๊ฒฐ๊ณผ๋ฅผ ์•„๋ž˜ ์‚ฌ์ดํŠธ์— ๊ฐ€๋ฉด ๋ณผ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

https://www.spec.org/cgi-bin/osgresults

<๋ณด๊ณ ์„œ ์ƒ˜ํ”Œ>

  • SPEC CPU 2017

Designed to provide performance measurements that can be used to compare compute-intensive workloads on different computer systems, SPEC CPU 2017 contains 43 benchmarks organized into four suites: SPECspeed 2017 Integer, SPECspeed 2017 Floating Point, SPECrate 2017 Integer, and SPECrate 2017 Floating Point. SPEC CPU 2017 also includes an optional metric for measuring energy consumption.

๊ณ ์„ฑ๋Šฅ ์ปดํ“จํŒ… ์„ฑ๋Šฅ ๊ธฐ์ค€ FLOP์˜ ์ดํ•ด

์ถœ์ฒ˜: https://www.itworld.co.kr/article/4113033

ํ”Œ๋กญ์€ ๋ถ€๋™์†Œ์ˆ˜์  ์—ฐ์‚ฐ 1ํšŒ๋ฅผ ๋œปํ•˜๋ฉฐ, ์†Œ์ˆ˜์ ์ด ์žˆ๋Š” ์ˆซ์ž๋ฅผ ๋Œ€์ƒ์œผ๋กœ ํ•œ ๋ฒˆ์˜ ์‚ฐ์ˆ  ๊ณ„์‚ฐ(๋ง์…ˆ, ๋บ„์…ˆ, ๊ณฑ์…ˆ, ๋‚˜๋ˆ—์…ˆ)์„ ์˜๋ฏธํ•œ๋‹ค. ์ปดํ“จํŒ… ๋ฒค์น˜๋งˆํ‚น์—์„œ ์ •์ˆ˜๋ณด๋‹ค ๋ถ€๋™์†Œ์ˆ˜์ ์„ ์“ฐ๋Š” ์ด์œ ๋Š” ์ •์ˆ˜๋ณด๋‹ค ์ธก์ • ์ง€ํ‘œ๋กœ์„œ ์ •ํ™•๋„๊ฐ€ ํ›จ์”ฌ ๋†’๊ธฐ ๋•Œ๋ฌธ์ด๋‹ค.

ํ”Œ๋กญ ์•ž์—๋Š” 1์ดˆ ๋™์•ˆ ์ˆ˜ํ–‰ํ•˜๋Š” ์—ฐ์‚ฐ ํšŸ์ˆ˜๋ฅผ ๋‚˜ํƒ€๋‚ด๋Š” ์ ‘๋‘์–ด๊ฐ€ ๋ถ™์œผ๋ฉฐ, ๋ฉ”๊ฐ€ํ”Œ๋กญ(1์ดˆ๋‹น 100๋งŒ ํšŒ)๋ถ€ํ„ฐ ๊ธฐ๊ฐ€ํ”Œ๋กญ(10์–ต), ํ…Œ๋ผํ”Œ๋กญ(1์กฐ), ํŽ˜ํƒ€ํ”Œ๋กญ(1์ฒœ์กฐ), ๊ทธ๋ฆฌ๊ณ  ์ตœ๊ทผ์—๋Š” ์—‘์‚ฌํ”Œ๋กญ(100๊ฒฝ)๊นŒ์ง€ ํ™•์žฅ๋๋‹ค. ์ตœ๊ทผ ๋ช‡ ๋…„ ๋™์•ˆ ์—…๊ณ„๊ฐ€ ์—‘์‚ฌํ”Œ๋กญ ๋‹ฌ์„ฑ ๊ฒฝ์Ÿ์— ๋งค๋‹ฌ๋ฆฐ ์ด์œ ๋Š” ๋งˆ๋ฒ• ๊ฐ™์€ ์„ฑ๋Šฅ ๋„์•ฝ์ด๋‚˜ ๋Œ€๋ฐœ๊ฒฌ ๋•Œ๋ฌธ์ด ์•„๋‹ˆ๋ผ, ๋‹จ์ง€ ์ž๋ž‘๊ฑฐ๋ฆฌ๋ฅผ ์œ„ํ•œ ๊ฒƒ์ด์—ˆ๋‹ค.

์ปดํ“จํŒ…์—์„œ ๋ถ€๋™์†Œ์ˆ˜์  ์ •๋ฐ€๋„๋Š” FP4, ์ฆ‰ 4๋น„ํŠธ ๋ถ€๋™์†Œ์ˆ˜์ ์—์„œ ์‹œ์ž‘ํ•ด FP64๊นŒ์ง€ ๋‘ ๋ฐฐ์”ฉ ์ปค์ง„๋‹ค. ์ด๋ก ์ ์œผ๋กœ FP128๋„ ์žˆ์ง€๋งŒ, ์ง€ํ‘œ๋กœ๋Š” ์‚ฌ์‹ค์ƒ ์“ฐ์ง€ ์•Š๋Š”๋‹ค. FP64๋Š” IEEE 754 ํ‘œ์ค€์— ๋”ฐ๋ฅธ 64๋น„ํŠธ ๋ฐฐ์ •๋ฐ€๋„(double-precision) ๋ถ€๋™์†Œ์ˆ˜์  ํ˜•์‹์œผ๋กœ๋„ ๋ถˆ๋ฆฌ๋ฉฐ, ์‹ค์ˆ˜๋ฅผ ๋†’์€ ์ •ํ™•๋„๋กœ ํ‘œํ˜„ํ•˜๊ธฐ ์œ„ํ•œ ๊ทœ๊ฒฉ์ด๋‹ค.

FP64๋Š” ์ •๋ฐ€๋„๊ฐ€ ๋†’๊ธฐ ๋•Œ๋ฌธ์— ๊ณ„์‚ฐํ•˜๋Š” ๋ฐ ๊ฐ€์žฅ ๋งŽ์€ ์‹œ๊ฐ„์ด ํ•„์š”ํ•˜๋‹ค. FP64 ๊ณ„์‚ฐ ์‹œ๊ฐ„์€ FP32์˜ 2๋ฐฐ, FP16์˜ 4๋ฐฐ๊ฐ€ ๊ฑธ๋ฆฌ์ง€๋งŒ, ๊ณ„์‚ฐ ์ •ํ™•๋„๋Š” FP32์˜ 2๋ฐฐ, FP16์˜ 4๋ฐฐ์— ํ•ด๋‹นํ•œ๋‹ค. ๋ฉ”๋ชจ๋ฆฌ ์‚ฌ์šฉ๋Ÿ‰๋„ ๊ฐ™์€ ์›๋ฆฌ๋กœ FP64๊ฐ€ FP32์˜ 2๋ฐฐ, FP16์˜ 4๋ฐฐ๋ฅผ ์‚ฌ์šฉํ•œ๋‹ค.

๋งค๋…„ 6์›”๊ณผ 11์›”์— ์ง‘๊ณ„ยท๋ฐœํ‘œ๋˜๋Š” ํ†ฑ500 ์Šˆํผ์ปดํ“จํ„ฐ ๋ชฉ๋ก์€ ์Šˆํผ์ปดํ“จํ„ฐ ์„ฑ๋Šฅ์„ FP64 ๊ธฐ์ค€์œผ๋กœ ์ธก์ •ํ•˜๋ฉฐ, ์Šˆํผ์ปดํ“จํ„ฐ์— ๊ฐ€์žฅ ๊ฐ€ํ˜นํ•œ ์ŠคํŠธ๋ ˆ์Šค ํ…Œ์ŠคํŠธ๋กœ ํ†ตํ•œ๋‹ค.

ํ†ฑ500 ๋ชฉ๋ก์ด 32๋น„ํŠธ๋‚˜ 16๋น„ํŠธ๊ฐ€ ์•„๋‹ˆ๋ผ 64๋น„ํŠธ๋กœ ์ธก์ •๋˜๋Š” ์ด์œ ๋Š” ํ†ฑ500 ๋ชฉ๋ก์ด ๊ณผํ•™ ์ปดํ“จํŒ… ์• ํ”Œ๋ฆฌ์ผ€์ด์…˜์˜ ๋Œ€๋ฆฌ ์ง€ํ‘œ์ด๋ฉฐ ๊ณผํ•™ ์ปดํ“จํŒ… ์• ํ”Œ๋ฆฌ์ผ€์ด์…˜์ด ์—ฌ์ „ํžˆ ๊ณ„์‚ฐ์—์„œ 64๋น„ํŠธ ์ •ํ™•๋„์— ์ฃผ๋กœ ์˜์กดํ•˜๊ธฐ ๋•Œ๋ฌธ์ด๋‹ค. HPCยท์Šˆํผ์ปดํ“จํŒ… ์ „๋ฌธ ์‹œ์žฅ์กฐ์‚ฌ์—…์ฒด ์ธํ„ฐ์„นํŠธ 360์˜ CEO ์• ๋””์Šจ ์Šค๋„ฌ์€ โ€œ์ผ๋ถ€ ์˜์—ญ์—์„œ ์ •๋ฐ€๋„๋ฅผ ๋‚ฎ์ถฐ ์†๋„๋ฅผ ๋” ๋‚ผ ์ˆ˜ ์žˆ์ง€ ์•Š๋А๋ƒ๋Š” ์ง€์ ๋„ ์žˆ๊ณ  ์ค‘์š”ํ•˜์ง€ ์•Š์€ ์˜์—ญ์—์„œ ๊ณผ๋„ํ•œ ๊ณ„์‚ฐ์„ ํ•˜๊ณ  ์žˆ์ง€ ์•Š๋А๋ƒ๋Š” ์งˆ๋ฌธ๋„ ๋‚˜์˜ค์ง€๋งŒ, ๊ณผํ•™ ์ปดํ“จํŒ…์—์„œ๋Š” 64๋น„ํŠธ๊ฐ€ ์—ฌ์ „ํžˆ ์‚ฌ์‹ค์ƒ ํ‘œ์ค€์ด๋‹คโ€๋ผ๊ณ  ๋งํ–ˆ๋‹ค.

์Šค๋„ฌ์€ FP64๊ฐ€ ๊ณผํ•™ ์ปดํ“จํŒ…์˜ ๊ฑฐ์˜ ๋ชจ๋“  ๋ถ„์•ผ์—์„œ ์“ฐ์ธ๋‹ค๊ณ  ๋งํ–ˆ๋‹ค. ์—ฐ๊ตฌ ์˜์—ญ์—์„œ๋Š” ์œ ์ฒด๊ฐ€ ํฌํ•จ๋ผ ๋†’์€ ์ •ํ™•๋„๋กœ ๋ชจ๋ธ๋งํ•ด์•ผ ํ•˜๋Š” ๊ธฐ์ƒ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์ด๋‚˜ ํ•ด์–‘ ๋ชจ๋ธ๋ง์ด ํฌํ•จ๋œ๋‹ค. ๋˜ํ•œ, ์ž๋™์ฐจ ์ถฉ๋Œ ์‹œ๋ฎฌ๋ ˆ์ด์…˜, ํ•ญ๊ณต๊ธฐ ๋‚ ๊ฐœ ๊ณต๋ ฅ ๋ถ„์„, ์„์œ  ์‹œ์ถ” ์ง€์ ์„ ์ฐพ๊ธฐ ์œ„ํ•œ ํƒ„์„ฑํŒŒ ๋ถ„์„, ์‹ ์•ฝ ์„ค๊ณ„๋ฅผ ์œ„ํ•œ ๋ถ„์ž ๋ชจ๋ธ๋ง ๊ฐ™์€ ํญ๋„“์€ ์ƒ์šฉ ์• ํ”Œ๋ฆฌ์ผ€์ด์…˜์—๋„ ์ ์šฉ๋œ๋‹ค. ์ด๋Ÿฐ ์• ํ”Œ๋ฆฌ์ผ€์ด์…˜์€ ๊ณ„์‚ฐ์„ ์œ„ํ•ด ๋†’์€ ์ˆ˜์ค€์˜ ๊ณผํ•™์  ์ •๋ฐ€๋„๋ฅผ ์š”๊ตฌํ•œ๋‹ค๊ณ  ๋งํ–ˆ๋‹ค.

๊ทธ ๋‹ค์Œ ๋‹จ๊ณ„๋Š” FP32, ์ฆ‰ ๋‹จ์ •๋ฐ€๋„ ๋ถ€๋™์†Œ์ˆ˜์ ์ด๋‹ค. FP32๋Š” ์ƒ๋ช…๊ณผํ•™ ์‹œ๋ฎฌ๋ ˆ์ด์…˜๊ณผ ๊ธˆ์œต ๋ชจ๋ธ๋ง์—๋„ ์“ฐ์ด๋ฉฐ, ๋ชจ๋ธ ์š”๊ตฌ ์ˆ˜์ค€์ด ๊ทธ๋ฆฌ ์—„๊ฒฉํ•˜์ง€ ์•Š์•„ FP32๋ฅผ ์จ๋„ ๋˜๋Š” ๊ฒฝ์šฐ์— ์ฃผ๋กœ ์‚ฌ์šฉ๋œ๋‹ค.

FP16์€ AI ์ถ”๋ก ์—์„œ ์ผ์ƒ์ ์œผ๋กœ ์“ฐ์ด์ง€๋งŒ, AI ํ•™์Šต์€ FP64์— ์ „์ ์œผ๋กœ ์˜์กดํ•œ๋‹ค. ์ด์œ ๋Š” ๊ฐ„๋‹จํ•˜๋‹ค. ์˜ˆ๋ฅผ ๋“ค์–ด AI๋กœ ๊ฐœ๋‚˜ ๊ณ ์–‘์ด ์ด๋ฏธ์ง€๋ฅผ ๊ตฌ๋ถ„ํ•˜๋„๋ก ํ•™์Šต์‹œํ‚จ๋‹ค๊ณ  ๊ฐ€์ •ํ•ด ๋ณด์ž. ๊ฐœ๋‚˜ ๊ณ ์–‘์ด๋ฅผ ๊ตฌ์„ฑํ•˜๋Š” ํŠน์ง•์„ ์ธ์‹ํ•˜๋ ค๋ฉด FP64์˜ ๋ฏธ์„ธํ•œ ์ •๋ฐ€๋„๊ฐ€ ํ•„์š”ํ•˜๋‹ค. ํ•™์Šต์ด ๋๋‚˜๋ฉด ์ž‘์—…์€ ํŒจํ„ด ๋งค์นญ์œผ๋กœ ๋ฐ”๋€Œ๋ฉฐ, ๊ฐœ ์ด๋ฏธ์ง€์ธ์ง€ ๊ณ ์–‘์ด ์ด๋ฏธ์ง€์ธ์ง€ ํŒ๋‹จํ•˜๋Š” ๋ฐ๋Š” ๋œ ๋ถ€๋‹ด์Šค๋Ÿฌ์šด FP16์œผ๋กœ๋„ ์ถฉ๋ถ„ํ•˜๋‹ค. ์Šค๋„ฌ์€ ์–ธ์–ด ํ•™์Šต์ด๋‚˜ ์ธ์‹์—์„œ๋„ ๋น„์Šทํ•˜๊ฒŒ, ๋งํ•  ๋•Œ ๋‹จ์–ด ํ•˜๋‚˜๋ฅผ ์•ฝ๊ฐ„ ํ‹€๋ฆฌ๊ฒŒ ๋ฐœ์Œํ•ด๋„ AI๋Š” ๋Œ€์ฒด๋กœ ์˜๋„๋ฅผ ํŒŒ์•…ํ•œ๋‹ค๊ณ  ์„ค๋ช…ํ–ˆ๋‹ค.

16๋น„ํŠธ ์ •๋ฐ€๋„์—๋Š” bfloat16์ด๋ผ๋Š” ๋‘ ๋ฒˆ์งธ ํ˜•ํƒœ๋„ ์žˆ๋‹ค. bfloat๋Š” ๊ตฌ๊ธ€์˜ ํ…์„œ ํ”„๋กœ์„ธ์„œ์šฉ์œผ๋กœ ์ฒ˜์Œ ๊ฐœ๋ฐœ๋์ง€๋งŒ, ์ดํ›„ ์ธํ…”๊ณผ AMD, ์—”๋น„๋””์•„์— ๋ผ์ด์„ ์Šค๋ฅผ ์ œ๊ณตํ–ˆ๋‹ค. bfloat๋Š” ์œ ์—ฐํ•œ ๊ฐ€๋ณ€ ํ˜•์‹์ธ ๋ฐ˜๋ฉด FP16์€ ๋งค๋ฒˆ ๋™์ผํ•œ 16๋น„ํŠธ ํ˜•์‹์ด๋‹ค. ์Šค๋„ฌ์€ โ€œ๊ธฐ์ˆ ์ ์œผ๋กœ ๋ณต์žกํ•˜์ง€๋งŒ ๊ฒฐ๋ก ์€ bfloat๊ฐ€ FP16๋ณด๋‹ค ์ •๋ฐ€๋„๋Š” ๋‚ฎ๊ณ  ์†๋„๋Š” ๋” ๋น ๋ฅด๊ธฐ ๋•Œ๋ฌธ์— ์ฃผ์š” ์นฉ ์—…์ฒด๊ฐ€ ๋ชจ๋‘ bfloat๋ฅผ ์“ด๋‹คโ€๋ผ๊ณ  ์„ค๋ช…ํ–ˆ๋‹ค.

๋งˆ์ง€๋ง‰์œผ๋กœ FP8๊ณผ FP4๊ฐ€ ์žˆ๋‹ค. FP8์€ ์ •๋ฐ€๋„ ์š”๊ตฌ๊ฐ€ ๋‚ฎ์€ ์ถ”๋ก  ์ฒ˜๋ฆฌ ์—ฐ์‚ฐ์— ์‚ฌ์šฉํ•œ๋‹ค. ๋˜ ๋‹ค๋ฅธ ํ•ต์‹ฌ ์šฉ๋„๋Š” ์˜ค๋ฅ˜ ํ—ˆ์šฉ๋„๊ฐ€ ๋” ๋†’์€ ์‹ ๊ฒฝ๋ง ํ•™์Šต์ด๋‹ค. ์—ฐ์‚ฐ ๋ถ€๋‹ด์ด ์ ์€ ์ž‘์—…์„ ์ˆ˜ํ–‰ํ•˜๋Š” ์—ฃ์ง€ ์ปดํ“จํŒ…์—์„œ๋„ ์“ฐ์ธ๋‹ค. FP8์€ GPU์—์„œ๋งŒ ์“ฐ์ด๋ฉฐ, ์ธํ…”๊ณผ AMD ํ”„๋กœ์„ธ์„œ์—์„œ๋Š” ์“ฐ์ง€ ์•Š๋Š”๋‹ค.

ํด๋Ÿญ ๋Œ€ ์ฝ”์–ด

์ผ๋ฐ˜์ ์œผ๋กœ ํด๋Ÿญ ์†๋„๊ฐ€ ๋†’์€ ์นฉ์€ CPU ์ฝ”์–ด๋ฅผ ๋” ์ ๊ฒŒ ํฌํ•จํ•ฉ๋‹ˆ๋‹ค. FLOW-3D๋Š” ๋ณ‘๋ ฌํ™”๊ฐ€ ์ž˜๋˜์–ด ์žˆ์ง€๋งŒ, ๋””์Šคํฌ ์“ฐ๊ธฐ์™€ ๊ฐ™์ด ์ผ๋ถ€ ์ž‘์—…์€ ๊ธฐ๋ณธ์ ์œผ๋กœ ๋‹จ์ผ ์Šค๋ ˆ๋“œ ๋ฐฉ์‹์œผ๋กœ ์ˆ˜ํ–‰๋ฉ๋‹ˆ๋‹ค. ๋”ฐ๋ผ์„œ ๋ฐ์ดํ„ฐ ์ถœ๋ ฅ์ด ๋นˆ๋ฒˆํ•˜๊ฑฐ๋‚˜ ํฐ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์€ ์ข…์ข… ๋” ๋งŽ์€ ์ฝ”์–ด๊ฐ€ ์•„๋‹Œ, ๋” ๋†’์€ ํด๋Ÿญ ์†๋„๋ฅผ ํ™œ์šฉํ•ฉ๋‹ˆ๋‹ค. ๋งˆ์ฐฌ๊ฐ€์ง€๋กœ ์ฝ”์–ด ๋ฐ ์†Œ์ผ“์˜ ๋‹ค์ค‘ ์Šค๋ ˆ๋”ฉ์€ ์˜ค๋ฒ„ํ—ค๋“œ๋ฅผ ๋ฐœ์ƒ์‹œํ‚ค๋ฏ€๋กœ ์ž‘์€ ๋ฌธ์ œ์˜ ํ•ด์„์ผ ๊ฒฝ์šฐ ์‚ฌ์šฉ๋˜๋Š” ์ฝ”์–ด ์ˆ˜๋ฅผ ์ œํ•œํ•˜๋ฉด ์„ฑ๋Šฅ์ด ํ–ฅ์ƒ๋  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

CPU ์•„ํ‚คํ…์ฒ˜

CPU ์•„ํ‚คํ…์ฒ˜๋Š” ์ค‘์š”ํ•ฉ๋‹ˆ๋‹ค. ์ตœ์‹  CPU๋Š” ์ผ๋ฐ˜์ ์œผ๋กœ ์‚ฌ์ดํด๋‹น ๋” ๋งŽ์€ ๊ธฐ๋Šฅ์„ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค. ์ฆ‰, ํ˜„์žฌ ์„ธ๋Œ€์˜ CPU๋Š” ์ผ๋ฐ˜์ ์œผ๋กœ ๋™์ผํ•œ ํด๋Ÿญ ์†๋„์—์„œ ์ด์ „ CPU๋ณด๋‹ค ์„ฑ๋Šฅ์ด ์šฐ์ˆ˜ํ•ฉ๋‹ˆ๋‹ค. ๋˜ํ•œ ์ „๋ ฅ ํšจ์œจ์ด ๋†’์•„์ ธ ์™€ํŠธ๋‹น ์„ฑ๋Šฅ์ด ํ–ฅ์ƒ๋  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. Flow Science์—๋Š” ๊ตฌํ˜• ๋ฉ€ํ‹ฐ ์†Œ์ผ“ 12, 16, 24 ์ฝ”์–ด Xeon๋ณด๋‹ค ์„ฑ๋Šฅ์ด ๋›ฐ์–ด๋‚œ ์ตœ๊ทผ ์„ธ๋Œ€ 10~12 Core i9 CPU ์‹œ์Šคํ…œ์„ ๋ณด์œ ํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.

์˜ค๋ฒ„ํด๋Ÿญ

ํ•ด์„์šฉ ์žฅ๋น„์—์„œ๋Š” CPU๋ฅผ ์˜ค๋ฒ„ํด๋Ÿญ ํ•˜์ง€ ์•Š๋Š” ๊ฒƒ์ด ์ข‹์Šต๋‹ˆ๋‹ค. ํ•˜๋“œ์›จ์–ด๋ฅผ ๋‹ค๋…„๊ฐ„์˜ ํˆฌ์ž๋ผ๊ณ  ์ƒ๊ฐํ•œ๋‹ค๋ฉด, ์˜ค๋ฒ„ํด๋Ÿญํ™”๋Š” ๋ฐœ์—ด์„ ์ฆ๊ฐ€์‹œ์ผœ ์ˆ˜๋ช…์„ ๋‹จ์ถ•์‹œํ‚ต๋‹ˆ๋‹ค. CPU์— ๋”ฐ๋ผ ์•ˆ์ •์„ฑ๋„ ์ €ํ•˜๋  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. CPU๋ฅผ ์˜ค๋ฒ„ํด๋Ÿญ ํ•  ๋•Œ๋Š” ์„ธ์‹ฌํ•œ ์—ด ๊ด€๋ฆฌ๊ฐ€ ๊ถŒ์žฅ๋ฉ๋‹ˆ๋‹ค.

ํ•˜์ดํผ์Šค๋ ˆ๋”ฉ

<์ด๋ฏธ์ง€์ถœ์ฒ˜:https://gameabout.com/krum3/4586040>

ํ•˜์ดํผ์Šค๋ ˆ๋”ฉ์€ ๋ฌผ๋ฆฌ์ ์œผ๋กœ 1๊ฐœ์˜ CPU๋ฅผ ๊ฐ€์ƒ์œผ๋กœ 2๊ฐœ์˜ CPU์ฒ˜๋Ÿผ ์ž‘๋™ํ•˜๊ฒŒ ํ•˜๋Š” ๊ธฐ์ˆ ๋กœ ํŒŒ์ดํ”„๋ผ์ธ์˜ ๋‹จ๊ณ„์ˆ˜๊ฐ€ ๋งŽ๊ณ  ๊ฐ ๋‹จ๊ณ„์˜ ๊ธธ์ด๊ฐ€ ์งง์„๋•Œ ์œ ๋ฆฌํ•ฉ๋‹ˆ๋‹ค. ๋‹ค๋งŒ ์ˆ˜์น˜ํ•ด์„ ์ฒ˜๋Ÿผ ๋ชจ๋“  ์ฝ”์–ด์˜ CPU๋ฅผ 100% ์‚ฌ์šฉ์ค‘์ธ ์žฅ์‹œ๊ฐ„ ์ˆ˜ํ–‰ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์€ ์ผ๋ฐ˜์ ์œผ๋กœ Hyper Threading์ด ๋น„ํ™œ์„ฑํ™” ๋œ ์ƒํƒœ์—์„œ ๋” ์ž˜ ์ˆ˜ํ–‰๋ฉ๋‹ˆ๋‹ค. FLOW-3D๋Š” 100% CPU ์‚ฌ์šฉ๋ฅ ์ด ์ผ๋ฐ˜์ ์ด๋ฏ€๋กœ ์ƒˆ ํ•˜๋“œ์›จ์–ด๋ฅผ ๊ตฌ์„ฑํ•  ๋•Œ Hyper Threading์„ ๋น„ํ™œ์„ฑํ™”ํ•˜๋Š” ๊ฒƒ์ด ์ข‹์Šต๋‹ˆ๋‹ค. ์„ค์ •์€ ์‹œ์Šคํ…œ์˜ BIOS ์„ค์ •์—์„œ ์ˆ˜ํ–‰ํ•ฉ๋‹ˆ๋‹ค.

๋ช‡ ๊ฐ€์ง€ ์›Œํฌ๋กœ๋“œ์˜ ๊ฒฝ์šฐ์—๋Š” Hyper Threading์„ ์‚ฌ์šฉํ•˜์—ฌ ์•ฝ๊ฐ„ ๋” ๋‚˜์€ ์„ฑ๋Šฅ์„ ๋ณด์ด๋Š” ๊ฒฝ์šฐ๊ฐ€ ์žˆ์Šต๋‹ˆ๋‹ค. ๋”ฐ๋ผ์„œ, ์ตœ์ƒ์˜ ๋Ÿฐํƒ€์ž„์„ ์œ„ํ•ด์„œ๋Š” ๋‘ ๊ฐ€์ง€ ๊ตฌ์„ฑ์ค‘์—์„œ ์–ด๋А ๊ตฌ์„ฑ์ด ๋” ์ ํ•ฉํ•œ์ง€ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ์œ ํ˜•์„ ํ…Œ์ŠคํŠธํ•˜๋Š” ๊ฒƒ์ด ์ข‹์Šต๋‹ˆ๋‹ค.

์Šค์ผ€์ผ๋ง

์—ฌ๋Ÿฌ ์ฝ”์–ด๋ฅผ ์‚ฌ์šฉํ•  ๋•Œ ์„ฑ๋Šฅ์€ ์„ ํ˜•์ ์ด์ง€ ์•Š์Šต๋‹ˆ๋‹ค. ์˜ˆ๋ฅผ ๋“ค์–ด 12 ์ฝ”์–ด CPU์—์„œ 24 ์ฝ”์–ด CPU๋กœ ์—…๊ทธ๋ ˆ์ด๋“œํ•ด๋„ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๋Ÿฐํƒ€์ž„์ด ์ ˆ๋ฐ˜์œผ๋กœ ์ค„์–ด๋“ค์ง€ ์•Š์Šต๋‹ˆ๋‹ค. ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ์œ ํ˜•์— ๋”ฐ๋ผ 16~32๊ฐœ ์ด์ƒ์˜ CPU ์ฝ”์–ด๋ฅผ ์„ ํƒํ•  ๋•Œ๋Š” FLOW-3D ๋ฐ FLOW-3D CAST์˜ HPC ๋ฒ„์ „์„ ์‚ฌ์šฉํ•˜๊ฑฐ๋‚˜ FLOW-3D CLOUD๋กœ ์ด๋™ํ•˜๋Š” ๊ฒƒ์„ ๊ณ ๋ คํ•˜์—ฌ์•ผ ํ•ฉ๋‹ˆ๋‹ค.

AMD Ryzen ๋˜๋Š” Epyc CPU

AMD๋Š” ์ผ๋ถ€ CPU๋กœ ๋ฒค์น˜๋งˆํฌ ์ฐจํŠธ๋ฅผ ์„๊ถŒํ•˜๊ณ  ์žˆ์œผ๋ฉฐ ๊ทธ ๊ฐ€๊ฒฉ์€ ๋งค์šฐ ๊ฒฝ์Ÿ๋ ฅ์ด ์žˆ์Šต๋‹ˆ๋‹ค. FLOW SCIENCE, INC. ์—์„œ๋Š” ์†Œ์ˆ˜์˜ AMD CPU๋กœ FLOW-3D๋ฅผ ํ…Œ์ŠคํŠธํ–ˆ์Šต๋‹ˆ๋‹ค. ํ˜„์žฌ Epyc CPU๋Š” ์ด์ƒ์ ์ด์ง€ ์•Š๊ณ  Ryzen์€ ์„ฑ๋Šฅ์ด ์ƒ๋‹นํžˆ ์šฐ์ˆ˜ํ•ฉ๋‹ˆ๋‹ค. ๋ฐœ์—ด์€ ์—ฌ์ „ํžˆ ์‹ ์ค‘ํ•˜๊ฒŒ ๋‹ค๋ค„์ ธ์•ผ ํ•  ๋ฌธ์ œ์ž…๋‹ˆ๋‹ค.

<๊ด€๋ จ ๊ธฐ์‚ฌ>

https://www.techspot.com/news/78122-report-software-fix-can-double-threadripper-2990wx-performance.html

Graphics ๊ณ ๋ ค ์‚ฌํ•ญ

FLOW-3D๋Š” OpenGL ๋“œ๋ผ์ด๋ฒ„๊ฐ€ ๋งŒ์กฑ์Šค๋Ÿฝ๊ฒŒ ์ˆ˜ํ–‰๋˜๋Š” ์ตœ์‹  ๊ทธ๋ž˜ํ”ฝ ์นด๋“œ๊ฐ€ ํ•„์š”ํ•ฉ๋‹ˆ๋‹ค. ์ตœ์†Œํ•œ OpenGL 3.0์„ ์ง€์›ํ•˜๋Š” ๊ฒƒ์ด ์ข‹์Šต๋‹ˆ๋‹ค. ๊ถŒ์žฅ ์˜ต์…˜์€ ์—”๋น„๋””์•„์˜ ์ฟผ๋“œ๋กœ K ์‹œ๋ฆฌ์ฆˆ์™€ AMD์˜ ํŒŒ์ด์–ด ํ”„๋กœ W ์‹œ๋ฆฌ์ฆˆ์ž…๋‹ˆ๋‹ค.

ํŠนํžˆ ์—”๋น„๋””์•„ ์ฟผ๋“œ๋กœ(NVIDIA Quadro)๋Š” ์—”๋น„๋””์•„๊ฐ€ ๊ฐœ๋ฐœํ•œ ์ „๋ฌธ๊ฐ€ ์šฉ๋„(์›Œํฌ์Šคํ…Œ์ด์…˜)์˜ ๊ทธ๋ž˜ํ”ฝ ์นด๋“œ์ž…๋‹ˆ๋‹ค. ์ผ๋ฐ˜์ ์œผ๋กœ ์ง€ํฌ์Šค ๊ทธ๋ž˜ํ”ฝ ์นด๋“œ๊ฐ€ ๊ฒŒ์ด๋ฐ์— ์ดˆ์ ์ด ๋งž์ถฐ์ ธ ์žˆ์ง€๋งŒ, ์ฟผ๋“œ๋กœ๋Š” ๋‹ค์–‘ํ•œ ์‚ฐ์—… ๋ถ„์•ผ์˜ ์ „๋ฌธ๊ฐ€๊ฐ€ ํ•„์š”๋กœ ํ•˜๋Š” ์˜์—ญ์— ๊ด‘๋ฒ”์œ„ํ•œ ์šฉ๋„๋กœ ์‚ฌ์šฉ๋˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์ฃผ๋กœ ์‚ฐ์—…๊ณ„์˜ ๊ทธ๋ž˜ํ”ฝ ๋””์ž์ธ ๋ถ„์•ผ, ์˜์ƒ ์ฝ˜ํ…์ธ  ์ œ์ž‘ ๋ถ„์•ผ, ์—”์ง€๋‹ˆ์–ด๋ง ์„ค๊ณ„ ๋ถ„์•ผ, ๊ณผํ•™ ๋ถ„์•ผ, ์˜๋ฃŒ ๋ถ„์„ ๋ถ„์•ผ ๋“ฑ์˜ ์ „๋ฌธ๊ฐ€ ์ž‘์—…์šฉ์œผ๋กœ ์‚ฌ์šฉ๋˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ๋”ฐ๋ผ์„œ ์ผ๋ฐ˜์ ์ธ ์†Œ๋น„์ž๋ฅผ ๋Œ€์ƒ์œผ๋กœ ํ•˜๋Š” ์ง€ํฌ์Šค ๊ทธ๋ž˜ํ”ฝ ์นด๋“œ์™€๋Š” ๋‹ค๋ฅด๊ณ„ ์‚ฐ์—…๊ณ„์— ํฌ์ปค์Šค ๋˜์–ด ์žˆ์œผ๋ฉฐ ๊ฐ€๊ฒฉ์ด ๋งค์šฐ ๋น„์‹ธ์„œ ๋„์ž…์‹œ ์˜ˆ์‚ฐ์„ ๊ณ ๋ คํ•ด์•ผ ํ•ฉ๋‹ˆ๋‹ค.

์œ ์˜ํ•  ์ ์€ ์—”๋น„๋””์•„์˜ GTX ๊ฒŒ์ด๋ฐ ํ•˜๋“œ์›จ์–ด๋Š” ๋ณผ๋ฅจ ๋ Œ๋”๋ง์˜ ์†๋„๊ฐ€ ๋А๋ฆฌ๊ฑฐ๋‚˜ ์˜ค๋™์ž‘ ๋“ฑ ๋ช‡ ๊ฐ€์ง€ ์ œํ•œ ์‚ฌํ•ญ์ด ์žˆ์Šต๋‹ˆ๋‹ค. ์ผ๋ฐ˜์ ์œผ๋กœ ๋…ธํŠธ๋ถ์— ๋‚ด์žฅ๋œ ํ†ตํ•ฉ ๊ทธ๋ž˜ํ”ฝ ์นด๋“œ๋ณด๋‹ค๋Š” ๊ฐœ๋ณ„ ๊ทธ๋ž˜ํ”ฝ ์นด๋“œ๋ฅผ ๊ฐ•๋ ฅํ•˜๊ฒŒ ์ถ”์ฒœํ•ฉ๋‹ˆ๋‹ค. ์ตœ์†Œํ•œ ๊ทธ๋ž˜ํ”ฝ ๋ฉ”๋ชจ๋ฆฌ๋Š” 512MB ์ด์ƒ์„ ๊ถŒ์žฅํ•ฉ๋‹ˆ๋‹ค.

์ถœ์ฒ˜ : https://www.videocardbenchmark.net/high_end_gpus.html

์›๊ฒฉ๋ฐ์Šคํฌํƒ‘ ์‚ฌ์šฉ์‹œ ๊ณ ๋ ค ์‚ฌํ•ญ

Flow Science๋Š” nVidia ๋“œ๋ผ์ด๋ฒ„ ๋ฒ„์ „์ด 341.05 ์ด์ƒ์ธ nVidia Quadro K, M ๋˜๋Š” P ์‹œ๋ฆฌ์ฆˆ ๊ทธ๋ž˜ํ”ฝ ํ•˜๋“œ์›จ์–ด๋ฅผ ๊ถŒ์žฅํ•ฉ๋‹ˆ๋‹ค. ์ด ์นด๋“œ์™€ ๋“œ๋ผ์ด๋ฒ„ ์กฐํ•ฉ์„ ์‚ฌ์šฉํ•˜๋ฉด ์›๊ฒฉ ๋ฐ์Šคํฌํ†ฑ ์—ฐ๊ฒฐ์ด ์™„์ „ํ•œ 3D ๊ฐ€์† ๊ธฐ๋Šฅ์„ ๊ฐ–์ถ˜ ๊ธฐ๋ณธ ํ•˜๋“œ์›จ์–ด์—์„œ ์ž๋™์œผ๋กœ ์‹คํ–‰๋ฉ๋‹ˆ๋‹ค.

์›๊ฒฉ ๋ฐ์Šคํฌํ†ฑ ์„ธ์…˜์— ์—ฐ๊ฒฐํ•  ๋•Œ nVidia Quadro ๊ทธ๋ž˜ํ”ฝ ์นด๋“œ๊ฐ€ ์„ค์น˜๋˜์–ด ์žˆ์ง€ ์•Š์œผ๋ฉด Windows๋Š” ์†Œํ”„ํŠธ์›จ์–ด ๋ Œ๋”๋ง์„ ์‚ฌ์šฉํ•ฉ๋‹ˆ๋‹ค. FLOW-3D ๊ฐ€ ์†Œํ”„ํŠธ์›จ์–ด ๋ Œ๋”๋ง์„ ์‚ฌ์šฉํ•˜๊ณ  ์žˆ๋Š”์ง€ ํ™•์ธํ•˜๋ ค๋ฉด FLOW-3D ๋„์›€๋ง ๋ฉ”๋‰ด์—์„œ ์ •๋ณด๋ฅผ ์„ ํƒํ•˜์‹ญ์‹œ์˜ค. GDI Generic์„ ์†Œํ”„ํŠธ์›จ์–ด ๋ Œ๋”๋ง์œผ๋กœ ์‚ฌ์šฉํ•˜๋Š” ๊ฒฝ์šฐ GL_RENDERER ํ•ญ๋ชฉ์— ํ‘œ์‹œ๋ฉ๋‹ˆ๋‹ค.

ํ•˜๋“œ์›จ์–ด ๋ Œ๋”๋ง์„ ํ™œ์„ฑํ™”ํ•˜๋Š” ๋ช‡ ๊ฐ€์ง€ ์˜ต์…˜์ด ์žˆ์Šต๋‹ˆ๋‹ค. ์‰ฌ์šด ๋ฐฉ๋ฒ• ์ค‘ ํ•˜๋‚˜๋Š” ์‹ค์ œ ์ฝ˜์†”์—์„œ FLOW-3D๋ฅผ ์‹œ์ž‘ํ•œ ๋‹ค์Œ ์›๊ฒฉ ๋ฐ์Šคํฌํ†ฑ ์„ธ์…˜์„ ์—ฐ๊ฒฐํ•˜๋Š” ๊ฒƒ์ž…๋‹ˆ๋‹ค. Nice Software DCV ์™€ ๊ฐ™์€ ์ผ๋ถ€ VNC ์†Œํ”„ํŠธ์›จ์–ด๋Š” ๊ธฐ๋ณธ์ ์œผ๋กœ ํ•˜๋“œ์›จ์–ด ๋ Œ๋”๋ง์„ ์‚ฌ์šฉํ•ฉ๋‹ˆ๋‹ค.

RAM ๊ณ ๋ ค ์‚ฌํ•ญ

ํ”„๋กœ์„ธ์„œ ์ฝ”์–ด๋‹น ์ตœ์†Œ 4GB์˜ RAM์€ FLOW-3D์˜ ์ข‹์€ ์ถœ๋ฐœ์ž…๋‹ˆ๋‹ค. POST Processor๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ํ›„์ฒ˜๋ฆฌ ์ž‘์—…์„ ํ•  ๊ฒฝ์šฐ ์ถฉ๋ถ„ํ•œ ์–‘์˜ RAM์„ ์‚ฌ์šฉํ•˜๋Š” ๊ฒƒ์ด ์ข‹์Šต๋‹ˆ๋‹ค.

DDR5 ๋žจ์˜ ๊ณต์‹ ๊ทœ๊ฒฉ์€ 2020๋…„ 7์›” 14์ผ์— ๋ฐœํ‘œ๋˜์—ˆ์Šต๋‹ˆ๋‹ค. ํ•˜์ง€๋งŒ ์ผ๋ฐ˜ ์†Œ๋น„์ž๋ฅผ ๋Œ€์ƒ์œผ๋กœ ํ•œ ์ œํ’ˆ์€ ์ธํ…” 12์„ธ๋Œ€ CPU(Alder Lake)์™€ ํ•จ๊ป˜ 2021๋…„ ํ•˜๋ฐ˜๊ธฐ๋ถ€ํ„ฐ ๋ณธ๊ฒฉ์ ์œผ๋กœ ์ถœ์‹œ๋˜๊ธฐ ์‹œ์ž‘ํ–ˆ์Šต๋‹ˆ๋‹ค.

์ผ๋ฐ˜์ ์œผ๋กœ FLOW-3D๋ฅผ ์ด์šฉํ•˜์—ฌ ํ•ด์„์„ ํ•  ๊ฒฝ์šฐ ๊ฒฉ์ž(Mesh)์ˆ˜์— ๋”ฐ๋ผ ์†Œ์š”๋˜๋Š” ์ ์ • ๋ฉ”๋ชจ๋ฆฌ ํฌ๊ธฐ๋Š” ์•„๋ž˜์™€ ๊ฐ™์Šต๋‹ˆ๋‹ค.ํŽ˜์ด์ง€ ๋ณด๊ธฐ

  • ์ดˆ๋Œ€ํ˜• (2์–ต๊ฐœ ์ด์ƒ์˜ ์…€) : ์ตœ์†Œ 128GB
  • ๋Œ€ํ˜• (60 ~ 1์–ต 5์ฒœ๋งŒ ์…€) : 64 ~ 128GB
  • ์ค‘๊ฐ„ (30-60๋ฐฑ๋งŒ ์…€) : 32-64GB
  • ์ž‘์Œ (3 ์ฒœ๋งŒ ์…€ ์ดํ•˜) : ์ตœ์†Œ 32GB

HDD ๊ณ ๋ ค ์‚ฌํ•ญ

์ˆ˜์น˜ํ•ด์„์€ ํ•ด์„๊ฒฐ๊ณผ ํŒŒ์ผ์˜ ๋ฐ์ดํ„ฐ ์–‘์ด ๋งค์šฐ ํฌ๊ธฐ ๋•Œ๋ฌธ์— ์ฝ๊ณ  ์“ฐ๋Š”๋ฐ, ์†๋„๋ฉด์—์„œ ๋งค์šฐ ๋น ๋ฅธ SSD๋ฅผ ์ ์šฉํ•˜๋ฉด ์„ฑ๋Šฅ๋ฉด์—์„œ ํฐ ๋„์›€์ด ๋ฉ๋‹ˆ๋‹ค. ๋‹ค๋งŒ SSD ๊ฐ€๊ฒฉ์ด ๋น„์‹ธ์„œ ๊ฐ€์„ฑ๋น„ ์ธก๋ฉด์„ ๊ณ ๋ คํ•˜์—ฌ ์ ์ •์ˆ˜์ค€์—์„œ ๊ฒฐ์ •์ด ํ•„์š”ํ•ฉ๋‹ˆ๋‹ค.

CPU์™€ ์ €์žฅ์žฅ์น˜ ๊ฐ„ ๋ฐ์ดํ„ฐ๊ฐ€ ์˜ค๊ณ  ๊ฐ€๋Š” ํ†ต๋กœ๊ฐ€ ๊ทธ๋ฆผ๊ณผ ๊ฐ™์ด 3๊ฐ€์ง€ ๋ฐฉ์‹์ด ์žˆ์Šต๋‹ˆ๋‹ค. ์ด๋ฅผ ์ธํ„ฐํŽ˜์ด์Šค๋ผ ๋ถ€๋ฅด๋ฉฐ SSD๋Š” ํ”ํžˆ PCI-Express ์™€ SATA ํ†ต๋กœ๋ฅผ ์ด์šฉํ•ฉ๋‹ˆ๋‹ค.

ํ”ํžˆ ๋งํ•˜๋Š” NVMe๋Š” PCI-Express3.0 ์ง€์› SSD์˜ ๊ฒฝ์šฐ SSD์— ์ตœ์ ํ™”๋œ NVMe (NonVolatile Memory Express) ์ „์†ก ํ”„๋กœํ† ์ฝœ์„ ์‚ฌ์šฉํ•ฉ๋‹ˆ๋‹ค. ์ฃผ์˜ํ•  ์ ์€ MVMe์ค‘์—์„œ SATA3 ๋ฐฉ์‹๋„ ์žˆ๊ธฐ ๋•Œ๋ฌธ์— ์ž˜ ๊ตฌ๋ณ„ํ•˜์—ฌ ๊ตฌ์ž…ํ•˜์‹œ๊ธฐ ๋ฐ”๋ž๋‹ˆ๋‹ค.

๊ทธ๋ฆฌ๊ณ  SSD๋ฅผ ์„ ํƒํ•  ๊ฒฝ์šฐ์—๋„ SSD ์ข…๋ฅ˜ ์ค‘์—์„œ PCI Express ํƒ€์ž…์€ ๋งค์šฐ ๋น ๋ฅด๊ณ  ๊ฐ€๊ฒฉ์ด ๊ณ ๊ฐ€์˜€์ง€๋งŒ ์ตœ๊ทผ์—๋Š” ๋งŽ์ด ์ €๋ ดํ•ด์กŒ์Šต๋‹ˆ๋‹ค. ๋”ฐ๋ผ์„œ ์˜ˆ์‚ฐ ๋ฒ”์œ„๋‚ด์—์„œ NVMe SSD๋“ฑ ๊ฐ€์žฅ ํšจ๊ณผ์ ์ธ ์„ ํƒ์„ ํ•˜๋Š” ๊ฒƒ์ด ์ข‹์Šต๋‹ˆ๋‹ค.
( ์ฐธ๊ณ  : ํ•ด์„์šฉ ์ปดํ“จํ„ฐ SSD ๊ณ ๋ฅด๊ธฐ ์ฐธ์กฐ )

๊ธฐ์กด์˜ ๋ฌผ๋ฆฌ์ ์ธ ํ•˜๋“œ ๋””์Šคํฌ์˜ ๊ฒฝ์šฐ, ๋””์Šคํฌ์— ๊ธฐ๋ก๋œ ๋ฐ์ดํ„ฐ๋ฅผ ์ฝ๊ธฐ ์œ„ํ•ด์„œ๋Š” ๋ฐ์ดํ„ฐ๋ฅผ ์ฝ์–ด๋‚ด๋Š” ํ—ค๋“œ(๋ฐ”๋Š˜)๊ฐ€ ๋ฌผ๋ฆฌ์ ์œผ๋กœ ๋ฐ์ดํ„ฐ๊ฐ€ ๊ธฐ๋ก๋œ ์œ„์น˜๊นŒ์ง€ ์ด๋™ํ•ด์•ผ ํ•˜๋ฏ€๋กœ ์ด๋™์— ์ผ์ •ํ•œ ์‹œ๊ฐ„์ด ์†Œ์š”๋ฉ๋‹ˆ๋‹ค. (์ด๋Ÿฌํ•œ ์‹œ๊ฐ„์„ ์ง€์—ฐ์‹œ๊ฐ„, ํ˜น์€ ๋ ˆ์ดํ„ด์‹œ ๋“ฑ์œผ๋กœ ๋ถ€๋ฆ„) ๋”ฐ๋ผ์„œ ํ•˜๋“œ ๋””์Šคํฌ์˜ ๊ฒฝ์šฐ ๋ฐ์ดํ„ฐ๋ฅผ ์ฝ๊ธฐ ์œ„ํ•œ ์š”์ฒญ์ด ์ฃผ์–ด์ง„ ๋’ค์— ๋ฐ์ดํ„ฐ๋ฅผ ์‹ค์ œ๋กœ ์ฝ๊ธฐ๊นŒ์ง€ ์ผ์ •ํ•œ ์‹œ๊ฐ„์ด ์†Œ์š”๋˜๋Š”๋ฐ, ์ด ์‹œ๊ฐ„์„ ์ผ์ •ํ•œ ํ•œ๊ณ„(์•ฝ 10ms)์ดํ•˜๋กœ ์ค„์ด๋Š” ๊ฒƒ์ด ๋ถˆ๊ฐ€๋Šฅ์— ๊ฐ€๊นŒ์šฐ๋ฉฐ, ๋ฐ์ดํ„ฐ๊ฐ€ ํ”Œ๋ž˜ํ„ฐ์— ์‹ค์ œ ๊ธฐ๋ก๋œ ์œ„์น˜์— ๋”ฐ๋ผ์„œ ์ด๋Ÿฌํ•œ ๋ฐ์ดํ„ฐ์—์˜ ์ ‘๊ทผ์‹œ๊ฐ„ ์—ญ์‹œ ์ฐจ์ด๊ฐ€ ๋‚˜๊ฒŒ ๋ฉ๋‹ˆ๋‹ค.

ํ•˜์ง€๋งŒ HDD์˜ ์ตœ๋Œ€ ๊ฐ•์ ์€ ๊ฐ€๊ฒฉ๋Œ€๋น„ ์šฉ๋Ÿ‰์ž…๋‹ˆ๋‹ค. ํ˜„์žฌ ์ƒ์šฉํ™”๋˜์–ด ํŒ๋งคํ•˜๋Š” ๋Œ€์šฉ๋Ÿ‰ HDD๋Š” 12TB ~ 15TB๊ฐ€ ๊ณต๊ธ‰๋˜๊ณ  ์žˆ์œผ๋ฉฐ, ์ด๋Š” ๋ฐ์ดํ„ฐ ์ €์žฅ์ด๋‚˜ ๋ฐฑ์—…์šฉ์œผ๋กœ ๊ฐ€์žฅ ์ข‹์€ ์„ ํƒ์ด ๋ฉ๋‹ˆ๋‹ค.
๊ฒฐ๋ก ์ ์œผ๋กœ ๋ฐ์ดํ„ฐ๋ฅผ ์ง์ ‘ ์ฝ๊ณ  ์“ฐ๋Š” ๋“œ๋ผ์ด๋ธŒ๋Š” SSD๋ฅผ ์‚ฌ์šฉํ•˜๊ณ  ๋ณด๊ด€ํ•˜๋Š” ์šฉ๋„์˜ ๋“œ๋ผ์ด๋ธŒ๋Š” ๊ธฐ์กด์˜ HDD๋ฅผ ์‚ฌ์šฉํ•˜๋Š” ๋ฐฉ๋ฒ•์ด ํšจ๊ณผ์ ์ธ ์„ ํƒ์ด ๋  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

PassMark – Disk Rating High End Drives

์ถœ์ฒ˜ : https://www.harddrivebenchmark.net/high_end_drives.html

์ƒ๊ธฐ ๋ฒค์น˜๋งˆํฌ ํ…Œ์ŠคํŠธ๋Š” ํ…Œ์ŠคํŠธ ์กฐ๊ฑด์— ๋”ฐ๋ผ ๊ทธ ์„ฑ๋Šฅ ๊ณก์„ ์ด ๋‹ฌ๋ผ์งˆ ์ˆ˜ ์žˆ๊ธฐ ๋•Œ๋ฌธ์— ์กฐ๊ฑด์„ ํ™•์ธํ•  ํ•„์š”๊ฐ€ ์žˆ์Šต๋‹ˆ๋‹ค. ์˜ˆ๋ฅผ ๋“ค์–ด Windows7, windows8, windows10 , windows11 ๋ชจ๋‘์—์„œ ํ…Œ์ŠคํŠธํ•œ ๊ฒฐ๊ณผ๋ฅผ ํ‰๊ท ํ•œ ์ ์ˆ˜์™€ ์ž์‹ ์ด ์‚ฌ์šฉํ•  ์ปดํ“จํ„ฐ O/S์—์„œ ํ…Œ์ŠคํŠธํ•œ ๊ฒฐ๊ณผ๋Š” ๋‹ค๋ฅผ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์ƒ๊ธฐ ๊ฒฐ๊ณผ์— ๋Œ€ํ•œ ํ…Œ์ŠคํŠธ ํ™˜๊ฒฝ์— ๋Œ€ํ•œ ๋‚ด์šฉ์€ ์•„๋ž˜ ์‚ฌ์ดํŠธ๋ฅผ ์ฐธ๊ณ ํ•˜์‹œ๊ธฐ ๋ฐ”๋ž๋‹ˆ๋‹ค.

์ฐธ๊ณ  : ํ…Œ์ŠคํŠธ ํ™˜๊ฒฝ

ํŽ˜์ด์ง€ ๋ณด๊ธฐ

FLOW-3D ๊ต์œก์‚ฌ๋ก€

๊ณ ๊ฐ ๋งž์ถคํ˜• ๊ต์œก

Education Customer List

์˜ค์‹œ๋Š” ๊ธธ
Figure 4.24 - Model with virtual valves in the extremities of the geometries to simulate the permeability of the mold promoting a more uniformed filling

Optimization of filling systems for low pressure by Flow-3D

Dissertaรงรฃo de Mestrado
Ciclo de Estudos Integrados Conducentes ao
Grau de Mestre em Engenharia Mecรขnica
Trabalho efectuado sob a orientaรงรฃo do
Doutor Hรฉlder de Jesus Fernades Puga
Professor Doutor Josรฉ Joaquim Carneiro Barbosa

ABSTRACT

๋…ผ๋ฌธ์˜ ์ผ๋ถ€๋กœ ํŠœํ„ฐ ์„ ํƒ ๊ฐ€๋Šฅ์„ฑ๊ณผ ํ•ด๊ฒฐํ•ด์•ผ ํ•  ์ฃผ์ œ๊ฐ€ ์„ค์ •๋˜๋Š” ๋งค๊ฐœ๋ณ€์ˆ˜๋ฅผ ์—ผ๋‘์— ๋‘๊ณ  ๊ฐœ๋ฐœ ์ฃผ์ œ ‘Flow- 3D ยฎ์— ์˜ํ•œ ์ €์•• ์ถฉ์ „ ์‹œ์Šคํ…œ ์ตœ์ ํ™”’๊ฐ€ ์„ ํƒ๋˜์—ˆ์Šต๋‹ˆ๋‹ค. ์ด๋ฅผ ์œ„ํ•ด์„œ๋Š” ๋‹ฌ์„ฑํ•ด์•ผ ํ•  ๋ชฉํ‘œ์™€ ์ด๋ฅผ ๋‹ฌ์„ฑํ•˜๊ธฐ ์œ„ํ•œ ๋ฐฉ๋ฒ•์„ ์ •์˜ํ•˜๋Š” ๊ฒƒ์ด ํ•„์š”ํ–ˆ์Šต๋‹ˆ๋‹ค.

์ถฉ์ „ ์‹œ์Šคํ…œ์„ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ํ•˜๊ณ  ๊ฒ€์ฆํ•  ์ˆ˜ ์žˆ๋Š” ๊ด‘๋ฒ”์œ„ํ•œ ์†Œํ”„ํŠธ์›จ์–ด์—๋„ ๋ถˆ๊ตฌํ•˜๊ณ  Flow-3Dยฎ๋Š” ์‹œ์žฅ์—์„œ ์ตœ๊ณ ์˜ ๋„๊ตฌ ์ค‘ ํ•˜๋‚˜๋กœ ํ‘œ์‹œ๋˜์–ด ์ „์ฒด ์ถฉ์ „ ํ”„๋กœ์„ธ์Šค ๋ฐ ํ–‰๋™ ํ‘œํ˜„๊ณผ ๊ด€๋ จํ•˜์—ฌ ํƒ์›”ํ•œ ์ •ํ™•๋„๋กœ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ํ•˜๋Š” ๋Šฅ๋ ฅ์„ ์ž…์ฆํ–ˆ์Šต๋‹ˆ๋‹ค.

์ด๋ฅผ ์œ„ํ•ด ๊ด€๋ จ ํ”„๋กœ์„ธ์Šค๋ฅผ ๋” ์ž˜ ์ดํ•ดํ•˜๊ณ  ์ถฉ์ง„ ์‹œ์Šคํ…œ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ์œ„ํ•œ ํƒ์ƒ‰์  ๊ธฐ๋ฐ˜ ์—ญํ• ์„ ํ•˜๊ธฐ ์œ„ํ•ด ์ด ๋„๊ตฌ๋ฅผ ํƒ์ƒ‰ํ•˜๋Š” ๊ฒƒ์ด ์ค‘์š”ํ•ฉ๋‹ˆ๋‹ค. ์ง€์—ฐ ๋ฐ ์žฌ๋ฃŒ ๋‚ญ๋น„์— ๋ฐ˜์˜๋˜๋Š” ์‹ค์ œ์ ์ธ ์ธก๋ฉด์—์„œ ์ถฉ์ „ ์žฅ์น˜์˜ ์น˜์ˆ˜๋ฅผ ์™„๋ฒฝํ•˜๊ฒŒ ๋งŒ๋“œ๋Š” ๋น„์šฉ ๋ฐ ์‹œ๊ฐ„ ๋‚ญ๋น„. ์ด๋Ÿฌํ•œ ๋ฐฉ์‹์œผ๋กœ ์ €์•• ์ฃผ์กฐ ๊ณต์ •์—์„œ ์ถฉ์ง„ ์‹œ์Šคํ…œ์„ ์„ค๊ณ„ํ•˜๊ณ  ๋ฌผ๋ฆฌ์  ๋ชจ๋ธ์„ ํƒ์ƒ‰ํ•˜์—ฌ ํŠน์„ฑํ™”ํ•˜๋Š” ๋ฐฉ๋ฒ•๋ก ์„ ๊ฒ€์ฆํ•˜๊ธฐ ์œ„ํ•œ ๊ฒƒ์ž…๋‹ˆ๋‹ค.

์ด๋ฅผ ์œ„ํ•ด ๋‹ค์Œ ์ฃผ์š” ๋‹จ๊ณ„๋ฅผ ๊ณ ๋ คํ•˜์‹ญ์‹œ์˜ค.

์‹œ๋ฎฌ๋ ˆ์ด์…˜ ์†Œํ”„ํŠธ์›จ์–ด Flow 3Dยฎ ํƒ์ƒ‰;
์ถฉ์ „ ์‹œ์Šคํ…œ ๋ชจ๋ธ๋ง;
๋ชจ๋ธ์˜ ๋งค๊ฐœ๋ณ€์ˆ˜๋ฅผ ํƒ์ƒ‰ํ•˜์—ฌ ๋ชจ๋ธ๋ง๋œ ์‹œ์Šคํ…œ์˜ ์‹œ๋ฎฌ๋ ˆ์ด์…˜, ๊ฒ€์ฆ ๋ฐ ์ตœ์ ํ™”.

๋”ฐ๋ผ์„œ ์—ฐ๊ตฌ ์ค‘์ธ ์••๋ ฅ ๊ณก์„ ๊ณผ ์ฃผ์กฐ ๋ถ„์„์—์„œ ๊ฐ€์žฅ ๊ด€๋ จ์„ฑ์ด ๋†’์€ ์ •๋ณด์˜ ์ตœ์ข… ๋งˆ์ด๋‹์„ ๊ฒ€์ฆํ•˜๊ธฐ ์œ„ํ•œ ๊ฒƒ์ž…๋‹ˆ๋‹ค.

์‚ฌ์šฉ๋œ ์••๋ ฅ ๊ณก์„ ์€ ์ˆ˜์ง‘๋œ ๋ฌธํ—Œ๊ณผ ์ด์ „์— ์ˆ˜ํ–‰๋œ ์‹ค์ œ ์ž‘์—…์„ ํ†ตํ•ด ์–ป์—ˆ์Šต๋‹ˆ๋‹ค. ๊ฒฐ๊ณผ๋ฅผ ํ†ตํ•ด 3๋‹จ๊ณ„ ์••๋ ฅ ๊ณก์„ ์ด ์ธต๋ฅ˜ ์ถฉ์ง„ ์ฒด๊ณ„์˜ ์˜๋„๋œ ๋ชฉ์ ๊ณผ ๊ด€๋ จ ์†๋„๊ฐ€ 0.5 ๐‘š/๐‘ ๋ฅผ ์ดˆ๊ณผํ•˜์ง€ ์•Š๋Š”๋‹ค๋Š” ๊ฒฐ๋ก ์„ ๋‚ด๋ฆด ์ˆ˜ ์žˆ์—ˆ์Šต๋‹ˆ๋‹ค.

์ถฉ์ „ ์ˆ˜์ค€์ด 2์ธ ์••๋ ฅ ๊ณก์„ ์€ 0.5 ๐‘š/๐‘  ์ด์ƒ์˜ ์†๋„๋กœ ์˜์—ญ์„ ์ฑ„์šฐ๋Š” ๋” ๋‚œ๋ฅ˜ ์‹œ์Šคํ…œ์„ ๊ฐ–์Šต๋‹ˆ๋‹ค. ์—ด์ „๋‹ฌ ๋งค๊ฐœ๋ณ€์ˆ˜๋Š” ์ด์ „์— ์–ป์€ ๊ฐ’์ด ์ฃผ๋ฌผ์— ๋Œ€ํ•œ ์†Œ์‚ฐ ๊ฑฐ๋™์„ ํ™•์ฆํ•˜์ง€ ์•Š์•˜๊ธฐ ๋•Œ๋ฌธ์— ์—ฐ๊ตฌ๋˜์—ˆ์Šต๋‹ˆ๋‹ค.

์ด๋Ÿฌํ•œ ๋ฐฉ์‹์œผ๋กœ ์ฃผ์กฐ ๊ณต์ •์— ๋” ๋ถ€ํ•ฉํ•˜๋Š” ์ƒˆ๋กœ์šด ๊ฐ€์น˜๋ฅผ ์–ป์—ˆ์Šต๋‹ˆ๋‹ค. ๋‹ฌ์„ฑ๋œ ๊ฒฐ๊ณผ๋Š” ์œ ์‚ฌํ•œ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚œ NovaFlow & Solidยฎ์— ์˜ํ•ด ์ƒ์„ฑ๋œ ๊ฒฐ๊ณผ์™€ ๋น„๊ต๋˜์–ด ์‹œ๋ฎฌ๋ ˆ์ด์…˜์—์„œ ์„ค์ •๋œ ๋งค๊ฐœ๋ณ€์ˆ˜๋ฅผ ๊ฒ€์ฆํ–ˆ์Šต๋‹ˆ๋‹ค. Flow 3Dยฎ๋Š” ์ฃผ์กฐ ๋ถ€ํ’ˆ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ์œ„ํ•œ ๊ฐ•๋ ฅํ•œ ๋„๊ตฌ๋กœ ์ž…์ฆ๋˜์—ˆ์Šต๋‹ˆ๋‹ค.

As part of the dissertation and bearing in mind the parameters in which the possibility of a choice of tutor and the subject to be addressed is established, the subject for development โ€™Optimization of filling systems for low pressure by Flow 3D ยฎโ€™ was chosen. For this it was necessary to define the objectives to achieve and the methods to attain them. Despite the wide range of software able to simulate and validate filling systems, Flow 3Dยฎ has been shown as one of the best tools in the market, demonstrating its ability to simulate with distinctive accuracy with respect to the entire process of filling and the behavioral representation of the fluid obtained. To this end, it is important to explore this tool for a better understanding of the processes involved and to serve as an exploratory basis for the simulation of filling systems, simulation being one of the great strengths of the current industry due to the need to reduce costs and time waste, in practical terms, that lead to the perfecting of the dimensioning of filling devices, which are reflected in delays and wasted material. In this way it is intended to validate the methodology to design a filling system in lowpressure casting process, exploring their physical models and thus allowing for its characterization. For this, consider the following main phases: The exploration of the simulation software Flow 3Dยฎ; modeling of filling systems; simulation, validation and optimization of systems modeled by exploring the parameters of the models. Therefore, it is intended to validate the pressure curves under study and the eventual mining of the most relevant information in a casting analysis. The pressure curves that were used were obtained through the gathered literature and the practical work previously performed. Through the results it was possible to conclude that the pressure curve with 3 levels meets the intended purpose of a laminar filling regime and associated speeds never exceeding 0.5 ๐‘š/๐‘ . The pressure curve with 2 filling levels has a more turbulent system, having filling areas with velocities above 0.5 ๐‘š/๐‘ . The heat transfer parameter was studied due to the values previously obtained didnโ€™t corroborate the behavior of dissipation regarding to the casting. In this way, new values, more in tune with the casting process, were obtained. The achieved results were compared with those generated by NovaFlow & Solidยฎ, which were shown to be similar, validating the parameters established in the simulations. Flow 3Dยฎ was proven a powerful tool for the simulation of casting parts.

ํ‚ค์›Œ๋“œ

์ €์••, Flow 3Dยฎ, ์‹œ๋ฎฌ๋ ˆ์ด์…˜, ํŒŒ์šด๋“œ๋ฆฌ, ์••๋ ฅ-์‹œ๊ฐ„ ๊ด€๊ณ„,Low Pressure, Flow 3Dยฎ, Simulation, Foundry, Pressure-time relation

Figure 4.24 - Model with virtual valves in the extremities of the geometries to simulate the permeability of the mold promoting a more uniformed filling
Figure 4.24 – Model with virtual valves in the extremities of the geometries to simulate the permeability of the mold promoting a more uniformed filling
Figure 4.39 - Values of temperature contours using full energy heat transfer parameter for simula
Figure 4.39 – Values of temperature contours using full energy heat transfer parameter for simula
Figure 4.40 โ€“ Comparison between software simulations (a) Flow 3Dยฎ simulation,
(b) NovaFlow & Solidยฎ simulation
Figure 4.40 โ€“ Comparison between software simulations (a) Flow 3Dยฎ simulation, (b) NovaFlow & Solidยฎ simulation

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electromagnetic metal casting computation designs Fig1

A survey of electromagnetic metal casting computation designs, present approaches, future possibilities, and practical issues

The European Physical Journal Plus volume 136, Article number: 704 (2021) Cite this article

Abstract

Electromagnetic metal casting (EMC) is a casting technique that uses electromagnetic energy to heat metal powders. It is a faster, cleaner, and less time-consuming operation. Solid metals create issues in electromagnetics since they reflect the electromagnetic radiation rather than consume itโ€”electromagnetic energy processing results in sounded pieces with higher-ranking material properties and a more excellent microstructure solution. For the physical production of the electromagnetic casting process, knowledge of electromagnetic material interaction is critical. Even where the heated material is an excellent electromagnetic absorber, the total heating quality is sometimes insufficient. Numerical modelling works on finding the proper coupled effects between properties to bring out the most effective operation. The main parameters influencing the quality of output of the EMC process are: power dissipated per unit volume into the material, penetration depth of electromagnetics, complex magnetic permeability and complex dielectric permittivity. The contact mechanism and interference pattern also, in turn, determines the quality of the process. Only a few parameters, such as the environment’s temperature, the interference pattern, and the rate of metal solidification, can be controlled by AI models. Neural networks are used to achieve exact outcomes by stimulating the neurons in the human brain. Additive manufacturing (AM) is used to design mold and cores for metal casting. The models outperformed the traditional DFA optimization approach, which is susceptible to local minima. The system works only offline, so real-time analysis and corrections are not yet possible.

Korea Abstract

์ „์ž๊ธฐ ๊ธˆ์† ์ฃผ์กฐ (EMC)๋Š” ์ „์ž๊ธฐ ์—๋„ˆ์ง€๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ๊ธˆ์† ๋ถ„๋ง์„ ๊ฐ€์—ดํ•˜๋Š” ์ฃผ์กฐ ๊ธฐ์ˆ ์ž…๋‹ˆ๋‹ค. ๋” ๋น ๋ฅด๊ณ  ๊นจ๋—ํ•˜๋ฉฐ ์‹œ๊ฐ„์ด ๋œ ์†Œ์š”๋˜๋Š” ์ž‘์—…์ž…๋‹ˆ๋‹ค.

๊ณ ์ฒด ๊ธˆ์†์€ ์ „์ž๊ธฐ ๋ณต์‚ฌ๋ฅผ ์†Œ๋น„ํ•˜๋Š” ๋Œ€์‹  ๋ฐ˜์‚ฌํ•˜๊ธฐ ๋•Œ๋ฌธ์— ์ „์ž๊ธฐํ•™์—์„œ ๋ฌธ์ œ๋ฅผ ์ผ์œผํ‚ต๋‹ˆ๋‹ค. ์ „์ž๊ธฐ ์—๋„ˆ์ง€ ์ฒ˜๋ฆฌ๋Š” ๋” ๋†’์€ ๋“ฑ๊ธ‰์˜ ์žฌ๋ฃŒ ํŠน์„ฑ๊ณผ ๋” ์šฐ์ˆ˜ํ•œ ๋ฏธ์„ธ ๊ตฌ์กฐ ์†”๋ฃจ์…˜์„ ๊ฐ€์ง„ ์‚ฌ์šด๋“œ ์กฐ๊ฐ์„ ๋งŒ๋“ญ๋‹ˆ๋‹ค.

์ „์ž๊ธฐ ์ฃผ์กฐ ๊ณต์ •์˜ ๋ฌผ๋ฆฌ์  ์ƒ์‚ฐ์„ ์œ„ํ•ด์„œ๋Š” ์ „์ž๊ธฐ ๋ฌผ์งˆ ์ƒํ˜ธ ์ž‘์šฉ์— ๋Œ€ํ•œ ์ง€์‹์ด ์ค‘์š”ํ•ฉ๋‹ˆ๋‹ค. ๊ฐ€์—ด๋œ ๋ฌผ์งˆ์ด ์šฐ์ˆ˜ํ•œ ์ „์ž๊ธฐ ํก์ˆ˜์žฌ์ธ ๊ฒฝ์šฐ์—๋„ ์ „์ฒด ๊ฐ€์—ด ํ’ˆ์งˆ์ด ๋•Œ๋•Œ๋กœ ๋ถˆ์ถฉ๋ถ„ํ•ฉ๋‹ˆ๋‹ค. ์ˆ˜์น˜ ๋ชจ๋ธ๋ง์€ ๊ฐ€์žฅ ํšจ๊ณผ์ ์ธ ์ž‘์—…์„ ์ด๋Œ์–ด ๋‚ด๊ธฐ ์œ„ํ•ด ์†์„ฑ ๊ฐ„์˜ ์ ์ ˆํ•œ ๊ฒฐํ•ฉ ํšจ๊ณผ๋ฅผ ์ฐพ๋Š”๋ฐ ์‚ฌ์šฉ๋ฉ๋‹ˆ๋‹ค.

EMC ๊ณต์ •์˜ ์ถœ๋ ฅ ํ’ˆ์งˆ์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์ฃผ์š” ๋งค๊ฐœ ๋ณ€์ˆ˜๋Š” ๋‹จ์œ„ ๋ถ€ํ”ผ๋‹น ์žฌ๋ฃŒ๋กœ ๋ถ„์‚ฐ๋˜๋Š” ์ „๋ ฅ, ์ „์ž๊ธฐ์˜ ์นจํˆฌ ๊นŠ์ด, ๋ณตํ•ฉ ์ž๊ธฐ ํˆฌ๊ณผ์„ฑ ๋ฐ ๋ณตํ•ฉ ์œ ์ „์œจ์ž…๋‹ˆ๋‹ค. ์ ‘์ด‰ ๋ฉ”์ปค๋‹ˆ์ฆ˜๊ณผ ๊ฐ„์„ญ ํŒจํ„ด ๋˜ํ•œ ๊ณต์ •์˜ ํ’ˆ์งˆ์„ ๊ฒฐ์ •ํ•ฉ๋‹ˆ๋‹ค. ํ™˜๊ฒฝ ์˜จ๋„, ๊ฐ„์„ญ ํŒจํ„ด ๋ฐ ๊ธˆ์† ์‘๊ณ  ์†๋„์™€ ๊ฐ™์€ ๋ช‡ ๊ฐ€์ง€ ๋งค๊ฐœ ๋ณ€์ˆ˜ ๋งŒ AI ๋ชจ๋ธ๋กœ ์ œ์–ด ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

์‹ ๊ฒฝ๋ง์€ ์ธ๊ฐ„ ๋‡Œ์˜ ๋‰ด๋Ÿฐ์„ ์ž๊ทนํ•˜์—ฌ ์ •ํ™•ํ•œ ๊ฒฐ๊ณผ๋ฅผ ์–ป๊ธฐ ์œ„ํ•ด ์‚ฌ์šฉ๋ฉ๋‹ˆ๋‹ค. ์ ์ธต ์ œ์กฐ (AM)๋Š” ๊ธˆ์† ์ฃผ์กฐ์šฉ ๋ชฐ๋“œ ๋ฐ ์ฝ”์–ด๋ฅผ ์„ค๊ณ„ํ•˜๋Š” ๋ฐ ์‚ฌ์šฉ๋ฉ๋‹ˆ๋‹ค. ๋ชจ๋ธ์€ ๋กœ์ปฌ ์ตœ์†Œ๊ฐ’์— ์˜ํ–ฅ์„ ๋ฐ›๊ธฐ ์‰ฌ์šด ๊ธฐ์กด DFA ์ตœ์ ํ™” ์ ‘๊ทผ ๋ฐฉ์‹์„ ๋Šฅ๊ฐ€ํ–ˆ์Šต๋‹ˆ๋‹ค. ์ด ์‹œ์Šคํ…œ์€ ์˜คํ”„๋ผ์ธ์—์„œ๋งŒ ์ž‘๋™ํ•˜๋ฏ€๋กœ ์‹ค์‹œ๊ฐ„ ๋ถ„์„ ๋ฐ ์ˆ˜์ •์€ ์•„์ง ๋ถˆ๊ฐ€๋Šฅํ•ฉ๋‹ˆ๋‹ค.

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Intel Fortran Compiler 2019

Customer Notification: Intel Fortran Compiler Update

์ด ์•Œ๋ฆผ์€ ํ–ฅํ›„ ๋ฒ„์ „์—์„œ ์ปดํŒŒ์ผ ๋นŒ๋“œ ๋„๊ตฌ๋ฅผ ์—…๋ฐ์ดํŠธํ•˜๊ณ  ์žˆ์Œ์„ ์•Œ๋ ค ๋“œ๋ฆฌ๊ธฐ ์œ„ํ•œ ๊ฒƒ์ž…๋‹ˆ๋‹ค.

์†”๋ฒ„๋ฅผ ์‚ฌ์šฉ์ž ์ •์˜ (์ฆ‰, ์†Œ์Šค ์ฝ”๋“œ ์ˆ˜์ • ๋ฐ ์žฌ ์ปดํŒŒ์ผ)ํ•˜์ง€ ์•Š๋Š” ๊ฒฝ์›จ๋Š” ๋ณ„๋„์˜ ์กฐ์น˜๊ฐ€ ํ•„์š”ํ•˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค. ์†”๋ฒ„๋ฅผ ์‚ฌ์šฉ์ž ์ •์˜(์‚ฌ์šฉ์ž๊ฐ€ ํ”„๋กœ๊ทธ๋žจ ๋ชจ๋“ˆ์— ์‚ฌ์šฉ์ž์˜ ์ˆ˜์‹์„ ์ถ”๊ฐ€ํ•œ ๊ฒฝ์šฐ)ํ•˜๋Š” ์‚ฌ์šฉ์ž๋Š” ์ƒˆ ๋ฒ„์ „์ด ์ถœ์‹œ ๋  ๋•Œ ์›ํ™œํ•œ ์ „ํ™˜์„ ๋ณด์žฅํ•˜๊ธฐ ์œ„ํ•ด ์ด ์—…๋ฐ์ดํŠธ์— ๋Œ€ํ•œ ์•Œ๋ฆผ์— ๋Œ€ํ•ด ์ค€๋น„๋ฅผ ํ•ด์•ผ ํ•ฉ๋‹ˆ๋‹ค.

๋ณ€๊ฒฝ ์‚ฌํ•ญ์€ ๋‹ค์Œ๊ณผ ๊ฐ™์Šต๋‹ˆ๋‹ค.

FLOW-3D์˜ ๋‹ค์Œ ์ฃผ์š” ๋ฆด๋ฆฌ์Šค์ธ FLOW-3D v12.1 ๋ฐ FLOW-3D CAST v5.1์€ ์ธํ…” ยฎ FORTRAN ์ปดํŒŒ์ผ๋Ÿฌ ๋ฒ„์ „ 19.0.3.203 ๋นŒ๋“œ 20190206 (Windows) ๋ฐ ๋ฒ„์ „ 19.0.3.199 ๋นŒ๋“œ 20190206 (Linux)๋กœ ๋นŒ๋“œ๋ฉ๋‹ˆ๋‹ค.

Intel Fortran Compiler 2019
Intel Fortran Compiler 2019

์†”๋ฒ„๋ฅผ ์‚ฌ์šฉ์ž ์ง€์ •ํ•˜๋Š” Windows ์‚ฌ์šฉ์ž๋Š” Microsoft Visual Studio 2017 Professional๋„ ํ•„์š”ํ•ฉ๋‹ˆ๋‹ค.
ํ˜„์žฌ ๋ฒ„์ „์ธ FLOW-3D v12.0 ๋ฐ FLOW-3D CAST v5.0 ๋ฐ ํ›„์† ์—…๋ฐ์ดํŠธ๋Š” Intelยฎ FORTRAN ๋ฒ„์ „ 16.0.1 ๋ฐ Microsoft Visual Studio 2010/2013 Professional์„ ์‚ฌ์šฉํ•˜์—ฌ ๊ณ„์† ๋นŒ๋“œ๋ฉ๋‹ˆ๋‹ค.
๋‹ค์‹œ ์•Œ๋ ค๋“œ๋ฆฌ์ง€๋งŒ,์ด ์•Œ๋ฆผ์€ FLOW-3D ์†”๋ฒ„์šฉ์œผ๋กœ ์ œ๊ณต๋œ ์†Œ์Šค ์ฝ”๋“œ๋ฅผ ์ˆ˜์ •ํ•˜์—ฌ ์žฌ ์ปดํŒŒ์ผ(์ฆ‰, ์‚ฌ์šฉ์ž ์ •์˜)ํ•˜๋Š” ์‚ฌ์šฉ์ž์—๊ฒŒ๋งŒ ์ ์šฉ๋ฉ๋‹ˆ๋‹ค.

์†”๋ฒ„๋ฅผ ์‚ฌ์šฉ์ž ์ •์˜(์ปค์Šคํ…€ ์ฝ”๋“œ ์ถ”๊ฐ€ํ•œ ๊ฒฝ์šฐ)ํ•˜์ง€ ์•Š์€ ๊ฒฝ์šฐ์—๋Š” ์กฐ์น˜๊ฐ€ ํ•„์š”ํ•˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค. ์ด ์ปดํŒŒ์ผ๋Ÿฌ ์—…๋ฐ์ดํŠธ์— ๋Œ€ํ•œ ์งˆ๋ฌธ์ด ์žˆ๋Š” ๊ฒฝ์šฐ support@flow3d.com์œผ๋กœ ์ง€์› ํŒ€์— ๋ฌธ์˜ํ•˜์‹ญ์‹œ์˜ค.

Simulation Gallery

Simulation Gallery

Simulation Gallery | ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฐค๋Ÿฌ๋ฆฌ

์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๋น„๋””์˜ค ๊ฐค๋Ÿฌ๋ฆฌ์—์„œ FLOW-3D  ์ œํ’ˆ๊ตฐ์œผ๋กœ ๋ชจ๋ธ๋ง ํ•  ์ˆ˜ ์žˆ๋Š” ๋‹ค์–‘ํ•œ ๊ฐ€๋Šฅ์„ฑ์„ ์‚ดํŽด๋ณด์‹ญ์‹œ์˜ค .

์ ์ธต ์ œ์กฐ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฐค๋Ÿฌ๋ฆฌ

FLOW-3D AM ์€ ๋ ˆ์ด์ € ํŒŒ์šฐ๋” ๋ฒ ๋“œ ์œตํ•ฉ, ๋ฐ”์ธ๋” ์ œํŠธ ๋ฐ ์ง์ ‘ ์—๋„ˆ์ง€ ์ฆ์ฐฉ๊ณผ ๊ฐ™์€ ์ ์ธต ์ œ์กฐ ๊ณต์ •์„ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ํ•˜๊ณ  ๋ถ„์„ํ•ฉ๋‹ˆ๋‹ค. FLOW-3D AM ์˜ ๋‹ค์ค‘ ๋ฌผ๋ฆฌ ๊ธฐ๋Šฅ์€ ๊ณต์ • ๋งค๊ฐœ ๋ณ€์ˆ˜์˜ ๋ถ„์„ ๋ฐ ์ตœ์ ํ™”๋ฅผ ์œ„ํ•ด ๋ถ„๋ง ํ™•์‚ฐ ๋ฐ ์••์ถ•, ์šฉ์œต ํ’€ ์—ญํ•™, L-PBF ๋ฐ DED์— ๋Œ€ํ•œ ๋‹ค๊ณต์„ฑ ํ˜•์„ฑ, ๋ฐ”์ธ๋” ๋ถ„์‚ฌ ๊ณต์ •์„ ์œ„ํ•œ ์ˆ˜์ง€ ์นจํˆฌ ๋ฐ ํ™•์‚ฐ์— ๋Œ€ํ•œ ๋งค์šฐ ์ •ํ™•ํ•œ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค. 

Multi-material Laser Powder Bed Fusion | FLOW-3D AM

Micro and meso scale simulations using FLOW-3D AM help us understand the mixing of different materials in the melt pool and the formation of potential defects such as lack of fusion and porosity. In this simulation, the stainless steel and aluminum powders have independently-defined temperature dependent material properties that FLOW-3D AM tracks to accurately capture the melt pool dynamics. Learn more about FLOW-3D AM’s mutiphysics simulation capabilities at https://www.flow3d.com/products/flow3…

Laser Welding Simulation Gallery

FLOW-3D WELD ๋Š” ๋ ˆ์ด์ € ์šฉ์ ‘ ๊ณต์ •์— ๋Œ€ํ•œ ๊ฐ•๋ ฅํ•œ ํ†ต์ฐฐ๋ ฅ์„ ์ œ๊ณตํ•˜์—ฌ ๊ณต์ • ์ตœ์ ํ™”๋ฅผ ๋‹ฌ์„ฑํ•ฉ๋‹ˆ๋‹ค. ๋” ๋‚˜์€ ๊ณต์ • ์ œ์–ด๋กœ ๋‹ค๊ณต์„ฑ, ์—ด ์˜ํ–ฅ ์˜์—ญ์„ ์ตœ์†Œํ™”ํ•˜๊ณ  ๋ฏธ์„ธ ๊ตฌ์กฐ ์ง„ํ™”๋ฅผ ์ œ์–ด ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ๋ ˆ์ด์ € ์šฉ์ ‘ ๊ณต์ •์„ ์ •ํ™•ํ•˜๊ฒŒ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ํ•˜๊ธฐ ์œ„ํ•ด FLOW-3D WELD ๋Š” ๋ ˆ์ด์ € ์—ด์›, ๋ ˆ์ด์ €-์žฌ๋ฃŒ ์ƒํ˜ธ ์ž‘์šฉ, ์œ ์ฒด ํ๋ฆ„, ์—ด ์ „๋‹ฌ, ํ‘œ๋ฉด ์žฅ๋ ฅ, ์‘๊ณ , ๋‹ค์ค‘ ๋ ˆ์ด์ € ๋ฐ˜์‚ฌ ๋ฐ ์œ„์ƒ ๋ณ€ํ™”๋ฅผ ํŠน์ง•์œผ๋กœ ํ•ฉ๋‹ˆ๋‹ค.

Keyhole welding simulation | FLOW-3D WELD

๋ฌผ ๋ฐ ํ™˜๊ฒฝ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฐค๋Ÿฌ๋ฆฌ

FLOW-3D ๋Š” ๋ฌผ๊ณ ๊ธฐ ํ†ต๋กœ, ๋Œ ํŒŒ์†, ๋ฐฐ์ˆ˜๋กœ, ๋ˆˆ์‚ฌํƒœ, ์ˆ˜๋ ฅ ๋ฐœ์ „ ๋ฐ ๊ธฐํƒ€ ์ˆ˜์ž์› ๋ฐ ํ™˜๊ฒฝ ๊ณตํ•™ ๊ณผ์ œ ๋ชจ๋ธ๋ง์„ ํฌํ•จํ•˜์—ฌ ์œ ์•• ์‚ฐ์—…์— ๋Œ€ํ•œ ๋งŽ์€ ์‘์šฉ ๋ถ„์•ผ๋ฅผ ๊ฐ€์ง€๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์—”์ง€๋‹ˆ์–ด๋Š” ์ˆ˜๋ ฅ ๋ฐœ์ „์†Œ์˜ ๊ธฐ์กด ์ธํ”„๋ผ ์šฉ๋Ÿ‰์„ ๋Š˜๋ฆฌ๊ณ , ์–ด๋ฅ˜ ํ†ต๋กœ, ์ˆ˜๋‘ ์†์‹ค์„ ์ตœ์†Œํ™”ํ•˜๋Š” ํก์ž…๊ตฌ, ํฌ ์ด๋ฒ ์ด ์„ค๊ณ„ ๋ฐ ํ…Œ์ผ ๋ ˆ์ด์Šค ํ๋ฆ„์„์œ„ํ•œ ๊ฐœ์„  ๋œ ์„ค๊ณ„๋ฅผ ๊ฐœ๋ฐœํ•˜๊ณ , ์ˆ˜์„ธ ๋ฐ ํ‡ด์  ๋ฐ ๊ณต๊ธฐ ์œ ์ž…์„ ๋ถ„์„ ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

๊ธˆ์† ์ฃผ์กฐ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฐค๋Ÿฌ๋ฆฌ

FLOW-3D CAST  ์—๋Š” ์บ์ŠคํŒ…์„ ์œ„ํ•ด ํŠน๋ณ„ํžˆ ์„ค๊ณ„๋œ ๊ด‘๋ฒ”์œ„ํ•˜๊ณ  ๊ฐ•๋ ฅํ•œ ๋ฌผ๋ฆฌ์  ๋ชจ๋ธ์ด ํฌํ•จ๋˜์–ด ์žˆ์Šต๋‹ˆ๋‹ค. ์ด๋Ÿฌํ•œ ํŠน์ˆ˜ ๋ชจ๋ธ์—๋Š” lost foam casting, non-Newtonian fluids, and die cycling์— ๋Œ€ํ•œ ์•Œ๊ณ ๋ฆฌ์ฆ˜์ด ํฌํ•จ๋ฉ๋‹ˆ๋‹ค. FLOW-3D CAST ์˜ ๊ฐ•๋ ฅํ•œ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ์—”์ง„๊ณผ ๊ฒฐํ•จ ์˜ˆ์ธก์„ ์œ„ํ•œ ์ƒˆ๋กœ์šด ๋„๊ตฌ๋Š” ์„ค๊ณ„์ฃผ๊ธฐ๋ฅผ ๋‹จ์ถ•ํ•˜๊ณ  ๋น„์šฉ์„ ์ ˆ๊ฐ ํ•  ์ˆ˜ ์žˆ๋Š” ํ†ต์ฐฐ๋ ฅ์„ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค.

HPDC |Comparison of slow shot profiles and entrained air during a filling simulation |FLOW-3D CAST

Shown is a video comparing two slow shot profiles. The graphs highlight the shot profiles through time and the difference in entrained air between the slow shots. Note the lack of air entrained in shot sleeve with calculated shot profile which yields a much better controlled flow within the shot sleeve.

Coastal & Maritime Applications | FLOW-3D

FLOW-3D๋Š” ์„ ๋ฐ• ์„ค๊ณ„, ์Šฌ๋กœ์‹ฑ ๋‹ค์ด๋‚ด๋ฏน์Šค, ํŒŒ๋™ ์ถฉ๊ฒฉ ๋ฐ ํ™˜๊ธฐ ๋“ฑ ์—ฐ์•ˆ ๋ฐ ํ•ด์–‘ ์• ํ”Œ๋ฆฌ์ผ€์ด์…˜์— ์ด์ƒ์ ์ธ ์†Œํ”„ํŠธ์›จ์–ด์ž…๋‹ˆ๋‹ค. ์—ฐ์•ˆ ์• ํ”Œ๋ฆฌ์ผ€์ด์…˜์˜ ๊ฒฝ์šฐ FLOW-3D๋Š” ์—ฐ์•ˆ ๊ตฌ์กฐ๋ฌผ์— ์‹ฌ๊ฐํ•œ ํญํ’๊ณผ ์“ฐ๋‚˜๋ฏธ ํŒŒ์žฅ์˜ ์„ธ๋ถ€ ์ •๋ณด๋ฅผ ์ •ํ™•ํ•˜๊ฒŒ ์˜ˆ์ธกํ•˜๊ณ  ํ”Œ๋ž˜์‹œ ํ™์ˆ˜ ๋ฐ ์ค‘์š” ๊ตฌ์กฐ๋ฌผ ํ™์ˆ˜ ๋ฐ ์†์ƒ ๋ถ„์„์— ์‚ฌ์šฉ๋ฉ๋‹ˆ๋‹ค.

์ฃผ์กฐ ๋ถ„์•ผ

Metal Casting

์ฃผ์กฐ์ œํ’ˆ, ๊ธˆํ˜•์˜ ์„ค๊ณ„ ๊ณผ์ •์—์„œ FLOW-3D์˜ ์‚ฌ์šฉ์€ ํšŒ์‚ฌ์˜ ์ˆ˜์ต์„ฑ ๊ฐœ์„ ์— ์ง์ ‘์ ์ธ ์˜ํ–ฅ์„ ์ค๋‹ˆ๋‹ค.
(์ฃผ)์—์Šคํ‹ฐ์•„์ด์”จ์•ค๋””์—์„œ๋Š” ย FLOW-3D๋ฅผ ํ†ตํ•ด ํ•ด๊ฒฐํ•œ ์ˆ˜๋งŽ์€ ๊ฒฝํ—˜๊ณผ ์ „๋ฌธ ์ง€์‹์„ ์—”์ง€๋‹ˆ์–ด์™€ ์„ค๊ณ„์ž์—๊ฒŒ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค.

ํ’ˆ์งˆ ๋ฐ ์ƒ์‚ฐ์„ฑ ๋ฌธ์ œ๋Š” ๋น ๋ฅธ ์‹œ๊ฐ„ ์•ˆ์— ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ํ†ตํ•ด ์˜ˆ์ธก ๊ฐ€๋Šฅํ•˜๋ฏ€๋กœ ๋‚ฎ์€ ๋น„์šฉ์œผ๋กœ ํ•ด๊ฒฐ ํ• ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. FLOW-3D๋Š” ํŠน๋ณ„ํžˆ ์ฃผ์กฐํ•ด์„์˜ ์ •ํ™•์„ฑ ํ–ฅ์ƒ์„ ์œ„ํ•œ ๋‹ค์–‘ํ•œ ์„ค๊ณ„ ๋ฌผ๋ฆฌ ๋ชจ๋ธ๋“ค์„ ํฌํ•จํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.

์ด ๋ชจ๋ธ์—๋Š” Lost Foam ์ฃผ์กฐ, Non-newtonian ์œ ์ฒด ๋ฐ ๊ธˆํ˜•์˜ ๋‹ค์ด์‹ธ์ดํด๋ง ํ•ด์„์— ๋Œ€ํ•œ ์•Œ๊ณ ๋ฆฌ์ฆ˜ ๋“ฑ์„ ํฌํ•จํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์‹œ๋ฎฌ๋ ˆ์ด์…˜์˜ ์ •ํ™•์„ฑ๊ณผ ์ฃผ์กฐ ์ œํ’ˆ์˜ ํ’ˆ์งˆ์„ ํ–ฅ์ƒ์‹œํ‚ค๊ณ ์ž ํ•œ๋‹ค๋ฉด, FLOW-3D๋Š” ์—ฌ๋Ÿฌ๋ถ„๋“ค์˜ ์ด๋Ÿฌํ•œ ์š”๊ตฌ๋ฅผ ์ถฉ์กฑ์‹œํ‚ค๋Š” ์ œํ’ˆ์ž…๋‹ˆ๋‹ค.

Ladle Pour Simulation by Nemak Poland Sp. z o.o.

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๊ด€๋ จ ๊ธฐ์ˆ ์ž๋ฃŒ

The Fastest Laptops for 2024

FLOW-3D ์ˆ˜์น˜ํ•ด์„์šฉ ๋…ธํŠธ๋ถ ์„ ํƒ ๊ฐ€์ด๋“œ

2024๋…„ ๊ฐ€์žฅ ๋น ๋ฅธ ๋…ธํŠธ๋ถ PCMag์ด ํ…Œ์ŠคํŠธํ•˜๋Š” ๋ฐฉ๋ฒ• ์†Œ๊ฐœ : ๊ธฐ์‚ฌ ์›๋ณธ ์ถœ์ฒ˜: https://www.pcmag.com/picks/the-fastest-laptops CFD๋ฅผ ์ˆ˜ํ–‰ํ•˜๊ธฐ ์œ„ํ•œ ๋…ธํŠธ๋ถ ์„ ์ • ๊ธฐ์ค€์€ ๋ณ„๋„๋กœ ...
The experimental layout

Strength Prediction for Pearlitic Lamellar Graphite Iron: Model Validation

ํŽ„๋ผ์ดํŠธ ๋ผ๋ฉœ๋ผ ํ‘์—ฐ ์ฒ ์˜ ๊ฐ•๋„ ์˜ˆ์ธก: ๋ชจ๋ธ ๊ฒ€์ฆ Vasilios Fourlakidis, Ilia Belov, Attila Diรณszegi Abstract The present work provides validation ...
Fig. 1. Protection matt over the scour pit.

Numerical study of the flow at a vertical pile with net-like scourprotection matt

๊ทธ๋ฌผํ˜• ์„ธ๊ตด๋ฐฉ์ง€ ๋งคํŠธ๋ฅผ ์‚ฌ์šฉํ•œ ์ˆ˜์ง๋ง๋š์˜ ์œ ๋™์— ๋Œ€ํ•œ ์ˆ˜์น˜์  ์—ฐ๊ตฌ Minxi Zhanga,b, Hanyan Zhaoc, Dongliang Zhao d, Shaolin Yuee, Huan Zhoue,Xudong ...
๊ทธ๋ฆผ 2.1 ๊ฐ€๊ณต ํ›„ ๋ถ€ํ’ˆ ๋ณด๊ธฐ

1 m/s๋ณด๋‹ค ๋น ๋ฅธ ์†๋„์—์„œ ์•ก์ฒด ๊ธˆ์†์˜ ์›€์ง์ž„ ์—ฐ๊ตฌ

ESTUDIO MOVIMIENTO DE METAL LIQUIDO A VELOCIDADES MAYORES DE 1 M/S Author: Primitivo Carranza TormeSupervised by :Dr. Jesus Mยช Blanco ...
Figure 14. Defects: (a) Unmelt defects(Scheme NO.4);(b) Pores defects(Scheme NO.1); (c); Spattering defect (Scheme NO.3); (d) Low overlapping rate defects(Scheme NO.5).

Molten pool structure, temperature and velocity
flow in selective laser melting AlCu5MnCdVA alloy

์šฉ์œต ํ’€ ๊ตฌ์กฐ, ์„ ํƒ์  ์˜จ๋„ ๋ฐ ์†๋„ ํ๋ฆ„ ๋ ˆ์ด์ € ์šฉ์œต AlCu5MnCdVA ํ•ฉ๊ธˆ Pan Lu1 , Zhang Cheng-Lin2,6,Wang Liang3, Liu Tong4 ...
Figure 4.24 - Model with virtual valves in the extremities of the geometries to simulate the permeability of the mold promoting a more uniformed filling

Optimization of filling systems for low pressure by Flow-3D

Dissertaรงรฃo de MestradoCiclo de Estudos Integrados Conducentes aoGrau de Mestre em Engenharia MecรขnicaTrabalho efectuado sob a orientaรงรฃo doDoutor Hรฉlder de ...
Figure 1: Mold drawings

3D Flow and Temperature Analysis of Filling a Plutonium Mold

ํ”Œ๋ฃจํ† ๋Š„ ์ฃผํ˜• ์ถฉ์ „์˜ 3D ์œ ๋™ ๋ฐ ์˜จ๋„ ๋ถ„์„ Authors: Orenstein, Nicholas P. [1] Publication Date:2013-07-24Research Org.: Los Alamos National Lab ...
Figure 5: 3D & 2D views of simulated fill sequence of a hollow cylinder at 1000 rpm and 1500 rpm at various time intervals during filling.

Computer Simulation of Centrifugal Casting Process using FLOW-3D

Aneesh Kumar J1, a, K. Krishnakumar1, b and S. Savithri2, c 1 Department of Mechanical Engineering, College of Engineering, Thiruvananthapuram, ...
Fig. 1. (a) Dimensions of the casting with runners (unit: mm), (b) a melt flow simulation using Flow-3D software together with Reilly's model[44], predicted that a large amount of bifilms (denoted by the black particles) would be contained in the final casting. (c) A solidification simulation using Pro-cast software showed that no shrinkage defect was contained in the final casting.

AZ91 ํ•ฉ๊ธˆ ์ฃผ๋ฌผ ๋‚ด ์—ฐํ–‰ ๊ฒฐํ•จ์— ๋Œ€ํ•œ ์บ๋ฆฌ์–ด ๊ฐ€์Šค์˜ ์˜ํ–ฅ

TianLiabJ.M.T.DaviesaXiangzhenZhucaUniversity of Birmingham, Birmingham B15 2TT, United KingdombGrainger and Worrall Ltd, Bridgnorth WV15 5HP, United KingdomcBrunel Centre for Advanced Solidification ...
Gating System Design Based on Numerical Simulation and Production Experiment Verification of Aluminum Alloy Bracket Fabricated by Semi-solid Rheo-Die Casting Process

Gating System Design Based on Numerical Simulation and Production Experiment Verification of Aluminum Alloy Bracket Fabricated by Semi-solid Rheo-Die Casting Process

๋ฐ˜๊ณ ์ฒด ๋ ˆ์˜ค ๋‹ค์ด ์บ์ŠคํŒ… ๊ณต์ •์œผ๋กœ ์ œ์ž‘๋œ ์•Œ๋ฃจ๋ฏธ๋Š„ ํ•ฉ๊ธˆ ๋ธŒ๋ž˜ํ‚ท์˜ ์ˆ˜์น˜ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๋ฐ ์ƒ์‚ฐ ์‹คํ—˜ ๊ฒ€์ฆ์„ ๊ธฐ๋ฐ˜์œผ๋กœ ํ•œ ๊ฒŒ์ดํŒ… ์‹œ์Šคํ…œ ์„ค๊ณ„ ...
FLOW-3D CAST 2025R1

FLOW-3D CAST

FLOW-3D CAST 2025R1์€ ์ฃผ์กฐ ์—”์ง€๋‹ˆ์–ด๊ฐ€ ๋ณต์žกํ•œ ๋น„์ฒ  ์ฃผ์กฐ์—์„œ ๋” ๋‚˜์€ ํ’ˆ์งˆ, ํšจ์œจ์„ฑ ๋ฐ ์ •๋ฐ€๋„๋ฅผ ๋‹ฌ์„ฑํ•  ์ˆ˜ ์žˆ๋„๋ก ์ง€์›ํ•ฉ๋‹ˆ๋‹ค. ์ด๋ฒˆ ๋ฆด๋ฆฌ์Šค์—๋Š” ์‘๊ณ  ๋ฐ ์ˆ˜์ถ• ๋ชจ๋ธ, HPDC์˜ ์ƒท ์Šฌ๋ฆฌ๋ธŒ ๋ชจ๋ธ, ๋ฐธ๋ธŒ ๋ชจ๋ธ์— ๋Œ€ํ•œ ๊ฐœ์„  ์‚ฌํ•ญ์ด ํฌํ•จ๋˜์–ด ์žˆ์Šต๋‹ˆ๋‹ค.

์‘๊ณ  ์ˆ˜์ถ• ๋ชจ๋ธ ๊ฐœ์„  ์‚ฌํ•ญ
์ด๋ฒˆ ์‹ ์ œํ’ˆ์—๋Š” ์ƒˆ๋กœ์šด EXODUS ํ˜•์‹์˜ ๋‹ค๊ณต์„ฑ ์ถœ๋ ฅ์ด ์ˆ˜์ •๋œ ๊ฐœ์„ ๋œ ์‘๊ณ  ์ˆ˜์ถ• ๋ชจ๋ธ์ด ํฌํ•จ๋˜์–ด ์žˆ์–ด ์‚ฌ์šฉ์ž๊ฐ€ ๋‹ค๊ณต์„ฑ ๋ถ„์„๊ณผ ํ•ด์„์„ ๊ฐ„์†Œํ™”ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์ด์ œ ๋‹ค๊ณต์„ฑ ์ถœ๋ ฅ์—๋Š” ๋ถ„ํ•ด๋œ ์ˆ˜์ถ• ๋‹ค๊ณต์„ฑ์ด ํฌํ•จ๋˜์–ด ์—”์ง€๋‹ˆ์–ด๊ฐ€ ๋ˆ„์ถœ ๊ฒฝ๋กœ๋ฅผ ๋” ์ž˜ ์‹œ๊ฐํ™”ํ•  ์ˆ˜ ์žˆ๋„๋ก ๋„์™€์ค๋‹ˆ๋‹ค.

์ƒท ์Šฌ๋ฆฌ๋ธŒ์˜ ์‘๊ณ ๋œ ๊ธˆ์† ์ฒ˜๋ฆฌ ๊ฐœ์„ 
๊ณ ์•• ๋‹ค์ด์บ์ŠคํŒ…(HPDC)์—์„œ๋Š” ์ƒท ์Šฌ๋ฆฌ๋ธŒ์˜ ์ดˆ๊ธฐ ์‘๊ณ ๋กœ ์ธํ•ด ์™„์„ฑ๋œ ์ฃผ์กฐ๋ฌผ์˜ ์ฝœ๋“œ ์…ง ๋ฐ ์˜ค์„ ๊ณผ ๊ฐ™์€ ๊ฒฐํ•จ์ด ๋ฐœ์ƒํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์ด์ œ ์‚ฌ์šฉ์ž๋Š” ๋‹ค๊ณต์„ฑ ๊ธฐ๋ฐ˜ ์‘๊ณ  ๋ชจ๋ธ์„ ์‚ฌ์šฉํ•˜์—ฌ ์ƒท ์Šฌ๋ฆฌ๋ธŒ์—์„œ ์‘๊ณ ๋œ ๊ธˆ์†์˜ ์›€์ง์ž„์„ ํฌ์ฐฉํ•  ์ˆ˜ ์žˆ์œผ๋ฉฐ, ์ถฉ์ „ ์‹œ ํ›จ์”ฌ ๋” ์ •ํ™•ํ•œ ์—ด ํ”„๋กœํŒŒ์ผ์„ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค.

EXODUS ํŒŒ์ผ ํ˜•์‹์˜ ์ƒˆ๋กœ์šด ๋‹ค๊ณต์„ฑ ํ‘œํ˜„์€ ๋‹จ์ผ ๋‹ค๊ณต์„ฑ ์ถœ๋ ฅ์—์„œ ๊ธˆ์†์˜ ๋‹ค๊ณต์„ฑ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ํ•ด์ƒ๋œ ์ˆ˜์ถ•์„ ๋” ์ž˜ ์„ค๋ช…ํ•ฉ๋‹ˆ๋‹ค.

๊ฐœ์„ ๋œ ๋ฐธ๋ธŒ ๋ชจ๋ธ
FLOW-3D CAST์˜ ๋ฐธ๋ธŒ์™€ ํ†ตํ’๊ตฌ ๋ถ€ํ’ˆ์€ ์ฃผ์กฐ ์–ด์…ˆ๋ธ”๋ฆฌ์˜ ํ™˜๊ธฐ ์‹œ์Šคํ…œ์„ ๋ชจ๋ธ๋งํ•˜๋Š” ๋ฐ ์‚ฌ์šฉ๋˜๋ฉฐ, ์ด๋Š” ์ฃผ์กฐ ๋ถ€ํ’ˆ์˜ ๊ฒฐํ•จ์„ ์ œ๊ฑฐํ•˜๋Š” ๋ฐ ๋งค์šฐ ์ค‘์š”ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์ด์ œ ์‚ฌ์šฉ์ž๋Š” ๋ฐธ๋ธŒ์™€ ํ†ตํ’๊ตฌ์—์„œ ๋ฐฐ์ถœ๋  ์ˆ˜ ์žˆ๋Š” ๋ชฉํ‘œ ๊ธˆ์† ๋ถ€ํ”ผ๋ฅผ ์ง€์ •ํ•˜์—ฌ ๊ฐœ์„ ๋œ ๋ฐธ๋ธŒ ๋ชจ๋ธ์„ ํ†ตํ•ด ์ตœ์ข… ๊ฒฐํ•จ ์œ„์น˜๋ฅผ ๋ณด๋‹ค ์ •ํ™•ํ•˜๊ฒŒ ์˜ˆ์ธกํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

์ƒˆ๋กœ์šด ๋ฐธ๋ธŒ ๋ชจ๋ธ์€ ๊ธˆ์†์ด ๋ฐธ๋ธŒ๋ฅผ ํ†ตํ•ด ๋ฐฐ์ถœ๋  ์ˆ˜ ์žˆ๋„๋ก ํ•˜์—ฌ, ํ๋ฆ„ ๊ฒฐํ•จ์ด ์–ด๋””๋กœ ๊ฐ€๋Š”์ง€ ๋” ์ •ํ™•ํ•˜๊ฒŒ ํ‘œํ˜„ํ•ฉ๋‹ˆ๋‹ค (์•„๋ž˜์ชฝ)

FLOW-3D CAST 2024R1์€ ์˜๊ตฌ ๊ธˆํ˜• ์ฃผ์กฐ๋ฅผ ์œ„ํ•œ ์—ฌ๋Ÿฌ ๊ฐ€์ง€ ๊ฐœ์„  ์‚ฌํ•ญ์„ ํฌํ•จํ•˜๊ณ  ์žˆ์œผ๋ฉฐ, ๊ทธ ์ค‘ ์ฒซ ๋ฒˆ์งธ๋Š” Thermal die cycling ์‹œ๋ฎฌ๋ ˆ์ด์…˜์—์„œ ๋ณด๋‹ค ์‹œ๊ฐ์ ์œผ๋กœ ํŽธ๋ฆฌํ•œ ๋ƒ‰๊ฐ ์ฑ„๋„ ์„ค์ •์ž…๋‹ˆ๋‹ค. ์ด๋ฅผ ํ†ตํ•ด ๋ƒ‰๊ฐ ์ฑ„๋„ ํƒ€์ด๋ฐ ์„ค์ •์„ ๋” ์‰ฝ๊ฒŒ ํ•˜๊ณ  ์ž…๋ ฅ ์˜ค๋ฅ˜์˜ ๊ฐ€๋Šฅ์„ฑ์„ ์ค„์ผ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์ด ๊ฐœ์„  ์‚ฌํ•ญ์€ ๊ฐ ๋ƒ‰๊ฐ ์ฑ„๋„์ด ํ™œ์„ฑํ™”๋˜๋Š” ์‹œ์ ๊ณผ ๊ด€๋ จ ์†์„ฑ์„ ์‰ฝ๊ฒŒ ํ™•์ธํ•  ์ˆ˜ ์žˆ๋„๋ก ํ•ฉ๋‹ˆ๋‹ค.

Cooling channel setup
๋ƒ‰๊ฐ ์ฑ„๋„์€ ์ด์ œ ๋‹ค๋ฅธ ๊ณต์ • ํƒ€์ด๋ฐ๊ณผ ํ•จ๊ป˜ ํ‘œ์‹œ๋˜์–ด ๋ณต์žกํ•œ ์‹œ์Šคํ…œ์„ ๊ฐ„๋‹จํ•˜๊ณ  ์‹œ๊ฐ์ ์œผ๋กœ ํ‘œํ˜„ํ•ฉ๋‹ˆ๋‹ค.

๋˜ํ•œ, ๊ฐ„๋‹จํ•œ ์Šคํ”„๋ ˆ์ด/๊ธˆํ˜• ์ฒ˜๋ฆฌ ๋ชจ๋ธ์„ ํ™•์žฅํ•˜์—ฌ ์บ๋น„ํ‹ฐ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ํŒŒํŒ… ๋ผ์ธ์—๋„ ์Šคํ”„๋ ˆ์ดํ•  ์ˆ˜ ์žˆ๋Š” ์˜ต์…˜์„ ์ถ”๊ฐ€ํ–ˆ์Šต๋‹ˆ๋‹ค. ์ด๋ฅผ ํ†ตํ•ด ์ด๋Ÿฌํ•œ ์œ ํ˜•์˜ ๊ธˆํ˜• ์ฒ˜๋ฆฌ ๋ฐฉ์‹์„ ์‰ฝ๊ฒŒ ๊ทธ๋ฆฌ๊ณ  ํ˜„์‹ค์ ์œผ๋กœ ํ‘œํ˜„ํ•  ์ˆ˜ ์žˆ์–ด ๋” ๋‚˜์€ ์—ด ์˜ˆ์ธก์„ ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์œ ์‚ฌํ•˜๊ฒŒ, ์ด์ œ Thermal die cycling ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ์ค‘์— ํ”Œ๋Ÿฐ์ €์˜ ์›€์ง์ž„์„ ๊ณ ๋ คํ•˜์—ฌ ์—ด ์˜ˆ์ธก์˜ ์ •ํ™•์„ฑ์„ ํ–ฅ์ƒ์‹œ์ผฐ์Šต๋‹ˆ๋‹ค.

๋˜ ๋‹ค๋ฅธ ๊ฐœ๋ฐœ ์‚ฌํ•ญ์€ ์ดˆ๊ธฐ ๋‹จ๊ณ„ ๊ธˆํ˜• ์„ค๊ณ„์—์„œ ๋” ๋น ๋ฅธ ์—ด ํ•ด์„์„ ์ œ๊ณตํ•˜๋ฉด์„œ๋„ ํ•ด์„์˜ ์ •ํ™•๋„๋ฅผ ์œ ์ง€ํ•  ์ˆ˜ ์žˆ๋„๋ก ์„ค๊ณ„๋˜์—ˆ์Šต๋‹ˆ๋‹ค. ์ด๋Š” ์ƒˆ๋กœ์šด ์—ด ์ „๋‹ฌ ๋ชจ๋“œ๋ฅผ ๊ธฐํ•˜ํ•™์  ํ˜•ํƒœ์— ๋Œ€ํ•ด ํ™œ์„ฑํ™”ํ•˜์—ฌ ์‚ฌ์šฉํ•ฉ๋‹ˆ๋‹ค.

FLOW-3D CAST 2024R1์—๋Š” ๋‘ ๊ฐ€์ง€ ์ƒˆ๋กœ์šด ์ถœ๋ ฅ์ด ์ถ”๊ฐ€๋˜์—ˆ์Šต๋‹ˆ๋‹ค. ์ฒซ ๋ฒˆ์งธ๋Š” ๊ธˆํ˜•์— ๋Œ€ํ•œ ํŠน์ • ์—ด ์ „๋‹ฌ๋กœ, ๊ธˆํ˜•์œผ๋กœ ์ „๋‹ฌ๋˜๋Š” ์—ด์˜ ์†๋„๋ฅผ ์ €์žฅํ•˜๊ณ  ๊ธˆํ˜•์˜ ๋‹ค์–‘ํ•œ ์œ„์น˜์—์„œ ํ•„์š”ํ•œ ๋ƒ‰๊ฐ ๋Šฅ๋ ฅ์— ๋Œ€ํ•œ ํ†ต์ฐฐ์„ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค. ๋‘ ๋ฒˆ์งธ ์ถœ๋ ฅ์€ ๊ณต๋™ ๋ฐœ์ƒ ํ•˜์ค‘์œผ๋กœ, ๊ณต๋™ ์†์ƒ์ด ๋ฐœ์ƒํ•  ๊ฐ€๋Šฅ์„ฑ์ด ์žˆ๋Š” ์˜์—ญ์„ ํ‘œ์‹œํ•ฉ๋‹ˆ๋‹ค.

๊ธˆํ˜•์œผ๋กœ์˜ ์—ด์ „๋‹ฌ๋Ÿ‰ ํ‘œํ˜„
Cavitation load
๊ณต๋™ ๋ฐœ์ƒ ํ•˜์ค‘

๋งˆ์ง€๋ง‰์œผ๋กœ, ์‚ฌ์šฉ์ž ๊ธฐ๋Œ€์— ๋” ๋งž๋„๋ก ๊ธฐ์กด ๋ชจ๋ธ์— ๋‘ ๊ฐ€์ง€ ์กฐ์ •์„ ์ถ”๊ฐ€ํ–ˆ์Šต๋‹ˆ๋‹ค. ์ฒซ ๋ฒˆ์งธ๋Š” ๋ฐธ๋ธŒ๊ฐ€ ๊ฐ€์žฅ ๊ฐ€๊นŒ์šด open volume์— ์ ์šฉ๋˜๋„๋ก ์ˆ˜์ •ํ•˜์—ฌ, ๊ธˆํ˜• ํ‘œ๋ฉด์ด ์‹ค์ˆ˜๋กœ ๋ฐธ๋ธŒ๋ฅผ ๋น„ํ™œ์„ฑํ™”ํ•˜๋Š” ๊ฐ€๋Šฅ์„ฑ์„ ์—†์•ด์Šต๋‹ˆ๋‹ค. ๋‘ ๋ฒˆ์งธ ์กฐ์ •์€ ๋ชจ๋ธ์„ ์‚ฌ์šฉํ•  ๋•Œ ํ”Œ๋Ÿฐ์ € ๊ฐ€์†๋„์˜ ๊ธฐ๋ณธ ํ•œ๊ณ„๋ฅผ ๋” ํ˜„์‹ค์ ์œผ๋กœ ์„ค์ •ํ•œ ๊ฒƒ์ž…๋‹ˆ๋‹ค. ์ด์ „์˜ ๊ธฐ๋ณธ๊ฐ’์€ ๋…ธ์ด์ฆˆ๊ฐ€ ๋ฐœ์ƒ๋  ๊ฐ€๋Šฅ์„ฑ์ด ์žˆ์—ˆ์Šต๋‹ˆ๋‹ค.

์ƒˆ๋กœ์šด ๊ฒฐ๊ณผ ํŒŒ์ผ ํ˜•์‹

FLOW-3D POST 2023R2๋Š” EXODUS II ํ˜•์‹์„ ๊ธฐ๋ฐ˜์œผ๋กœ ํ•˜๋Š” ์™„์ „ํžˆ ์ƒˆ๋กœ์šด ๊ฒฐ๊ณผ ํŒŒ์ผ ํ˜•์‹์„ ๋„์ž…ํ•˜์—ฌ ๋” ๋น ๋ฅธ ํ›„์ฒ˜๋ฆฌ๋ฅผ ๊ฐ€๋Šฅํ•˜๊ฒŒ ํ•ฉ๋‹ˆ๋‹ค. ์ด ์ƒˆ๋กœ์šด ํŒŒ์ผ ํ˜•์‹์€ ํฌ๊ณ  ๋ณต์žกํ•œ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์˜ ํ›„์ฒ˜๋ฆฌ ์ž‘์—…์— ์†Œ์š”๋˜๋Š” ์‹œ๊ฐ„์„ ํฌ๊ฒŒ ์ค„์ด๋Š” ๋™์‹œ์—(ํ‰๊ท  ์ตœ๋Œ€ 5๋ฐฐ!) ๋‹ค๋ฅธ ์‹œ๊ฐํ™” ๋„๊ตฌ์™€์˜ ์—ฐ๊ฒฐ์„ฑ์„ ํ–ฅ์ƒ์‹œํ‚ต๋‹ˆ๋‹ค.

FLOW-3D POST 2023R2 ์—์„œ ์‚ฌ์šฉ์ž๋Š” ์ด์ œ flsgrf , EXODUS II ๋˜๋Š” flsgrf ๋ฐ EXODUS II ํŒŒ์ผ ํ˜•์‹ ์œผ๋กœ ์„ ํƒํ•œ ๋ฐ์ดํ„ฐ๋ฅผ ์“ธ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค . ์ƒˆ๋กœ์šด EXODUS II ํŒŒ์ผ ํ˜•์‹์€ ๊ฐ ๊ฐ์ฒด์— ๋Œ€ํ•ด ์œ ํ•œ ์š”์†Œ ๋ฉ”์‰ฌ๋ฅผ ํ™œ์šฉํ•˜๋ฏ€๋กœ ์‚ฌ์šฉ์ž๋Š” ๋‹ค๋ฅธ ํ˜ธํ™˜ ๊ฐ€๋Šฅํ•œ ํฌ์ŠคํŠธ ํ”„๋กœ์„ธ์„œ ๋ฐ FEA ์ฝ”๋“œ๋ฅผ ์‚ฌ์šฉ ํ•˜์—ฌ FLOW-3D ๊ฒฐ๊ณผ๋ฅผ ์—ด ์ˆ˜๋„ ์žˆ์Šต๋‹ˆ๋‹ค. ์ƒˆ๋กœ์šด ์›Œํฌํ”Œ๋กœ์šฐ๋ฅผ ํ†ตํ•ด ์‚ฌ์šฉ์ž๋Š” ํฌ๊ณ  ๋ณต์žกํ•œ ์‚ฌ๋ก€๋ฅผ ์‹ ์†ํ•˜๊ฒŒ ์‹œ๊ฐํ™”ํ•˜๊ณ  ์ž„์˜ ์Šฌ๋ผ์ด์‹ฑ, ๋ณผ๋ฅจ ๋ Œ๋”๋ง ๋ฐ ํ†ต๊ณ„๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ๋ณด์กฐ ์ •๋ณด๋ฅผ ์ถ”์ถœํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

์ƒˆ๋กœ์šด ๊ฒฐ๊ณผ ํŒŒ์ผ ํ˜•์‹์€ ์†”๋ฒ„ ์—”์ง„์˜ ์„ฑ๋Šฅ์„ ์ €ํ•˜์‹œํ‚ค์ง€ ์•Š์œผ๋ฉด์„œ flsgrf ์— ๋น„ํ•ด ์‹œ๊ฐํ™” ์ž‘์—… ํ๋ฆ„์—์„œ ๋†€๋ผ์šด ์†๋„ ํ–ฅ์ƒ์„ ์ž๋ž‘ํ•ฉ๋‹ˆ๋‹ค.

FLOW-3D POST์˜ ํ‘œ๋ฉด LIC
FLOW-3D POST ์˜ ์ƒˆ๋กœ์šด EXODUS II ํŒŒ์ผ ํ˜•์‹ ๋ฐ Surface LIC ํ‘œํ˜„์˜ ์˜ˆ

์ด ํฅ๋ฏธ๋กœ์šด ์ƒˆ๋กœ์šด ๊ฐœ๋ฐœ์€ ๊ฒฐ๊ณผ ๋ถ„์„์˜ ์†๋„์™€ ์œ ์—ฐ์„ฑ์ด ํ–ฅ์ƒ๋˜์–ด ์‚ฌ์šฉ์ž์—๊ฒŒ ์›ํ™œํ•œ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฒฝํ—˜์„ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค. FLOW-3D POST ์˜ ์ƒˆ๋กœ์šด ์‹œ๊ฐํ™” ๊ธฐ๋Šฅ ์— ๋Œ€ํ•ด ์ž์„ธํžˆ ์•Œ์•„๋ณด์„ธ์š” .

์ •์ˆ˜์•• ์ดˆ๊ธฐํ™”

์‚ฌ์šฉ์ž๊ฐ€ ์‚ฌ์ „ ์ •์˜๋œ ๊ธˆ์† ์˜์—ญ์—์„œ ์ •์ˆ˜์••์„ ์ดˆ๊ธฐํ™”ํ•ด์•ผ ํ•˜๋Š” ๊ฒฝ์šฐ๊ฐ€ ์ข…์ข… ์žˆ์Šต๋‹ˆ๋‹ค. ํฌ๊ณ  ๋ณต์žกํ•œ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์—์„œ๋Š” ์ •์ˆ˜์•• ์†”๋ฒ„์˜ ์ˆ˜๋ ด ์†๋„๊ฐ€ ๋А๋ ค์ง€๋Š” ๊ฒฝ์šฐ๊ฐ€ ์žˆ์Šต๋‹ˆ๋‹ค. FLOW-3D CAST 2023R2๋Š” ์ •์ˆ˜์•• ์†”๋ฒ„์˜ ์„ฑ๋Šฅ์„ ํฌ๊ฒŒ ํ–ฅ์ƒ์‹œ์ผœ ์ „์ฒ˜๋ฆฌ ๋‹จ๊ณ„์—์„œ ์ตœ๋Œ€ 6๋ฐฐ ๋น ๋ฅด๊ฒŒ ์ˆ˜๋ ดํ•  ์ˆ˜ ์žˆ๋„๋ก ํ•ด์ค๋‹ˆ๋‹ค.

์ƒˆ๋กœ์šด TDC(์—ด ๋‹ค์ด ์‚ฌ์ดํด๋ง) ๋ชจ๋ธ

์—ด ๋‹ค์ด ์‚ฌ์ดํด๋ง - ์ƒท ์Šฌ๋ฆฌ๋ธŒ
์ƒˆ๋กœ์šด Thermal Die Cycling ๋ชจ๋ธ๋กœ ์˜ˆ์ธก๋œ โ€‹โ€‹์ƒท ์Šฌ๋ฆฌ๋ธŒ์˜ ์˜จ๋„ ๋ถ„ํฌ

FLOW-3D CAST 2023R2 ์˜ ์žฌ์„ค๊ณ„๋œ ์—ด ๋‹ค์ด ์‚ฌ์ดํด๋ง(TDC) ๋ชจ๋ธ์€ ๊ณ ์•• ๋‹ค์ด ์บ์ŠคํŒ… ๋ฐ ๊ธฐํƒ€ ์˜๊ตฌ ๊ธˆํ˜• ์ฃผ์กฐ ๊ณต์ •์˜ ํ”„๋กœ์„ธ์Šค ์‹œํŠธ์™€ ๋” ์ž˜ ์ผ์น˜ํ•˜๋Š” ๋” ๊ฐ„๋‹จํ•˜๊ณ  ์ง๊ด€์ ์ธ ์„ค์ • ํ”„๋กœ์„ธ์Šค๋ฅผ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค. 

์ด์ œ TDC ์‹œํ€€์Šค๋Š” ์ถฉ์ „ ๋‹จ๊ณ„์˜ ์‹œ์ž‘ ๋ถ€๋ถ„ ์—์„œ ์‹œ์ž‘๋˜์–ด ํ•˜์œ„ ํ”„๋กœ์„ธ์Šค ์ „๋ฐ˜์— ๊ฑธ์ณ ์‹œ๊ฐ„์— ๋”ฐ๋ฅธ ๋ƒ‰๊ฐ/๊ฐ€์—ด ๋ผ์ธ ์ •์˜์— ๋Œ€ํ•œ ๋” ๋†’์€ ์ •ํ™•์„ฑ๊ณผ ์ •๋ ฌ์„ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค. ํ–ฅ์ƒ๋œ ์Šคํ”„๋ ˆ์ด ๋ƒ‰๊ฐ ๋ชจ๋ธ์„ ํ†ตํ•ด ์‚ฌ์šฉ์ž๋Š” ๋ถ€ํ’ˆ๋ณ„๋กœ ์ฒ˜๋ฆฌ ์ผ์ •์„ ์ •์˜ํ•  ์ˆ˜ ์žˆ์„ ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ์Šคํ”„๋ ˆ์ด, ์„ธ์ฒ™ ๋ฐ ์ฝ”ํŒ… ์ฒ˜๋ฆฌ์— ๋Œ€ํ•œ ์˜ต์…˜์„ ์ฒ˜๋ฐฉํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์Šฌ๋ผ์ด๋” ๋™์ž‘๋„ ํฌํ•จ๋˜๋ฉฐ ์ด์ œ ๋ƒ‰๊ฐ ์ฑ„๋„๊ณผ ๊ฐ€์—ด ์š”์†Œ๊ฐ€ ์Šฌ๋ผ์ด๋”์™€ ํ•จ๊ป˜ ์ด๋™ํ•ฉ๋‹ˆ๋‹ค. 

์ด๋Ÿฌํ•œ ๊ธฐ๋Šฅ์€ ๋‹ค์–‘ํ•œ ๋‹จ๊ณ„, ์ผ์ •, ์ด๋™, ์ฒ˜๋ฆฌ ๋ฐ ์กฐ๋ฆฝ ๋‹จ๊ณ„๋ฅผ ๋ณด์—ฌ์ฃผ๋Š” ๊น”๋”ํ•˜๊ณ  ์ง๊ด€์ ์ธ ํ”„๋กœ์„ธ์Šค ๊ฐœ์š”๋ฅผ ์ œ๊ณตํ•˜๋Š” ์ƒˆ๋กœ์šด Thermal Die Cycling ๋Œ€ํ™” ์ƒ์ž๋ฅผ ํ†ตํ•ด ์ œ์–ด๋ฉ๋‹ˆ๋‹ค.

FLOW-3D CAST์˜ ์—ด ๋‹ค์ด ์‚ฌ์ดํด๋ง ๋Œ€ํ™”์ƒ์ž
FLOW-3D CAST ์˜ ์ƒˆ๋กœ์šด Thermal Die Cycling ๋Œ€ํ™” ์ƒ์ž

์ด๋Ÿฌํ•œ ๊ฐœ๋ฐœ์€ ๊ฐœ์„ ๋œ ์—ด ์†”๋ฃจ์…˜๋ฟ๋งŒ ์•„๋‹ˆ๋ผ TDC์™€ ๊ด€๋ จ๋œ ๊ณต์ •์˜ ์‘๊ณ  ๋ฐ ๋‚ฉ๋•œ์— ๋Œ€ํ•œ ๋” ๋‚˜์€ ์˜ˆ์ธก์„ ์ด‰์ง„ํ•ฉ๋‹ˆ๋‹ค.

FLOW-3D CAST 2023R1 ์˜ ์ƒˆ๋กœ์šด ๊ธฐ๋Šฅ

FLOW-3D ์†Œํ”„ํŠธ์›จ์–ด ์ œํ’ˆ๊ตฐ์˜ ๋ชจ๋“  ์ œํ’ˆ์€ 2023R1์—์„œ IT ๊ด€๋ จ ๊ฐœ์„  ์‚ฌํ•ญ์„ ๋ฐ›์•˜์Šต๋‹ˆ๋‹ค. 

FLOW-3D CAST 2023R1์€ ์ด์ œ Windows 11 ๋ฐ RHEL 8์„ ์ง€์›ํ•ฉ๋‹ˆ๋‹ค. Linux ์„ค์น˜ ํ”„๋กœ๊ทธ๋žจ์€ ๋ˆ„๋ฝ๋œ ์ข…์†์„ฑ์„ ๋ณด๊ณ ํ•˜๋„๋ก ๊ฐœ์„ ๋˜์—ˆ์œผ๋ฉฐ ๋” ์ด์ƒ ๋ฃจํŠธ ์ˆ˜์ค€ ๊ถŒํ•œ์ด ํ•„์š”ํ•˜์ง€ ์•Š์œผ๋ฏ€๋กœ ์„ค์น˜๊ฐ€ ๋” ์‰ฝ๊ณ  ์•ˆ์ „ํ•ด์ง‘๋‹ˆ๋‹ค. ๊ทธ๋ฆฌ๊ณ  ์›Œํฌํ”Œ๋กœ๋ฅผ ์ž๋™ํ™”ํ•œ ๋ถ„๋“ค์„ ์œ„ํ•ด ์ž…๋ ฅ ํŒŒ์ผ ๋ณ€ํ™˜๊ธฐ์— ๋ช…๋ น์ค„ ์ธํ„ฐํŽ˜์ด์Šค๋ฅผ ์ถ”๊ฐ€ํ•˜์—ฌ ์Šคํฌ๋ฆฝํŠธ ํ™˜๊ฒฝ์—์„œ๋„ ์›Œํฌํ”Œ๋กœ๊ฐ€ ์—…๋ฐ์ดํŠธ๋œ ์ž…๋ ฅ ํŒŒ์ผ๋กœ ์ž‘๋™ํ•˜๋Š”์ง€ ํ™•์ธํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

FLOW-3D CAST 2023R1 ์˜ ๊ณ ๊ธ‰ ๊ธฐ๋Šฅ์„ ํ†ตํ•ด ์‚ฌ์šฉ์ž๋Š” ๋‹ค์Œ์„ ์ˆ˜ํ–‰ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

  • ๊ธฐ๊ฐ€์บ์ŠคํŒ… ์ œ์ž‘ ์‹œ ๋“ฑ ์ƒท ์„ฑ๋Šฅ ์ตœ์ ํ™”
  • ํˆด๋ง ๋งˆ๋ชจ ํ•ด๊ฒฐ
  • ๊ณ ๊ธ‰ ํƒ„์†Œ๊ฐ• ๋ฐ ์ €ํ•ฉ๊ธˆ๊ฐ• ์ฃผ์กฐ ์‹œ๋ฎฌ๋ ˆ์ด์…˜
  • ๊ฑฐ์‹œ์  ๋ถ„๋ฆฌ์˜ ํšจ๊ณผ๋ฅผ ์„ค๋ช…ํ•ฉ๋‹ˆ๋‹ค.

ํ”Œ๋Ÿฐ์ € ๋ชจ์…˜ ๊ฐœ์„ 

์šฐ๋ฆฌ๋Š” ์Šฌ๋กœ์šฐ ์ƒท ๊ณ„์‚ฐ๊ธฐ๋ฅผ ๊ฐœ์„ ํ•˜์—ฌ ์ •ํ™•์„ฑ์„ ๋†’์ด๊ณ , ๊ณต๊ธฐ ํ˜ผ์ž…์„ ์ค„์ด๋ฉฐ, ๋‚ฎ์€ ์ถฉ์ „ ์ˆ˜์ค€์„ ๋” ์ž˜ ์ฒ˜๋ฆฌํ•  ์ˆ˜ ์žˆ๋„๋ก ์œ ํšจ์„ฑ ๋ฒ”์œ„๋ฅผ ํ™•์žฅํ–ˆ์Šต๋‹ˆ๋‹ค. ๋˜ํ•œ ์‚ฌ์šฉ์ž ์ธํ„ฐํŽ˜์ด์Šค๋ฅผ ๊ฐ„์†Œํ™”ํ–ˆ์œผ๋ฉฐ ํ–ฅ์ƒ๋œ ์Šฌ๋กœ์šฐ ์ƒท ๊ณ„์‚ฐ๊ธฐ์™€ ๊ฒฐํ•ฉํ•˜์—ฌ ์ธ์ƒ์ ์ธ ๊ฒฐ๊ณผ๋ฅผ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค. ์ด์ œ ํ”Œ๋Ÿฐ์ € ์œ„์น˜ ๋˜๋Š” ์‹œ๊ฐ„ ๊ธฐ๋ฐ˜ ์ •์˜์—์„œ ์Šฌ๋กœ์šฐ ์ƒท ๊ณ„์‚ฐ๊ธฐ์˜ ๋ฐ์ดํ„ฐ๋ฅผ ์‰ฝ๊ฒŒ ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์ƒˆ๋กœ์šด ๊ณ„์‚ฐ๊ธฐ๋Š” ๋˜ํ•œ ์Šฌ๋กœ์šฐ ์ƒท์ด ๋๋‚  ๋•Œ ํ˜ผ์ž…๋˜๋Š” ๊ณต๊ธฐ๋ฅผ ํฌ๊ฒŒ ์ค„์ด๋Š” ์„ธ๋ จ๋œ ์ƒท ํ”„๋กœํ•„์„ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค.

์Šฌ๋กœ์šฐ ์ƒท ๊ณ„์‚ฐ๊ธฐ ๊ฐœ์„ 
2007๋…„ ์Šฌ๋กœ์šฐ ์ƒท ๊ณ„์‚ฐ๊ธฐ์™€ 2022๋…„ ๋ฒ„์ „ ๋น„๊ต. ์Šฌ๋กœ์šฐ ์ƒท์ด ๋๋‚˜๋ฉด ์ƒˆ ๊ณ„์‚ฐ๊ธฐ๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ๋™๋ฐ˜ ๊ณต๊ธฐ๋Ÿ‰์ด ๊ฐ์†Œํ•˜๋Š” ๊ฒƒ์„ ํ™•์ธํ•˜์‹ญ์‹œ์˜ค.

ํ™•์žฅ๋œ PQ 2 ๋ถ„์„

๋Œ€ํ˜• ์ฃผ์กฐ๋Š” ๊ณ„์‚ฐ ๋น„์šฉ์ด ๋งŽ์ด ๋“ค๊ณ  ๊ธฐ๊ฐ€ ์ฃผ์กฐ๋Š” ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ์†Œํ”„ํŠธ์›จ์–ด๋ฅผ ํ•œ๊ณ„๊นŒ์ง€ ๋ฐ€์–ด๋ถ™์ผ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์†๋„ ๊ฒฝ๊ณ„ ์กฐ๊ฑด์ด๋‚˜ ๊ธˆ์† ์ž…๋ ฅ์„ ์‚ฌ์šฉํ•˜์—ฌ ์ƒท ์Šฌ๋ฆฌ๋ธŒ์™€ ํ”Œ๋Ÿฐ์ €๋ฅผ ๊ทผ์‚ฌํ™”ํ•˜๋Š” ๊ฒƒ์€ ๋Ÿฐํƒ€์ž„์„ ์ค„์ด๋Š” ์œ ์šฉํ•œ ๋‹จ์ˆœํ™” ๋ฐฉ๋ฒ•์ž…๋‹ˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ PQ 

2 ๋ถ„์„ ์—†์ด๋Š” HPDC ๊ธฐ๊ณ„๊ฐ€ ํ•œ๊ณ„์— ๊ฐ€๊น๊ฒŒ ์ž‘๋™ํ•˜๊ณ  ์˜ˆ์ƒ๋Œ€๋กœ ์ž‘๋™ํ•˜์ง€ ์•Š์•„ ๋ถ€ํ’ˆ ํ’ˆ์งˆ์„ ์œ„ํ˜‘ํ•˜๋Š”์ง€ ์•Œ ์ˆ˜ ์—†์Šต๋‹ˆ๋‹ค. 

์šฐ๋ฆฌ๋Š” ๋งค์šฐ ์œ ๋Šฅํ•œ PQ 2 ๋ถ„์„์„ ์ˆ˜ํ–‰ ํ•˜๊ณ  ์ด๋ฅผ ๊ธˆ์† ์ž…๋ ฅ ๋ฐ ์†๋„ ๊ฒฝ๊ณ„ ์กฐ๊ฑด์— ์ ์šฉํ•˜์—ฌ ์ด ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ–ˆ์Šต๋‹ˆ๋‹ค. ์ด๋Š” ๊ฐ€์žฅ ํฌ๊ณ  ๊ฐ€์žฅ ๋ณต์žกํ•œ ์ฃผ์กฐ์—์„œ๋„ ์ถฉ์ „ ์ •ํ™•๋„๋ฅผ ์œ ์ง€ํ•˜๋ฉด์„œ ์ฒ˜๋ฆฌ ์‹œ๊ฐ„์„ ํฌ๊ฒŒ ์ค„์ด๋Š” ๊ฒƒ์„ ์˜๋ฏธํ•ฉ๋‹ˆ๋‹ค.

Mold Erosion Prediction | FLOW-3D CAST

์ฃผ์กฐ ๊ธˆํ˜•๊ณผ ๋‹ค์ด๋Š” ๊ธฐ๊ณ„์  ์ŠคํŠธ๋ ˆ์Šค ์š”์ธ์„ ํฌํ•จํ•œ ๋‹ค์–‘ํ•œ ์ด์œ ๋กœ ๋งˆ๋ชจ๋ฉ๋‹ˆ๋‹ค. ๊ธฐ์กด ์ „๋‹จ ํ•˜์ค‘ ์ธก์ •๋ฒ•์€ ์ด ๋งˆ๋ชจ๋ฅผ ์—ฐ๊ตฌํ•  ๋•Œ ๋„์›€์ด ๋˜์ง€๋งŒ ์ง€๊ธˆ๊นŒ์ง€๋Š” ๊ธˆํ˜•์— ๋Œ€ํ•œ ๊ธˆ์†์˜ ์ถฉ๋Œ์„ ์„ค๋ช…ํ•˜์ง€ ๋ชปํ–ˆ๊ณ  ๋ชจ๋ž˜ ์ฃผ์กฐ ๊ธˆํ˜•์— ํฌํ•จ๋œ ๋ชจ๋ž˜์˜ ์ตœ์ข… ์œ„์น˜๋ฅผ ์˜ˆ์ธกํ•  ์ˆ˜ ์—†์—ˆ์Šต๋‹ˆ๋‹ค. ์ด ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•˜๊ธฐ ์œ„ํ•ด ์šฐ๋ฆฌ๋Š” ์ด ๋งˆ๋ชจ ๋ฉ”์ปค๋‹ˆ์ฆ˜์„ ๋” ์ž˜ ์ดํ•ดํ•  ์ˆ˜ ์žˆ๋„๋ก ์ƒˆ๋กœ์šด ์ถœ๋ ฅ์„ ์ถ”๊ฐ€ํ–ˆ์Šต๋‹ˆ๋‹ค. ์ƒˆ๋กœ์šด ์ถœ๋ ฅ์—๋Š” ์ด๋Ÿฌํ•œ ์œ ํ˜•์˜ ์นจ์‹์ด ๋ฐœ์ƒํ•  ๊ฐ€๋Šฅ์„ฑ์ด ์žˆ๋Š” ์ง€์—ญ๊ณผ ๋ชจ๋ž˜ ํ•จ์œ ๋ฌผ์˜ ์˜ˆ์ƒ ์œ„์น˜๊ฐ€ ํ‘œ์‹œ๋ฉ๋‹ˆ๋‹ค.

๋‹ค์ด ์†”๋”๋ง ์˜ˆ์ธก

์•Œ๋ฃจ๋ฏธ๋Š„ ์ฃผ์กฐ์— ์‚ฌ์šฉ๋˜๋Š” ์˜๊ตฌ ๋‹ค์ด๋Š” ์šฉ์œต๋œ ์•Œ๋ฃจ๋ฏธ๋Š„์ด ๋‹ค์ด์˜ ์ฒ ๊ณผ ๊ฒฐํ•ฉํ•˜์—ฌ ํ™”ํ•™์  ๋งˆ๋ชจ๋ฅผ ๊ฒช๊ฒŒ ๋˜๋ฉฐ, ์ด๋Š” ๋ถ€ํ’ˆ ํ’ˆ์งˆ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ๋‹ค์ด์˜ ์ˆ˜๋ช…๊ณผ ์œ ์ง€ ๊ด€๋ฆฌ ์š”๊ตฌ ์‚ฌํ•ญ์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ๋•œ๋‚ฉ์„ ํ˜•์„ฑํ•ฉ๋‹ˆ๋‹ค. ์ด ๋งˆ๋ชจ ๋ฉ”์ปค๋‹ˆ์ฆ˜์˜ ์ค‘์š”์„ฑ์œผ๋กœ ์ธํ•ด ์šฐ๋ฆฌ๋Š” ๋‚ฉ๋•œ์˜ ์œ„์น˜์™€ ์‹ฌ๊ฐ๋„๋ฅผ ๋ชจ๋‘ ์˜ˆ์ธกํ•˜๋Š” ๋ชจ๋ธ์„ ๊ตฌ์ถ•ํ•˜๊ฒŒ ๋˜์—ˆ์Šต๋‹ˆ๋‹ค.

๋‹ค์ด ์†”๋”๋ง ์‹œ๋ฎฌ๋ ˆ์ด์…˜
์‹œ๋ฎฌ๋ ˆ์ด์…˜๋œ ์†”๋”(์™ผ์ชฝ)์™€ ๊ด€์ฐฐ๋œ ์†”๋”(์˜ค๋ฅธ์ชฝ, ๋นจ๊ฐ„์ƒ‰). ์‚ฌ์ง„์€ ๋‹ค์ด์— ๊ด€ํ•œ ๊ฒƒ์ด์ง€๋งŒ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์—์„œ๋Š” ๋ถ€ํ’ˆ์„ ๋ณด์—ฌ์ฃผ๊ธฐ ๋•Œ๋ฌธ์— ์ด๋ฏธ์ง€๊ฐ€ ๊ฑฐ์šธ์ฒ˜๋Ÿผ ๋ณด์ž…๋‹ˆ๋‹ค.

ํ™”ํ•™ ๊ธฐ๋ฐ˜ ํƒ„์†Œ ๋ฐ ์ €ํ•ฉ๊ธˆ๊ฐ• ์‘๊ณ  ๋ชจ๋ธ

์šฐ๋ฆฌ์˜ ์žฅ๊ธฐ ๊ฐœ๋ฐœ ๋ชฉํ‘œ ์ค‘ ํ•˜๋‚˜์˜ ๊ฒฐ๊ณผ๋Š” ์„์ถœ ๋ฐ˜์‘, ์‘๊ณ  ๋ฐ ์žฌ์šฉํ•ด ๊ฒฝ๋กœ, ๋ฏธ์„ธ ๊ตฌ์กฐ ํŠน์ง• ๋ฐ ๊ฒฐํ•จ์„ ์ •ํ™•ํ•˜๊ฒŒ ์„ค๋ช…ํ•˜๋Š” ํƒ„์†Œ๊ฐ• ๋ฐ ์ €ํ•ฉ๊ธˆ๊ฐ•์— ๋Œ€ํ•œ ๊ฐ•๋ ฅํ•œ ํ™”ํ•™ ๊ธฐ๋ฐ˜ ์‘๊ณ  ๋ชจ๋ธ ์ž…๋‹ˆ๋‹ค. ์ด ๋ชจ๋ธ์€ ๋˜ํ•œ ์ค‘์š”ํ•œ 3์ƒ ํฌ์ •๋ฐ˜์‘๊ณผ ๋ธํƒ€ ํŽ˜๋ผ์ดํŠธ์—์„œ ์˜ค์Šคํ…Œ๋‚˜์ดํŠธ๋กœ์˜ ์ „์ด๋กœ ์ธํ•œ ๋Œ€๋Ÿ‰ ์ˆ˜์ถ•๊ณผ ๊ด€๋ จ๋œ ๊ฒฐํ•จ์„ ์„ค๋ช…ํ•ฉ๋‹ˆ๋‹ค.

์ด ๋ชจ๋ธ์€ ์‹คํ—˜๊ณผ์˜ ํƒ์›”ํ•œ ์ผ์น˜๋ฅผ ๋ณด์—ฌ์ฃผ๋ฉฐ, ์˜ˆ๋ฅผ ๋“ค์–ด ๊ณผํฌ์ • ํ•ฉ๊ธˆ์ด ์‘๊ณ ๊ฐ€ ๋๋‚  ๋•Œ ํŽ˜๋ผ์ดํŠธ ์˜์—ญ์„ ๊ฐœ๋ฐœํ•  ์ˆ˜ ์žˆ๋Š” ์ด์œ ์™€ ๊ฐ™์€ ๋น„์ง๊ด€์ ์ด๊ณ  ์‹œ๊ฐ„ ์˜์กด์ ์ธ ๋™์ž‘์— ๋Œ€ํ•œ ํ†ต์ฐฐ๋ ฅ์„ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค.

์ˆ˜์ถ• ์˜ˆ์ธก ๊ฒ€์ฆ

๊ฑฐ์‹œ ๋ถ„๋ฆฌ ์˜ˆ์ธก

๋Œ€๊ทœ๋ชจ ๋ถ„๋ฆฌ๋Š” ์ฃผ์กฐํ’ˆ์˜ ํ’ˆ์งˆ๊ณผ ๋‹ค์šด์ŠคํŠธ๋ฆผ ์ฒ˜๋ฆฌ์— ์ค‘์š”ํ•œ ์˜ํ–ฅ์„ ๋ฏธ์น  ์ˆ˜ ์žˆ์œผ๋ฏ€๋กœ ์ด๋ฅผ ํ™”ํ•™ ๊ธฐ๋ฐ˜ ์‘๊ณ  ๋ชจ๋ธ์— ์ถ”๊ฐ€ํ–ˆ์Šต๋‹ˆ๋‹ค. ์ด ๋ชจ๋ธ์€ ๋งคํฌ๋กœ ๋ถ„๋ฆฌ ๊ด€๋ จ ๊ฒฐํ•จ์ด ๋ฐœ์ƒํ•  ์ˆ˜ ์žˆ๋Š” ์œ„์น˜๋ฅผ ์˜ˆ์ธกํ•˜๋ฏ€๋กœ ์บ์ŠคํŒ… ์ „์— ์ด๋ฅผ ์˜ˆ์ธกํ•˜๊ณ  ์™„ํ™”ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๋Œ€ ์‹คํ—˜ ๊ฐ•์ฒ  ์ฃผ์กฐ
๊ฐ•์ฒ  ์ฃผ์กฐ์— ๋Œ€ํ•œ ์‹คํ—˜๊ณผ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฒฐ๊ณผ๋ฅผ ๋น„๊ตํ•ฉ๋‹ˆ๋‹ค. WT Adams, Jr. ๋ฐ KW Murphy, “์ฃผ๊ฐ• ์ฃผ๋ฌผ์—์„œ ๋ผ์ด์ € ์•„๋ž˜์˜ ์‹ฌ๊ฐํ•œ ํ™”ํ•™ ๋ฌผ์งˆ ๋ถ„๋ฆฌ๋ฅผ ๋ฐฉ์ง€ํ•˜๊ธฐ ์œ„ํ•œ ์ตœ์ ์˜ ์™„์ „ ์ ‘์ด‰ ์ƒ๋‹จ ๋ผ์ด์ €”, AFS Trans., 88(1980), pp. 389-404

FLOW-3D CAST 2022R2 ์˜ ์ƒˆ๋กœ์šด ๊ธฐ๋Šฅ

FLOW-3D CAST 2022R2 ์ œํ’ˆ๊ตฐ ์ถœ์‹œ๋กœ Flow Science๋Š” FLOW-3D CAST ์˜ ์›Œํฌ์Šคํ…Œ์ด์…˜๊ณผ HPC ๋ฒ„์ „์„ ํ†ตํ•ฉํ•˜์—ฌ ๋‹จ์ผ ๋…ธ๋“œ CPU ๊ตฌ์„ฑ์—์„œ ๋‹ค์ค‘ ๋…ธ๋“œ ๋ณ‘๋ ฌ ๊ณ ์„ฑ๋Šฅ ์ปดํ“จํŒ… ์‹คํ–‰. ์ถ”๊ฐ€ ๊ฐœ๋ฐœ์—๋Š” ์ ํƒ„์„ฑ ํ๋ฆ„์„ ์œ„ํ•œ ์ƒˆ๋กœ์šด ๋กœ๊ทธ ํ˜•ํƒœ ํ…์„œ ๋ฐฉ๋ฒ•, ์ง€์†์ ์ธ ์†”๋ฒ„ ์†๋„ ์„ฑ๋Šฅ ๊ฐœ์„ , ๊ณ ๊ธ‰ ๋ƒ‰๊ฐ ์ฑ„๋„ ๋ฐ ํŒฌํ…€ ๊ตฌ์„ฑ์š”์†Œ ์ œ์–ด, ๊ฐœ์„ ๋œ ๋™๋ฐ˜ ๊ณต๊ธฐ ๊ธฐ๋Šฅ์ด ํฌํ•จ๋ฉ๋‹ˆ๋‹ค.

ํ†ตํ•ฉ ์†”๋ฒ„

์šฐ๋ฆฌ๋Š”  FLOW-3D ์ œํ’ˆ์„ ๋‹จ์ผ ํ†ตํ•ฉ ์†”๋ฒ„๋กœ ๋งˆ์ด๊ทธ๋ ˆ์ด์…˜ํ•˜์—ฌ ๋กœ์ปฌ ์›Œํฌ์Šคํ…Œ์ด์…˜์ด๋‚˜ ๊ณ ์„ฑ๋Šฅ ์ปดํ“จํŒ… ํ•˜๋“œ์›จ์–ด ํ™˜๊ฒฝ์—์„œ ์›ํ™œํ•˜๊ฒŒ ์‹คํ–‰ํ–ˆ์Šต๋‹ˆ๋‹ค.

๋งŽ์€ ์‚ฌ์šฉ์ž๊ฐ€ ๋…ธํŠธ๋ถ์ด๋‚˜ ๋กœ์ปฌ ์›Œํฌ์Šคํ…Œ์ด์…˜์—์„œ ๋ชจ๋ธ์„ ์‹คํ–‰ํ•˜์ง€๋งŒ, ๊ณ ์„ฑ๋Šฅ ์ปดํ“จํŒ… ํด๋Ÿฌ์Šคํ„ฐ์—์„œ๋„ ๋” ํฐ ๋ชจ๋ธ์„ ์‹คํ–‰ํ•ฉ๋‹ˆ๋‹ค. 2022R2 ๋ฆด๋ฆฌ์Šค์—์„œ๋Š” ํ†ตํ•ฉ ์†”๋ฒ„๋ฅผ ํ†ตํ•ด ์‚ฌ์šฉ์ž๊ฐ€ HPC ์†”๋ฃจ์…˜์˜ OpenMP/MPI ํ•˜์ด๋ธŒ๋ฆฌ๋“œ ๋ณ‘๋ ฌํ™”์™€ ๋™์ผํ•œ ์ด์ ์„ ํ™œ์šฉํ•˜์—ฌ ์›Œํฌ์Šคํ…Œ์ด์…˜๊ณผ ๋…ธํŠธ๋ถ์—์„œ ์‹คํ–‰ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

์„ฑ๋Šฅ ํ™•์žฅ์˜ ์˜ˆ
์ฆ๊ฐ€ํ•˜๋Š” CPU ์ฝ”์–ด ์ˆ˜๋ฅผ ์‚ฌ์šฉํ•œ ์„ฑ๋Šฅ ํ™•์žฅ์˜ ์˜ˆ
๋ฉ”์‰ฌ ๋ถ„ํ•ด์˜ ์˜ˆ
OpenMP/MPI ํ•˜์ด๋ธŒ๋ฆฌ๋“œ ๋ณ‘๋ ฌํ™”๋ฅผ ์œ„ํ•œ ๋ฉ”์‹œ ๋ถ„ํ•ด์˜ ์˜ˆ

์†”๋ฒ„ ์„ฑ๋Šฅ ๊ฐœ์„ 

๋ฉ€ํ‹ฐ ์†Œ์ผ“ ์›Œํฌ์Šคํ…Œ์ด์…˜

๋‹ค์ค‘ ์†Œ์ผ“ ์›Œํฌ์Šคํ…Œ์ด์…˜์€ ์ด์ œ ๋งค์šฐ ์ผ๋ฐ˜์ ์ด๋ฉฐ ๋Œ€๊ทœ๋ชจ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ์‹คํ–‰ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์ƒˆ๋กœ์šด ํ†ตํ•ฉ ์†”๋ฒ„๋ฅผ ์‚ฌ์šฉํ•˜๋ฉด ์ด๋Ÿฌํ•œ ์œ ํ˜•์˜ ํ•˜๋“œ์›จ์–ด๋ฅผ ์‚ฌ์šฉํ•˜๋Š” ์‚ฌ์šฉ์ž๋Š” ์ผ๋ฐ˜์ ์œผ๋กœ HPC ํด๋Ÿฌ์Šคํ„ฐ ๊ตฌ์„ฑ์—์„œ๋งŒ ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ์—ˆ๋˜ OpenMP/MPI ํ•˜์ด๋ธŒ๋ฆฌ๋“œ ๋ณ‘๋ ฌํ™”๋ฅผ ํ™œ์šฉํ•˜์—ฌ ๋ชจ๋ธ์„ ์‹คํ–‰ํ•  ์ˆ˜ ์žˆ์–ด ์„ฑ๋Šฅ์ด ํ–ฅ์ƒ๋˜๋Š” ๊ฒƒ์„ ํ™•์ธํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

๋‚ฎ์€ ์ˆ˜์ค€์˜ ๋ฃจํ‹ด์œผ๋กœ ํ–ฅ์ƒ๋œ ๋ฒกํ„ฐํ™” ๋ฐ ๋ฉ”๋ชจ๋ฆฌ ์•ก์„ธ์Šค

๋Œ€๋ถ€๋ถ„์˜ ํ…Œ์ŠคํŠธ ์‚ฌ๋ก€์—์„œ 10~20% ์ •๋„์˜ ์„ฑ๋Šฅ ํ–ฅ์ƒ์ด ๊ด€์ฐฐ๋˜์—ˆ์œผ๋ฉฐ ์ผ๋ถ€ ์‚ฌ๋ก€์—์„œ๋Š” 20%๋ฅผ ์ดˆ๊ณผํ•˜๋Š” ๋Ÿฐํƒ€์ž„ ์ด์ ์ด ๋‚˜ํƒ€๋‚ฌ์Šต๋‹ˆ๋‹ค.

์ •์ œ๋œ ์ฒด์  ๋Œ€๋ฅ˜ ์•ˆ์ •์„ฑ ํ•œ๊ณ„

์‹œ๊ฐ„ ๋‹จ๊ณ„ ์•ˆ์ •์„ฑ ์ œํ•œ์€ ๋ชจ๋ธ ๋Ÿฐํƒ€์ž„์˜ ์ฃผ์š” ๋™์ธ์ด๋ฉฐ, 2022R2์—์„œ๋Š” ์ƒˆ๋กœ์šด ์‹œ๊ฐ„ ๋‹จ๊ณ„ ์•ˆ์ •์„ฑ ์ œํ•œ์ธ 3D ๋Œ€๋ฅ˜ ์•ˆ์ •์„ฑ ์ œํ•œ์„ ์ˆซ์ž ์œ„์ ฏ์—์„œ ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์‹คํ–‰ ์ค‘์ด๊ณ  ๋Œ€๋ฅ˜๊ฐ€ ์ œํ•œ๋œ(cx, cy ๋˜๋Š” cz ์ œํ•œ) ๋ชจ๋ธ์˜ ๊ฒฝ์šฐ ์ƒˆ ์˜ต์…˜์€ ์ผ๋ฐ˜์ ์ธ ์†๋„ ํ–ฅ์ƒ์„ 30% ์ •๋„ ๋ณด์—ฌ์ค๋‹ˆ๋‹ค.

์••๋ ฅ ์†”๋ฒ„ ํ”„๋ฆฌ์ปจ๋””์…”๋„ˆ

๊ฒฝ์šฐ์— ๋”ฐ๋ผ ๊นŒ๋‹ค๋กœ์šด ํ๋ฆ„ ๊ตฌ์„ฑ์˜ ๊ฒฝ์šฐ ๊ณผ๋„ํ•œ ์••๋ ฅ ์†”๋ฒ„ ๋ฐ˜๋ณต์œผ๋กœ ์ธํ•ด ์‹คํ–‰ ์‹œ๊ฐ„์ด ๊ธธ์–ด์งˆ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์ด๋Ÿฌํ•œ ์–ด๋ ค์šด ๊ฒฝ์šฐ 2022R2์—์„œ๋Š” ๋ชจ๋ธ์ด ๋„ˆ๋ฌด ๋งŽ์ด ๋ฐ˜๋ณต๋˜๋ฉด FLOW-3D๊ฐ€ ์ž๋™์œผ๋กœ ์ƒˆ๋กœ์šด ์‚ฌ์ „ ์กฐ์ ˆ๊ธฐ๋ฅผ ํ™œ์„ฑํ™”ํ•˜์—ฌ ์••๋ ฅ ์ˆ˜๋ ด์„ ๋•์Šต๋‹ˆ๋‹ค. ํ…Œ์ŠคํŠธ์˜ ๋Ÿฐํƒ€์ž„์€ 1.9์—์„œ 335๊นŒ์ง€ ๋” ๋นจ๋ผ์กŒ์Šต๋‹ˆ๋‹ค!

์ ํƒ„์„ฑ ์œ ์ฒด์— ๋Œ€ํ•œ ๋กœ๊ทธ ํ˜•ํƒœ ํ…์„œ ๋ฐฉ๋ฒ•

์ ํƒ„์„ฑ ์œ ์ฒด์— ๋Œ€ํ•œ ์ƒˆ๋กœ์šด ์†”๋ฒ„ ์˜ต์…˜์„ ์‚ฌ์šฉ์ž๊ฐ€ ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ์œผ๋ฉฐ ํŠนํžˆ ๋†’์€ Weissemberg ์ˆ˜์— ํšจ๊ณผ์ ์ž…๋‹ˆ๋‹ค.

ํ™œ์„ฑ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ์ œ์–ด ํ™•์žฅ

๋Šฅ๋™ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ์ œ์–ด ๊ธฐ๋Šฅ์ด ํ™•์žฅ๋˜์–ด ์—ฐ์† ์ฃผ์กฐ ๋ฐ ์ ์ธต ์ œ์กฐ ์‘์šฉ ๋ถ„์•ผ์— ์ผ๋ฐ˜์ ์œผ๋กœ ์‚ฌ์šฉ๋˜๋Š” ํŒฌํ…€ ๊ฐœ์ฒด๋Š” ๋ฌผ๋ก  ์ฃผ์กฐ ๋ฐ ๊ธฐํƒ€ ์—ฌ๋Ÿฌ ์—ด ๊ด€๋ฆฌ ์‘์šฉ ๋ถ„์•ผ์— ์‚ฌ์šฉ๋˜๋Š” ๋ƒ‰๊ฐ ์ฑ„๋„์—๋„ ์‚ฌ์šฉ๋ฉ๋‹ˆ๋‹ค.

ํŒฌํ…€ ๋ฌผ์ฒด ์†๋„ ์ œ์–ด์˜ ์˜ˆ
์—ฐ์† ์ฃผ์กฐ ์‘์šฉ ๋ถ„์•ผ์— ๋Œ€ํ•œ ๊ฐ€์ƒ ๋ฌผ์ฒด ์†๋„ ์ œ์–ด์˜ ์˜ˆ
๋™์  ์—ด ์ œ์–ด์˜ ์˜ˆ
์œตํ•ฉ ์ฆ์ฐฉ ๋ชจ๋ธ๋ง ์• ํ”Œ๋ฆฌ์ผ€์ด์…˜์„ ์œ„ํ•œ ๋™์  ์—ด ์ œ์–ด์˜ ์˜ˆ
๋™์  ๋ƒ‰๊ฐ ์ฑ„๋„ ์ œ์–ด์˜ ์˜ˆ
์‚ฐ์—…์šฉ ํƒฑํฌ ์ ์šฉ์„ ์œ„ํ•œ ๋™์  ๋ƒ‰๊ฐ ์ฑ„๋„ ์ œ์–ด์˜ ์˜ˆ

FLOW-3D CAST ์•„์นด์ด๋ธŒ ์˜ ์ƒˆ๋กœ์šด ๊ธฐ๋Šฅ

FLOW-3D CAST๋Š” ๋‹ค์–‘ํ•œ ๊ธˆ์† ์ฃผ์กฐ ํ•ด์„์ด ๊ฐ€๋Šฅํ•œ ์™„๋ฒฝํ•œ ์—ด์œ ๋™ ํ•ด์„ ํ”„๋กœ๊ทธ๋žจ์œผ๋กœ, ๋งค์šฐ ์ •ํ™•ํ•œ ๋ชจ๋ธ๋ง๊ณผ ๋‹ค๊ธฐ๋Šฅ์„ฑ, ์‚ฌ์šฉ ์šฉ์ด์„ฑ ๋ฐ ๊ณ ์„ฑ๋Šฅ ํด๋ผ์šฐ๋“œ ์ปดํ“จํŒ… ๊ธฐ๋Šฅ์„ ๊ฒฐํ•ฉํ•œ ์ตœ์ฒจ๋‹จ ๊ธˆ์† ์ฃผ์กฐ ํ•ด์„ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ํ”Œ๋žซํผ์ž…๋‹ˆ๋‹ค. ๋ชจ๋“  ๊ธˆ์† ์ฃผ์กฐ ๊ณต์ •์— ๋Œ€ํ•ด FLOW-3D CAST๋Š”  ๋น ๋ฅด๊ณ  ์ง๊ด€์ ์ธ ํ•ด์„์ด ๊ฐ€๋Šฅํ•œ ์ž‘์—… ๊ณต๊ฐ„์„ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค. 11๊ฐœ ๊ณต์ •์— ๋Œ€ํ•œ Workspace, ๊ฐ•๋ ฅํ•œ ํ›„์ฒ˜๋ฆฌ, ์ถฉ์ง„ ์˜ˆ์ธก, ์‘๊ณ  ๋ฐ ๊ฒฐํ•จ ๋ถ„์„์„ ํ†ตํ•ด FLOW-3D CAST๋Š” ์ตœ์ ์˜ ์ฃผ์กฐ ์ œํ’ˆ ์„ค๊ณ„์— ํ•„์š”ํ•œ ๋„๊ตฌ์™€ ๋กœ๋“œ๋งต์„ ๋ชจ๋‘ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค.

FLOW-3D Cast๋Š” ๊ฑฐ์˜ ๋ชจ๋“  ์ฃผ์กฐ ๊ณต์ •์„ ๋ชจ๋ธ๋ง ํ•  ์ˆ˜ ์žˆ๋„๋ก ์„ค๊ณ„๋˜์—ˆ์Šต๋‹ˆ๋‹ค. FLOW-3D Cast์˜ ๋งค์šฐ ์ •ํ™•ํ•œ ์œ ๋™ ๋ฐ ์‘๊ณ  ๊ฒฐ๊ณผ๋Š” ํ‘œ๋ฉด ์‚ฐํ™”๋ฌผ, ํ˜ผ์ž…๋œ ๊ณต๊ธฐ, ๋งคํฌ๋กœ ๋ฐ ๋ฏธ์„ธ ๋‹ค๊ณต์„ฑ๊ณผ ๊ฐ™์€ ์ค‘์š”ํ•œ ์ฃผ์กฐ ๊ฒฐํ•จ์„ ํฌ์ฐฉํ•ฉ๋‹ˆ๋‹ค. ๋‹ค๋ฅธ ํŠน๋ณ„ํ•œ ๋ชจ๋ธ๋ง ๊ธฐ๋Šฅ์œผ๋กœ๋Š” ๋กœ๋ด‡ ์Šคํ”„๋ ˆ์ด ๋ƒ‰๊ฐ ๋ฐ ์œคํ™œ, ์ƒท ์Šฌ๋ฆฌ๋ธŒ ํ๋ฆ„ ํ”„๋กœํ•„, ์Šคํ€ด์ฆˆ ํ•€ ๋ฐ ์—ด ์‘๋ ฅ์„ ๋ชจ๋ธ๋ง ํ•  ์ˆ˜์žˆ๋Š” ์—ด ๋‹ค์ด ์‚ฌ์ดํด๋ง์ด ์žˆ์Šต๋‹ˆ๋‹ค.

์ตœ์ ํ™”๋œ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ์„ค๊ณ„๋ฅผ ํ†ตํ•ด ๊ฐœ๋ฐœ ์‹œ๊ฐ„์„ ๋‹จ์ถ•ํ•˜๊ณ  ์ถœ์‹œ ์‹œ๊ฐ„์„ ๋‹จ์ถ•ํ•˜๋ฉฐ ์ˆ˜์œจ์„ ๋†’์ผ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. FLOW-3D CAST๋ฅผ ์‚ฌ์šฉํ•˜๋ฉด ์„ค๊ณ„ ๋ฐ ๊ฐœ๋ฐœ ๋น„์šฉ์„ ์ ˆ๊ฐํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

FLOW-3D CAST Continuous Casting WorkspaceFLOW-3D CAST Gravity Die Casting Workspace
FLOW-3D CAST HPDC WorkspaceFLOW-3D CAST Investment Casting WorkspaceFLOW-3D CAST Low Pressure Sand Casting Workspace
FLOW-3D CAST Low Pressure Die Casting WorkspaceFLOW-3D CAST Sand Casting WorkspaceFLOW-3D CAST Sand Core Making Workspace
Lost Foam CastingFLOW-3D CAST Tilt Pour Casting
HPDC Oxides Simulation | FLOW-3D CAST
BMW Injector Casting Process – Innovative ingate system for gravity casting
Continuous Slab Casting | FLOW-3D CAST
Horizontal Centrifugal Pipe Casting | FLOW-3D CAST

์ฝ”์–ด ๊ฐ€์Šค(Core Gas)

์ฝ”์–ด ๊ฐ€์Šค(Core Gas)

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์ฝ”์–ด๋กœ ์ฃผ์กฐ ๋ชจ๋ธ๋ง (Modeling Castings with Cores)

๋ชจ๋ž˜ ์†์˜ ํ™”ํ•™ ๊ฒฐํ•ฉ์ œ๋Š” ์šฉ์œต ๋œ ๊ธˆ์†์— ์˜ํ•ด ๊ฐ€์—ด ๋  ๋•Œ ๊ฐ€์Šค๋ฅผ ์ƒ์„ฑ ํ•  ์ˆ˜ ์žˆ์œผ๋ฉฐ ์ ์ ˆํ•˜๊ฒŒ ํ™˜๊ธฐ๋˜์ง€ ์•Š์œผ๋ฉด ๊ฐ€์Šค๊ฐ€ ๊ธˆ์†์œผ๋กœ ํ˜๋Ÿฌ ๊ฐ€์Šค์˜ ๋‹ค๊ณต์„ฑ ๊ฒฐํ•จ์ด ๋ฐœ์ƒํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์ด๊ฒƒ์€ ๋น ๋ฅด๊ฒŒ ๊ฐ€์—ด๋˜๊ณ  ๊ธด ํ™˜๊ธฐ ๊ฒฝ๋กœ๋ฅผ ๊ฐ–๋Š” ์ฃผ๋ฌผ์˜ ์–‡์€ ๋‚ด๋ถ€ ํŠน์ง•์„ ํ˜•์„ฑํ•˜๋Š” ์ฝ”์–ด์—์„œ ๊ฐ€์žฅ ๊ฐ€๋Šฅ์„ฑ์ด ๋†’์Šต๋‹ˆ๋‹ค. FLOW-3D CAST์˜ ์ฝ”์–ด ๊ฐ€์Šค ๋ชจ๋ธ์€ ์ด๋Ÿฌํ•œ ๊ฐ€์Šค ๊ฒฐํ•จ์˜ ๊ฐ€๋Šฅ์„ฑ์„ ์˜ˆ์ธกํ•˜๊ณ  ์ฝ”์–ด์—์„œ ๋ชจ๋“  ๊ฐ‡ํžˆ๋Š” ๊ฐ€์Šค๋“ค์„ ์•ˆ์ „ํ•˜๊ฒŒ ๋ฐฐ์ถœ ํ•  ์ˆ˜์žˆ๋Š” ์ฝ”์–ด ๋ฒคํŒ…์„ ์„ค๊ณ„ํ•˜๋Š” ๋ฐ ๋„์›€์ด๋ฉ๋‹ˆ๋‹ค.

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์•Œ๋ฃจ๋ฏธ๋Š„ ๋ฐ ์ฒ  ์ฃผ์กฐ์˜ ๊ฒฐํ•จ ๋ชจ๋ธ๋ง (Modeling Defects in Aluminum and Iron Castings)

‘Core Gas’ ๋ชจ๋ธ์€ ์ฒ  ์ฃผ๋ฌผ (๊ทธ๋ฆผ 1)๊ณผ ์•Œ๋ฃจ๋ฏธ๋Š„ ์ฃผ๋ฌผ (๊ทธ๋ฆผ 2) ๋ชจ๋‘์—์„œ ์ˆ˜์ง€ ๊ฒฐํ•ฉ ์ฝ”์–ด์˜ ๊ฒฐํ•จ์„ ์˜ˆ์ธกํ•ฉ๋‹ˆ๋‹ค. ์ถฉ์ „ ๋ฐ ์‘๊ณ  ๋ชจ๋ธ๊ณผ ๋™์‹œ์— ์ž‘๋™์ด ๊ฐ€๋Šฅํ•˜๋ฉฐ ์ฃผ์กฐ์˜ ์ถฉ์ „ ์ค‘ ๋ฐ ์ถฉ์ „ ํ›„ ๊ฐ‡ํžˆ๋Š” ๊ฐ€์Šค ์ƒ์„ฑ ๋ฐ ํ๋ฆ„์„ ๊ณ„์‚ฐํ•ฉ๋‹ˆ๋‹ค.

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๊ทธ๋ฆผ 1 : ์—ด๋ฆฐ ํ”Œ๋ผ์Šคํฌ ๋ถ€๋ถ„ V8 Al ๋ธ”๋ก ์–ด์…ˆ๋ธ”๋ฆฌ์˜ ์ฑ„์šฐ๊ธฐ. ๋‘ ๊ฐœ์˜ ์ฝ”์–ด๋Š” ๋ธ”๋ก์˜ ์›Œํ„ฐ ์žฌํ‚ท ๊ณต๋™์„ ํ˜•์„ฑํ•ฉ๋‹ˆ๋‹ค. ํ”Œ๋ผ์Šคํฌ ๋ฐ”๋‹ฅ์— Al์ด 20 ์ดˆ ์•ˆ์— ์ฑ„์›Œ์ง‘๋‹ˆ๋‹ค.

๊ทธ๋ฆผ 2 : ํ™˜๊ธฐ๊ฐ€ ๋˜์ง€ ์•Š์„ ๋•Œ ์›Œํ„ฐ ์žฌํ‚ท ์ฝ”์–ด๋Š” ์ถฉ์ „ ์ค‘์— ๊ธˆ์†์— ๊ฐ€์Šค๋ฅผ ๋ถˆ์–ด ๋„ฃ์Šต๋‹ˆ๋‹ค.

FLOW-3D CAST – Metal Casting Simulation Software Video Gallery


FLOW-3D CAST – Metal Casting Simulation Software Video Gallery

FLOW-3D CAST์—๋Š” ์บ์ŠคํŒ…์„ ์œ„ํ•ด ํŠน๋ณ„ํžˆ ์„ค๊ณ„๋œ ๊ด‘๋ฒ”์œ„ํ•˜๊ณ  ๊ฐ•๋ ฅํ•œ ๋ฌผ๋ฆฌ์  ๋ชจ๋ธ์ด ํฌํ•จ๋˜์–ด ์žˆ์Šต๋‹ˆ๋‹ค. ์ด๋Ÿฌํ•œ ํŠน์ˆ˜ ๋ชจ๋ธ์—๋Š” Lost Foam Casting, ๋น„ ๋‰ดํ„ด ์œ ์ฒด ๋ฐ ๋‹ค์ด์— ๋Œ€ํ•œ ์•Œ๊ณ ๋ฆฌ์ฆ˜์ด ํฌํ•จ๋ฉ๋‹ˆ๋‹ค.





ํ™”ํ•™๊ธฐ๋ฐ˜ ์‘๊ณ ๋ชจ๋ธ / chemistry-based solidification

FLOW-3D CAST v5.1์˜ ์ƒˆ๋กœ์šด ์ตœ์ฒจ๋‹จ ํ™”ํ•™ ๊ธฐ๋ฐ˜ ์‘๊ณ  ๋ชจ๋ธ์€ ์—…๊ณ„๋ฅผ ์ฃผ์กฐ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์˜ ๋‹ค์Œ ๊ฐœ์ฒ™์ง€๋กœ ๋ฐœ์ „์‹œ์ผœ ์‚ฌ์šฉ์ž์—๊ฒŒ ์บ์ŠคํŠธ ๋ถ€ํ’ˆ์˜ ๊ฐ•๋„์™€ ๋ฌด๊ฒฐ์„ฑ์„ ์˜ˆ์ธกํ•˜๋Š” ๋™์‹œ์— ์Šคํฌ๋žฉ์„ ์ค„์ด๊ณ  ์ œํ’ˆ ์•ˆ์ „ ๋ฐ ์„ฑ๋Šฅ ์š”๊ตฌ ์‚ฌํ•ญ์„ ์ถฉ์กฑํ•ฉ๋‹ˆ๋‹ค.

์‘๊ณ  ๋ชจ๋ธ ๊ธฐ๋Šฅ

์ƒˆ๋กœ์šด ์‘๊ณ  ๋ชจ๋ธ์€ ํ•ต ์ƒ์„ฑ, ๋ถ„๋ฆฌ ๋ฐ ๋ƒ‰๊ฐ ์กฐ๊ฑด์„ ๊ณ ๋ คํ•œ ์˜จ๋„ ๋ฐ ํ™”ํ•™์˜ ์ง„ํ™”๋กœ๋ถ€ํ„ฐ ์ž ์—ด, ์—ด์ „๋„์œจ, ์—ด์šฉ๋Ÿ‰, ๋ฐ€๋„, ์ ๋„ ๋“ฑ ์‘๊ณ  ๊ฒฝ๋กœ ๋ฐ ์žฌ๋ฃŒ ํŠน์„ฑ์„ ๊ณ„์‚ฐํ•ฉ๋‹ˆ๋‹ค.

์‘๊ณ  ๋ชจ๋ธ์€ SDAS (secondary dendrite arm sapcing) ๋ฐ ์ž…์ž ํฌ๊ธฐ์™€ ๊ฐ™์€ ๊ตฌ์„ฑ ๋ฐ ๋ƒ‰๊ฐ ์กฐ๊ฑด์„ ๊ธฐ๋ฐ˜์œผ๋กœ ๋ฏธ์„ธ ๊ตฌ์กฐ ์ง„ํ™”๋ฅผ ์˜ˆ์ธกํ•ฉ๋‹ˆ๋‹ค. ๋˜ํ•œ ํ™•์‚ฐ ๋ฐ ์ด๋ฅ˜๋กœ ์ธํ•œ ๊ฑฐ์‹œ์  ๋ถ„๋ฆฌ๋ฅผ ์˜ˆ์ธกํ•ฉ๋‹ˆ๋‹ค. ๊ธฐ๊ณ„์  ํŠน์„ฑ๊ณผ ๋ฏธ์„ธ ๊ตฌ์กฐ ๊ฐ„์˜ ๊ฒฝํ—˜์  ๊ด€๊ณ„๋Š” ์‹คํ—˜ ์ธก์ •์„ ๊ธฐ๋ฐ˜์œผ๋กœํ•ฉ๋‹ˆ๋‹ค. ๋…ํŠนํ•˜๊ณ  ๊ฐ•๋ ฅํ•œ ๋ฏธ์„ธ ๊ตฌ์กฐ ๋ฐ ๊ธฐ๊ณ„์  ํŠน์„ฑ ์˜ˆ์ธก ๊ธฐ๋Šฅ์„ ๊ฐ–์ถ˜ ์ƒˆ๋กœ์šด ์‘๊ณ  ๋ชจ๋ธ์€ ๋ฏธ์„ธ ๋‹ค๊ณต์„ฑ ์˜ˆ์ธก์„์œ„ํ•œ ๋ฌด ์ฐจ์› Niyama ๊ธฐ์ค€๊ณผ ๊ฐ™์€ ๋‹ค๋ฅธ ๋ชจ๋ธ์˜ ๊ธฐ๋ฐ˜์„ ๋งˆ๋ จํ•ฉ๋‹ˆ๋‹ค.

์‘๊ณ  ๋ฏธ์„ธ ๊ตฌ์กฐ ๋ฐ ๋‹ค๊ณต์„ฑ ๊ฒฐํ•จ์€ ์ฃผ์กฐ์˜ ๊ธฐ๊ณ„์  ํŠน์„ฑ์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์ฃผ์š” ์š”์ธ์ž…๋‹ˆ๋‹ค. ์ฐจ๋ก€๋กœ ๊ตญ๋ถ€์  ์ธ ๋ฏธ์„ธ ๊ตฌ์กฐ๋Š” ํ•ฉ๊ธˆ์˜ ํ™”ํ•™์  ์กฐ์„ฑ, ์‘๊ณ  ์†๋„ ๋ฐ ํ•ฉ๊ธˆ ์›์†Œ์˜ ๋ถ„๋ฆฌ๋กœ ์ธํ•œ ํ™”ํ•™์  ๋น„๊ท ์งˆ์„ฑ์— ์˜ํ•ด ๊ฒฐ์ •๋ฉ๋‹ˆ๋‹ค. ์ƒˆ๋กœ์šด ์‘๊ณ  ๋ชจ๋ธ์„ ์‚ฌ์šฉํ•˜์—ฌ ๊ณต์ • ์„ค๊ณ„์ž๋Š” ๋‹ค์–‘ํ•œ ๊ณต์ • ๋งค๊ฐœ ๋ณ€์ˆ˜ ๋ฐ ํ•ฉ๊ธˆ ๊ตฌ์„ฑ์ด ๊ธฐ๊ณ„์  ํŠน์„ฑ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ๊ฒฐ์ •ํ•˜์—ฌ ๊ฐ€๋Šฅํ•œ ์ตœ๊ณ  ํ’ˆ์งˆ์˜ ์•ˆ์ „ํ•œ ์ œํ’ˆ์„ ์ƒ์‚ฐํ•˜๊ธฐ ์œ„ํ•ด ์ฃผ์กฐ ์„ฑ๋Šฅ์„ ์ตœ์ ํ™” ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

Solidification of AlSi9Cu3

Aluminium A356

์‘๊ณ  ๋ชจ๋ธ์—๋Š” ์ „์ฒด ๋ชจ๋ธ๊ณผ ๋‹จ์ˆœํ™” ๋œ ๋ชจ๋ธ์ด ๋ชจ๋‘ ํฌํ•จ๋˜์–ด์žˆ์–ด ์‚ฌ์šฉ์ž๊ฐ€ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ์›Œํฌ ํ”Œ๋กœ๋ฅผ ๋” ์ž˜ ์ œ์–ด ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์ „์ฒด ๋ชจ๋ธ์€ ์šฉ์œต๋ฌผ์ด ์‘๊ณ ๋จ์— ๋”ฐ๋ผ ํ™”ํ•™์  ์กฐ์„ฑ๊ณผ ์ƒ ๋ณ€ํ™”๋ฅผ ๊ณ ๋ คํ•˜๋Š” ๋ฐ˜๋ฉด, ๋‹จ์ˆœํ™” ๋œ ๋ชจ๋ธ์€ ๋” ๋น ๋ฅธ ๋Ÿฐํƒ€์ž„์„ ์ œ๊ณตํ•˜๊ณ  ์ „์ฒด ๋ชจ๋ธ๋งŒํผ ๋งŽ์€ ๋ฉ”๋ชจ๋ฆฌ๋ฅผ ํ•„์š”๋กœํ•˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค. ์ „์ฒด ๋ชจ๋ธ์„ ๊ธฐ๋ฐ˜์œผ๋กœ ํ•œ ์žฌ์‹œ์ž‘ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์€ ๋‹จ์ˆœํ™” ๋œ ๋ชจ๋ธ์—์„œ ์‹œ์ž‘ํ•  ์ˆ˜ ์žˆ์œผ๋ฉฐ ๊ทธ ๋ฐ˜๋Œ€์˜ ๊ฒฝ์šฐ๋„ ๋งˆ์ฐฌ๊ฐ€์ง€์ž…๋‹ˆ๋‹ค. ์ด๋Š” ์‹œ๋ฎฌ๋ ˆ์ด์…˜์˜ ์—ฌ๋Ÿฌ ๋‹จ๊ณ„๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ๋‹ค์–‘ํ•œ ์œ ํ˜•์˜ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์— ์ ํ•ฉํ•œ ๋ชจ๋ธ์„ ์‚ฌ์šฉํ•  ์ˆ˜์žˆ๋Š” ์™„๋ฒฝํ•œ ์œ ์—ฐ์„ฑ์„ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค.

๋ฆฌ์†Œ์Šค๋ฅผ ์ ๊ฒŒ ์‚ฌ์šฉํ•œ๋‹ค๋Š” ๋ถ„๋ช…ํ•œ ์ด์ ์ด ์žˆ์œผ๋ฏ€๋กœ ์‚ฌ์šฉ์ž๋Š” ๊ฐ€๋Šฅํ•œ ํ•œ ๋‹จ์ˆœํ™” ๋œ ๋ชจ๋ธ์„ ์‚ฌ์šฉํ•˜๋Š” ๊ฒƒ์ด ์ข‹์Šต๋‹ˆ๋‹ค. ์‚ฌ์šฉ์ž๋Š” ๋งคํฌ๋กœ ๋ถ„๋ฆฌ๊ฐ€ ์ค‘์š”ํ•œ ๊ฒฝ์šฐ ์ „์ฒด ๋ชจ๋ธ์„ ์‚ฌ์šฉํ•˜๋Š” ๊ฒƒ์ด ์ข‹์Šต๋‹ˆ๋‹ค. ์—ด ๋‹ค์ด ์‚ฌ์ดํด๋ง ์‹œ๋ฎฌ๋ ˆ์ด์…˜์˜ ๊ฒฝ์šฐ ์ด๋Ÿฌํ•œ ๋ชจ๋ธ๋ง ์‹œ๋‚˜๋ฆฌ์˜ค์—์„œ๋Š” ์ „์ฒด ๋ถ„์„์ด ํ•„์š”ํ•˜์ง€ ์•Š๊ธฐ ๋•Œ๋ฌธ์— ์†Œํ”„ํŠธ์›จ์–ด์— ์˜ํ•ด ๋‹จ์ˆœํ™” ๋œ ๋ชจ๋ธ์ด ์ ์šฉ๋ฉ๋‹ˆ๋‹ค.

๋ฒฝ์ด ์–‡์€ ์ผ๋ถ€ ์ฃผ์กฐ์˜ ๊ฒฝ์šฐ ํ™•์‚ฐ ๋ฐ ์ด๋ฅ˜์— ๊ธฐ๋ฐ˜ํ•œ ๋งคํฌ๋กœ ๋ถ„๋ฆฌ๋Š” ์ค‘์š”ํ•˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค. ์ด๋Ÿฌํ•œ ์ฃผ๋ฌผ์—์„œ ์‘๊ณ  ๊ฒฝ๋กœ๋Š” ์ „์ฒด์ ์œผ๋กœ ๊ฑฐ์˜ ๋™์ผํ•˜๋ฉฐ ๊ฐ ๊ฐœ๋ณ„ ๊ณ„์‚ฐ ์…€์— ๋Œ€ํ•ด ์‘๊ณ  ์ค‘์— ์กฐ์„ฑ ๋ฐ ์œ„์ƒ ์ง„ํ™”๋ฅผ ์ถ”์  ํ•  ํ•„์š”๊ฐ€ ์—†์Šต๋‹ˆ๋‹ค. ์ด๋Ÿฌํ•œ ์œ ํ˜•์˜ ์‹œ๋‚˜๋ฆฌ์˜ค์˜ ๊ฒฝ์šฐ ์‚ฌ์šฉ์ž๊ฐ€ ๋‹จ์ˆœํ™” ๋œ ์‘๊ณ  ๋ชจ๋ธ์„ ์‚ฌ์šฉํ•˜์—ฌ ์†”๋ฃจ์…˜์— ๋” ๋นจ๋ฆฌ ๋„๋‹ฌํ•˜๋Š” ๊ฒƒ์ด ์ข‹์Šต๋‹ˆ๋‹ค.

FLOW-3D CAST Bibliography

FLOW-3D CAST bibliography

์•„๋ž˜๋Š” FSI์˜ ๊ธˆ์† ์ฃผ์กฐ ์ฐธ๊ณ  ๋ฌธํ—Œ์— ์ˆ˜๋ก๋œ ๊ธฐ์ˆ  ๋…ผ๋ฌธ ๋ชจ์Œ์ž…๋‹ˆ๋‹ค. ์ด ๋ชจ๋“  ๋…ผ๋ฌธ์—๋Š” FLOW-3D CAST ํ•ด์„ ๊ฒฐ๊ณผ๊ฐ€ ์ˆ˜๋ก๋˜์–ด ์žˆ์Šต๋‹ˆ๋‹ค. FLOW-3D CAST๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ๊ธˆ์† ์ฃผ์กฐ ์‚ฐ์—…์˜ ์‘์šฉ ํ”„๋กœ๊ทธ๋žจ์„ ์„ฑ๊ณต์ ์œผ๋กœ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ํ•˜๋Š” ๋ฐฉ๋ฒ•์— ๋Œ€ํ•ด ์ž์„ธํžˆ ์•Œ์•„๋ณด์‹ญ์‹œ์˜ค.

Below is a collection of technical papers in our Metal Casting Bibliography. All of these papers feature FLOW-3D CAST results. Learn more about how FLOW-3D CAST can be used to successfully simulate applications for the Metal Casting Industry.

33-20     Eric Riedel, Martin Liepe Stefan Scharf, Simulation of ultrasonic induced cavitation and acoustic streaming in liquid and solidifying aluminum, Metals, 10.4; 476, 2020. doi.org/10.3390/met10040476

20-20   Wu Yue, Li Zhuo and Lu Rong, Simulation and visual tester verification of solid propellant slurry vacuum plate casting, Propellants, Explosives, Pyrotechnics, 2020. doi.org/10.1002/prep.201900411

17-20   C.A. Jones, M.R. Jolly, A.E.W. Jarfors and M. Irwin, An experimental characterization of thermophysical properties of a porous ceramic shell used in the investment casting process, Supplimental Proceedings, pp. 1095-1105, TMS 2020 149th Annual Meeting and Exhibition, San Diego, CA, February 23-27, 2020. doi.org/10.1007/978-3-030-36296-6_102

12-20   Franz Josef Feikus, Paul Bernsteiner, Ricardo Fernรกndez Gutiรฉrrez and Michal Luszczak , Further development of electric motor housings, MTZ Worldwide, 81, pp. 38-43, 2020. doi.org/10.1007/s38313-019-0176-z

09-20   Mingfan Qi, Yonglin Kang, Yuzhao Xu, Zhumabieke Wulabieke and Jingyuan Li, A novel rheological high pressure die-casting process for preparing large thin-walled Alโ€“Siโ€“Feโ€“Mgโ€“Sr alloy with high heat conductivity, high plasticity and medium strength, Materials Science and Engineering: A, 776, art. no. 139040, 2020. doi.org/10.1016/j.msea.2020.139040

07-20   Stefan Heugenhauser, Erhard Kaschnitz and Peter Schumacher, Development of an aluminum compound casting process โ€“ Experiments and numerical simulations, Journal of Materials Processing Technology, 279, art. no. 116578, 2020. doi.org/10.1016/j.jmatprotec.2019.116578

05-20   Michail Papanikolaou, Emanuele Pagone, Mark Jolly and Konstantinos Salonitis, Numerical simulation and evaluation of Campbell running and gating systems, Metals, 10.1, art. no. 68, 2020. doi.org/10.3390/met10010068

102-19   Ferencz Peti and Gabriela Strnad, The effect of squeeze pin dimension and operational parameters on material homogeneity of aluminium high pressure die cast parts, Acta Marisiensis. Seria Technologica, 16.2, 2019. doi.org/0.2478/amset-2019-0010

94-19   E. Riedel, I. Horn, N. Stein, H. Stein, R. Bahr, and S. Scharf, Ultrasonic treatment: a clean technology that supports sustainability incasting processes, Procedia, 26th CIRP Life Cycle Engineering (LCE) Conference, Indianapolis, Indiana, USA, May 7-9, 2019. 

93-19   Adrian V. Catalina, Liping Xue, Charles A. Monroe, Robin D. Foley, and John A. Griffin, Modeling and Simulation of Microstructure and Mechanical Properties of AlSi- and AlCu-based Alloys, Transactions, 123rd Metalcasting Congress, Atlanta, GA, USA, April 27-30, 2019. 

84-19   Arun Prabhakar, Michail Papanikolaou, Konstantinos Salonitis, and Mark Jolly, Sand casting of sheet lead: numerical simulation of metal flow and solidification, The International Journal of Advanced Manufacturing Technology, pp. 1-13, 2019. doi.org/10.1007/s00170-019-04522-3

72-19   Santosh Reddy Sama, Eric Macdonald, Robert Voigt, and Guha Manogharan, Measurement of metal velocity in sand casting during mold filling, Metals, 9:1079, 2019. doi.org/10.3390/met9101079

71-19   Sebastian Findeisen, Robin Van Der Auwera, Michael Heuser, and Franz-Josef Wรถstmann, GieรŸtechnische Fertigung von E-Motorengehรคusen mit interner Kรผhling (Casting production of electric motor housings with internal cooling), Geisserei, 106, pp. 72-78, 2019 (in German).

58-19     Von Malte Leonhard, Matthias Todte, and Jรถrg Schรคffer, Realistic simulation of the combustion of exothermic feeders, Casting, No. 2, pp. 28-32, 2019. In English and German.

52-19     S. Lakkum and P. Kowitwarangkul, Numerical investigations on the effect of gas flow rate in the gas stirred ladle with dual plugs, International Conference on Materials Research and Innovation (ICMARI), Bangkok, Thailand, December 17-21, 2018. IOP Conference Series: Materials Science and Engineering, Vol. 526, 2019. doi.org/10.1088/1757-899X/526/1/012028

47-19     Bing Zhou, Shuai Lu, Kaile Xu, Chun Xu, and Zhanyong Wang, Microstructure and simulation of semisolid aluminum alloy castings in the process of stirring integrated transfer-heat (SIT) with water cooling, International Journal of Metalcasting, Online edition, pp. 1-13, 2019. doi.org/10.1007/s40962-019-00357-6

31-19     Zihao Yuan, Zhipeng Guo, and S.M. Xiong, Skin layer of A380 aluminium alloy die castings and its blistering during solution treatment, Journal of Materials Science & Technology, Vol. 35, No. 9, pp. 1906-1916, 2019. doi.org/10.1016/j.jmst.2019.05.011

25-19     Stefano Mascetti, Raul Pirovano, and Giulio Timelli, Interazione metallo liquido/stampo: Il fenomeno della metallizzazione, La Metallurgia Italiana, No. 4, pp. 44-50, 2019. In Italian.

20-19     Fu-Yuan Hsu, Campbellology for runner system design, Shape Casting: The Minerals, Metals & Materials Series, pp. 187-199, 2019. doi.org/10.1007/978-3-030-06034-3_19

19-19     Chengcheng Lyu, Michail Papanikolaou, and Mark Jolly, Numerical process modelling and simulation of Campbell running systems designs, Shape Casting: The Minerals, Metals & Materials Series, pp. 53-64, 2019. doi.org/10.1007/978-3-030-06034-3_5

18-19     Adrian V. Catalina, Liping Xue, and Charles Monroe, A solidification model with application to AlSi-based alloys, Shape Casting: The Minerals, Metals & Materials Series, pp. 201-213, 2019. doi.org/10.1007/978-3-030-06034-3_20

17-19     Fu-Yuan Hsu and Yu-Hung Chen, The validation of feeder modeling for ductile iron castings, Shape Casting: The Minerals, Metals & Materials Series, pp. 227-238, 2019. doi.org/10.1007/978-3-030-06034-3_22

04-19   Santosh Reddy Sama, Tony Badamo, Paul Lynch and Guha Manogharan, Novel sprue designs in metal casting via 3D sand-printing, Additive Manufacturing, Vol. 25, pp. 563-578, 2019. doi.org/10.1016/j.addma.2018.12.009

02-19   Jingying Sun, Qichi Le, Li Fu, Jing Bai, Johannes Tretter, Klaus Herbold and Hongwei Huo, Gas entrainment behavior of aluminum alloy engine crankcases during the low-pressure-die-casting-process, Journal of Materials Processing Technology, Vol. 266, pp. 274-282, 2019. doi.org/10.1016/j.jmatprotec.2018.11.016

92-18   Fast, Flexibleโ€ฆ More Versatile, Foundry Management Technology, March, 2018. 

82-18   Xu Zhao, Ping Wang, Tao Li, Bo-yu Zhang, Peng Wang, Guan-zhou Wang and Shi-qi Lu, Gating system optimization of high pressure die casting thin-wall AlSi10MnMg longitudinal loadbearing beam based on numerical simulation, China Foundry, Vol. 15, no. 6, pp. 436-442, 2018. doi: 10.1007/s41230-018-8052-z

80-18   Michail Papanikolaou, Emanuele Pagone, Konstantinos Salonitis, Mark Jolly and Charalampos Makatsoris, A computational framework towards energy efficient casting processes, Sustainable Design and Manufacturing 2018: Proceedings of the 5th International Conference on Sustainable Design and Manufacturing (KES-SDM-18), Gold Coast, Australia, June 24-26 2018, SIST 130, pp. 263-276, 2019. doi.org/10.1007/978-3-030-04290-5_27

64-18   Vasilios Fourlakidis, Ilia Belov and Attila Diรณszegi, Strength prediction for pearlitic lamellar graphite iron: Model validation, Metals, Vol. 8, No. 9, 2018. doi.org/10.3390/met8090684

51-18   Xue-feng Zhu, Bao-yi Yu, Li Zheng, Bo-ning Yu, Qiang Li, Shu-ning Lรผ and Hao Zhang, Influence of pouring methods on filling process, microstructure and mechanical properties of AZ91 Mg alloy pipe by horizontal centrifugal casting, China Foundry, vol. 15, no. 3, pp.196-202, 2018. doi.org/10.1007/s41230-018-7256-6

47-18   Santosh Reddy Sama, Jiayi Wang and Guha Manogharan, Non-conventional mold design for metal casting using 3D sand-printing, Journal of Manufacturing Processes, vol. 34-B, pp. 765-775, 2018. doi.org/10.1016/j.jmapro.2018.03.049

42-18   M. Koru and O. Serรงe, The Effects of Thermal and Dynamical Parameters and Vacuum Application on Porosity in High-Pressure Die Casting of A383 Al-Alloy, International Journal of Metalcasting, pp. 1-17, 2018. doi.org/10.1007/s40962-018-0214-7

41-18   Abhilash Viswanath, S. Savithri, U.T.S. Pillai, Similitude analysis on flow characteristics of water, A356 and AM50 alloys during LPC process, Journal of Materials Processing Technology, vol. 257, pp. 270-277, 2018. doi.org/10.1016/j.jmatprotec.2018.02.031

29-18   Seyboldt, Christoph and Liewald, Mathias, Investigation on thixojoining to produce hybrid components with intermetallic phase, AIP Conference Proceedings, vol. 1960, no. 1, 2018. doi.org/10.1063/1.5034992

28-18   Laura Schomer, Mathias Liewald and Kim Rouven Riedmรผller, Simulation of the infiltration process of a ceramic open-pore body with a metal alloy in semi-solid state to design the manufacturing of interpenetrating phase composites, AIP Conference Proceedings, vol. 1960, no. 1, 2018. doi.org/10.1063/1.5034991

41-17   Y. N. Wu et al., Numerical Simulation on Filling Optimization of Copper Rotor for High Efficient Electric Motors in Die Casting Process, Materials Science Forum, Vol. 898, pp. 1163-1170, 2017.

12-17   A.M.  Zarubin and O.A. Zarubina, Controlling the flow rate of melt in gravity die casting of aluminum alloys, Liteynoe Proizvodstvo (Casting Manufacturing), pp 16-20, 6, 2017. In Russian.

10-17   A.Y. Korotchenko, Y.V. Golenkov, M.V. Tverskoy and D.E. Khilkov, Simulation of the Flow of Metal Mixtures in the Mold, Liteynoe Proizvodstvo (Casting Manufacturing), pp 18-22, 5, 2017. In Russian.

08-17   Morteza Morakabian Esfahani, Esmaeil Hajjari, Ali Farzadi and Seyed Reza Alavi Zaree, Prediction of the contact time through modeling of heat transfer and fluid flow in compound casting process of Al/Mg light metals, Journal of Materials Research, ยฉ Materials Research Society 2017

04-17   Huihui Liu, Xiongwei He and Peng Guo, Numerical simulation on semi-solid die-casting of magnesium matrix composite based on orthogonal experiment, AIP Conference Proceedings 1829, 020037 (2017); doi.org/10.1063/1.4979769.

100-16  Robert Watson, New numerical techniques to quantify and predict the effect of entrainment defects, applied to high pressure die casting, PhD Thesis: University of Birmingham, 2016.

88-16   M.C. Carter, T. Kauffung, L. Weyenberg and C. Peters, Low Pressure Die Casting Simulation Discovery through Short Shot, Cast Expo & Metal Casting Congress, April 16-19, 2016, Minneapolis, MN, Copyright 2016 American Foundry Society.

61-16   M. Koru and O. Serรงe, Experimental and numerical determination of casting mold interfacial heat transfer coefficient in the high pressure die casting of a 360 aluminum alloy, ACTA PHYSICA POLONICA A, Vol. 129 (2016)

59-16   R. Pirovano and S. Mascetti, Tracking of collapsed bubbles during a filling simulation, La Metallurgia Italiana โ€“ n. 6 2016

43-16   Kevin Lee, Understanding shell cracking during de-wax process in investment casting, Ph.D Thesis: University of Birmingham, School of Engineering, Department of Chemical Engineering, 2016.

35-16   Konstantinos Salonitis, Mark Jolly, Binxu Zeng, and Hamid Mehrabi, Improvements in energy consumption and environmental impact by novel single shot melting process for casting, Journal of Cleaner Production, doi.org/10.1016/j.jclepro.2016.06.165, Open Access funded by Engineering and Physical Sciences Research Council, June 29, 2016

20-16   Fu-Yuan Hsu, Bifilm Defect Formation in Hydraulic Jump of Liquid Aluminum, Metallurgical and Materials Transactions B, 2016, Band: 47, Heft 3, 1634-1648.

15-16   Mingfan Qia, Yonglin Kanga, Bing Zhoua, Wanneng Liaoa, Guoming Zhua, Yangde Lib,and Weirong Li, A forced convection stirring process for Rheo-HPDC aluminum and magnesium alloys, Journal of Materials Processing Technology 234 (2016) 353โ€“367

112-15   Josรฉ Miguel Gonรงalves Ledo Belo da Costa, Optimization of filling systems for low pressure by FLOW-3D, Dissertaรงรฃo de mestrado integrado em Engenharia Mecรขnica, 2015.

89-15   B.W. Zhu, L.X. Li, X. Liu, L.Q. Zhang and R. Xu, Effect of Viscosity Measurement Method to Simulate High Pressure Die Casting of Thin-Wall AlSi10MnMg Alloy Castings, Journal of Materials Engineering and Performance, Published online, November 2015, doi.org/10.1007/s11665-015-1783-8, ยฉ ASM International.

88-15   Peng Zhang, Zhenming Li, Baoliang Liu, Wenjiang Ding and Liming Peng, Improved tensile properties of a new aluminum alloy for high pressure die casting, Materials Science & Engineering A651(2016)376โ€“390, Available online, November 2015.

83-15   Zu-Qi Hu, Xin-Jian Zhang and Shu-Sen Wu, Microstructure, Mechanical Properties and Die-Filling Behavior of High-Performance Die-Cast Alโ€“Mgโ€“Siโ€“Mn Alloy, Acta Metall. Sin. (Engl. Lett.), doi.org/10.1007/s40195-015-0332-7, ยฉ The Chinese Society for Metals and Springer-Verlag Berlin Heidelberg 2015.

82-15   J. Mรผller, L. Xue, M.C. Carter, C. Thoma, M. Fehlbier and M. Todte, A Die Spray Cooling Model for Thermal Die Cycling Simulations, 2015 Die Casting Congress & Exposition, Indianapolis, IN, October 2015

81-15   M. T. Murray, L.F. Hansen, L. Chilcott, E. Li and A.M. Murray, Case Studies in the Use of Simulation- Improved Yield and Reduced Time to Market, 2015 Die Casting Congress & Exposition, Indianapolis, IN, October 2015

80-15   R. Bhola, S. Chandra and D. Souders, Predicting Castability of Thin-Walled Parts for the HPDC Process Using Simulations, 2015 Die Casting Congress & Exposition, Indianapolis, IN, October 2015

76-15   Prosenjit Das, Sudip K. Samanta, Shashank Tiwari and Pradip Dutta, Die Filling Behaviour of Semi Solid A356 Al Alloy Slurry During Rheo Pressure Die Casting, Transactions of the Indian Institute of Metals, pp 1-6, October 2015

74-15   Murat KORU and Orhan SERร‡E, Yรผksek Basฤฑnรงlฤฑ Dรถkรผm Prosesinde Enjeksiyon Parametrelerine BaฤŸlฤฑ Olarak Dรถkรผm Simรผlasyon, Cumhuriyet University Faculty of Science, Science Journal (CSJ), Vol. 36, No: 5 (2015) ISSN: 1300-1949, May 2015

69-15   A. Viswanath, S. Sivaraman, U. T. S. Pillai, Computer Simulation of Low Pressure Casting Process Using FLOW-3D, Materials Science Forum, Vols. 830-831, pp. 45-48, September 2015

68-15   J. Aneesh Kumar, K. Krishnakumar and S. Savithri, Computer Simulation of Centrifugal Casting Process Using FLOW-3D, Materials Science Forum, Vols. 830-831, pp. 53-56, September 2015

59-15   F. Hosseini Yekta and S. A. Sadough Vanini, Simulation of the flow of semi-solid steel alloy using an enhanced model, Metals and Materials International, August 2015.

44-15   Ulrich E. Klotz, Tiziana Heiss and Dario Tiberto, Platinum investment casting material properties, casting simulation and optimum process parameters, Jewelry Technology Forum 2015

41-15   M. Barkhudarov and R. Pirovano, Minimizing Air Entrainment in High Pressure Die Casting Shot Sleeves, GIFA 2015, Dรผsseldorf, Germany

40-15   M. Todte, A. Fent, and H. Lang, Simulation in support of the development of innovative processes in the casting industry, GIFA 2015, Dรผsseldorf, Germany

19-15   Bruce Morey, Virtual casting improves powertrain design, Automotive Engineering, SAE International, March 2015.

15-15   K.S. Oh, J.D. Lee, S.J. Kim and J.Y. Choi, Development of a large ingot continuous caster, Metall. Res. Technol. 112, 203 (2015) ยฉ EDP Sciences, 2015, doi.org/10.1051/metal/2015006, www.metallurgical-research.org

14-15   Tiziana Heiss, Ulrich E. Klotz and Dario Tiberto, Platinum Investment Casting, Part I: Simulation and Experimental Study of the Casting Process, Johnson Matthey Technol. Rev., 2015, 59, (2), 95, doi.org/10.1595/205651315ร—687399

138-14 Christopher Thoma, Wolfram Volk, Ruben Heid, Klaus Dilger, Gregor Banner and Harald Eibisch, Simulation-based prediction of the fracture elongation as a failure criterion for thin-walled high-pressure die casting components, International Journal of Metalcasting, Vol. 8, No. 4, pp. 47-54, 2014. doi.org/10.1007/BF03355594

107-14  Mehran Seyed Ahmadi, Dissolution of Si in Molten Al with Gas Injection, ProQuest Dissertations And Theses; Thesis (Ph.D.), University of Toronto (Canada), 2014; Publication Number: AAT 3637106; ISBN: 9781321195231; Source: Dissertation Abstracts International, Volume: 76-02(E), Section: B.; 191 p.

99-14   R. Bhola and S. Chandra, Predicting Castability for Thin-Walled HPDC Parts, Foundry Management Technology, December 2014

92-14   Warren Bishenden and Changhua Huang, Venting design and process optimization of die casting process for structural components; Part II: Venting design and process optimization, Die Casting Engineer, November 2014

90-14   Kenโ€™ichi Kanazawa, Kenโ€™ichi Yano, Junโ€™ichi Ogura, and Yasunori Nemoto, Optimum Runner Design for Die-Casting using CFD Simulations and Verification with Water-Model Experiments, Proceedings of the ASME 2014 International Mechanical Engineering Congress and Exposition, IMECE2014, November 14-20, 2014, Montreal, Quebec, Canada, IMECE2014-37419

89-14   P. Kapranos, C. Carney, A. Pola, and M. Jolly, Advanced Casting Methodologies: Investment Casting, Centrifugal Casting, Squeeze Casting, Metal Spinning, and Batch Casting, In Comprehensive Materials Processing; McGeough, J., Ed.; 2014, Elsevier Ltd., 2014; Vol. 5, pp 39โ€“67.

77-14   Andrei Y. Korotchenko, Development of Scientific and Technological Approaches to Casting Net-Shaped Castings in Sand Molds Free of Shrinkage Defects and Hot Tears, Post-doctoral thesis: Russian State Technological University, 2014. In Russian.

69-14   L. Xue, M.C. Carter, A.V. Catalina, Z. Lin, C. Li, and C. Qiu, Predicting, Preventing Core Gas Defects in Steel Castings, Modern Casting, September 2014

68-14   L. Xue, M.C. Carter, A.V. Catalina, Z. Lin, C. Li, and C. Qiu, Numerical Simulation of Core Gas Defects in Steel Castings, Copyright 2014 American Foundry Society, 118th Metalcasting Congress, April 8 โ€“ 11, 2014, Schaumburg, IL

51-14   Jesus M. Blanco, Primitivo Carranza, Rafael Pintos, Pedro Arriaga, and Lakhdar Remaki, Identification of Defects Originated during the Filling of Cast Pieces through Particles Modelling, 11th World Congress on Computational Mechanics (WCCM XI), 5th European Conference on Computational Mechanics (ECCM V), 6th European Conference on Computational Fluid Dynamics (ECFD VI), E. Oรฑate, J. Oliver and A. Huerta (Eds)

47-14   B. Vijaya Ramnatha, C.Elanchezhiana, Vishal Chandrasekhar, A. Arun Kumarb, S. Mohamed Asif, G. Riyaz Mohamed, D. Vinodh Raj , C .Suresh Kumar, Analysis and Optimization of Gating System for Commutator End Bracket, Procedia Materials Science 6 ( 2014 ) 1312 โ€“ 1328, 3rd International Conference on Materials Processing and Characterisation (ICMPC 2014)

42-14  Bing Zhou, Yong-lin Kang, Guo-ming Zhu, Jun-zhen Gao, Ming-fan Qi, and Huan-huan Zhang, Forced convection rheoforming process for preparation of 7075 aluminum alloy semisolid slurry and its numerical simulation, Trans. Nonferrous Met. Soc. China 24(2014) 1109โˆ’1116

37-14    A. Karwinski, W. Lesniewski, P. Wieliczko, and M. Malysza, Casting of Titanium Alloys in Centrifugal Induction Furnaces, Archives of Metallurgy and Materials, Volume 59, Issue 1, doi.org/10.2478/amm-2014-0068, 2014.

26-14    Bing Zhou, Yonglin Kang, Mingfan Qi, Huanhuan Zhang and Guoming ZhuR-HPDC Process with Forced Convection Mixing Device for Automotive Part of A380 Aluminum Alloy, Materials 2014, 7, 3084-3105; doi.org/10.3390/ma7043084

20-14  Johannes Hartmann, Tobias Fiegl, Carolin Kรถrner, Aluminum integral foams with tailored density profile by adapted blowing agents, Applied Physics A, doi.org/10.1007/s00339-014-8377-4, March 2014.

19-14    A.Y. Korotchenko, N.A. Nikiforova, E.D. Demjanov, N.C. Larichev, The Influence of the Filling Conditions on the Service Properties of the Part Side Frame, Russian Foundryman, 1 (January), pp 40-43, 2014. In Russian.

11-14 B. Fuchs and C. Kรถrner, Mesh resolution consideration for the viability prediction of lost salt cores in the high pressure die casting process, Progress in Computational Fluid Dynamics, Vol. 14, No. 1, 2014, Copyright ยฉ 2014 Inderscience Enterprises Ltd.

08-14 FY Hsu, SW Wang, and HJ Lin, The External and Internal Shrinkages in Aluminum Gravity Castings, Shape Casting: 5th International Symposium 2014. Available online at Google Books

103-13  B. Fuchs, H. Eibisch and C. Kรถrner, Core Viability Simulation for Salt Core Technology in High-Pressure Die Casting, International Journal of Metalcasting, July 2013, Volume 7, Issue 3, pp 39โ€“45

94-13    Randall S. Fielding, J. Crapps, C. Unal, and J.R.Kennedy, Metallic Fuel Casting Development and Parameter Optimization Simulations, International Conference on Fast reators and Related Fuel Cycles (FR13), 4-7 March 2013, Paris France

90-13  A. Karwiล„skia, M. Maล‚yszaa, A. Tchรณrza, A. Gila, B. Lipowska, Integration of Computer Tomography and Simulation Analysis in Evaluation of Quality of Ceramic-Carbon Bonded Foam Filter, Archives of Foundry Engineering, doi.org/10.2478/afe-2013-0084, Published quarterly as the organ of the Foundry Commission of the Polish Academy of Sciences, ISSN, (2299-2944), Volume 13, Issue 4/2013

88-13  Litie and Metallurgia (Casting and Metallurgy), 3 (72), 2013, N.V.Sletova, I.N.Volnov, S.P.Zadrutsky, V.A.Chaikin, Modeling of the Process of Removing Non-metallic Inclusions in Aluminum Alloys Using the FLOW-3D program, pp 138-140. In Russian.

85-13    Michaล‚ Szucki,Tomasz Goraj, Janusz Lelito, Jรณzef S. Suchy, Numerical Analysis of Solid Particles Flow in Liquid Metal, XXXVII International Scientific Conference Foundrymanโ€™ Day 2013, Krakow, 28-29 November 2013

84-13  Kรถrner, C., Schwankl, M., Himmler, D., Aluminum-Aluminum compound castings by electroless deposited zinc layers, Journal of Materials Processing Technology (2014), doi.org/10.1016/j.jmatprotec.2013.12.01483-13.

77-13  Antonio Armillotta & Raffaello Baraggi & Simone Fasoli, SLM tooling for die casting with conformal cooling channels, The International Journal of Advanced Manufacturing Technology, doi.org/10.1007/s00170-013-5523-7, December 2013.

64-13   Johannes Hartmann, Christina Blรผmel, Stefan Ernst, Tobias Fiegl, Karl-Ernst Wirth, Carolin Kรถrner, Aluminum integral foam castings with microcellular cores by nano-functionalization, J Mater Sci, doi.org/10.1007/s10853-013-7668-z, September 2013.

46-13  Nicholas P. Orenstein, 3D Flow and Temperature Analysis of Filling a Plutonium Mold, LA-UR-13-25537, Approved for public release; distribution is unlimited. Los Alamos Annual Student Symposium 2013, 2013-07-24 (Rev.1)

42-13   Yang Yue, William D. Griffiths, and Nick R. Green, Modelling of the Effects of Entrainment Defects on Mechanical Properties in a Cast Al-Si-Mg Alloy, Materials Science Forum, 765, 225, 2013.

39-13  J. Crapps, D.S. DeCroix, J.D Galloway, D.A. Korzekwa, R. Aikin, R. Fielding, R. Kennedy, C. Unal, Separate effects identification via casting process modeling for experimental measurement of U-Pu-Zr alloys, Journal of Nuclear Materials, 15 July 2013.

35-13   A. Pari, Real Life Problem Solving through Simulations in the Die Casting Industry โ€“ Case Studies, ยฉ Die Casting Engineer, July 2013.

34-13  Martin Lagler, Use of Simulation to Predict the Viability of Salt Cores in the HPDC Process โ€“ Shot Curve as a Decisive Criterion, ยฉ Die Casting Engineer, July 2013.

24-13    I.N.Volnov, Optimizatsia Liteynoi Tekhnologii, (Casting Technology Optimization), Liteyshik Rossii (Russian Foundryman), 3, 2013, 27-29. In Russian

23-13  M.R. Barkhudarov, I.N. Volnov, Minimizatsia Zakhvata Vozdukha v Kamere Pressovania pri Litie pod Davleniem, (Minimization of Air Entrainment in the Shot Sleeve During High Pressure Die Casting), Liteyshik Rossii (Russian Foundryman), 3, 2013, 30-34. In Russian

09-13  M.C. Carter and L. Xue, Simulating the Parameters that Affect Core Gas Defects in Metal Castings, Copyright 2012 American Foundry Society, Presented at the 2013 CastExpo, St. Louis, Missouri, April 2013

08-13  C. Reilly, N.R. Green, M.R. Jolly, J.-C. Gebelin, The Modelling Of Oxide Film Entrainment In Casting Systems Using Computational Modelling, Applied Mathematical Modelling, http://dx.doi.org/10.1016/j.apm.2013.03.061, April 2013.

03-13  Alexandre Reikher and Krishna M. Pillai, A fast simulation of transient metal flow and solidification in a narrow channel. Part II. Model validation and parametric study, Int. J. Heat Mass Transfer (2013), http://dx.doi.org/10.1016/j.ijheatmasstransfer.2012.12.061.

02-13  Alexandre Reikher and Krishna M. Pillai, A fast simulation of transient metal flow and solidification in a narrow channel. Part I: Model development using lubrication approximation, Int. J. Heat Mass Transfer (2013), http://dx.doi.org/10.1016/j.ijheatmasstransfer.2012.12.060.

116-12  Jufu Jianga, Ying Wang, Gang Chena, Jun Liua, Yuanfa Li and Shoujing Luo, โ€œComparison of mechanical properties and microstructure of AZ91D alloy motorcycle wheels formed by die casting and double control forming, Materials & Design, Volume 40, September 2012, Pages 541-549.

107-12  F.K. Arslan, A.H. Hatman, S.ร–. Ertรผrk, E. Gรผner, B. Gรผner, An Evaluation for Fundamentals of Die Casting Materials Selection and Design, IMMCโ€™16 International Metallurgy & Materials Congress, Istanbul, Turkey, 2012.

103-12 WU Shu-sen, ZHONG Gu, AN Ping, WAN Li, H. NAKAE, Microstructural characteristics of Alโˆ’20Siโˆ’2Cuโˆ’0.4Mgโˆ’1Ni alloy formed by rheo-squeeze casting after ultrasonic vibration treatment, Transactions of Nonferrous Metals Society of China, 22 (2012) 2863-2870, November 2012. Full paper available online.

109-12 Alexandre Reikher, Numerical Analysis of Die-Casting Process in Thin Cavities Using Lubrication Approximation, Ph.D. Thesis: The University of Wisconsin Milwaukee, Engineering Department (2012) Theses and Dissertations. Paper 65.

97-12 Hong Zhou and Li Heng Luo, Filling Pattern of Step Gating System in Lost Foam Casting Process and its Application, Advanced Materials Research, Volumes 602-604, Progress in Materials and Processes, 1916-1921, December 2012.

93-12  Liangchi Zhang, Chunliang Zhang, Jeng-Haur Horng and Zichen Chen, Functions of Step Gating System in the Lost Foam Casting Process, Advanced Materials Research, 591-593, 940, DOI: 10.4028/www.scientific.net/AMR.591-593.940, November 2012.

91-12  Hong Yan, Jian Bin Zhu, Ping Shan, Numerical Simulation on Rheo-Diecasting of Magnesium Matrix Composites, 10.4028/www.scientific.net/SSP.192-193.287, Solid State Phenomena, 192-193, 287.

89-12  Alexandre Reikher and Krishna M. Pillai, A Fast Numerical Simulation for Modeling Simultaneous Metal Flow and Solidification in Thin Cavities Using the Lubrication Approximation, Numerical Heat Transfer, Part A: Applications: An International Journal of Computation and Methodology, 63:2, 75-100, November 2012.

82-12  Jufu Jiang, Gang Chen, Ying Wang, Zhiming Du, Weiwei Shan, and Yuanfa Li, Microstructure and mechanical properties of thin-wall and high-rib parts of AM60B Mg alloy formed by double control forming and die casting under the optimal conditions, Journal of Alloys and Compounds, http://dx.doi.org/10.1016/j.jallcom.2012.10.086, October 2012.

78-12   A. Pari, Real Life Problem Solving through Simulations in the Die Casting Industry โ€“ Case Studies, 2012 Die Casting Congress & Exposition, ยฉ NADCA, October 8-10, 2012, Indianapolis, IN.

77-12  Y. Wang, K. Kabiri-Bamoradian and R.A. Miller, Rheological behavior models of metal matrix alloys in semi-solid casting process, 2012 Die Casting Congress & Exposition, ยฉ NADCA, October 8-10, 2012, Indianapolis, IN.

76-12  A. Reikher and H. Gerber, Analysis of Solidification Parameters During the Die Cast Process, 2012 Die Casting Congress & Exposition, ยฉ NADCA, October 8-10, 2012, Indianapolis, IN.

75-12 R.A. Miller, Y. Wang and K. Kabiri-Bamoradian, Estimating Cavity Fill Time, 2012 Die Casting Congress & Exposition, ยฉ NADCA, October 8-10, 2012Indianapolis, IN.

65-12  X.H. Yang, T.J. Lu, T. Kim, Influence of non-conducting pore inclusions on phase change behavior of porous media with constant heat flux boundaryInternational Journal of Thermal Sciences, Available online 10 October 2012. Available online at SciVerse.

55-12  Hejun Li, Pengyun Wang, Lehua Qi, Hansong Zuo, Songyi Zhong, Xianghui Hou, 3D numerical simulation of successive deposition of uniform molten Al droplets on a moving substrate and experimental validation, Computational Materials Science, Volume 65, December 2012, Pages 291โ€“301.

52-12 Hongbing Ji, Yixin Chen and Shengzhou Chen, Numerical Simulation of Inner-Outer Couple Cooling Slab Continuous Casting in the Filling Process, Advanced Materials Research (Volumes 557-559), Advanced Materials and Processes II, pp. 2257-2260, July 2012.

47-12    Petri Vรคyrynen, Lauri Holappa, and Seppo Louhenkilpi, Simulation of Melting of Alloying Materials in Steel Ladle, SCANMET IV โ€“ 4th International Conference on Process Development in Iron and Steelmaking, Lulea, Sweden, June 10-13, 2012.

46-12  Bin Zhang and Dave Salee, Metal Flow and Heat Transfer in Billet DC Casting Using Wagstaffยฎ Optifillโ„ข Metal Distribution Systems, 5th International Metal Quality Workshop, United Arab Emirates Dubai, March 18-22, 2012.

45-12 D.R. Gunasegaram, M. Givord, R.G. Oโ€™Donnell and B.R. Finnin, Improvements engineered in UTS and elongation of aluminum alloy high pressure die castings through the alteration of runner geometry and plunger velocity, Materials Science & Engineering.

44-12    Antoni Drys and Stefano Mascetti, Aluminum Casting Simulations, Desktop Engineering, September 2012

42-12   Huizhen Duan, Jiangnan Shen and Yanping Li, Comparative analysis of HPDC process of an auto part with ProCAST and FLOW-3D, Applied Mechanics and Materials Vols. 184-185 (2012) pp 90-94, Online available since 2012/Jun/14 at www.scientific.net, ยฉ (2012) Trans Tech Publications, Switzerland, doi:10.4028/www.scientific.net/AMM.184-185.90.

41-12    Deniece R. Korzekwa, Cameron M. Knapp, David A. Korzekwa, and John W. Gibbs, Co-Design โ€“ Fabrication of Unalloyed Plutonium, LA-UR-12-23441, MDI Summer Research Group Workshop Advanced Manufacturing, 2012-07-25/2012-07-26 (Los Alamos, New Mexico, United States)

29-12  Dario Tiberto and Ulrich E. Klotz, Computer simulation applied to jewellery casting: challenges, results and future possibilities, IOP Conf. Ser.: Mater. Sci. Eng.33 012008. Full paper available at IOP.

28-12  Y Yue and N R Green, Modelling of different entrainment mechanisms and their influences on the mechanical reliability of Al-Si castings, 2012 IOP Conf. Ser.: Mater. Sci. Eng. 33,012072.Full paper available at IOP.

27-12  E Kaschnitz, Numerical simulation of centrifugal casting of pipes, 2012 IOP Conf. Ser.: Mater. Sci. Eng. 33 012031, Issue 1. Full paper available at IOP.

15-12  C. Reilly, N.R Green, M.R. Jolly, The Present State Of Modeling Entrainment Defects In The Shape Casting Process, Applied Mathematical Modelling, Available online 27 April 2012, ISSN 0307-904X, 10.1016/j.apm.2012.04.032.

12-12   Andrei Starobin, Tony Hirt, Hubert Lang, and Matthias Todte, Core drying simulation and validation, International Foundry Research, GIESSEREIFORSCHUNG 64 (2012) No. 1, ISSN 0046-5933, pp 2-5

10-12  H. Vladimir Martรญnez and Marco F. Valencia (2012). Semisolid Processing of Al/ฮฒ-SiC Composites by Mechanical Stirring Casting and High Pressure Die Casting, Recent Researches in Metallurgical Engineering โ€“ From Extraction to Forming, Dr Mohammad Nusheh (Ed.), ISBN: 978-953-51-0356-1, InTech

07-12     Amir H. G. Isfahani and James M. Brethour, Simulating Thermal Stresses and Cooling Deformations, Die Casting Engineer, March 2012

06-12   Shuisheng Xie, Youfeng He and Xujun Mi, Study on Semi-solid Magnesium Alloys Slurry Preparation and Continuous Roll-casting Process, Magnesium Alloys โ€“ Design, Processing and Properties, ISBN: 978-953-307-520-4, InTech.

04-12 J. Spangenberg, N. Roussel, J.H. Hattel, H. Stang, J. Skocek, M.R. Geiker, Flow induced particle migration in fresh concrete: Theoretical frame, numerical simulations and experimental results on model fluids, Cement and Concrete Research, http://dx.doi.org/10.1016/j.cemconres.2012.01.007, February 2012.

01-12   Lee, B., Baek, U., and Han, J., Optimization of Gating System Design for Die Casting of Thin Magnesium Alloy-Based Multi-Cavity LCD Housings, Journal of Materials Engineering and Performance, Springer New York, Issn: 1059-9495, 10.1007/s11665-011-0111-1, Volume 1 / 1992 โ€“ Volume 21 / 2012. Available online at Springer Link.

104-11  Fu-Yuan Hsu and Huey Jiuan Lin, Foam Filters Used in Gravity Casting, Metall and Materi Trans B (2011) 42: 1110. doi:10.1007/s11663-011-9548-8.

99-11    Eduardo Trejo, Centrifugal Casting of an Aluminium Alloy, thesis: Doctor of Philosophy, Metallurgy and Materials School of Engineering University of Birmingham, October 2011. Full paper available upon request.

93-11  Olga Kononova, Andrejs Krasnikovs ,Videvuds Lapsa,Jurijs Kalinka and Angelina Galushchak, Internal Structure Formation in High Strength Fiber Concrete during Casting, World Academy of Science, Engineering and Technology 59 2011

76-11  J. Hartmann, A. Trepper, and C. Kรถrner, Aluminum Integral Foams with Near-Microcellular Structure, Advanced Engineering Materials 2011, Volume 13 (2011) No. 11, ยฉ Wiley-VCH

71-11  Fu-Yuan Hsu and Yao-Ming Yang Confluence Weld in an Aluminum Gravity Casting, Journal of Materials Processing Technology, Available online 23 November 2011, ISSN 0924-0136, 10.1016/j.jmatprotec.2011.11.006.

65-11     V.A. Chaikin, A.V. Chaikin, I.N.Volnov, A Study of the Process of Late Modification Using Simulation, in Zagotovitelnye Proizvodstva v Mashinostroenii, 10, 2011, 8-12. In Russian.

54-11  Ngadia Taha Niane and Jean-Pierre Michalet, Validation of Foundry Process for Aluminum Parts with FLOW-3D Software, Proceedings of the 2011 International Symposium on Liquid Metal Processing and Casting, 2011.

51-11    A. Reikher and H. Gerber, Calculation of the Die Cast parameters of the Thin Wall Aluminum Cast Part, 2011 Die Casting Congress & Tabletop, Columbus, OH, September 19-21, 2011

50-11   Y. Wang, K. Kabiri-Bamoradian, and R.A. Miller, Runner design optimization based on CFD simulation for a die with multiple cavities, 2011 Die Casting Congress & Tabletop, Columbus, OH, September 19-21, 2011

48-11 A. Karwiล„ski, W. Leล›niewski, S. Pysz, P. Wieliczko, The technology of precision casting of titanium alloys by centrifugal process, Archives of Foundry Engineering, ISSN: 1897-3310), Volume 11, Issue 3/2011, 73-80, 2011.

46-11  Daniel Einsiedler, Entwicklung einer Simulationsmethodik zur Simulation von Strรถmungs- und Trocknungsvorgรคngen bei Kernfertigungsprozessen mittels CFD (Development of a simulation methodology for simulating flow and drying operations in core production processes using CFD), MSc thesis at Technical University of Aalen in Germany (Hochschule Aalen), 2011.

44-11  Bin Zhang and Craig Shaber, Aluminum Ingot Thermal Stress Development Modeling of the Wagstaffยฎ EpsilonTM Rolling Ingot DC Casting System during the Start-up Phase, Materials Science Forum Vol. 693 (2011) pp 196-207, ยฉ 2011 Trans Tech Publications, July, 2011.

43-11 Vu Nguyen, Patrick Rohan, John Grandfield, Alex Levin, Kevin Naidoo, Kurt Oswald, Guillaume Girard, Ben Harker, and Joe Rea, Implementation of CASTfill low-dross pouring system for ingot casting, Materials Science Forum Vol. 693 (2011) pp 227-234, ยฉ 2011 Trans Tech Publications, July, 2011.

40-11  A. Starobin, D. Goettsch, M. Walker, D. Burch, Gas Pressure in Aluminum Block Water Jacket Cores, ยฉ 2011 American Foundry Society, International Journal of Metalcasting/Summer 2011

37-11 Ferencz Peti, Lucian Grama, Analyze of the Possible Causes of Porosity Type Defects in Aluminum High Pressure Diecast Parts, Scientific Bulletin of the Petru Maior University of Targu Mures, Vol. 8 (XXV) no. 1, 2011, ISSN 1841-9267

31-11  Johannes Hartmann, Andrรฉ Trepper, Carolin Kรถrner, Aluminum Integral Foams with Near-Microcellular Structure, Advanced Engineering Materials, 13: n/a. doi: 10.1002/adem.201100035, June 2011.

27-11  A. Pari, Optimization of HPDC Process using Flow Simulation Case Studies, Die Casting Engineer, July 2011

26-11    A. Reikher, H. Gerber, Calculation of the Die Cast Parameters of the Thin Wall Aluminum Die Casting Part, Die Casting Engineer, July 2011

21-11 Thang Nguyen, Vu Nguyen, Morris Murray, Gary Savage, John Carrig, Modelling Die Filling in Ultra-Thin Aluminium Castings, Materials Science Forum (Volume 690), Light Metals Technology V, pp 107-111, 10.4028/www.scientific.net/MSF.690.107, June 2011.

19-11 Jon Spangenberg, Cem Celal Tutum, Jesper Henri Hattel, Nicolas Roussel, Metter Rica Geiker, Optimization of Casting Process Parameters for Homogeneous Aggregate Distribution in Self-Compacting Concrete: A Feasibility Study, ยฉ IEEE Congress on Evolutionary Computation, 2011, New Orleans, USA

16-11  A. Starobin, C.W. Hirt, H. Lang, and M. Todte, Core Drying Simulation and Validations, AFS Proceedings 2011, ยฉ American Foundry Society, Presented at the 115th Metalcasting Congress, Schaumburg, Illinois, April 2011.

15-11  J. J. Hernรกndez-Ortega, R. Zamora, J. Lรณpez, and F. Faura, Numerical Analysis of Air Pressure Effects on the Flow Pattern during the Filling of a Vertical Die Cavity, AIP Conf. Proc., Volume 1353, pp. 1238-1243, The 14th International Esaform Conference on Material Forming: Esaform 2011; doi:10.1063/1.3589686, May 2011. Available online.

10-11 Abbas A. Khalaf and Sumanth Shankar, Favorable Environment for Nondentric Morphology in Controlled Diffusion Solidification, DOI: 10.1007/s11661-011-0641-z, ยฉ The Minerals, Metals & Materials Society and ASM International 2011, Metallurgical and Materials Transactions A, March 11, 2011.

08-11 Hai Peng Li, Chun Yong Liang, Li Hui Wang, Hong Shui Wang, Numerical Simulation of Casting Process for Gray Iron Butterfly Valve, Advanced Materials Research, 189-193, 260, February 2011.

04-11  C.W. Hirt, Predicting Core Shooting, Drying and Defect Development, Foundry Management & Technology, January 2011.

76-10  Zhizhong Sun, Henry Hu, Alfred Yu, Numerical Simulation and Experimental Study of Squeeze Casting Magnesium Alloy AM50, Magnesium Technology 2010, 2010 TMS Annual Meeting & ExhibitionFebruary 14-18, 2010, Seattle, WA.

68-10  A. Reikher, H. Gerber, K.M. Pillai, T.-C. Jen, Natural Convectionโ€”An Overlooked Phenomenon of the Solidification Process, Die Casting Engineer, January 2010

54-10    Andrea Bernardoni, Andrea Borsi, Stefano Mascetti, Alessandro Incognito and Matteo Corrado, Fonderia Leonardo aveva ragione! Lโ€™enorme cavallo dedicato a Francesco Sforza era materialmente realizzabile, A&C โ€“ Analisis e Calcolo, Giugno 2010. In  Italian.

48-10  J. J. Hernรกndez-Ortega, R. Zamora, J. Palacios, J. Lรณpez and F. Faura, An Experimental and Numerical Study of Flow Patterns and Air Entrapment Phenomena During the Filling of a Vertical Die Cavity, J. Manuf. Sci. Eng., October 2010, Volume 132, Issue 5, 05101, doi:10.1115/1.4002535.

47-10  A.V. Chaikin, I.N. Volnov, and V.A. Chaikin, Development of Dispersible Mixed Inoculant Compositions Using the FLOW-3D Program, Liteinoe Proizvodstvo, October, 2010, in Russian.

42-10  H. Lakshmi, M.C. Vinay Kumar, Raghunath, P. Kumar, V. Ramanarayanan, K.S.S. Murthy, P. Dutta, Induction reheating of A356.2 aluminum alloy and thixocasting as automobile component, Transactions of Nonferrous Metals Society of China 20(20101) s961-s967.

41-10  Pamela J. Waterman, Understanding Core-Gas Defects, Desktop Engineering, October 2010. Available online at Desktop Engineering. Also published in the Foundry Trade Journal, November 2010.

39-10  Liu Zheng, Jia Yingying, Mao Pingli, Li Yang, Wang Feng, Wang Hong, Zhou Le, Visualization of Die Casting Magnesium Alloy Steering Bracket, Special Casting & Nonferrous Alloys, ISSN: 1001-2249, CN: 42-1148/TG, 2010-04. In Chinese.

37-10  Morris Murray, Lars Feldager Hansen, and Carl Reinhardt, I Have Defects โ€“ Now What, Die Casting Engineer, September 2010

36-10  Stefano Mascetti, Using Flow Analysis Software to Optimize Piston Velocity for an HPDC Process, Die Casting Engineer, September 2010. Also available in Italian: Ottimizzare la velocita del pistone in pressofusione.  A & C, Analisi e Calcolo, Anno XII, n. 42, Gennaio 2011, ISSN 1128-3874.

32-10  Guan Hai Yan, Sheng Dun Zhao, Zheng Hui Sha, Parameters Optimization of Semisolid Diecasting Process for Air-Conditionerโ€™s Triple Valve in HPb59-1 Alloy, Advanced Materials Research (Volumes 129 โ€“ 131), Vol. Material and Manufacturing Technology, pp. 936-941, DOI: 10.4028/www.scientific.net/AMR.129-131.936, August 2010.

29-10 Zheng Peng, Xu Jun, Zhang Zhifeng, Bai Yuelong, and Shi Likai, Numerical Simulation of Filling of Rheo-diecasting A357 Aluminum Alloy, Special Casting & Nonferrous Alloys, DOI: CNKI:SUN:TZZZ.0.2010-01-024, 2010.

27-10 For an Aerospace Diecasting, Littler Uses Simulation to Reveal Defects, and Win a New Order, Foundry Management & Technology, July 2010

23-10 Michael R. Barkhudarov, Minimizing Air Entrainment, The Canadian Die Caster, June 2010

15-10 David H. Kirkwood, Michel Suery, Plato Kapranos, Helen V. Atkinson, and Kenneth P. Young, Semi-solid Processing of Alloys, 2010, XII, 172 p. 103 illus., 19 in color., Hardcover ISBN: 978-3-642-00705-7.

09-10  Shannon Wetzel, Fullfilling Da Vinciโ€™s Dream, Modern Casting, April 2010.

08-10 B.I. Semenov, K.M. Kushtarov, Semi-solid Manufacturing of Castings, New Industrial Technologies, Publication of Moscow State Technical University n.a. N.E. Bauman, 2009 (in Russian)

07-10 Carl Reilly, Development Of Quantitative Casting Quality Assessment Criteria Using Process Modelling, thesis: The University of Birmingham, March 2010 (Available upon request)

06-10 A. Pari, Optimization of HPDC Process using Flow Simulation โ€“ Case Studies, CastExpo โ€™10, NADCA, Orlando, Florida, March 2010

05-10 M.C. Carter, S. Palit, and M. Littler, Characterizing Flow Losses Occurring in Air Vents and Ejector Pins in High Pressure Die Castings, CastExpo โ€™10, NADCA, Orlando, Florida, March 2010

04-10 Pamela Waterman, Simulating Porosity Factors, Foundry Management Technology, March 2010, Article available at Foundry Management Technology

03-10 C. Reilly, M.R. Jolly, N.R. Green, JC Gebelin, Assessment of Casting Filling by Modeling Surface Entrainment Events Using CFD, 2010 TMS Annual Meeting & Exhibition (Jim Evans Honorary Symposium), Seattle, Washington, USA, February 14-18, 2010

02-10 P. Vรคyrynen, S. Wang, J. Laine and S.Louhenkilpi, Control of Fluid Flow, Heat Transfer and Inclusions in Continuous Casting โ€“ CFD and Neural Network Studies, 2010 TMS Annual Meeting & Exhibition (Jim Evans Honorary Symposium), Seattle, Washington, USA, February 14-18, 2010

60-09   Somlak Wannarumon, and Marco Actis Grande, Comparisons of Computer Fluid Dynamic Software Programs applied to Jewelry Investment Casting Process, World Academy of Science, Engineering and Technology 55 2009.

59-09   Marco Actis Grande and Somlak Wannarumon, Numerical Simulation of Investment Casting of Gold Jewelry: Experiments and Validations, World Academy of Science, Engineering and Technology, Vol:3 2009-07-24

56-09  Jozef Kasala, Ondrej Hรญreลก, Rudolf Pernis, Start-up Phase Modeling of Semi Continuous Casting Process of Brass Billets, Metal 2009, 19.-21.5.2009

51-09  In-Ting Hong, Huan-Chien Tung, Chun-Hao Chiu and Hung-Shang Huang, Effect of Casting Parameters on Microstructure and Casting Quality of Si-Al Alloy for Vacuum Sputtering, China Steel Technical Report, No. 22, pp. 33-40, 2009.

42-09  P. Vรคyrynen, S. Wang, S. Louhenkilpi and L. Holappa, Modeling and Removal of Inclusions in Continuous Casting, Materials Science & Technology 2009 Conference & Exhibition, Pittsburgh, Pennsylvania, USA, October 25-29, 2009

41-09 O.Smirnov, P.Vรคyrynen, A.Kravchenko and S.Louhenkilpi, Modern Methods of Modeling Fluid Flow and Inclusions Motion in Tundish Bath โ€“ General View, Proceedings of Steelsim 2009 โ€“ 3rd International Conference on Simulation and Modelling of Metallurgical Processes in Steelmaking, Leoben, Austria, September 8-10, 2009

21-09 A. Pari, Case Studies โ€“ Optimization of HPDC Process Using Flow Simulation, Die Casting Engineer, July 2009

20-09 M. Sirvio, M. Wos, Casting directly from a computer model by using advanced simulation software, FLOW-3D Cast, Archives of Foundry Engineering Volume 9, Issue 1/2009, 79-82

19-09 Andrei Starobin, C.W. Hirt, D. Goettsch, A Model for Binder Gas Generation and Transport in Sand Cores and Molds, Modeling of Casting, Welding, and Solidification Processes XII, TMS (The Minerals, Metals & Minerals Society), June 2009

11-09 Michael Barkhudarov, Minimizing Air Entrainment in a Shot Sleeve during Slow-Shot Stage, Die Casting Engineer (The North American Die Casting Association ISSN 0012-253X), May 2009

10-09 A. Reikher, H. Gerber, Application of One-Dimensional Numerical Simulation to Optimize Process Parameters of a Thin-Wall Casting in High Pressure Die Casting, Die Casting Engineer (The North American Die Casting Association ISSN 0012-253X), May 2009

7-09 Andrei Starobin, Simulation of Core Gas Evolution and Flow, presented at the North American Die Casting Association โ€“ 113th Metalcasting Congress, April 7-10, 2009, Las Vegas, Nevada, USA

6-09 A.Pari, Optimization of HPDC PROCESS: Case Studies, North American Die Casting Association โ€“ 113th Metalcasting Congress, April 7-10, 2009, Las Vegas, Nevada, USA

2-09 C. Reilly, N.R. Green and M.R. Jolly, Oxide Entrainment Structures in Horizontal Running Systems, TMS 2009, San Francisco, California, February 2009

30-08 I.N.Volnov, Computer Modeling of Casting of Pipe Fittings, ยฉ 2008, Pipe Fittings, 5 (38), 2008. Russian version

28-08 A.V.Chaikin, I.N.Volnov, V.A.Chaikin, Y.A.Ukhanov, N.R.Petrov, Analysis of the Efficiency of Alloy Modifiers Using Statistics and Modeling, ยฉ 2008, Liteyshik Rossii (Russian Foundryman), October, 2008

27-08 P. Scarber, Jr., H. Littleton, Simulating Macro-Porosity in Aluminum Lost Foam Castings, American Foundry Society, ยฉ 2008, AFS Lost Foam Conference, Asheville, North Carolina, October, 2008

25-08 FMT Staff, Forecasting Core Gas Pressures with Computer Simulation, Foundry Management and Technology, October 28, 2008 ยฉ 2008 Penton Media, Inc. Online article

24-08 Core and Mold Gas Evolution, Foundry Management and Technology, January 24, 2008 (excerpted from the FM&T May 2007 issue) ยฉ 2008 Penton Media, Inc.

22-08 Mark Littler, Simulation Eliminates Die Casting Scrap, Modern Casting/September 2008

21-08 X. Chen, D. Penumadu, Permeability Measurement and Numerical Modeling for Refractory Porous Materials, AFS Transactions ยฉ 2008 American Foundry Society, CastExpo โ€™08, Atlanta, Georgia, May 2008

20-08 Rolf Krack, Using Solidification Simulations for Optimising Die Cooling Systems, FTJ July/August 2008

19-08 Mark Littler, Simulation Software Eliminates Die Casting Scrap, ECS Casting Innovations, July/August 2008

13-08 T. Yoshimura, K. Yano, T. Fukui, S. Yamamoto, S. Nishido, M. Watanabe and Y. Nemoto, Optimum Design of Die Casting Plunger Tip Considering Air Entrainment, Proceedings of 10th Asian Foundry Congress (AFC10), Nagoya, Japan, May 2008

08-08 Stephen Instone, Andreas Buchholz and Gerd-Ulrich Gruen, Inclusion Transport Phenomena in Casting Furnaces, Light Metals 2008, TMS (The Minerals, Metals & Materials Society), 2008

07-08 P. Scarber, Jr., H. Littleton, Simulating Macro-Porosity in Aluminum Lost Foam Casting, AFS Transactions 2008 ยฉ American Foundry Society, CastExpo โ€™08, Atlanta, Georgia, May 2008

06-08 A. Reikher, H. Gerber and A. Starobin, Multi-Stage Plunger Deceleration System, CastExpo โ€™08, NADCA, Atlanta, Georgia, May 2008

05-08 Amol Palekar, Andrei Starobin, Alexander Reikher, Die-casting end-of-fill and drop forge viscometer flow transients examined with a coupled-motion numerical model, 68th World Foundry Congress, Chennai, India, February 2008

03-08 Petri J. Vรคyrynen, Sami K. Vapalahti and Seppo J. Louhenkilpi, On Validation of Mathematical Fluid Flow Models for Simulation of Tundish Water Models and Industrial Examples, AISTech 2008, May 2008

53-07   A. Kermanpur, Sh. Mahmoudi and A. Hajipour, Three-dimensional Numerical Simulation of Metal Flow and Solidification in the Multi-cavity Casting Moulds of Automotive Components, International Journal of Iron & Steel Society of Iran, Article 2, Volume 4, Issue 1, Summer and Autumn 2007, pages 8-15.

36-07 Duque Mesa A. F., Herrera J., Cruz L.J., Fernรกndez G.P. y Martรญnez H.V., Caracterizaciรณn Defectolรณgica de Piezas Fundida por Lost Foam Casting Mediante Simulaciรณn Numรฉrica, 8ยฐ Congreso Iberoamericano de Ingenieria Mecanica, Cusco, Peru, 23 al 25 de Octubre de 2007 (in Spanish)

27-07 A.Y. Korotchenko, A.M. Zarubin, I.A.Korotchenko, Modeling of High Pressure Die Casting Filling, Russian Foundryman, December 2007, pp 15-19. (in Russian)

26-07 I.N. Volnov, Modeling of Casting Processes with Variable Geometry, Russian Foundryman, November 2007, pp 27-30. (in Russian)

16-07 P. Vรคyrynen, S. Vapalahti, S. Louhenkilpi, L. Chatburn, M. Clark, T. Wagner, Tundish Flow Model Tuning and Validation โ€“ Steady State and Transient Casting Situations, STEELSIM 2007, Graz/Seggau, Austria, September 12-14 2007

11-07 Marco Actis Grande, Computer Simulation of the Investment Casting Process โ€“ Widening of the Filling Step, Santa Fe Symposium on Jewelry Manufacturing Technology, May 2007

09-07 Alexandre Reikher and Michael Barkhudarov, Casting: An Analytical Approach, Springer, 1st edition, August 2007, Hardcover ISBN: 978-1-84628-849-4. U.S. Order Form; Europe Order Form.

07-07 I.N. Volnov, Casting Modeling Systems โ€“ Current State, Problems and Perspectives, (in Russian), Liteyshik Rossii (Russian Foundryman), June 2007

05-07 A.N. Turchin, D.G. Eskin, and L. Katgerman, Solidification under Forced-Flow Conditions in a Shallow Cavity, DOI: 10.1007/s1161-007-9183-9, ยฉ The Minerals, Metals & Materials Society and ASM International 2007

04-07 A.N. Turchin, M. Zuijderwijk, J. Pool, D.G. Eskin, and L. Katgerman, Feathery grain growth during solidification under forced flow conditions, ยฉ Acta Materialia Inc. Published by Elsevier Ltd. All rights reserved. DOI: 10.1016/j.actamat.2007.02.030, April 2007

03-07 S. Kuyucak, Sponsored Research โ€“ Clean Steel Casting Productionโ€”Evaluation of Laboratory Castings, Transactions of the American Foundry Society, Volume 115, 111th Metalcasting Congress, May 2007

02-07 Fu-Yuan Hsu, Mark R. Jolly and John Campbell, The Design of L-Shaped Runners for Gravity Casting, Shape Casting: 2nd International Symposium, Edited by Paul N. Crepeau, Murat Tiryakioรฐlu and John Campbell, TMS (The Minerals, Metals & Materials Society), Orlando, FL, Feb 2007

30-06 X.J. Liu, S.H. Bhavnani, R.A. Overfelt, Simulation of EPS foam decomposition in the lost foam casting process, Journal of Materials Processing Technology 182 (2007) 333โ€“342, ยฉ 2006 Elsevier B.V. All rights reserved.

25-06 Michael Barkhudarov and Gengsheng Wei, Modeling Casting on the Move, Modern Casting, August 2006; Modeling of Casting Processes with Variable Geometry, Russian Foundryman, December 2007, pp 10-15. (in Russian)

24-06 P. Scarber, Jr. and C.E. Bates, Simulation of Core Gas Production During Mold Fill, ยฉ 2006 American Foundry Society

7-06 M.Y.Smirnov, Y.V.Golenkov, Manufacturing of Cast Iron Bath Tubs Castings using Vacuum-Process in Russia, Russiaโ€™s Foundryman, July 2006. In Russian.

6-06 M. Barkhudarov, and G. Wei, Modeling of the Coupled Motion of Rigid Bodies in Liquid Metal, Modeling of Casting, Welding and Advanced Solidification Processes โ€“ XI, May 28 โ€“ June 2, 2006, Opio, France, eds. Ch.-A. Gandin and M. Bellet, pp 71-78, 2006.

2-06 J.-C. Gebelin, M.R. Jolly and F.-Y. Hsu, โ€˜Designing-inโ€™ Controlled Filling Using Numerical Simulation for Gravity Sand Casting of Aluminium Alloys, Int. J. Cast Met. Res., 2006, Vol.19 No.1

1-06 Michael Barkhudarov, Using Simulation to Control Microporosity Reduces Die Iterations, Die Casting Engineer, January 2006, pp. 52-54

30-05 H. Xue, K. Kabiri-Bamoradian, R.A. Miller, Modeling Dynamic Cavity Pressure and Impact Spike in Die Casting, Cast Expo โ€™05, April 16-19, 2005

22-05 Blas Melissari & Stavros A. Argyropoulous, Measurement of Magnitude and Direction of Velocity in High-Temperature Liquid Metals; Part I, Mathematical Modeling, Metallurgical and Materials Transactions B, Volume 36B, October 2005, pp. 691-700

21-05 M.R. Jolly, State of the Art Review of Use of Modeling Software for Casting, TMS Annual Meeting, Shape Casting: The John Campbell Symposium, Eds, M. Tiryakioglu & P.N Crepeau, TMS, Warrendale, PA, ISBN 0-87339-583-2, Feb 2005, pp 337-346

20-05 J-C Gebelin, M.R. Jolly & F-Y Hsu, โ€˜Designing-inโ€™ Controlled Filling Using Numerical Simulation for Gravity Sand Casting of Aluminium Alloys, TMS Annual Meeting, Shape Casting: The John Campbell Symposium, Eds, M. Tiryakioglu & P.N Crepeau, TMS, Warrendale, PA, ISBN 0-87339-583-2, Feb 2005, pp 355-364

19-05 F-Y Hsu, M.R. Jolly & J Campbell, Vortex Gate Design for Gravity Castings, TMS Annual Meeting, Shape Casting: The John Campbell Symposium, Eds, M. Tiryakioglu & P.N Crepeau, TMS, Warrendale, PA, ISBN 0-87339-583-2, Feb 2005, pp 73-82

18-05 M.R. Jolly, Modelling the Investment Casting Process: Problems and Successes, Japanese Foundry Society, JFS, Tokyo, Sept. 2005

13-05 Xiaogang Yang, Xiaobing Huang, Xiaojun Dai, John Campbell and Joe Tatler, Numerical Modelling of the Entrainment of Oxide Film Defects in Filling of Aluminium Alloy Castings, International Journal of Cast Metals Research, 17 (6), 2004, 321-331

10-05 Carlos Evaristo Esparza, Martha P. Guerro-Mata, Roger Z. Rรญos-Mercado, Optimal Design of Gating Systems by Gradient Search Methods, Computational Materials Science, October 2005

6-05 Birgit Hummler-Schaufler, Fritz Hirning, Jurgen Schaufler, A World First for Hatz Diesel and Schaufler Tooling, Die Casting Engineer, May 2005, pp. 18-21

4-05 Rolf Krack, The W35 Topicโ€”A World First, Die Casting World, March 2005, pp. 16-17

3-05 Joerg Frei, Casting Simulations Speed Up Development, Die Casting World, March 2005, p. 14

2-05 David Goettsch and Michael Barkhudarov, Analysis and Optimization of the Transient Stage of Stopper-Rod Pour, Shape Casting: The John Campbell Symposium, The Minerals, Metals & Materials Society, 2005

36-04  Ik Min Park, Il Dong Choi, Yong Ho Park, Development of Light-Weight Al Scroll Compressor for Car Air Conditioner, Materials Science Forum, Designing, Processing and Properties of Advanced Engineering Materials, 449-452, 149, March 2004.

32-04 D.H. Kirkwood and P.J Ward, Numerical Modelling of Semi-Solid Flow under Processing Conditions, steel research int. 75 (2004), No. 8/9

30-04 Haijing Mao, A Numerical Study of Externally Solidified Products in the Cold Chamber Die Casting Process, thesis: The Ohio State University, 2004 (Available upon request)

28-04 Z. Cao, Z. Yang, and X.L. Chen, Three-Dimensional Simulation of Transient GMA Weld Pool with Free Surface, Supplement to the Welding Journal, June 2004.

23-04 State of the Art Use of Computational Modelling in the Foundry Industry, 3rd International Conference Computational Modelling of Materials III, Sicily, Italy, June 2004, Advances in Science and Technology,  Eds P. Vincenzini & A Lami, Techna Group Srl, Italy, ISBN: 88-86538-46-4, Part B, pp 479-490

22-04 Jerry Fireman, Computer Simulation Helps Reduce Scrap, Die Casting Engineer, May 2004, pp. 46-49

21-04 Joerg Frei, Simulationโ€”A Safe and Quick Way to Good Components, Aluminium World, Volume 3, Issue 2, pp. 42-43

20-04 J.-C. Gebelin, M.R. Jolly, A. M. Cendrowicz, J. Cirre and S. Blackburn, Simulation of Die Filling for the Wax Injection Process โ€“ Part II Numerical Simulation, Metallurgical and Materials Transactions, Volume 35B, August 2004

14-04 Sayavur I. Bakhtiyarov, Charles H. Sherwin, and Ruel A. Overfelt, Hot Distortion Studies In Phenolic Urethane Cold Box System, American Foundry Society, 108th Casting Congress, June 12-15, 2004, Rosemont, IL, USA

13-04 Sayavur I. Bakhtiyarov and Ruel A. Overfelt, First V-Process Casting of Magnesium, American Foundry Society, 108th Casting Congress, June 12-15, 2004, Rosemont, IL, USA

5-04 C. Schlumpberger & B. Hummler-Schaufler, Produktentwicklung auf hohem Niveau (Product Development on a High Level), Druckguss Praxis, January 2004, pp 39-42 (in German).

3-04 Charles Bates, Dealing with Defects, Foundry Management and Technology, February 2004, pp 23-25

1-04 Laihua Wang, Thang Nguyen, Gary Savage and Cameron Davidson, Thermal and Flow Modeling of Ladling and Injection in High Pressure Die Casting Process, International Journal of Cast Metals Research, vol. 16 No 4 2003, pp 409-417

2-03 J-C Gebelin, AM Cendrowicz, MR Jolly, Modeling of the Wax Injection Process for the Investment Casting Process โ€“ Prediction of Defects, presented at the Third International Conference on Computational Fluid Dynamics in the Minerals and Process Industries, December 10-12, 2003, Melbourne, Australia, pp. 415-420

29-03 C. W. Hirt, Modeling Shrinkage Induced Micro-porosity, Flow Science Technical Note (FSI-03-TN66)

28-03 Thixoforming at the University of Sheffield, Diecasting World, September 2003, pp 11-12

26-03 William Walkington, Gas Porosity-A Guide to Correcting the Problems, NADCA Publication: 516

22-03 G F Yao, C W Hirt, and M Barkhudarov, Development of a Numerical Approach for Simulation of Sand Blowing and Core Formation, in Modeling of Casting, Welding, and Advanced Solidification Process-Xโ€, Ed. By Stefanescu et al pp. 633-639, 2003

21-03 E F Brush Jr, S P Midson, W G Walkington, D T Peters, J G Cowie, Porosity Control in Copper Rotor Die Castings, NADCA Indianapolis Convention Center, Indianapolis, IN September 15-18, 2003, T03-046

12-03 J-C Gebelin & M.R. Jolly, Modeling Filters in Light Alloy Casting Processes,  Trans AFS, 2002, 110, pp. 109-120

11-03 M.R. Jolly, Casting Simulation โ€“ How Well Do Reality and Virtual Casting Match โ€“ A State of the Art Review, Intl. J. Cast Metals Research, 2002, 14, pp. 303-313

10-03 Gebelin., J-C and Jolly, M.R., Modeling of the Investment Casting Process, Journal of  Materials Processing Tech., Vol. 135/2-3, pp. 291 โ€“ 300

9-03 Cox, M, Harding, R.A. and Campbell, J., Optimised Running System Design for Bottom Filled Aluminium Alloy 2L99 Investment Castings, J. Mat. Sci. Tech., May 2003, Vol. 19, pp. 613-625

8-03 Von Alexander Schrey and Regina Reek, Numerische Simulation der Kernherstellung, (Numerical Simulation of Core Blowing), Giesserei, June 2003, pp. 64-68 (in German)

7-03 J. Zuidema Jr., L Katgerman, Cyclone separation of particles in aluminum DC Casting, Proceedings from the Tenth International Conference on Modeling of Casting, Welding and Advanced Solidification Processes, Destin, FL, May 2003, pp. 607-614

6-03 Jean-Christophe Gebelin and Mark Jolly, Numerical Modeling of Metal Flow Through Filters, Proceedings from the Tenth International Conference on Modeling of Casting, Welding and Advanced Solidification Processes, Destin, FL, May 2003, pp. 431-438

5-03 N.W. Lai, W.D. Griffiths and J. Campbell, Modelling of the Potential for Oxide Film Entrainment in Light Metal Alloy Castings, Proceedings from the Tenth International Conference on Modeling of Casting, Welding and Advanced Solidification Processes, Destin, FL, May 2003, pp. 415-422

21-02 Boris Lukezic, Case History: Process Modeling Solves Die Design Problems, Modern Casting, February 2003, P 59

20-02 C.W. Hirt and M.R. Barkhudarov, Predicting Defects in Lost Foam Castings, Modern Casting, December 2002, pp 31-33

19-02 Mark Jolly, Mike Cox, Ric Harding, Bill Griffiths and John Campbell, Quiescent Filling Applied to Investment Castings, Modern Casting, December 2002 pp. 36-38

18-02 Simulation Helps Overcome Challenges of Thin Wall Magnesium Diecasting, Foundry Management and Technology, October 2002, pp 13-15

17-02 G Messmer, Simulation of a Thixoforging Process of Aluminum Alloys with FLOW-3D, Institute for Metal Forming Technology, University of Stuttgart

16-02 Barkhudarov, Michael, Computer Simulation of Lost Foam Process, Casting Simulation Background and Examples from Europe and the USA, World Foundrymen Organization, 2002, pp 319-324

15-02 Barkhudarov, Michael, Computer Simulation of Inclusion Tracking, Casting Simulation Background and Examples from Europe and the USA, World Foundrymen Organization, 2002, pp 341-346

14-02 Barkhudarov, Michael, Advanced Simulation of the Flow and Heat Transfer of an Alternator Housing, Casting Simulation Background and Examples from Europe and the USA, World Foundrymen Organization, 2002, pp 219-228

8-02 Sayavur I. Bakhtiyarov, and Ruel A. Overfelt, Experimental and Numerical Study of Bonded Sand-Air Two-Phase Flow in PUA Process, Auburn University, 2002 American Foundry Society, AFS Transactions 02-091, Kansas City, MO

7-02 A Habibollah Zadeh, and J Campbell, Metal Flow Through a Filter System, University of Birmingham, 2002 American Foundry Society, AFS Transactions 02-020, Kansas City, MO

6-02 Phil Ward, and Helen Atkinson, Final Report for EPSRC Project: Modeling of Thixotropic Flow of Metal Alloys into a Die, GR/M17334/01, March 2002, University of Sheffield

5-02 S. I. Bakhtiyarov and R. A. Overfelt, Numerical and Experimental Study of Aluminum Casting in Vacuum-sealed Step Molding, Auburn University, 2002 American Foundry Society, AFS Transactions 02-050, Kansas City, MO

4-02 J. C. Gebelin and M. R. Jolly, Modelling Filters in Light Alloy Casting Processes, University of Birmingham, 2002 American Foundry Society AFS Transactions 02-079, Kansas City, MO

3-02 Mark Jolly, Mike Cox, Jean-Christophe Gebelin, Sam Jones, and Alex Cendrowicz, Fundamentals of Investment Casting (FOCAST), Modelling the Investment Casting Process, Some preliminary results from the UK Research Programme, IRC in Materials, University of Birmingham, UK, AFS2001

49-01   Hua Bai and Brian G. Thomas, Bubble formation during horizontal gas injection into downward-flowing liquid, Metallurgical and Materials Transactions B, Vol. 32, No. 6, pp. 1143-1159, 2001. doi.org/10.1007/s11663-001-0102-y

45-01 Jan Zuidema; Laurens Katgerman; Ivo J. Opstelten;Jan M. Rabenberg, Secondary Cooling in DC Casting: Modelling and Experimental Results, TMS 2001, New Orleans, Louisianna, February 11-15, 2001

43-01 James Andrew Yurko, Fluid Flow Behavior of Semi-Solid Aluminum at High Shear Rates,Ph.D. thesis; Massachusetts Institute of Technology, June 2001. Abstract only; full thesis available at http://dspace.mit.edu/handle/1721.1/8451 (for a fee).

33-01 Juang, S.H., CAE Application on Design of Die Casting Dies, 2001 Conference on CAE Technology and Application, Hsin-Chu, Taiwan, November 2001, (article in Chinese with English-language abstract)

32-01 Juang, S.H. and C. M. Wang, Effect of Feeding Geometry on Flow Characteristics of Magnesium Die Casting by Numerical Analysis, The Preceedings of 6th FADMA Conference, Taipei, Taiwan, July 2001, Chinese language with English abstract

26-01 C. W. Hirt., Predicting Defects in Lost Foam Castings, December 13, 2001

21-01 P. Scarber Jr., Using Liquid Free Surface Areas as a Predictor of Reoxidation Tendency in Metal Alloy Castings, presented at the Steel Foundersโ€™ Society of American, Technical and Operating Conference, October 2001

20-01 P. Scarber Jr., J. Griffin, and C. E. Bates, The Effect of Gating and Pouring Practice on Reoxidation of Steel Castings, presented at the Steel Foundersโ€™ Society of American, Technical and Operating Conference, October 2001

19-01 L. Wang, T. Nguyen, M. Murray, Simulation of Flow Pattern and Temperature Profile in the Shot Sleeve of a High Pressure Die Casting Process, CSIRO Manufacturing Science and Technology, Melbourne, Victoria, Australia, Presented by North American Die Casting Association, Oct 29-Nov 1, 2001, Cincinnati, To1-014

18-01 Rajiv Shivpuri, Venkatesh Sankararaman, Kaustubh Kulkarni, An Approach at Optimizing the Ingate Design for Reducing Filling and Shrinkage Defects, The Ohio State University, Columbus, OH, Presented by North American Die Casting Association, Oct 29-Nov 1, 2001, Cincinnati, TO1-052

5-01 Michael Barkhudarov, Simulation Helps Overcome Challenges of Thin Wall Magnesium Diecasting, Diecasting World, March 2001, pp. 5-6

2-01 J. Grindling, Customized CFD Codes to Simulate Casting of Thermosets in Full 3D, Electrical Manufacturing and Coil Winding 2000 Conference, October 31-November 2, 20

20-00 Richard Schuhmann, John Carrig, Thang Nguyen, Arne Dahle, Comparison of Water Analogue Modelling and Numerical Simulation Using Real-Time X-Ray Flow Data in Gravity Die Casting, Australian Die Casting Association Die Casting 2000 Conference, September 3-6, 2000, Melbourne, Victoria, Australia

15-00 M. Sirvio, Vainola, J. Vartianinen, M. Vuorinen, J. Orkas, and S. Devenyi, Fluid Flow Analysis for Designing Gating of Aluminum Castings, Proc. NADCA Conf., Rosemont, IL, Nov 6-8, 1999

14-00 X. Yang, M. Jolly, and J. Campbell, Reduction of Surface Turbulence during Filling of Sand Castings Using a Vortex-flow Runner, Conference for Modeling of Casting, Welding, and Advanced Solidification Processes IX, Aachen, Germany, August 2000

13-00 H. S. H. Lo and J. Campbell, The Modeling of Ceramic Foam Filters, Conference for Modeling of Casting, Welding, and Advanced Solidification Processes IX, Aachen, Germany, August 2000

12-00 M. R. Jolly, H. S. H. Lo, M. Turan and J. Campbell, Use of Simulation Tools in the Practical Development of a Method for Manufacture of Cast Iron Camshafts,โ€ Conference for Modeling of Casting, Welding, and Advanced Solidification Processes IX, Aachen, Germany, August, 2000

14-99 J Koke, and M Modigell, Time-Dependent Rheological Properties of Semi-solid Metal Alloys, Institute of Chemical Engineering, Aachen University of Technology, Mechanics of Time-Dependent Materials 3: 15-30, 1999

12-99 Grun, Gerd-Ulrich, Schneider, Wolfgang, Ray, Steven, Marthinusen, Jan-Olaf, Recent Improvements in Ceramic Foam Filter Design by Coupled Heat and Fluid Flow Modeling, Proc TMS Annual Meeting, 1999, pp. 1041-1047

10-99 Bongcheol Park and Jerald R. Brevick, Computer Flow Modeling of Cavity Pre-fill Effects in High Pressure Die Casting, NADCA Proceedings, Cleveland T99-011, November, 1999

8-99 Brad Guthrie, Simulation Reduces Aluminum Die Casting Cost by Reducing Volume, Die Casting Engineer Magazine, September/October 1999, pp. 78-81

7-99 Fred L. Church, Virtual Reality Predicts Cast Metal Flow, Modern Metals, September, 1999, pp. 67F-J

19-98 Grun, Gerd-Ulrich, & Schneider, Wolfgang, Numerical Modeling of Fluid Flow Phenomena in the Launder-integrated Tool Within Casting Unit Development, Proc TMS Annual Meeting, 1998, pp. 1175-1182

18-98 X. Yang & J. Campbell, Liquid Metal Flow in a Pouring Basin, Int. J. Cast Metals Res, 1998, 10, pp. 239-253

15-98 R. Van Tol, Mould Filling of Horizontal Thin-Wall Castings, Delft University Press, The Netherlands, 1998

14-98 J. Daughtery and K. A. Williams, Thermal Modeling of Mold Material Candidates for Copper Pressure Die Casting of the Induction Motor Rotor Structure, Proc. Intโ€™l Workshop on Permanent Mold Casting of Copper-Based Alloys, Ottawa, Ontario, Canada, Oct. 15-16, 1998

10-98 C. W. Hirt, and M.R. Barkhudarov, Lost Foam Casting Simulation with Defect Prediction, Flow Science Inc, presented at Modeling of Casting, Welding and Advanced Solidification Processes VIII Conference, June 7-12, 1998, Catamaran Hotel, San Diego, California

9-98 M. R. Barkhudarov and C. W. Hirt, Tracking Defects, Flow Science Inc, presented at the 1st International Aluminum Casting Technology Symposium, 12-14 October 1998, Rosemont, IL

5-98 J. Righi, Computer Simulation Helps Eliminate Porosity, Die Casting Management Magazine, pp. 36-38, January 1998

3-98 P. Kapranos, M. R. Barkhudarov, D. H. Kirkwood, Modeling of Structural Breakdown during Rapid Compression of Semi-Solid Alloy Slugs, Dept. Engineering Materials, The University of Sheffield, Sheffield S1 3JD, U.K. and Flow Science Inc, USA, Presented at the 5th International Conference Semi-Solid Processing of Alloys and Composites, Colorado School of Mines, Golden, CO, 23-25 June 1998

1-98 U. Jerichow, T. Altan, and P. R. Sahm, Semi Solid Metal Forming of Aluminum Alloys-The Effect of Process Variables Upon Material Flow, Cavity Fill and Mechanical Properties, The Ohio State University, Columbus, OH, published in Die Casting Engineer, p. 26, Jan/Feb 1998

8-97 Michael Barkhudarov, High Pressure Die Casting Simulation Using FLOW-3D, Die Casting Engineer, 1997

15-97 M. R. Barkhudarov, Advanced Simulation of the Flow and Heat Transfer Process in Simultaneous Engineering, Flow Science report, presented at the Casting 1997 โ€“ International ADI and Simulation Conference, Helsinki, Finland, May 28-30, 1997

14-97 M. Ranganathan and R. Shivpuri, Reducing Scrap and Increasing Die Life in Low Pressure Die Casting through Flow Simulation and Accelerated Testing, Dept. Welding and Systems Engineering, Ohio State University, Columbus, OH, presented at 19th International Die Casting Congress & Exposition, November 3-6, 1997

13-97 J. Koke, Modellierung und Simulation der FlieรŸeigenschaften teilerstarrter Metallegierungen, Livt Information, Institut fรผr Verfahrenstechnik, RWTH Aachen, October 1997

10-97 J. P. Greene and J. O. Wilkes, Numerical Analysis of Injection Molding of Glass Fiber Reinforced Thermoplastics โ€“ Part 2 Fiber Orientation, Body-in-White Center, General Motors Corp. and Dept. Chemical Engineering, University of Michigan, Polymer Engineering and Science, Vol. 37, No. 6, June 1997

9-97 J. P. Greene and J. O. Wilkes, Numerical Analysis of Injection Molding of Glass Fiber Reinforced Thermoplastics. Part 1 โ€“ Injection Pressures and Flow, Manufacturing Center, General Motors Corp. and Dept. Chemical Engineering, University of Michigan, Polymer Engineering and Science, Vol. 37, No. 3, March 1997

8-97 H. Grazzini and D. Nesa, Thermophysical Properties, Casting Simulation and Experiments for a Stainless Steel, AT Systemes (Renault) report, presented at the Solidification Processing โ€™97 Conference, July 7-10, 1997, Sheffield, U.K.

7-97 R. Van Tol, L. Katgerman and H. E. A. Van den Akker, Horizontal Mould Filling of a Thin Wall Aluminum Casting, Laboratory of Materials report, Delft University, presented at the Solidification Processing โ€™97 Conference, July 7-10, 1997, Sheffield, U.K.

6-97 M. R. Barkhudarov, Is Fluid Flow Important for Predicting Solidification, Flow Science report, presented at the Solidification Processing โ€™97 Conference, July 7-10, 1997, Sheffield, U.K.

22-96 Grun, Gerd-Ulrich & Schneider, Wolfgang, 3-D Modeling of the Start-up Phase of DC Casting of Sheet Ingots, Proc TMS Annual Meeting, 1996, pp. 971-981

9-96 M. R. Barkhudarov and C. W. Hirt, Thixotropic Flow Effects under Conditions of Strong Shear, Flow Science report FSI96-00-2, to be presented at the โ€œMaterials Week โ€™96โ€ TMS Conference, Cincinnati, OH, 7-10 October 1996

4-96 C. W. Hirt, A Computational Model for the Lost Foam Process, Flow Science final report, February 1996 (FSI-96-57-R2)

3-96 M. R. Barkhudarov, C. L. Bronisz, C. W. Hirt, Three-Dimensional Thixotropic Flow Model, Flow Science report, FSI-96-00-1, published in the proceedings of (pp. 110- 114) and presented at the 4th International Conference on Semi-Solid Processing of Alloys and Composites, The University of Sheffield, 19-21 June 1996

1-96 M. R. Barkhudarov, J. Beech, K. Chang, and S. B. Chin, Numerical Simulation of Metal/Mould Interfacial Heat Transfer in Casting, Dept. Mech. & Process Engineering, Dept. Engineering Materials, University of Sheffield and Flow Science Inc, 9th Int. Symposium on Transport Phenomena in Thermal-Fluid Engineering, June 25-28, 1996, Singapore

11-95 Barkhudarov, M. R., Hirt, C.W., Casting Simulation Mold Filling and Solidification-Benchmark Calculations Using FLOW-3D, Modeling of Casting, Welding, and Advanced Solidification Processes VII, pp 935-946

10-95 Grun, Gerd-Ulrich, & Schneider, Wolfgang, Optimal Design of a Distribution Pan for Level Pour Casting, Proc TMS Annual Meeting, 1995, pp. 1061-1070

9-95 E. Masuda, I. Itoh, K. Haraguchi, Application of Mold Filling Simulation to Die Casting Processes, Honda Engineering Co., Ltd., Tochigi, Japan, presented at the Modelling of Casting, Welding and Advanced Solidification Processes VII, The Minerals, Metals & Materials Society, 1995

6-95 K. Venkatesan, Experimental and Numerical Investigation of the Effect of Process Parameters on the Erosive Wear of Die Casting Dies, presented for Ph.D. degree at Ohio State University, 1995

5-95 J. Righi, A. F. LaCamera, S. A. Jones, W. G. Truckner, T. N. Rouns, Integration of Experience and Simulation Based Understanding in the Die Design Process, Alcoa Technical Center, Alcoa Center, PA 15069, presented by the North American Die Casting Association, 1995

2-95 K. Venkatesan and R. Shivpuri, Numerical Simulation and Comparison with Water Modeling Studies of the Inertia Dominated Cavity Filling in Die Casting, NUMIFORM, 1995

1-95 K. Venkatesan and R. Shivpuri, Numerical Investigation of the Effect of Gate Velocity and Gate Size on the Quality of Die Casting Parts, NAMRC, 1995.

15-94 D. Liang, Y. Bayraktar, S. A. Moir, M. Barkhudarov, and H. Jones, Primary Silicon Segregation During Isothermal Holding of Hypereutectic AI-18.3%Si Alloy in the Freezing Range, Dept. of Engr. Materials, U. of Sheffield, Metals and Materials, February 1994

13-94 Deniece Korzekwa and Paul Dunn, A Combined Experimental and Modeling Approach to Uranium Casting, Materials Division, Los Alamos National Laboratory, presented at the Symposium on Liquid Metal Processing and Casting, El Dorado Hotel, Santa Fe, New Mexico, 1994

12-94 R. van Tol, H. E. A. van den Akker and L. Katgerman, CFD Study of the Mould Filling of a Horizontal Thin Wall Aluminum Casting, Delft University of Technology, Delft, The Netherlands, HTD-Vol. 284/AMD-Vol. 182, Transport Phenomena in Solidification, ASME 1994

11-94 M. R. Barkhudarov and K. A. Williams, Simulation of โ€˜Surface Turbulenceโ€™ Fluid Phenomena During the Mold Filling Phase of Gravity Castings, Flow Science Technical Note #41, November 1994 (FSI-94-TN41)

10-94 M. R. Barkhudarov and S. B. Chin, Stability of a Numerical Algorithm for Gas Bubble Modelling, University of Sheffield, Sheffield, U.K., International Journal for Numerical Methods in Fluids, Vol. 19, 415-437 (1994)

16-93 K. Venkatesan and R. Shivpuri, Numerical Simulation of Die Cavity Filling in Die Castings and an Evaluation of Process Parameters on Die Wear, Dept. of Industrial Systems Engineering, Presented by: N.A. Die Casting Association, Cleveland, Ohio, October 18-21, 1993

15-93 K. Venkatesen and R. Shivpuri, Numerical Modeling of Filling and Solidification for Improved Quality of Die Casting: A Literature Survey (Chapters II and III), Engineering Research Center for Net Shape Manufacturing, Report C-93-07, August 1993, Ohio State University

1-93 P-E Persson, Computer Simulation of the Solidification of a Hub Carrier for the Volvo 800 Series, AB Volvo Technological Development, Metals Laboratory, Technical Report No. LM 500014E, Jan. 1993

13-92 D. R. Korzekwa, M. A. K. Lewis, Experimentation and Simulation of Gravity Fed Lead Castings, in proceedings of a TMS Symposium on Concurrent Engineering Approach to Materials Processing, S. N. Dwivedi, A. J. Paul and F. R. Dax, eds., TMS-AIME Warrendale, p. 155 (1992)

12-92 M. A. K. Lewis, Near-Net-Shaiconpe Casting Simulation and Experimentation, MST 1992 Review, Los Alamos National Laboratory

2-92 M. R. Barkhudarov, H. You, J. Beech, S. B. Chin, D. H. Kirkwood, Validation and Development of FLOW-3D for Casting, School of Materials, University of Sheffield, Sheffield, UK, presented at the TMS/AIME Annual Meeting, San Diego, CA, March 3, 1992

1-92 D. R. Korzekwa and L. A. Jacobson, Los Alamos National Laboratory and C.W. Hirt, Flow Science Inc, Modeling Planar Flow Casting with FLOW-3D, presented at the TMS/AIME Annual Meeting, San Diego, CA, March 3, 1992

12-91 R. Shivpuri, M. Kuthirakulathu, and M. Mittal, Nonisothermal 3-D Finite Difference Simulation of Cavity Filling during the Die Casting Process, Dept. Industrial and Systems Engineering, Ohio State University, presented at the 1991 Winter Annual ASME Meeting, Atlanta, GA, Dec. 1-6, 1991

3-91 C. W. Hirt, FLOW-3D Study of the Importance of Fluid Momentum in Mold Filling, presented at the 18th Annual Automotive Materials Symposium, Michigan State University, Lansing, MI, May 1-2, 1991 (FSI-91-00-2)

11-90 N. Saluja, O.J. Ilegbusi, and J. Szekely, On the Calculation of the Electromagnetic Force Field in the Circular Stirring of Metallic Melts, accepted in J. Appl. Physics, 1990

10-90 N. Saluja, O. J. Ilegbusi, and J. Szekely, On the Calculation of the Electromagnetic Force Field in the Circular Stirring of Metallic Molds in Continuous Castings, presented at the 6th Iron and Steel Congress of the Iron and Steel Institute of Japan, Nagoya, Japan, October 1990

9-90 N. Saluja, O. J. Ilegbusi, and J. Szekely, Fluid Flow in Phenomena in the Electromagnetic Stirring of Continuous Casting Systems, Part I. The Behavior of a Cylindrically Shaped, Laboratory Scale Installation, accepted for publication in Steel Research, 1990

8-89 C. W. Hirt, Gravity-Fed Casting, Flow Science Technical Note #20, July 1989 (FSI-89-TN20)

6-89 E. W. M. Hansen and F. Syvertsen, Numerical Simulation of Flow Behaviour in Moldfilling for Casting Analysis, SINTEF-Foundation for Scientific and Industrial Research at the Norwegian Institute of Technology, Trondheim, Norway, Report No. STS20 A89001, June 1989

1-88 C. W. Hirt and R. P. Harper, Modeling Tests for Casting Processes, Flow Science report, Jan. 1988 (FSI-88-38-01)

2-87 C. W. Hirt, Addition of a Solidification/Melting Model to FLOW-3D, Flow Science report, April 1987 (FSI-87-33-1)

Tilt Pour Casting Workspace, ๊ฒฝ๋™์ฃผ์กฐ

Tilt Pour Casting Workspace Highlights, ๊ฒฝ๋™์ฃผ์กฐ

  • ๊ธˆํ˜•์˜ ๋ชจ์…˜ ์ œ์–ด
  • ์ตœ์ฒจ๋‹จ ๊ธˆํ˜•์˜จ๋„๊ด€๋ฆฌ, ๋™์  ๋ƒ‰๊ฐ ์ฑ„๋„, ์Šคํ”„๋ ˆ์ด ๋ƒ‰๊ฐ, ๊ธˆํ˜•์˜จ๋„ ์‹ธ์ดํด๋ง
  • ์ •ํ™•ํ•œ ๊ฐ€์Šค ๊ณ ๋ฆฝ ๋ฐ ๊ธฐ๊ณต ์˜ˆ์ธก

Workspace Overview

๊ฒฝ๋™์ฃผ์กฐ(Tilt Pour Casting) Workspace๋Š” ์—”์ง€๋‹ˆ์–ด๊ฐ€ FLOW-3D  CAST๋กœ ๊ฒฝ๋™์ฃผ์กฐ(Tilt Pour Casting)์„ ์„ฑ๊ณต์ ์œผ๋กœ ๋ชจ๋ธ๋ง ํ•  ์ˆ˜ ์žˆ๋„๋ก ์„ค๊ณ„๋œ ์ง๊ด€์ ์ธ ๋ชจ๋ธ๋ง ํ™˜๊ฒฝ์ž…๋‹ˆ๋‹ค . ์ž‘์—… ๊ณต๊ฐ„์—๋Š” ํ”„๋กœ์„ธ์Šค๋ณ„ ํŠน์ • ๋‹ค์ด ๋ฐ ์žฌ๋ฃŒ ์œ ํ˜•์ด ํฌํ•จ๋˜์–ด ์žˆ์œผ๋ฉฐ, ์ •ํ™•ํ•œ ๊ธฐ๊ณ„ ๊ธฐ๋Šฅ์— ๋งž๊ฒŒ ํšŒ์ „ ๋™์ž‘์„ ์‰ฝ๊ฒŒ ์ •์˜ ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. 

๊ธฐํฌ ๊ฒฐํ•จ์˜ ์™„์ „ํ•œ ๋ถ„์„์„ ์œ„ํ•ด ์ถฉ์ง„ ๋ถ„์„์— ๋ฒคํŠธ ๋ฐ ๋ฐฐ์••์ด ํฌํ•จ๋˜์–ด ์žˆ์œผ๋ฉฐ, ๋‹ค์ด์‚ฌ์ดํด๋ง ๋ฐ ์ตœ์‹  ์‘๊ณ  ๋ชจ๋ธ์€ ์ž‘์—… ๊ณต๊ฐ„์˜ ํ•˜์œ„ ํ”„๋กœ์„ธ์Šค ์•„ํ‚คํ…์ฒ˜๋ฅผ ํ†ตํ•ด ์ถฉ์ง„์‹œ ๋งค๋„๋Ÿฝ๊ฒŒ ์—ฐ๊ฒฐ๋ฉ๋‹ˆ๋‹ค. Tilt Pour Casting Workspace๋Š” ๋‹จ์ˆœํ•˜์ง€๋งŒ ๋‹ค์–‘ํ•œ ๋ชจ๋ธ๋ง ํ™˜๊ฒฝ์—์„œ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์˜ ๋ชจ๋“  ์ธก๋ฉด์„ ์œ„ํ•œ ์™„์ „ํ•˜๊ณ  ์ •ํ™•ํ•œ ์†”๋ฃจ์…˜์„ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค.

Tilt Pour Simulation | FLOW-3D CAST
Tilt Pour Casting | FLOW-3D CAST
8-Cavity Tilt Pour | FLOW-3D CAST v5.1

ํ”„๋กœ์„ธ์Šค ๋ชจ๋ธ๋ง

  • ํ‹ธํŠธ ์ฃผ์ž…
  • ์—ญ ํ‹ธํŠธ ์ฃผ์ž…

์œ ์—ฐํ•œ ๊ฒฉ์ž ์ƒ์„ฑ

  • FAVOR โ„ข ๋‹จ์ˆœ ๊ฒฉ์ž ์ƒ์„ฑ ๋„๊ตฌ
  • ๋ฉ€ํ‹ฐ ๋ธ”๋ก
  • Conforming mesh

๊ธˆํ˜• ์˜จ๋„ ๊ด€๋ฆฌ

  • ๋‹ค์ด ์‚ฌ์ดํด๋ง
  • ์—ด ํฌํ™”
  • ์™„์ „ ์—ด์ „๋‹ฌ ๋ชจ๋ธ๋ง

๊ณ ๊ธ‰ ์‘๊ณ 

  • ๋‹ค๊ณต์„ฑ ์˜ˆ์ธก
  • ์ˆ˜์ถ•
  • ํ•ซ์ŠคํŒŸ ์‹๋ณ„
  • ์—ด ๊ณ„์ˆ˜
  • ๊ธฐ๊ณ„์  ํŠน์„ฑ ์˜ˆ์ธก

๋ชจ๋ž˜ ์ฝ”์–ด

  • ํ•ต์‹ฌ ๊ฐ€์Šค ์ง„ํ™”
  • ์ฝ”์–ด ํŠน์„ฑ์— ๋Œ€ํ•œ ์žฌ๋ฃŒ ์ •์˜

๊ธˆํ˜• ๋™์ž‘ ์ œ์–ด

  • 6 ๊ฐœ์˜ ํšŒ์ „์ถ•
  • ํšŒ์ „ ์†๋„๋ฅผ์œ„ํ•œ ํ…Œ์ด๋ธ” ํ˜•์‹ ์ž…๋ ฅ

๊ฒฐํ•จ ์˜ˆ์ธก

  • ๋งคํฌ๋กœ ๋ฐ ๋ฏธ์„ธ ๋‹ค๊ณต์„ฑ
  • ๊ฐ€์Šค ๋‹ค๊ณต์„ฑ
  • ์กฐ๊ธฐ ์‘๊ณ 
  • ์‚ฐํ™”๋ฌผ ํ˜•์„ฑ
  • ํ‘œ๋ฉด ๊ฒฐํ•จ ๋ถ„์„

๋‹ค์ด๋‚˜๋ฏน ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ์ œ์–ด

  • ๋ชจ์…˜ ์ œ์–ด๋ฅผ์œ„ํ•œ ์ด๋ฒคํŠธ ํ”„๋กœ๋ธŒ ๊ธฐ๋ฐ˜ ํŠธ๋ฆฌ๊ฑฐ

์™„๋ฒฝํ•œ ๋ถ„์„ ํŒจํ‚ค์ง€

  • ๋‹ค์ค‘ ๋ทฐํฌํŠธ๊ฐ€์žˆ๋Š” ์• ๋‹ˆ๋ฉ”์ด์…˜-3D, 2D, ํžˆ์Šคํ† ๋ฆฌ ํ”Œ๋กฏ, ๋ณผ๋ฅจ ๋ Œ๋”๋ง
  • ๋‹ค๊ณต์„ฑ ๋ถ„์„ ๋„๊ตฌ
  • ๋ณ‘๋ ฌ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฒฐ๊ณผ ๋น„๊ต
  • ์šฉ์œต ์˜จ๋„, ๊ณ ์ฒด ๋ถ„์œจ ์ธก์ • ์šฉ ์„ผ์„œ
  • ์ž…์ž ์ถ”์ ๊ธฐ
  • ์ผ๊ด„ ๋ฐฐ์น˜ ์ฒ˜๋ฆฌ
  • ๋ณด๊ณ ์„œ ์ƒ์„ฑ

Lost Foam Casting Workspace, ์†Œ์‹ค๋ชจํ˜•์ฃผ์กฐ

Lost Foam Casting Workspace Highlights, ์†Œ์‹ค๋ชจํ˜•์ฃผ์กฐ

  • ์ตœ์ฒจ๋‹จ Foam ์ž”์—ฌ๋ฌผ ์ถ”์ 
  • ์ง„๋ณด๋œ Foam ์ฆ๋ฐœ ๋ฐ ๊ธˆ์† ์œ ๋™ ๋ชจ๋ธ๋ง
  • ์‘๊ณ , ๋‹ค๊ณต์„ฑ ๋ฐ ํ‘œ๋ฉด ๊ฒฐํ•จ ๋ถ„์„

Workspace Overview

Lost Foam Casting Workspace(์†Œ์‹ค๋ชจํ˜•์ฃผ์กฐ) ๋Š” Lost Foam Casting์— ํ•„์š”ํ•œ ์ถฉ์ง„, ์‘๊ณ  ๋ฐ ๋ƒ‰๊ฐ ํ•˜์œ„ ํ”„๋กœ์„ธ์Šค๋ฅผ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ํ•˜๋Š” ๋ชจ๋“  ๋„๊ตฌ๋ฅผ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค. ๊ฐ ํ•˜์œ„ ํ”„๋กœ์„ธ์Šค๋Š” ํ•ด์„ ์—”์ง€๋‹ˆ์–ด๊ฐ€ ์‚ฌ์šฉํ•˜๊ธฐ ์‰ฌ์šด ์ธํ„ฐํŽ˜์ด์Šค๋ฅผ ์ œ๊ณตํ•˜๋„๋ก ๋งž์ถคํ™”๋œ ํ…œํ”Œ๋ฆฟ ๋””์ž์ธ์„ ๊ธฐ๋ฐ˜์œผ๋กœํ•ฉ๋‹ˆ๋‹ค.

Lost Foam Casting ์˜ ๊ฒฐํ•จ์€ ์ถฉ์ง„ ํ”„๋กœํŒŒ์ผ์—์„œ ์ถ”์ ํ•  ์ˆ˜ ์žˆ๊ธฐ ๋•Œ๋ฌธ์—  FLOW-3D  CAST ์˜ ์šฉํƒ•์œ ๋™ ๋ฐ ์†Œ์‹ค๋ชจํ˜•(foam)์˜ ์—ฐ์†Œ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์˜ ํƒ์›”ํ•œ ์ •ํ™•๋„๋Š” ๊ณ ํ’ˆ์งˆ์˜ Lost Foam Casting ์ฃผ๋ฌผ์„ ์ƒ์‚ฐํ•˜๋Š” ๋ฐ ๊ท€์ค‘ํ•œ ํ†ต์ฐฐ๋ ฅ์„ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค. ๊ธฐํฌ. ์ž”๋ฅ˜๋ฌผ ํ˜•์„ฑ๊ณผ ๊ฐ™์€ ์ฃผ์ž… ๊ฒฐํ•จ์€ ์ตœ์ข… ์ฃผ์กฐ์—์„œ ์ •ํ™•ํ•˜๊ฒŒ ์ถ”์ ๋˜๊ณ  ์ฒ˜๋ฆฌ๋ฉ๋‹ˆ๋‹ค.

Lost Foam Casting Workspace | FLOW-3D CAST
Lost Foam Residue Tracking โ€“ Filling Simulation | FLOW-3D CAST
Lost Foam Impeller Tree – Filling Simulation | FLOW-3D CAST
Lost Foam Residue Simulation | FLOW-3D CAST

PROCESSES MODELED

  • Filling
  • Solidification
  • Cooling

FLEXIBLE MESHING

  • Structured meshing for fast, easy generation
  • Multi-block meshing for localized accuracy control
  • Foam-conforming meshes for memory optimization

MOLD MODELING

  • Ceramic filters
  • Inserts โ€“ standard and porous
  • Air vents
  • Chills
  • Insulating and exothermic sleeves
  • Moving ladles and stoppers

ADVANCED SOLIDIFICATION

  • Chemistry-based solidification
  • Dimensionless Niyama criteria
  • Cooling rates, SDAS, grain size mechanical properties

FILLING ACCURACY

  • Foam/melt interface tracking
  • Gas/bubble entrapment
  • Automatic melt flow drag calculation in filters

DEFECT PREDICTION

  • Foam residue defect tracking
  • Cold shuts
  • Porosity prediction
  • Shrinkage
  • Hot spots

DYNAMIC SIMULATION CONTROL

  • Probe-controlled pouring control

COMPLETE ANALYSIS PACKAGE

  • Animations with multi-viewports – 3D, 2D, history plots, volume rendering
  • Porosity analysis tool
  • Side-by-side simulation results comparison
  • Sensors for measuring melt temperature, solid fraction
  • Particle tracers
  • Batch post-processing
  • Report generation

Sand Core Making Workspace, ์‚ฌํ˜• ์ค‘์ž์„ฑํ˜•

Sand Core Making Workspace Highlights, ์‚ฌํ˜• ์ค‘์ž์„ฑํ˜•

  • ์„ธ๋ถ„ํ™”๋œ ํ๋ฆ„ ๊ณต๊ธฐ/๋ชจ๋ž˜ ๋ฐ ๋ชจ๋ž˜ ์ถฉ์ „
  • ์••๋ ฅ์— ์˜ํ•œ ๋ชจ๋ฐฐ ๋ฏธ์ถฉ์ง„๋ถ€ ์˜ˆ์ธก
  • ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค๋Š” ๊ฒฝํ™”๋ฅผ ์œ„ํ•œ ์œ ๊ธฐ(๊ณ ์˜จ ๋ฐ ์ €์˜จ ๋ฐ•์Šค)๋ฐ ๋ฌด๊ธฐ ๋ฐ”์ธ๋”์˜ ๋ชจ๋“  ์ž๋ฃŒ ๋ณด์œ 

Workspace Overview

Sand Core Making Workspace๋Š” ์‚ฌ์šฉ์ž์—๊ฒŒ ๋ชจ๋ž˜ ์ค‘์ž์˜ ์ถฉ์ง„ ๋ฐ ๊ฒฝํ™” ํ•ด์„์„ ์œ„ํ•œ ์‚ฌ์šฉํ•˜๊ธฐ ์‰ฌ์šด ๋„๊ตฌ๋ฅผ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค. ์‚ฌ์šฉ์ž๋Š” ๋‹ค์–‘ํ•œ ๋ชจ๋ž˜ ๋ฐ ๋ฐ”์ธ๋” ์กฐํ•ฉ์˜ shooting์„ ๋ชจ๋ธ๋งํ•˜์—ฌ ์ฝ”์–ด ๋ฐ•์Šค๊ฐ€ ์ฑ„์›Œ์ง€๋Š” ๋ฐฉ๋ฒ•์„ ์˜ˆ์ธกํ•˜๊ณ , ๋ถ€์ ํ•ฉํ•œ ์ถฉ์ „์ด ๋ฐœ์ƒํ•˜๋Š” ์ง€์—ญ์„ ์ฐพ์€ ๋‹ค์Œ ๋ฐฐ๊ธฐ๊ตฌ๋ฅผ ๋ฐฐ์น˜ํ•˜๊ณ  ํฌ๊ธฐ๋ฅผ ์กฐ์ •ํ•˜์—ฌ ํ•ด๋‹น ๊ตฌ์—ญ์˜ ์ถฉ์ „์„ ๊ฐœ์„  ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. 

์ฝœ๋“œ ๋ฐ•์Šค, ํ•ซ ๋ฐ•์Šค ๋ฐ ๋ฌด๊ธฐ ๊ณต์ •์„ ํฌํ•จํ•œ ๋ชจ๋“  ํ˜„์žฌ์˜ ์ฝ”์–ด ๊ฒฝํ™” ๊ณต์ •์„ ๋ชจ๋ธ๋งํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ๋ชจ๋ž˜ ๋ฐ€๋„ ๋ถ„ํฌ ๋ฐ ๊ณต๊ธฐ ํ๋ฆ„๊ณผ ๊ฐ™์€ shooting ํŠน์„ฑ์„ ์‰ฝ๊ฒŒ ์‹œ๊ฐํ™” ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.  

Sand Sand Core Drying | FLOW-3D CAST

Sand Core Blowing Simulation | FLOW-3D CAST
Sand Core Shooting | FLOW-3D CAST
Sand Core Shooting | FLOW-3D CAST
Sand Core Blowing Simulation | FLOW-3D CAST

๋ชจ๋ธ๋ง ๋œ ํ”„๋กœ์„ธ์Šค

  • ์ฝœ๋“œ ๋ฐ•์Šค
  • ํ•ซ ๋ฐ•์Šค
  • ๋ฌด๊ธฐ
 

์—ด ์ฝ”์–ด ๋ฐ•์Šค ๋ชจ๋ธ๋ง

  • ์ฝœ๋“œ ๋ฐ•์Šค
  • ํ•ซ ๋ฐ•์Šค
  • ๋ฌด๊ธฐ
 

๋Œ€๋ฅ˜ ๋ฐ ๋ณต์‚ฌ์—ด ์ „๋‹ฌ

 

๋งํฌ ๋œ ๋ฉ”์‹œ์™€ ์ผ์น˜ํ•˜๋Š” ๋ฉ”์‹œ๋ฅผ ํฌํ•จํ•œ ๋ฉ€ํ‹ฐ ๋ธ”๋ก ๋ฉ”์‹œ

 

์™„๋ฒฝํ•œ ๋ถ„์„ ํŒจํ‚ค์ง€

  • ๋‹ค์ค‘ ๋ทฐํฌํŠธ๊ฐ€์žˆ๋Š” ์• ๋‹ˆ๋ฉ”์ด์…˜-3D, 2D, ํžˆ์Šคํ† ๋ฆฌ ํ”Œ๋กฏ, ๋ณผ๋ฅจ ๋ Œ๋”๋ง
  • ๋‹ค๊ณต์„ฑ ๋ถ„์„ ๋„๊ตฌ
  • ๋ณ‘๋ ฌ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฒฐ๊ณผ ๋น„๊ต
  • ์šฉ์œต ์˜จ๋„, ๊ณ ์ฒด ๋ถ„์œจ ์ธก์ • ์šฉ ์„ผ์„œ
  • ์ž…์ž ์ถ”์ ๊ธฐ
  • ๋ฐฐ์น˜ ํ›„ ์ฒ˜๋ฆฌ
  • ๋ณด๊ณ ์„œ ์ƒ์„ฑ

Sand Casting Workspace, ์‚ฌํ˜•์ฃผ์กฐ

Sand Casting Workspace Highlights, ์‚ฌํ˜•์ฃผ์กฐ

  • ๋ชจ๋ž˜ ํŠน์„ฑ์˜ ํ†ตํ•ฉ์—๋Š” ํˆฌ๊ณผ์„ฑ, ์ฝ”์–ด ๊ฐ€์Šค ๋ฐ ์ˆ˜๋ถ„ ํ•จ๋Ÿ‰์ด ํฌํ•จ๋ฉ๋‹ˆ๋‹ค.
  • ์ฃผ์ž… ์ปต ์ฑ„์šฐ๊ธฐ ์กฐ๊ฑด์— ๋”ฐ๋ผ ๋™์  ๋ž˜๋“ค ์ฃผ์ž… ๋ฐ ๋™์  ๋ž˜๋“ค ๋™์ž‘
  • ์ฒจ๋‹จ ์†”๋ฃจ์…˜์„ ํ†ตํ•ด ์ •ํ™•ํ•œ ๊ฐ€์Šค ํฌ์ง‘ ๋ฐ ๋‹ค๊ณต์„ฑ ์ œ๊ณต

Workspace Overview

Sand Casting Workspace(์‚ฌํ˜•์ฃผ์กฐ)๋Š” ์ƒŒ๋“œ ์บ์Šคํ„ฐ์— ์ฃผ์ž…, ์‘๊ณ  ๋ฐ ๋ƒ‰๊ฐ ๋ถ„์„์„ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ํ•˜๋Š” ๋ฐ ํ•„์š”ํ•œ ๋ชจ๋“  ๋„๊ตฌ๋ฅผ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค. Sand Casting Workspace๋Š” ์—”์ง€๋‹ˆ์–ด์˜ ์–ธ์–ด๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ, ์‚ฌ์šฉ์ด ๊ฐ„ํŽธํ•œ ์ธํ„ฐํŽ˜์ด์Šค๋ฅผ ์ œ๊ณตํ•˜๋„๋ก ์„ค๊ณ„๋˜์–ด ์žˆ์Šต๋‹ˆ๋‹ค.

์‚ฌํ˜•์ฃผ์กฐ์˜ ๊ฒฐํ•จ์€ ํ”ํžˆ ์ถฉ์ „ ๋‹จ๊ณ„์—์„œ ์ถ”์ ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. FLOW3D CAST๋Š” ๋›ฐ์–ด๋‚œ ๊ธˆ์† ํ๋ฆ„ ์˜ˆ์ธก์— ๋Œ€ํ•ด ๋›ฐ์–ด๋‚œ ์ •ํ™•๋„๋ฅผ ์ œ๊ณตํ•˜์—ฌ, ์‰ฝ๊ฒŒ ๊ฒฐํ•จ์„ ํŒŒ์•…ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์‚ฐํ™”๋ฌผ ํ˜•์„ฑ ๋ฐ ์ฝœ๋“œ์ƒท์„ ์ •ํ™•ํ•˜๊ฒŒ ์ถ”์ ํ•˜์—ฌ ์ตœ์ข… ์ฃผ๋ฌผ์—์„œ์˜ ๋ฐœ์ƒ ์œ„์น˜๋ฅผ ํ™•์ธํ•ฉ๋‹ˆ๋‹ค. ์••ํƒ•์˜ ํฌ๊ธฐ๋ฅผ ์กฐ์ •ํ•˜๊ณ  ํ•ซ ์ŠคํŒŸ(์ตœ์ข…์‘๊ณ ๋ถ€)์— ๋ฐฐ์น˜ํ•˜๋Š” ํ•œํŽธ, ์ง„๋ณด๋œ ์‘๊ณ  ๋ฐ ์ˆ˜์ถ• ๋ถ„์„์„ ํ†ตํ•ด ๊ฐ€์žฅ ๊นŒ๋‹ค๋กœ์šด ์ œ์กฐ ํ™˜๊ฒฝ์—์„œ๋„ ์ตœ์ข…์ ์œผ๋กœ ์ตœ์ ํ™”๋œ ์„ค๊ณ„๋ฅผ ๋‹ฌ์„ฑํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

ํ”„๋กœ์„ธ์Šค ๋ชจ๋ธ๋ง

  • ์ถฉ์ „์žฌ
  • ์‘๊ณ 
  • ๋ƒ‰๊ฐ

์œ ์—ฐํ•œ ๋ฉ”์‰ฌ

  • ๋น ๋ฅด๊ณ  ์‰ฌ์šด ์ƒ์„ฑ์„ ์œ„ํ•œ ์ฒด๊ณ„์ ์ธ ๋ฉ”์‰ฌ
  • ๊ตญ์ง€์ ์ธ ์ •ํ™•๋„ ์ œ์–ด๋ฅผ ์œ„ํ•œ ๋ฉ€ํ‹ฐ ๋ธ”๋ก ๋ฉ”์‰ฌ
  • ๋ฉ”๋ชจ๋ฆฌ ์ตœ์ ํ™”๋ฅผ ์œ„ํ•œ ์บ์ŠคํŒ… ์ ํ•ฉ ๋ฉ”์‰ฌ

์ฃผํ˜• ๋ชจ๋ธ๋ง

  • ๊ฐ€์Šค ๋ฐ ์ˆ˜๋ถ„ ๋ฐฐ์ถœ์ด ๊ฐ€๋Šฅํ•œ ํˆฌ๊ณผ์„ฑ ๊ธˆํ˜•
  • ๊ตญ์†Œ ๋ƒ‰๊ฐ์„ ์œ„ํ•œ ์ฝ”์ผ
  • ๋‹ค๊ณต์„ฑ ๋ฐ ํ‘œ์ค€ ์ธ์„œํŠธ
  • ์„ธ๋ผ๋ฏน ํ•„ํ„ฐ
  • ๊ณต๊ธฐ ํ†ต๋กœ

๊ณ ๊ธ‰ ์‘๊ณ 

  • ํ™”ํ•™ ๊ธฐ๋ฐ˜ ์‘๊ณ 
  • ์น˜์ˆ˜ ์—†๋Š” ๋‹ˆ์•ผ๋งˆ(Niyama ) ๊ธฐ์ค€
  • ๋ƒ‰๊ฐ ์†๋„, SDAS, ์ž…์ž ํฌ๊ธฐ ๊ธฐ๊ณ„์  ํŠน์„ฑ

์ถฉ์ „ ์ •ํ™•๋„

  • ๊ฐ€์Šค/๋ฒ„๋ธ” ํฌํš
  • ํ‘œ๋ฉด ์‚ฐํ™”๋ฌผ ํ˜•์„ฑ
  • ํ•„ํ„ฐ์˜ ์ž๋™ ๋“œ๋ž˜๊ทธ ๊ณ„์‚ฐ
  • ๋‚œ๋ฅ˜ ๋ชจ๋ธ๋ง

์ฝ”์–ด ๋ชจ๋ธ๋ง

  • ๊ฐ€์Šค ์ƒ์„ฑ์„ ํฌํ•จํ•œ ๋ชจ๋ž˜ ์ฝ”์–ด
  • ์†Œ๊ธˆ ์ฝ”์–ด

๊ฒฐํ•จ ์˜ˆ์ธก

  • ํ˜ผ์ž… ๊ณต๊ธฐ
  • ์‚ฐํ™”๋ฌผ ํ˜•์„ฑ ๋ฐ ์ถ”์ 
  • ์ฝœ๋“œ ์ƒท
  • ๋‹ค๊ณต์„ฑ ์˜ˆ์ธก
  • ์ˆ˜์ถ•
  • ํ•ซ ์ŠคํŒŸ

๋ผ์ด์ € ๊ณต๊ตฌ

  • ๋ฐœ์—ด์ฒด ์กฐ๋ฆฝ์ฒด
  • ์ ˆ์—ฐ ๋ฐ ๋ฐœ์—ด ์Šฌ๋ฆฌ๋ธŒ

์™„์ „ํ•œ ๋ถ„์„

  • ๋‹ค์ค‘ ๋ทฐ ํฌํŠธ๋ฅผ ์‚ฌ์šฉํ•œ ์• ๋‹ˆ๋ฉ”์ด์…˜-3D, 2D, ๊ธฐ๋ก ํ”Œ๋กฏ, ๋ณผ๋ฅจ ๋ Œ๋”๋ง
  • ๋‹ค๊ณต์„ฑ ๋ถ„์„ ๋„๊ตฌ
  • ์‚ฌ์ด๋“œ ๋ฐ”์ด ์‚ฌ์ด๋“œ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฒฐ๊ณผ ๋น„๊ต
  • ์šฉํ•ด ์˜จ๋„, ๊ณ ์ฒด ๋ถ€๋ถ„์„ ์ธก์ •ํ•˜๊ธฐ ์œ„ํ•œ ์„ผ์„œ
  • ์ž…์ž ์ถ”์ ๊ธฐ
  • ์ผ๊ด„ ์ฒ˜๋ฆฌ
  • ๋ณด๊ณ ์„œ ์ƒ์„ฑ

Low Pressure Die Casting Workspace, ์ €์••์ฃผ์กฐ

Workspace Highlights, ์ €์••์ฃผ์กฐ

  • ๋งค์šฐ ์ •ํ™•ํ•œ ์ถฉ์ง„์„ ์œ„ํ•œ ์••๋ ฅ ์ œ์–ด ์ฃผ์ž…
  • ๊ณต๊ทน, ๋ฐฐ๊ธฐ ๋ฐ ์—ญ์•• ํšจ๊ณผ๋ฅผ ํฌํ•จํ•œ ์ „์ฒด ํ”„๋กœ์„ธ์Šค ๋ชจ๋ธ๋ง
  • ๋‹ค๊ณต์„ฑ๊ณผ ๊ฐ™์€ ์ •๋ฐ€ํ•œ ์กฐ๊ธฐ ๋™๊ฒฐ ๋ฐ ์‘๊ณ  ๊ฒฐํ•จ์„ ํ•ด๊ฒฐํ•˜๊ธฐ ์œ„ํ•œ ํ–ฅ์ƒ๋œ ์‘๊ณ  ๋ฐ ์—ด ์ „๋‹ฌ ์ œ์–ด

Workspace Overview

์ €์••์ฃผ์กฐ Workspace ๋Š” ์—”์ง€๋‹ˆ์–ด๊ฐ€ FLOW-3D CAST๋ฅผ ํ†ตํ•ด ์ €์••์ฃผ์กฐ ์ œํ’ˆ์„ ์„ฑ๊ณต์ ์œผ๋กœ ๋ชจ๋ธ๋งํ•˜๋„๋ก ์„ค๊ณ„๋œ ์ง๊ด€์ ์ธ ๋ชจ๋ธ๋ง ํ™˜๊ฒฝ์ž…๋‹ˆ๋‹ค. 

์œ ์—ฐํ•œ ์••๋ ฅ ์ œ์–ด๋ฅผ ํ†ตํ•ด ์—”์ง€๋‹ˆ์–ด๋Š” ๊ฐ€์••, ๋ฒคํŠธ ๋ฐ ๋ฐฐ์•• ์กฐ๊ฑด์„ ์ •ํ™•ํ•˜๊ฒŒ ์žฌํ˜„ํ•˜์—ฌ ์ฃผ์ž…, ๊ณต๊ธฐ ๊ฐ‡ํž˜ ๋ฐ ๋ฏธ์„ธ์ˆ˜์ถ•๊ฒฐํ•จ์— ๋Œ€ํ•œ ์™„์ „ํ•œ ๋ถ„์„์„ ์ˆ˜ํ–‰ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

๊ธˆํ˜•์˜จ๋„ํ•ด์„ ๋ฐ ์ตœ์ฒจ๋‹จ ์‘๊ณ  ๋ชจ๋ธ์€ ์ž‘์—… ๊ณต๊ฐ„์˜ ์„œ๋ธŒ ํ”„๋กœ์„ธ์Šค ์•„ํ‚คํ…์ฒ˜๋ฅผ ํ†ตํ•ด ์›ํ™œํ•˜๊ฒŒ ์ถฉ์ „ ์ƒํƒœ์— ์—ฐ๊ฒฐ๋ฉ๋‹ˆ๋‹ค. ์ €์••์ฃผ์กฐ Workspace์€ ๋‹จ์ˆœํ•˜๋ฉด์„œ๋„ ๋‹ค๋ชฉ์  ๋ชจ๋ธ๋ง ํ™˜๊ฒฝ์—์„œ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์˜ ๋ชจ๋“  ์ธก๋ฉด์„ ์œ„ํ•œ ์™„์ „ํ•˜๊ณ  ์ •ํ™•ํ•œ ์†”๋ฃจ์…˜์„ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค.

ํ”„๋กœ์„ธ์Šค ๋ชจ๋ธ๋ง

  • ์ค‘๋ ฅ ์ € ์••๋ ฅ ๋‹ค์ด ์บ์ŠคํŠธ ์ฃผ์กฐ

์œ ์—ฐํ•œ ๋ฉ”์‰ฌ

  • FAVORโ„ข๋‹จ์ˆœ ๋ฉ”์‹œ ์ƒ์„ฑ ๋„๊ตฌ
  • ๋ฉ€ํ‹ฐ ๋ธ”๋ก ๋ฉ”์‰ฌ
  • ์ค‘์ฒฉ๋œ ๋ฉ”์‰ฌ

๋‹ค์ด ์—ด ๊ด€๋ฆฌ

  • ์—ด์‚ฌ์ด ์‚ฌ์ดํด
  • ์—ด ํฌํ™”๋„
  • ํ’€ ์—ด ์ „๋‹ฌ ๋ชจ๋ธ๋ง

๊ณ ๊ธ‰ ์‘๊ณ 

  • ๋‹ค๊ณต์„ฑ ์˜ˆ์ธก
  • ์ˆ˜์ถ•
  • ํ•ซ ์Šคํฟ ์‹๋ณ„
  • ๊ธฐ๊ณ„์  ํŠน์„ฑ ์˜ˆ์ธก
  • ๋งˆ์ดํฌ๋กœ ์•„ํ‚คํ…์ฒ˜ ์˜ˆ์ธก

๋ชจ๋ž˜ ์ฝ”์–ด

  • ํ•ต์‹ฌ ๊ฐ€์Šค ์ง„ํ™”
  • ์ฝ”์–ด ํŠน์„ฑ์— ๋Œ€ํ•œ ์žฌ๋ฃŒ ์ •์˜

์ง„๊ณต ๋ฐ ํ™˜๊ธฐ

  • ๋Œ€ํ™”ํ˜• ํ”„๋กœ๋ธŒ ๋ฐฐ์น˜
  • ๋ฉด์  ๋ฐ ์†์‹ค ๊ณ„์ˆ˜ ๊ณ„์‚ฐ๊ธฐ

LADLE์šด๋™

  • 6๋„์˜ ์ž์œ  ๋™์ž‘ ์ •์˜

์ฃผ์ž… ์ •ํ™•๋„

  • ๊ฐ€์Šค ๋ฐ ๊ธฐํฌ ๊ฑธ๋ฆผ
  • ํ‘œ๋ฉด ์‚ฐํ™”๋ฌผ ๊ณ„์‚ฐ
  • RNG๋ฐ LES๋‚œ๋ฅ˜ ๋ชจ๋ธ
  • ๋ฐฐ๊ฒฝ ์••๋ ฅ

๊ฒฐํ•จ ์˜ˆ์ธก

  • ๋งคํฌ๋กœ ๋ฐ ๋งˆ์ดํฌ๋กœ ๋‹ค๊ณต์„ฑ
  • ๊ฐ€์Šค ๋‹ค๊ณต์„ฑ
  • ์กฐ๊ธฐ ์‘๊ณ 
  • ์‚ฐํ™”๋ฌผ ํ˜•์„ฑ
  • ํ‘œ๋ฉด ๊ฒฐํ•จ ๋ถ„์„

๋™์  ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ์ปจํŠธ๋กค

  • ํ”„๋กœ๋ธŒ ๊ธฐ๋ฐ˜ ํŠธ๋ฆฌ๊ฑฐ
  • ์—ด ์ œ์–ด
  • ์ง„๊ณต ๋ฐ ํ™˜๊ธฐ ์ปจํŠธ๋กค

์™„์ „ํ•œ ๋ถ„์„

  • ๋‹ค์ค‘ ๋ทฐ ํฌํŠธ๋ฅผ ์‚ฌ์šฉํ•œ ์• ๋‹ˆ๋ฉ”์ด์…˜-3D, 2D, ๊ธฐ๋ก ํ”Œ๋กฏ, ๋ณผ๋ฅจ ๋ Œ๋”๋ง
  • ๋‹ค๊ณต์„ฑ ๋ถ„์„ ๋„๊ตฌ
  • ์‚ฌ์ด๋“œ ๋ฐ”์ด ์‚ฌ์ด๋“œ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฒฐ๊ณผ ๋น„๊ต
  • ์šฉํ•ด ์˜จ๋„, ๊ณ ์ฒด ๋ถ€๋ถ„์„ ์ธก์ •ํ•˜๊ธฐ ์œ„ํ•œ ์„ผ์„œ
  • ์ž…์ž ์ถ”์ ๊ธฐ
  • ์ผ๊ด„ ์ฒ˜๋ฆฌ
  • ๋ณด๊ณ ์„œ ์ƒ์„ฑ

Low Pressure Sand Casting (LPSC) Workspace, ์ €์••์‚ฌํ˜•์ฃผ์กฐ

Workspace Highlights, ์ €์••์‚ฌํ˜•์ฃผ์กฐ

  • ํˆฌ๊ณผ์„ฑ, ์ฝ”์–ด ๊ฐ€์Šค ๋ฐ ์ˆ˜๋ถ„ ํ•จ๋Ÿ‰์„ ํฌํ•จํ•œ ๋ชจ๋ž˜ ํŠน์„ฑ ํ†ตํ•ฉ
  • ์ „์ฒด ํ”„๋กœ์„ธ์Šค ๋ชจ๋ธ๋ง์—๋Š” ๋ณด์ด๋“œ, ํ™˜๊ธฐ ๋ฐ ์—ญ์•• ์˜ํ–ฅ์ด ํฌํ•จ๋จ
  • ๊ณ ๊ธ‰ ๋‹ค์ด๋‚ด๋ฏน์Šค์—๋Š” ์ฑ„์šฐ๊ธฐ ํ›„ ๊ณ ์ฒดํ™” ํ‹ธํŠธ ๋™์ž‘์ด ํฌํ•จ๋จ

Workspace Overview

์ €์•• ์‚ฌํ˜• ์ฃผ์กฐ(LPSC) Workspace ๋Š” ์ฃผ์กฐ ๊ณต์žฅ์—์„œ ์ผ๋ฐ˜์ ์œผ๋กœ ์‚ฌ์šฉ๋˜๋Š” ๋ชจ๋“  ๊ณต์ •์„ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ํ•  ์ˆ˜ ์žˆ๋Š” ๊ฐ„ํŽธํ•œ ๋„๊ตฌ๋ฅผ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค. ์ƒˆ๋กœ์šด LPSC Workspace๋ฅผ ํ†ตํ•ด ์‚ฌ์šฉ์ž๋Š” ํ”„๋กœ์„ธ์Šค ํŒŒ๋ผ๋ฏธํ„ฐ๋ฅผ ๋ชจ๋ธ๋งํ•˜๊ณ  ์ตœ์ ํ™”ํ•˜๋Š” ๋ฐ ํ•„์š”ํ•œ ๋„๊ตฌ๋ฅผ ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

ํ•„ํ„ฐ๋Š” ํ•˜๋‹จ ์ถฉ์ง„ ์Šคํ”„๋กœ(sprues)์— ์‚ฝ์ž…ํ•˜์—ฌ ์ถฉ์ง„ ํŒจํ„ด์„ ์ถ”๊ฐ€๋กœ ์ œ์–ดํ•˜๊ณ , ์šฉํ•ด ์‹œ ๋ถˆ์ˆœ๋ฌผ์„ ์ œ๊ฑฐํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. FLOW-3D CAST๋Š” ์ถฉ์ „ ์ค‘ ํ๋ฆ„์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ๋ชจ๋ธ๋งํ•˜๊ธฐ ์œ„ํ•œ ์„ธ๋ผ๋ฏน ํ•„ํ„ฐ๋ฅผ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค. LPSC Workspace๋Š” ์‘๊ณ ์ค‘์˜ ์ˆ˜์ถ• ๋ฐ ๋ฏธ์„ธ์ˆ˜์ถ•๊ฒฐํ•จ์„ ํ•ด๊ฒฐํ•˜๊ธฐ ์œ„ํ•ด ๋ฐœ์—ด ์••ํƒ•์–ด์…ˆ๋ธ”๋ฆฌ ๋ฐ ๋‹จ์—ด ์Šฌ๋ฆฌ๋ธŒ๋ฅผ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค.

FLOW-3D CAST์˜ ํ‹ธํŠธ ๊ธฐ๋Šฅ์„ ์‚ฌ์šฉํ•˜๋ฉด ์‘๊ณ  ์ „์— ๋ชฐ๋“œ๋ฅผ ๊ฑฐ๊พธ๋กœ ๋’ค์ง‘์–ด ์ถฉ์ „ ์Šคํ”„๋ฃจ(sprues)๊ฐ€ ๋ผ์ด์ € ์—ญํ• ์„ ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์ด ์ ‘๊ทผ ๋ฐฉ์‹์€ ์ถฉ์ง„ ์Šคํ”„๋ฃจ(sprues)๊ฐ€ ์ ์ ˆํ•˜๊ฒŒ ์„ค๊ณ„๋œ ๊ฒฝ์šฐ ์ถ”๊ฐ€ ๋ผ์ด์ €๊ฐ€ ํ•„์š”ํ•˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค.

ํ”„๋กœ์„ธ์Šค ๋ชจ๋ธ๋ง

  • ์••๋ ฅ ๋˜๋Š” ์šฉ๋Ÿ‰ ์ œ์–ด ๋ฐ”๋‹ฅ ๊ณต๊ธ‰
  • ํšŒ์ „์‹ ์‘๊ณ 

์œ ์—ฐํ•œ ๋ฉ”์‰ฌ

  • ๋น ๋ฅด๊ณ  ์‰ฌ์šด ์ƒ์„ฑ์„ ์œ„ํ•œ ์ฒด๊ณ„์ ์ธ ๋ฉ”์‰ฌ
  • ๊ตญ์ง€์ ์ธ ์ •ํ™•๋„ ์ œ์–ด๋ฅผ ์œ„ํ•œ ๋ฉ€ํ‹ฐ ๋ธ”๋ก ๋ฉ”์‰ฌ
  • ๋ฉ”๋ชจ๋ฆฌ ์ตœ์ ํ™”๋ฅผ ์œ„ํ•œ ์บ์ŠคํŒ… ๊ตฌ์„ฑ ๋ฉ”์‰ฌ

์ฃผํ˜• ๋ชจ๋ธ๋ง

  • ๊ฐ€์Šค ๋ฐ ์ˆ˜๋ถ„ ๋ฐฐ์ถœ์ด ํฌํ•จ๋œ ํ—ˆ์šฉ ๊ฐ€๋Šฅํ•œ ๊ธˆํ˜•
  • ๊ตญ์†Œ ๋ƒ‰๊ฐ์„ ์œ„ํ•œ ์ฝ”์ผ
  • ๋‹ค๊ณต์„ฑ ๋ฐ ํ‘œ์ค€ ์ธ์„œํŠธ
  • ์„ธ๋ผ๋ฏน ํ•„ํ„ฐ
  • ์—์–ด๋ฒคํŠธ

๊ณ ๊ธ‰ ์‘๊ณ 

  • ํ™”ํ•™ ๊ธฐ๋ฐ˜ ์‘๊ณ 
  • ์น˜์ˆ˜ ์—†๋Š” ๋‹ˆ์•ผ๋งˆ ๊ธฐ์ค€
  • ๋ƒ‰๊ฐ ์†๋„, SDAS, ์ž…์ž ํฌ๊ธฐ ๊ธฐ๊ณ„์  ํŠน์„ฑ

๋ผ์ด์ € ๊ณต๊ตฌ

  • ๋ฐœ์—ด์ฒด ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค
  • ๋ฐœ์—ด์„ฑ ๋ฐ ์ ˆ์—ฐ์„ฑ ์Šฌ๋ฆฌ๋ธŒ

์ฃผ์ž… ์ •ํ™•๋„

  • ๊ฐ€์Šค/๋ฒ„์Šค/์ž๊ฐˆ ๋ผ์ž„
  • ํ‘œ๋ฉด ์‚ฐํ™”๋ฌผ ํ˜•์„ฑ
  • ํ•„ํ„ฐ์˜ ์ž๋™ ๋“œ๋ž˜๊ทธ ๊ณ„์‚ฐ

๋ชฐ๋“œ ๋ชจ์…˜ ์ปจํŠธ๋กค

  • ์‹œ๊ฐ„ ์ œ์–ด ๊ธˆํ˜• ํšŒ์ „

๊ฒฐํ•จ ์˜ˆ์ธก

  • ๋‹ค๊ณต์„ฑ ์˜ˆ์ธก
  • ์ˆ˜์ถ•
  • ํ•ซ ์ŠคํŒŸ

๋™์  ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ์ปจํŠธ๋กค

  • ๋ฌธ์ œ๊ฐ€ ์ œ์–ด๋˜๋Š” ์ฃผ์ž… ์†๋„

์™„์ „ํ•œ ๋ถ„์„

  • ๋‹ค์ค‘ ๋ทฐ ํฌํŠธ๋ฅผ ์‚ฌ์šฉํ•œ ์• ๋‹ˆ๋ฉ”์ด์…˜-3D, 2D, ๊ธฐ๋ก ํ”Œ๋กฏ, ๋ณผ๋ฅจ ๋ Œ๋”๋ง
  • ๋‹ค๊ณต์„ฑ ๋ถ„์„ ๋„๊ตฌ
  • ์‚ฌ์ด๋“œ ๋ฐ”์ด ์‚ฌ์ด๋“œ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฒฐ๊ณผ ๋น„๊ต
  • ์šฉํ•ด ์˜จ๋„, ๊ณ ์ฒด ๋ถ€๋ถ„์„ ์ธก์ •ํ•˜๊ธฐ ์œ„ํ•œ ์„ผ์„œ
  • ์ž…์ž ์ถ”์ ๊ธฐ
  • ์ผ๊ด„ ์ฒ˜๋ฆฌ
  • ๋ณด๊ณ ์„œ ์ƒ์„ฑ

High Pressure Die Casting Workspace, ๊ณ ์••๋‹ค์ด์บ์ŠคํŒ…

High Pressure Die Casting Workspace Highlights

  • ์ฃผ์ž… ์ •ํ™•๋„๊ฐ€ ํƒ์›”ํ•ฉ๋‹ˆ๋‹ค.
  • ์ „์ฒด ํ”„๋กœ์„ธ์Šค ๋ชจ๋ธ๋ง์—๋Š” ๊ณ ๊ธ‰ ํ™˜๊ธฐ, PQ2 ๋ฐ ์Šคํ”„๋ ˆ์ด ๋ƒ‰๊ฐ์ด ํฌํ•จ๋ฉ๋‹ˆ๋‹ค.
  • ๋™์  ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ์ œ์–ด๋ฅผ ํ†ตํ•ด ๋™์  ๋Ÿฐํƒ€์ž„ ํ”„๋กœ์„ธ์Šค๋ฅผ ์ œ์–ดํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
  • ์ตœ์ฒจ๋‹จ ์•Œ๋ฃจ๋ฏธ๋Š„ ์‹ค๋ฆฌ์ฝ˜ ํ•ฉ๊ธˆ ๊ณ ํ˜•ํ™”์ž…๋‹ˆ๋‹ค.

๊ณ ์•• ๋‹ค์ด ์บ์ŠคํŒ… Workspace

๊ณ ์•• ๋‹ค์ด ์บ์ŠคํŒ… Workspace์€ ์—”์ง€๋‹ˆ์–ด๊ฐ€ FLOW-3D CAST๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ, ๊ณ ์•• ๋‹ค์ด ์บ์ŠคํŒ… ์ œํ’ˆ์„ ์„ฑ๊ณต์ ์œผ๋กœ ๋ชจ๋ธ๋งํ•  ์ˆ˜ ์žˆ๋„๋ก ์„ค๊ณ„๋œ ์ง๊ด€์ ์ธ ๋ชจ๋ธ๋ง ํ™˜๊ฒฝ์ž…๋‹ˆ๋‹ค.

FLOW-3D CAST v5.1์€ ์ฒจ๋‹จ ๋‹ค์ด ์—ด ์ œ์–ด, ๊ธฐ๊ณ„ ํŒŒ๋ผ๋ฏธํ„ฐ ๋ชจ๋ธ๋ง,์ฃผ์ž… ๋ฐ ๋ฐฐ์•• ์กฐ๊ฑด์˜ ์ •ํ™•ํ•œ ํ•ด์„๊ธฐ๋Šฅ๊ณผ ๊ฒฐํ•ฉ๋œ ์ƒท ์Šฌ๋ฆฌ๋ธŒ ๋ชจ์…˜์˜ ์™„์ „ํ•œ ์ œ์–ด๋Š” ๊ฐ€์žฅ ๊นŒ๋‹ค๋กœ์šด HPDC ์‹œ๋ฎฌ๋ ˆ์ด์…˜์— ํ•„์š”ํ•œ ์ตœ์ ํ™”๋œ ์†”๋ฃจ์…˜์ž…๋‹ˆ๋‹ค. HPDC Workspace์—๋Š” ์ง„๋ณด๋œ ๋ฏธ์„ธ์ˆ˜์ถ•๊ณต ์˜ˆ์ธก ๋ฐ ํ›„์ฒ˜๋ฆฌ ๊ธฐ๋Šฅ ์™ธ์—๋„ Al-Si ๋ฐ Al-Cu ๊ธฐ๋ฐ˜ ํ•ฉ๊ธˆ์— ๋Œ€ํ•œ ์ตœ์ฒจ๋‹จ ํ™”ํ•™ ๊ธฐ๋ฐ˜ ์‘๊ณ  ๋ฐ ์žฌ๋ฃŒ ๊ฐ•๋„ ๋ชจ๋ธ์ด ํฌํ•จ๋˜์–ด ์žˆ์Šต๋‹ˆ๋‹ค.

๋ชจ๋ธ๋ง๋œ ํ”„๋กœ์„ธ์Šค

  • ๊ณ ์•• ๋‹ค์ด ์ฃผ์กฐ
 

์œ ์—ฐํ•œ ๋ฉ”์‹œ

  • FAVORโ„ข ๊ฐ„๋‹จํ•œ ๋ฉ”์‰ฌ ์ƒ์„ฑ ๋„๊ตฌ
  • ๋ฉ€ํ‹ฐ ๋ธ”๋ก ๋ฉ”์‹œ
  • ์ค‘์ฒฉ ๋ฉ”์‹œ
 

๋‹ค์ด ์—ด ๊ด€๋ฆฌ

  • ์—ด ๋‹ค์ด ์‚ฌ์ดํด๋ง
  • ์—ด ํฌํ™”๋„
  • ์ „์ฒด ์—ด ์ „๋‹ฌ ๋ชจ๋ธ๋ง
  • ์Šค๋งˆํŠธ ๋ƒ‰๊ฐ ์ฑ„๋„ ์ œ์–ด
  • ์Šคํ”„๋ ˆ์ด ๋ƒ‰๊ฐ ๊ฒฝ๋กœ ๋ชจ๋ธ๋ง
 

๊ณ ๊ธ‰ ์‘๊ณ 

  • ๋‹ค๊ณต์„ฑ ์˜ˆ์ธก
  • ์ˆ˜์ถ•
  • ํ•ซ์ŠคํŒŸ ์‹๋ณ„
  • ๊ธฐ๊ณ„์  ํŠน์„ฑ ์˜ˆ์ธก
  • ๋ฏธ์„ธ ๊ตฌ์กฐ ์˜ˆ์ธก
 

๊ตญ์ž ๋ชจ์…˜

  • ์ž์œ  ๋ชจ์…˜ ์ •์˜ 6๋„
 

์ง„๊ณต ๋ฐ ํ™˜๊ธฐ

  • ๋Œ€ํ™”ํ˜• ํ”„๋กœ๋ธŒ ๋ฐฐ์น˜
  • ์ง€์—ญ ๋ฐ ์†์‹ค ๊ณ„์ˆ˜ ๊ณ„์‚ฐ๊ธฐ
 

์ถฉ์ „ ์ •ํ™•๋„

  • ๋А๋ฆฌ๊ณ  ๋น ๋ฅธ ์ƒท ๋ชจ๋ธ๋ง
  • ๊ฐ•ํ™” ์••๋ ฅ ํšจ๊ณผ
  • ๊ฐ€์Šค ๋ฐ ๋ฒ„๋ธ” ํ•จ์ •
  • ํ‘œ๋ฉด ์‚ฐํ™”๋ฌผ ๊ณ„์‚ฐ
  • RNG ๋ฐ ๋ ˆ ๋‚œ๋ฅ˜ ๋ชจ๋ธ
  • ์—ญ์••๋ ฅ
 

๊ฒฐํ•จ ์˜ˆ์ธก

  • ๋งคํฌ๋กœ ๋ฐ ๋งˆ์ดํฌ๋กœ ๋‹ค๊ณต์„ฑ
  • ๊ฐ€์Šค ๋‹ค๊ณต์„ฑ
  • ์กฐ๊ธฐ ์‘๊ณ 
  • ์‚ฐํ™”๋ฌผ ํ˜•์„ฑ
  • ํ‘œ๋ฉด ๊ฒฐํ•จ ๋ถ„์„
 

ํ‘œ๋ฉด ๊ฒฐํ•จ ๋ถ„์„

  • PQ2 ๋ถ„์„
  • ํ”„๋กœ๋ธŒ ๊ธฐ๋ฐ˜ ํŠธ๋ฆฌ๊ฑฐ
  • ์—ด ์ œ์–ด
  • ์ง„๊ณต ๋ฐ ํ™˜๊ธฐ ์ œ์–ด
 

์ „์ฒด ๋ถ„์„ ํŒจํ‚ค์ง€

  • ๋‹ค์ค‘ ๋ทฐํฌํŠธ๊ฐ€ ์žˆ๋Š” ์• ๋‹ˆ๋ฉ”์ด์…˜ – 3D, 2D, ๊ธฐ๋ก ํ”Œ๋กฏ, ๋ณผ๋ฅจ ๋ Œ๋”๋ง
  • ๋‹ค๊ณต์„ฑ ๋ถ„์„ ๋„๊ตฌ
  • ๋‚˜๋ž€ํžˆ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฒฐ๊ณผ ๋น„๊ต
  • ์šฉ์œต ์˜จ๋„, ๊ณ ์ฒด ๋ถ„ํš ์ธก์ •์„ ์œ„ํ•œ ์„ผ์„œ
  • ํŒŒํ‹ฐํด ํŠธ๋ ˆ์ด์„œ
  • ๋ฐฐ์น˜ ํ›„ ์ฒ˜๋ฆฌ
  • ๋ณด๊ณ ์„œ ์ƒ์„ฑ

Gravity Die Casting Workspace, ์ค‘๋ ฅ์ฃผ์กฐ

Gravity Die Casting Workspace Highlights, ์ค‘๋ ฅ์ฃผ์กฐ

  • ์ตœ์ฒจ๋‹จ ๋‹ค์ด ์—ด ๊ด€๋ฆฌ, ๋™์  ๋ƒ‰๊ฐ ์ฑ„๋„, ๋ถ„๋ฌด ๋ƒ‰๊ฐ ๋ฐ ์—ด ์ˆœํ™˜
  • Ladle ์ฃผ์ž… ์กฐ๊ฑด์— ๋”ฐ๋ผ ๋™์  Ladle ๋ชจ์…˜์ด ์žˆ๋Š” Ladle ์ฃผ์ž…
  • ์ฒจ๋‹จ ์œ ๋Ÿ‰ ์†”๋ฃจ์…˜์œผ๋กœ ์ •ํ™•ํ•œ ๊ฐ€์Šค ๊ฐ‡ํž˜ ๋ฐ ๊ฐ€์Šค ๋‹ค๊ณต์„ฑ ์ œ๊ณต

Workspace Overview

Gravity Die Casting Workspace(์ค‘๋ ฅ์ฃผ์กฐ)๋Š” ์—”์ง€๋‹ˆ์–ด๊ฐ€ FLOW-3D CAST๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ์ค‘๋ ฅ์ฃผ์กฐ ์ œํ’ˆ์„ ์„ฑ๊ณต์ ์œผ๋กœ ๋ชจ๋ธ๋งํ•  ์ˆ˜ ์žˆ๋„๋ก ์„ค๊ณ„๋œ ์ง๊ด€์ ์ธ ๋ชจ๋ธ๋ง ํ™˜๊ฒฝ์ž…๋‹ˆ๋‹ค.

Ladle ๋ชจ์…˜, ๋ฒคํŠธ ๋ฐ ๋ฐฐ์••์ด ์ถฉ์ง„ํ•ด์„์— ํฌํ•จ๋˜์–ด ๊ณต๊ธฐ ๊ฐ‡ํž˜ ๋ฐ ๋ฏธ์„ธ ์‘๊ณ ์ˆ˜์ถ•๊ณต์˜ ์ •ํ™•ํ•œ ์˜ˆ์ธก๊ณผ ๊ธˆํ˜•์˜จ๋„๋ถ„ํฌ ๋ฐ ์ƒํƒœ ์˜ˆ์ธก์ด ๊ฐ€๋Šฅํ•ฉ๋‹ˆ๋‹ค.-์ฒจ๋‹จ ์‘๊ณ  ๋ชจ๋ธ์€ Workspace์˜ ํ•˜์œ„ ํ”„๋กœ์„ธ์Šค ์•„ํ‚คํ…์ฒ˜๋ฅผ ํ†ตํ•ด ์ถฉ์ค€ํ•ด์„๊ธฐ๋Šฅ์— ์›ํ™œํ•˜๊ฒŒ ์—ฐ๊ฒฐ๋ฉ๋‹ˆ๋‹ค. Gravity Die Casting Workspace๋Š” ๋‹ค๋ชฉ์  ๋ชจ๋ธ๋ง ํ™˜๊ฒฝ์—์„œ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์˜ ๋ชจ๋“  ์ธก๋ฉด์„ ์œ„ํ•œ ์™„์ „ํ•˜๊ณ  ์ •ํ™•ํ•œ ์†”๋ฃจ์…˜์„ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค.

PROCESSES MODELED

  • Gravity die casting
  • Vacuum die casting

FLEXIBLE MESHING

  • FAVORโ„ข simple mesh generation tool
  • Multi-block meshing
  • Nested meshing

MOLD MODELING

  • Localized die heating elements and cooling channels
  • Spray cooling of the die surface
  • Ceramic filters
  • Air vents

ADVANCED SOLIDIFICATION

  • Porosity
  • Shrinkage
  • Hot spots
  • Mechanical property
  • Microstructure

SAND CORES

  • Core gas evolution
  • Material definitions for core properties

DIE THERMAL MANAGEMENT

  • Thermal die cycling
  • Heat saturation
  • Full heat transfer

LADLE MOTION

  • 6 degrees of freedom motion definition

DEFECT PREDICTION

  • Macro and micro porosity
  • Gas porosity
  • Early solidification
  • Oxide formation
  • Surface defect analysis

VACUUM AND VENTING

  • Interactive probe placement
  • Area and loss coefficient calculator

MACRO AND MICRO POROSITY

  • Gas porosity
  • Early solidification
  • Oxide formation
  • Surface defect analysis

FILLING ACCURACY

  • Gas and bubble entrapment
  • Surface oxide calculation
  • RNG and LES turbulence models
  • Backpressure

COMPLETE ANALYSIS PACKAGE

  • Animations with multi-viewports – 3D, 2D, history plots, volume rendering
  • Porosity analysis tool
  • Side-by-side simulation results comparison
  • Sensors for measuring melt temperature, solid fraction
  • Particle tracers
  • Batch post-processing
  • Report generation
customcode_sample

Users customize the solver

FLOW-3D Solver Custom ๊ฐœ๋ฐœ

<์ฃผ์˜ ์‚ฌํ•ญ>
Flow Science, Inc.๋Š” ์‚ฌ์šฉ์ž๊ฐ€ ์ถ”๊ฐ€ํ•œ ์‚ฌ์šฉ์ž ์ •์˜ Code์— ๋Œ€ํ•ด ์–ด๋– ํ•œ ์ฑ…์ž„๋„ ์ง€์ง€ ์•Š์Šต๋‹ˆ๋‹ค. FLOW-3D ์œ ์ง€๋ณด์ˆ˜ ์ง€์›์—๋Š” ์‚ฌ์šฉ์ž ์ปค์Šคํ„ฐ๋งˆ์ด์ง• ๋ฌธ์ œ ํ•ด๊ฒฐ์ด ํฌํ•จ๋˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค.

์ด ๋‚ด์šฉ์€ Solver์— ๋Œ€ํ•ด ์ œ๊ณต๋œ ์†Œ์Šค ์ฝ”๋“œ๋ฅผ ์ˆ˜์ •ํ•˜๊ณ  ๋‹ค์‹œ ์ปดํŒŒ์ผ(์ฆ‰, ์‚ฌ์šฉ์ž ์ •์˜)ํ•˜๋Š” ์ปค์Šคํ…€ ์ฝ”๋“œ ๊ฐœ๋ฐœ ์‚ฌ์šฉ์ž์—๊ฒŒ๋งŒ ์ ์šฉ๋ฉ๋‹ˆ๋‹ค. ์†”๋ฒ„๋ฅผ ์‚ฌ์šฉ์ž ์ •์˜ํ•˜์—ฌ ๊ฐœ๋ฐœํ•˜์ง€ ์•Š์„ ๊ฒฝ์šฐ ์–ด๋– ํ•œ ์กฐ์น˜๋„ ํ•„์š”ํ•˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค. ์ด ์ปดํŒŒ์ผ๋Ÿฌ ์—…๋ฐ์ดํŠธ์— ๋Œ€ํ•ด ๊ถ๊ธˆํ•œ ์ ์ด ์žˆ์œผ๋ฉด ์–ธ์ œ๋“ ์ง€ flow3d@stikorea.co.kr ๋กœ ๋ฌธ์˜ํ•˜์‹ญ์‹œ์˜ค.

Custom Developer Tools ์— ๋Œ€ํ•œ ์ •๋ณด

Flow Science๊ฐ€ ํ‘œ์ค€ ์„ค์น˜์˜ ์ผ๋ถ€๋กœ ๋ฐฐํฌํ•˜๋Š” ์„œ๋ธŒ ๋ฃจํ‹ด์„ ์‚ฌ์šฉ์ž๊ฐ€ ์ปค์Šคํ„ฐ๋งˆ์ด์ฆˆํ•˜์—ฌ ์‚ฌ์šฉ์ž๊ฐ€ ์›ํ•˜๋Š” ์ˆ˜์‹์„ ๋ฐ˜์˜ ๊ฐœ๋ฐœํ•˜๊ณ ์ž ํ•  ๊ฒฝ์šฐ ๋ฒ„์ „์— ๋”ฐ๋ผ ์•„๋ž˜์™€ ๊ฐ™์€ ๋ฒ„์ „์˜ ์ปดํŒŒ์ผ๋Ÿฌ๊ฐ€ ํ•„์š”ํ•ฉ๋‹ˆ๋‹ค.

FLOW-3D ์ œํ’ˆ๊ตฐ์˜ ๋‹ค๊ฐ€์˜ค๋Š” 2023R2 release๋Š” ํ˜„์žฌ ๋นŒ๋“œ ๋„๊ตฌ๋ฅผ ์—…๋ฐ์ดํŠธํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์ด๋Š” FLOW-3D, FLOW-3D HYDRO ๋ฐ FLOW-3D CAST์— ์˜ํ–ฅ์„ ๋ฏธ์นฉ๋‹ˆ๋‹ค.

2023R2 ์ œํ’ˆ์˜ ์†Œ์Šค ์ฝ”๋“œ๋ฅผ ์‚ฌ์šฉ์ž ์ •์˜ํ•˜๊ณ  ์žฌ์ปดํŒŒ์ผํ•˜๋ ค๋Š” ์‚ฌ์šฉ์ž์—๊ฒŒ๋Š” ๋‹ค์Œ์ด ํฌํ•จ๋œ Intel oneAPI ๋ฒ„์ „ 2022.3.1์ด ํ•„์š”ํ•ฉ๋‹ˆ๋‹ค.

Windows: Intelยฎ MPI ๋ผ์ด๋ธŒ๋Ÿฌ๋ฆฌ ๋ฐ Fortran ์ปดํŒŒ์ผ๋Ÿฌ ๋ฒ„์ „ 2021.7.1 ๋นŒ๋“œ 20221019 ๋ฐ Microsoft Visual Studio 2019 Professional

Linux: Intelยฎ MPI ๋ผ์ด๋ธŒ๋Ÿฌ๋ฆฌ ๋ฐ Fortran ์ปดํŒŒ์ผ๋Ÿฌ ๋ฒ„์ „ 2021.7.1 ๋นŒ๋“œ 20221019 ์ด์ „ ๋ฒ„์ „์˜ ๋นŒ๋“œ ๋„๊ตฌ๋Š” ๋ณ€๊ฒฝ๋˜์ง€ ์•Š์•˜์Šต๋‹ˆ๋‹ค.

์ด์ „ ๋ฒ„์ „์— ๋Œ€ํ•œ ์•ˆ๋‚ด

  1. ๋‹ค์Œ ์ฃผ์š” ๋ฆด๋ฆฌ์Šค ์ธ  FLOW-3D  v12.1 ๋ฐ  FLOW-3D  CAST  v5.1์€ ์ธํ…” ยฎ FORTRAN ์ปดํŒŒ์ผ๋Ÿฌ ๋ฒ„์ „ 19.0.3.203 ๋นŒ๋“œ 20190206 (Windows) ๋ฐ ๋ฒ„์ „ 19.0.3.199 ๋นŒ๋“œ 20190206 (Linux)์œผ๋กœ ๋นŒ๋“œ๋ฉ๋‹ˆ๋‹ค. ์†”๋ฒ„๋ฅผ ์‚ฌ์šฉ์ž ์ง€์ •ํ•˜๋Š” Windows ์‚ฌ์šฉ์ž๋Š” Microsoft Visual Studio 2017 Professional๋„ ํ•„์š”ํ•ฉ๋‹ˆ๋‹ค.
  2. FLOW-3D  v12.0 ๋ฐ  FLOW-3D  CAST  v5.0 ๋ฐ ํ›„์† ์—…๋ฐ์ดํŠธ๋Š” Intelยฎ FORTRAN ๋ฒ„์ „ 16.0.1 ๋ฐ Microsoft Visual Studio 2010/2013 Professional์„ ์‚ฌ์šฉํ•˜์—ฌ ๊ณ„์† ๋นŒ๋“œ๋ฉ๋‹ˆ๋‹ค.
Custom Code Sample
Custom Code Sample

์ผ๋ฐ˜ ์‚ฌ์šฉ์ž ์ •์˜ ์ •๋ณด

FLOW-3D๋Š” ์‚ฌ์šฉ์ž๊ฐ€ ์†”๋ฒ„์˜ ๊ธฐ๋Šฅ์„ ์‚ฌ์šฉ์ž ์ •์˜ํ•  ์ˆ˜ ์žˆ๋„๋ก FORTRAN ์†Œ์Šค ์„œ๋ธŒ ๋ฃจํ‹ด ํŒŒ์ผ์„ ์ œ๊ณตํ•˜์—ฌ ์‚ฌ์šฉ์ž์—๊ฒŒ ํ•„์š”ํ•œ ์š”๊ตฌ ์‚ฌํ•ญ์„ ์ถฉ์กฑํ•ฉ๋‹ˆ๋‹ค. ์ œ๊ณต๋œ FORTRAN ์„œ๋ธŒ ๋ฃจํ‹ด์„ ํ†ตํ•ด ์‚ฌ์šฉ์ž๋Š” ๊ฒฝ๊ณ„ ์กฐ๊ฑด์„ ์‚ฌ์šฉ์ž ์ •์˜ํ•  ์ˆ˜ ์žˆ๊ณ , ๊ณ ์œ ํ•œ ์žฌ๋ฃŒ ํŠน์„ฑ์˜ ์ƒ๊ด€ ๊ด€๊ณ„๋ฅผ ํฌํ•จํ•  ์ˆ˜๋„ ์žˆ์œผ๋ฉฐ, ์‚ฌ์šฉ์ž๊ฐ€ ์ •์˜ํ•œ ์œ ์ฒด ํž˜(์˜ˆ: ์ „์ž๊ธฐ๋ ฅ)์„ ์ง€์ •ํ•˜๊ณ , ๋ฌผ๋ฆฌ์  ๋ชจ๋ธ์„ ์ถ”๊ฐ€ํ•˜๋Š” ๋“ฑ์˜ ์ž‘์—…์„ ์ˆ˜ํ–‰ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

์‚ฌ์šฉ์ž๊ฐ€ ์‚ฌ์šฉ์ž ์ •์˜์— ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ๋Š” ์—ฌ๋Ÿฌ โ€œ๋”๋ฏธโ€๋ณ€์ˆ˜๊ฐ€ ์ œ๊ณต๋˜์—ˆ์Šต๋‹ˆ๋‹ค. ์‚ฌ์šฉ์ž ์ •์˜๋ฅผ ์œ„ํ•ด ์‚ฌ์šฉ์ž ์ •์˜๊ฐ€ ๊ฐ€๋Šฅํ•œ ๋ชฉ๋ก๋„ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค.

 Linux ๋ฐ Windows ๋ฐฐํฌ์šฉ Makefile์ด ์ œ๊ณต๋˜๊ณ  Windows ๋ฐฐํฌ์šฉ Visual Studio ์†”๋ฃจ์…˜ ํŒŒ์ผ์ด ์ œ๊ณต๋˜์–ด ์ž์‹ ์˜ ์‚ฌ์šฉ์ž ์ •์˜ ์ฝ”๋“œ๋ฅผ ํฌํ•จ์‹œ์ผœ ์‚ฌ์šฉ์ž๊ฐ€ FLOW-3D๋ฅผ ๋‹ค์‹œ ์ปดํŒŒ์ผ ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

  • FLOW-3D๊ทธ๋ž˜ํ”ฝ ์ธํ„ฐํŽ˜์ด์Šค๋ฅผ ํ†ตํ•ด Custom Double Precision ๋ฒ„์ „์„ ์‹คํ–‰ํ•˜๋ ค๋ฉด Model Setupโ€ฃGeneral dock widget์˜ Version Options ์˜์—ญ์—์„œ Queued When Prompt ์˜ต์…˜์„ ์„ ํƒํ•˜์‹ญ์‹œ์˜ค. ๊ทธ๋Ÿฐ ๋‹ค์Œ ๋ฒ„์ „์„ ๋ฌป๋Š” ๋ฉ”์‹œ์ง€๊ฐ€ ๋‚˜ํƒ€๋‚˜๋ฉด Custom double precision์„ ์„ ํƒํ•˜์‹ญ์‹œ์˜ค. ๋˜๋Š” ๋กœ์ปฌ ๋ฐ ์›๊ฒฉ ์‹œ์Šคํ…œ์˜ ๊ธฐ๋ณธ ์„ค์ • โ€ฃ ๊ธฐ๋ณธ ๋ฒ„์ „ ์˜ต์…˜์—์„œ ๊ธฐ๋ณธ๊ฐ’์œผ๋กœ ์„ค์ •ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
  • ๋ฐฐ์น˜ ๋ชจ๋“œ ๋˜๋Š” ๋ช…๋ น ํ”„๋กฌํ”„ํŠธ๋ฅผ ํ†ตํ•ด ์‚ฌ์šฉ์ž ์ •์˜ ๋ฒ„์ „์„ ์‹คํ–‰ํ•˜๋ ค๋ฉด์‚ฌ์šฉ์ž ์ •์˜ ๋ฐฐ์ •๋„๋ฅผ ์œ„ํ•œ ํ™˜๊ฒฝ ๋ณ€์ˆ˜ F3D_VERSION์„ prehyd๋กœ ์„ค์ •ํ•ด์•ผ ํ•ฉ๋‹ˆ๋‹ค.

Windows์—์„œFLOW-3D ์‚ฌ์šฉ์ž ์ •์˜

Windows์—์„œ  FLOW-3D ์†”๋ฒ„ ์‚ฌ์šฉ์ž ์ •์˜์— ๋Œ€ํ•ด ์•ˆ๋‚ดํ•ฉ๋‹ˆ๋‹ค.

์ด์ „ ๋ฒ„์ „์„ ๊ธฐ์ค€์œผ๋กœ ์„ค๋ช…์„ ๋“œ๋ฆฝ๋‹ˆ๋‹ค.

๋ช…๋ นํ–‰ ๋นŒ๋“œ ํ™˜๊ฒฝ์„ ์„ ํ˜ธํ•˜๋Š” ๊ฒฝ์šฐ Intel  FORTRAN 16.0.1 ๋ฐ Windows Platform SDK ์„ค์น˜๋ฅผ ๊ณ ๋ คํ•˜์‹ญ์‹œ์˜ค. ์ธํ…”  FORTRAN 16.0.1์˜ ์‹œ์Šคํ…œ ์š”๊ตฌ ์‚ฌํ•ญ์— ๋Œ€ํ•œ ์ž์„ธํ•œ ๋‚ด์šฉ์€ ์ปดํŒŒ์ผ๋Ÿฌ์™€ ํ•จ๊ป˜ ์ œ๊ณต๋œ ์„ค๋ช…์„œ๋ฅผ ์ฐธ์กฐํ•˜์‹ญ์‹œ์˜ค.

Visual Studio 2010/2013 Professional Edition ์šฉ Visual Studio ์†”๋ฃจ์…˜ ํŒŒ์ผcustom_double_vs2010/2013.sln์€ prehyd๋””๋ ‰ํ† ๋ฆฌ์— ์žˆ์Šต๋‹ˆ๋‹ค. ์†”๋ฃจ์…˜ ํŒŒ์ผ ์ด๋ฆ„์€ *.sln ์œผ๋กœ ์ง€์ •๋ฉ๋‹ˆ๋‹ค.

์†”๋ฃจ์…˜ ํŒŒ์ผ์€ Visual Studio ๋‚ด์—์„œ ์†”๋ฒ„ ์‹คํ–‰ ํŒŒ์ผ์„ ๋นŒ๋“œํ•˜๋Š” ๋ฐ ์‚ฌ์šฉ๋ฉ๋‹ˆ๋‹ค. FORTRAN ์†Œ์Šค ํŒŒ์ผ์˜ ํ™•์žฅ์ž .F90๋Š” C:\flow3d\v12.0\prehyd๋””๋ ‰ํ† ๋ฆฌ์— ์žˆ์Šต๋‹ˆ๋‹ค. ์˜ค๋ธŒ์ ํŠธ ํŒŒ์ผ์€ ํŽธ์ง‘ํ•  ์ˆ˜ ์—†๋Š” ํŒŒ์ผ๋กœ ํ™•์žฅ์ž๊ฐ€ .OBJ์ธ ํŒŒ์ผ๋กœ ์žˆ์œผ๋ฉฐ ์†Œ์Šค ํŒŒ์ผ์˜ ์ปดํŒŒ์ผ ๋œ ๋ฒ„์ „์ž…๋‹ˆ๋‹ค.

Intel Fortran ์ปดํŒŒ์ผ๋Ÿฌ ๋ฌธ๋ฒ• ์„ค๋ช…์„œ
https://software.intel.com/en-us/fortran-compiler-developer-guide-and-reference-a-to-z-reference

Visual Studio ์†”๋ฃจ์…˜ ํŒŒ์ผ: ์ปดํŒŒ์ผ ๋ฐ ๋งํฌ

Visual Studio์†”๋ฃจ์…˜ ํŒŒ์ผ์€ Visual Studio์—์„œ ์‹คํ–‰ ํŒŒ์ผ์„ ๋นŒ๋“œํ•˜๋Š”๋ฐ ํ•„์š”ํ•œ ํŒŒ์ผ์„ ์ถ”์ ํ•˜๋Š” ๋ฐ ์‚ฌ์šฉ๋ฉ๋‹ˆ๋‹ค. ์—ฌ๊ธฐ์—๋Š” ํ”„๋กœ์ ํŠธ์˜ ๋ชจ๋“  ํŒŒ์ผ ๋ชฉ๋ก๊ณผ ์ข…์†์„ฑ ๋ชฉ๋ก์ด ํฌํ•จ๋ฉ๋‹ˆ๋‹ค. ์ข…์†์„ฑ์€ ํŠน์ • ํŒŒ์ผ์˜ ๋ณ€๊ฒฝ์œผ๋กœ ์ธํ•ด ์˜ํ–ฅ์„ ๋ฐ›๋Š” ํŒŒ์ผ์„ ์ถ”์ ํ•˜๋Š”๋ฐ ์‚ฌ์šฉ๋ฉ๋‹ˆ๋‹ค. 

์†”๋ฃจ์…˜ ํƒ์ƒ‰๊ธฐ์—๋Š” Visual Studio์—์„œ ์†Œ์Šค ํŒŒ์ผ, ์˜ค๋ธŒ์ ํŠธ ํŒŒ์ผ, ๋ชจ๋“ˆ ๋ฐ ๋ผ์ด๋ธŒ๋Ÿฌ๋ฆฌ, ์‹คํ–‰ ํŒŒ์ผ์„ ๋นŒ๋“œํ•˜๋Š” ๋ฐ ํ•„์š”ํ•œ ๋ชจ๋“  ํŒŒ์ผ์˜ ๋ชฉ๋ก์ด ํฌํ•จ๋˜์–ด ์žˆ์Šต๋‹ˆ๋‹ค. ํŒŒ์ผ์€ ์•ŒํŒŒ๋ฒณ ์ˆœ์„œ๋กœ ์ •๋ ฌ๋ฉ๋‹ˆ๋‹ค. ์†Œ์Šค ํŒŒ์ผ์„ ํŽธ์ง‘ํ•˜๋ ค๋ฉด ์†”๋ฃจ์…˜ ํƒ์ƒ‰๊ธฐ*.F90์—์„œ ํ•ด๋‹น ํŒŒ์ผ์„ ๋‘ ๋ฒˆ ํด๋ฆญํ•˜๋ฉด ์ƒํ™ฉ์— ๋งž๋Š” ํŽธ์ง‘ ์ฐฝ์—์„œ ์—ด๋ฆฝ๋‹ˆ๋‹ค.

์†Œ์Šค ํŒŒ์ผ์„ ๋ณ€๊ฒฝํ•œ ํ›„์—๋Š” ํŒŒ์ผ์„ ์ €์žฅํ•˜๊ณ  ๋นŒ๋“œ ๋ฉ”๋‰ด์—์„œ ์†”๋ฃจ์…˜ ๋นŒ๋“œ๋ฅผ ์„ ํƒํ•˜์—ฌ ์‹คํ–‰ ํŒŒ์ผ์„ ๋‹ค์‹œ ๋นŒ๋“œํ•˜์‹ญ์‹œ์˜ค. Visual Studio ๊ตฌ์„ฑ ๊ด€๋ฆฌ์ž๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ํ”„๋กœ์ ํŠธ๋ฅผ ๋ฆด๋ฆฌ์Šค ๋ชจ๋“œ ๋ฐ x64 ๋ชจ๋“œ๋กœ ์„ค์ •ํ•˜์‹ญ์‹œ์˜ค. 

์ˆ˜์ •ํ•œ ํŒŒ์ผ์„ ์ปดํŒŒ์ผํ•˜๊ณ  ์ƒˆ ์‹คํ–‰ ํŒŒ์ผ์„ ๋งŒ๋“ญ๋‹ˆ๋‹ค. ์ƒˆ๋กœ์šด hydr3d.exe์‹คํ–‰ ํŒŒ์ผ์ด ์ƒ์„ฑ๋˜์–ด C:\flow3d\v12.0\prehydํ•˜์œ„ ๋””๋ ‰ํ† ๋ฆฌ์— ๋ฐฐ์น˜๋ฉ๋‹ˆ๋‹ค.

Build ๋ฐฉ๋ฒ•

์ปดํŒŒ์ผ ๋ฐ ๋งํฌํ•˜๋ ค๋ฉด /prehyd ์—์„œ ์†”๋ฃจ์…˜ ํŒŒ์ผ custom_double_vs2010.sln์„ ์—ฌ์‹ญ์‹œ์˜ค. Visual Studio ๊ตฌ์„ฑ ๊ด€๋ฆฌ์ž๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ํ”„๋กœ์ ํŠธ๋ฅผ ๋ฆด๋ฆฌ์Šค ๋ชจ๋“œ ๋ฐ x64 ๋ชจ๋“œ ๋กœ ์„ค์ •ํ•˜์‹ญ์‹œ์˜ค. ์†Œ์Šค ์ฝ”๋“œ๋ฅผ ํ•„์š”ํ•œ๋Œ€๋กœ ๋ณ€๊ฒฝํ•˜๊ณ  ์ €์žฅํ•œ ๋‹ค์Œ ๋นŒ๋“œ ๋ฉ”๋‰ด์—์„œ ์†”๋ฃจ์…˜ ๋นŒ๋“œ๋ฅผ ์„ ํƒํ•˜์‹ญ์‹œ์˜ค.

์‚ฌ์šฉ์ž์—๊ฒŒ ์ œ๊ณต๋˜๋Š” ์†Œ์Šค ๋””๋ ‰ํ† ๋ฆฌ ๊ตฌ์กฐ

FLOW-3D customization์ด ๊ฐ€๋Šฅํ•œ ์„œ๋ธŒ ๋ฃจํ‹ด ๋ฐ ํ‘œ์ค€ ๋ฐฐํฌ ์‹คํ–‰ ํŒŒ์ผ์˜ ๋””๋ ‰ํ† ๋ฆฌ ๊ตฌ์กฐ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™์Šต๋‹ˆ๋‹ค.– double — hydr3d — prehyd — comdeck              prep3d              hydr3d              utility — source–  comdeck              prep3d              hydr3d              utility

๋””๋ ‰ํ† ๋ฆฌ /opt/flow3d/v12.0/double์—๋Š” (customization ํ•  ์ˆ˜ ์—†๋Š”) ์†”๋ฒ„์˜ ๊ณต์‹ ๋ฆด๋ฆฌ์Šค๊ฐ€ hydr3d ํฌํ•จ๋˜์–ด ์žˆ์Šต๋‹ˆ๋‹ค. customization ๊ฐ€๋Šฅํ•œ ์†Œ์Šค ์ฝ”๋“œ๋Š” /opt/flow3d/v12.0/prehyd ๋””๋ ‰ํ† ๋ฆฌ์— ์žˆ์Šต๋‹ˆ๋‹ค.

customizable๋””๋ ‰ํ† ๋ฆฌ ์•„๋ž˜ source์—๋Š” 4 ๊ฐœ์˜ ํ•˜์œ„ ๋””๋ ‰ํ† ๋ฆฌ๊ฐ€ ์žˆ์Šต๋‹ˆ๋‹ค. ์ „์ฒ˜๋ฆฌ๊ธฐ์™€ ์†”๋ฒ„๊ฐ€ ๊ณต์œ ํ•˜๋Š” ์„œ๋ธŒ ๋ฃจํ‹ด์€ utility ๋ผ๋Š” ๋””๋ ‰ํ† ๋ฆฌ์— ์žˆ์Šต๋‹ˆ๋‹ค. ์ „์ฒ˜๋ฆฌ๊ธฐ๋งŒ ์‚ฌ์šฉํ•˜๋Š” ์„œ๋ธŒ ๋ฃจํ‹ด์€ ์ œ๋ชฉ์ด ์ง€์ •๋œ ๋””๋ ‰ํ† ๋ฆฌ prep3d์— ์žˆ์œผ๋ฉฐ ์†”๋ฒ„๋งŒ ์‚ฌ์šฉํ•˜๋Š” ์„œ๋ธŒ ๋ฃจํ‹ด์€ hydr3d์— ์žˆ์Šต๋‹ˆ๋‹ค.

FORTRAN ํฌํ•จ ๋ฌธ

FLOW-3D์˜ ์„œ๋ธŒ ๋ฃจํ‹ด, ๊ธ€๋กœ๋ฒŒ ๋ณ€์ˆ˜์— ๋Œ€ํ•œ ์ผ๋ฐ˜์ ์ธ ๋ธ”๋ก ์„ ์–ธ๋ฌธ์€ ๋””๋ ‰ํ† ๋ฆฌ comdeck์— ์žˆ๋Š” ํŒŒ์ผ์— ์žˆ์Šต๋‹ˆ๋‹ค. ์ด๋Ÿฌํ•œ comdeckํŒŒ์ผ์€ โ€œHeader Fileโ€์ด๋ฉฐ โ€œincludeโ€๋ฌธ์„ ์‚ฌ์šฉํ•˜์—ฌ ์„œ๋ธŒ ๋ฃจํ‹ด์— ํ†ตํ•ฉ๋ฉ๋‹ˆ๋‹ค. ์ผ๋ฐ˜์ ์ธ โ€œincludeโ€๋ฌธ์€ ๋‹ค์Œ๊ณผ ๊ฐ™์Šต๋‹ˆ๋‹ค.

 include โ€˜../comdeck/params.f90โ€™

์ปดํŒŒ์ผ์‹œ comdeckํŒŒ์ผ์˜ FORTRAN ์†Œ์Šค๋Š” โ€œincludeโ€๋ฌธ์„ ํฌํ•จํ•˜๋Š” ์„œ๋ธŒ ๋ฃจํ‹ด์— ์ธ๋ผ์ธ ๋ฉ๋‹ˆ๋‹ค. ๊ณตํ†ต ๋ธ”๋ก ๋ฐ ์„ค๋ช…์„ ์ผ๊ด€๋˜๊ฒŒ ์ •์˜ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์˜ˆ๋ฅผ ๋“ค์–ด ํŠน์ • ์…€์˜ ์ธ์ ‘ ํ•ญ๋ชฉ์— ๋Œ€ํ•œ ์ƒ‰์ธ ๊ณ„์‚ฐ๊ณผ ๊ฐ™์ด ์ž์ฃผ ์‚ฌ์šฉ๋˜๋Š” FORTRAN ์†Œ์Šค ์ฝ”๋“œ๊ฐ€ ํฌํ•จ๋œ comdeck ํŒŒ์ผ๋„ ์žˆ์Šต๋‹ˆ๋‹ค. ์ด ๊ฒฝ์šฐ comdeck ํŒŒ์ผ์€ ์ผ๋ฐ˜์ ์œผ๋กœ ์‚ฌ์šฉ๋˜๋Š” ์†Œ์Šค ์ฝ”๋“œ๋ฅผ ์ธ๋ผ์ธ ํ•˜๋Š” ๊ฐ„๋‹จํ•œ ๋ฐฉ๋ฒ•์ž…๋‹ˆ๋‹ค.

comdeckํŒŒ์ผ์˜ ๊ณตํ†ต ๋ธ”๋ก, ๋ชจ๋“ˆ ๋˜๋Š” ๋งค๊ฐœ ๋ณ€์ˆ˜๋Š” ์ œ๊ณต๋œ ๋ฃจํ‹ด์œผ๋กœ ์˜ค๋ธŒ์ ํŠธ ํŒŒ์ผ๋กœ ์ด๋ฏธ ์ปดํŒŒ์ผ ๋˜์—ˆ์œผ๋ฏ€๋กœ ๋ณ€๊ฒฝํ•˜์ง€ ๋งˆ์‹ญ์‹œ์˜ค. ์ด๋Ÿฌํ•œ ์ •์˜๋ฅผ ๋ณ€๊ฒฝํ•˜๋ฉด ๋ถˆ์ผ์น˜๊ฐ€ ๋ฐœ์ƒํ•˜์—ฌ FLOW-3D ๊ฐ€ ์˜ˆ์ธกํ•  ์ˆ˜ ์—†๋Š” ๋ฐฉ์‹์œผ๋กœ ์ž‘๋™ํ•ฉ๋‹ˆ๋‹ค. 

Customization ๊ฐ€๋Šฅ ์ด๋ฆ„ ๋ชฉ๋ก USRDAT ๊ทธ๋ฆฌ๊ณ  ๊ณตํ†ต ๋ธ”๋ก cbusr์ด ํŒŒ์ผ์„ ์ฐธ์กฐํ•˜๋Š” ๋ชจ๋“  ์„œ๋ธŒ ๋ฃจํ‹ด์ด ๋‹ค์‹œ ์ปดํŒŒ์ผ ๋˜๋ฉด ๋ณ€๊ฒฝ๋  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค (์ด๋ฅผ ์ฐธ์กฐํ•˜๋Š” ๋ชจ๋“  ๋ฃจํ‹ด์ด ์†Œ์Šค ํŒŒ์ผ๋กœ ์ œ๊ณต๋จ). ์ถ”๊ฐ€ ๊ณตํ†ต ๋ธ”๋ก์€ ์ƒˆ comdeckํŒŒ์ผ์— ์ •์˜๋  ์ˆ˜ ์žˆ์œผ๋ฉฐ, ํ•„์š”์— ๋”ฐ๋ผ ์†Œ์Šค ํŒŒ์ผ์— ํฌํ•จ๋  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

<์ฃผ์˜>

comdeckํŒŒ์ผ์˜ ๊ณตํ†ต ๋ธ”๋ก, ๋ชจ๋“ˆ ๋˜๋Š” ๋งค๊ฐœ ๋ณ€์ˆ˜๋Š” ์ œ๊ณต๋œ ๋ฃจํ‹ด์œผ๋กœ ์˜ค๋ธŒ์ ํŠธ ํŒŒ์ผ๋กœ ์ด๋ฏธ ์ปดํŒŒ์ผ ๋˜์—ˆ์œผ๋ฏ€๋กœ ๋ณ€๊ฒฝํ•˜์ง€ ๋งˆ์‹ญ์‹œ์˜ค. ์ด๋Ÿฌํ•œ ์ •์˜๋ฅผ ๋ณ€๊ฒฝํ•˜๋ฉด ๋ถˆ์ผ์น˜๊ฐ€ ๋ฐœ์ƒํ•˜์—ฌ FLOW-3D ๊ฐ€ ์˜ˆ์ธกํ•  ์ˆ˜ ์—†๋Š” ๋ฐฉ์‹์œผ๋กœ ์ž‘๋™ํ•ฉ๋‹ˆ๋‹ค.

FLOW-3D ์†”๋ฒ„์˜ ์„œ๋ธŒ ๋ฃจํ‹ด ๋ฐ ๊ธฐ๋Šฅ์—์„œ ์ผ๋ฐ˜์ ์œผ๋กœ ์‚ฌ์šฉ๋˜๋Š” ์ผ๋ถ€ include ํŒŒ์ผ์— ๋Œ€ํ•œ ์ž์„ธํ•œ ์„ค๋ช…์€ FLOW-3D ์„ค์น˜ ํŒŒ์ผ์— ํฌํ•จ๋˜์–ด ์žˆ๋Š” Help ํŒŒ์ผ์„ ์ฐธ๊ณ ํ•˜์‹œ๊ธฐ ๋ฐ”๋ž๋‹ˆ๋‹ค.

Low Pressure Die Casting Workspace (์ €์•• ์ฃผ์กฐ)

์ €์•• ์ฃผ์กฐ์˜ ์žฅ์ 

  • ๋†’์€ ์ˆ˜์ค€์˜ ์ž๋™ํ™”๋กœ ๋‹ค์ˆ˜ํ™•
  • ๊ทธ๋ฌผ ๋ชจ์–‘์˜ ์ฃผ์กฐ๋กœ ์ธํ•œ ๊ฐ€๊ณต๋น„ ์ ˆ๊ฐ
  • ์žฌ๋ฃŒ ๋ณด์กด์œผ๋กœ ์ธํ•œ ์ƒ์‚ฐ ํ–ฅ์ƒ ๋ฐ ๋ถˆ๋Ÿ‰๋ฅ  ๊ฐ์†Œ

์ €์•• ์ฃผ์กฐ์˜ workflow


์žฌ์งˆ ๋ฐ ๊ตฌ์„ฑ์š”์†Œ ์„ ํƒ

  • ๋ชจ๋“  ๊ธˆ์† ๋ฐ ๊ธˆํ˜•์˜ ์„ฑ์งˆ์€ ์‚ฌ์šฉ์ž๊ฐ€ ์ •์˜ํ•  ์ˆ˜ ์žˆ์Œ
  • ์žฌ์งˆ ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค๊ฐ€ ์ค€๋น„๋จ

CAD โ†’ MESH

  • FLOW-3D CAST๋Š” ์–ด๋–ค ํ˜•์ƒ์ผ์ง€๋ผ๋„ ์‰ฝ๊ณ  ์ž๋™์ ์œผ๋กœ ๊ฒฉ์ž๋ฅผ ์ƒ์„ฑํ•ด์คŒ
  • FAVOR ๊ธฐ๋Šฅ
  • ๊ฒฉ์ž ์†์„ฑ์˜ ์กฐ์ •์—†์ด๋„ ์ƒˆ๋กœ์šด ํ˜•์ƒ์„ ์‰ฝ๊ณ  ๋น ๋ฅด๊ฒŒ ์—…๋กœ๋“œํ•จ

์‘๊ณ  ๋ชจ๋ธ

  • FLOW-3D CAST๋Š” ๋‘ ๊ฐ€์ง€ ๋ชจ๋ธ๋กœ ๋‹ค๊ณต์„ฑ์„ ์‹๋ณ„ํ•  ์ˆ˜ ์žˆ์Œ
    – ๋‹จ์ˆœํ™”๋œ ์‘๊ณ  ์ˆ˜์ถ•
    – ์œ ์ฒด์˜ ํ๋ฆ„์ด ์—†์Œ
    – ์•ก์ฒด ์˜์—ญ์˜ ์˜จ๋„๋ฅผ ๊ธฐ์ค€
    – ์ธํ„ฐ๋ด๋“œ๋ฆฌํ‹ฑ ์˜ต์…˜
    – ๋น ๋ฅธ ๊ฒฐ๊ณผ์— ์‚ฌ์šฉ
    – ์ฃผ์š” ์ˆ˜์ถ• ๋ชจ๋ธ
    – ์œ ์ฒด ๋ฐ ์—ด์˜ ํ๋ฆ„์„ ๊ธฐ์ค€
    – ์žฌ์šฉํ•ด๋กœ ์ธํ•œ ๋ถ€ํ”ผ ํŒฝ์ฐฝ
    – ๋งค์šฐ ์ •ํ™•ํ•œ ์ตœ์ข… ๊ฒ€์ฆ

Output ์„ ํƒ & ํ›„์ฒ˜๋ฆฌ ๊ณผ์ •

  • ์ •ํ™•ํ•œ ์ถœ๋ ฅ ๋ณ€์ˆ˜๋ฅผ ์ •์˜
  • FlowSight๋ฅผ ์ด์šฉํ•˜์—ฌ ๊ณ ํ’ˆ์งˆ์˜ ์‹œ๊ฐ์  ๋ฐ์ดํ„ฐ๋ฅผ ์‰ฝ๊ฒŒ ๋ Œ๋”๋ง

Lost Foam Workspace | FLOW-3D CAST

Lost Foam์˜ ์žฅ์ 

  • ๊ณต์ฐจ๊ฐ€ ์—„๊ฒฉํ•˜๊ณ  ๋ณต์žกํ•œ ๋ถ€ํ’ˆ ๋ชจ๋ธ๋ง
    -ํ‘œ๋ฉด ๋งˆ๊ฐ์€ 2.5~25ใŽ›
    -ํฌ๊ธฐ๋Š” ํŒŒ์šด๋“œ์—์„œ ํ†ค๊นŒ์ง€ ๋‹ค์–‘ํ•จ
    -2.5mm์˜ ์ตœ์†Œ ๋‘๊ป˜๋ฅผ ์š”๊ตฌํ•จ
    -์ฃผ์ฒ , ์•Œ๋ฃจ๋ฏธ๋Š„ ํ•ฉ๊ธˆ, ๋‹ˆ์ผˆ ํ•ฉ๊ธˆ ๋ฐ ๊ฐ•์ฒ ๊ณผ ๊ฐ™์€ ๊ธˆ์†์ด Lost Foam์— ์‚ฌ์šฉ๋จ (๋•Œ๋กœ๋Š” ์Šคํ…Œ์ธ๋ฆฌ์Šค ์Šคํ‹ธ ๋ฐ ๊ตฌ๋ฆฌ๋„ ์‚ฌ์šฉ)
  • ์ฝ”์–ด๊ฐ€ ํ•„์š” ์—†์Œ
    -์ฝ”์–ด๋Š” ๋ฐ”์ธ๋”๋กœ ๋งŒ๋“ค์–ด์ง€๋ฉฐ ์—ด๋ถ„ํ•ด๋กœ ์ธํ•œ ๋‹ค๊ณต์„ฑ ๊ฒฐํ•จ์„ ์œ ๋ฐœํ•  ์ˆ˜ ์žˆ์Œ
  • ๋ถ„๋ฆฌ์„ ์ด ํ•„์š” ์—†์Œ
    -๋ถ„๋ฆฌ์„ ์ด ๋ฐœ์ƒํ•  ์ˆ˜ ์žˆ์Œ

๊ฒฐํ•จ ์˜ˆ์ธก

  • ์‹œ๋ฎฌ๋ ˆ์ด์…˜์€ ๊ฒฐํ•จ ์˜์—ญ์„ ์ •ํ™•ํ•˜๊ฒŒ ์‹๋ณ„ํ•˜๊ณ  ๊ฒฐํ•จ์˜ ์›์ธ์— ๋Œ€ํ•œ ํ†ต์ฐฐ๋ ฅ์„ ์ œ๊ณตํ•  ์ˆ˜ ์žˆ์Œ
    -ํƒ•๊ฒฝ
    -๊ธฐํฌ
    -์ ‘ํž˜
    -๊ธฐํฌ ์ž”์—ฌ๋ฌผ
    -์ดˆ๊ณผ ๋ฐ ์ž”๋ฅ˜ ๋ชจ๋ฉ˜ํ…€

๋ชจ๋ธ๋ง ๊ฐ€์ •

  1. ๋ชจ๋“  ํด๋ฆฌ๋จธ ํŒจํ„ด์€ ๊ธฐ์ฒด๋กœ ์ œ๊ฑฐ๋จ
  2. ์ฝ”ํŒ…, ๋ชจ๋ž˜์˜ ํˆฌ๊ณผ์„ฑ, ํŒจํ„ด์€ ๊ธฐ์ฒด๋ฅผ ์ œ๊ฑฐํ•˜๋Š”๋ฐ ์ถฉ๋ถ„ํ•จ
  3. ๊ธˆ์† ์†๋„๋Š” ์—ด์ „๋‹ฌ ๋ฐ ๊ธฐํฌ ๋ถ„ํ•ด ํŠน์„ฑ์— ์˜ํ•ด ์ œ์–ด๋จ
  4. ๊ธˆ์†๊ณผ ํŒจํ„ด์˜ ์ ‘์ ์—์„œ ๊ธˆ์†์˜ ์˜จ๋„๋Š” ํŒจํ„ด์„ ๊ธฐ์ฒด๋กœ ์™„์ „ํžˆ ๋ถ„ํ•ดํ•˜๊ณ  ๊ธˆ์†๊ณผ ํŒจํ„ด์˜ ์ ‘์  ๋’ค์˜ ๋ชจ๋ž˜ ์†์‹ค๋กœ ์ธํ•ด ํ•„์š”ํ•œ ์—๋„ˆ์ง€์˜ ๊ฒฐ๊ณผ

๋ณต์žกํ•˜๊ฒŒ ์ฑ„์›Œ์ง€๋Š” ๋™์ž‘


Lost Foam ์ž‘์—… ๊ณต๊ฐ„

  • 2000๋…„ ์ผ๋ฐ˜ ๋ชจํ„ฐ ํšŒ์‚ฌ, AFS Lost Foam Consortium, ๋ฏธ๊ตญ ์—๋„ˆ์ง€๋ถ€ ๋ฐ ์•จ๋ผ๋ฐฐ๋งˆ ๋ฒ„๋ฐ์—„ ๋Œ€ํ•™๊ณผ ๊ณต๋™์œผ๋กœ ๊ฐœ๋ฐœ
  • GM์˜ ์—ฐ๊ตฌ์›์€ Lost Foam casting ์‹œ๋ฎฌ๋ ˆ์ด์…˜๊ณผ ์‹ค์ œ ์ฃผ์กฐ ์‹œํ—˜๊ณผ ์—ฐ๊ด€์‹œํ‚ด
  • ๊ธฐํฌ์™€ ๊ธˆ์†์˜ ์ ‘์ •์„ ๋ถ„์„ํ•˜์—ฌ ๊ธˆ์†์˜ ํ๋ฆ„์ด ์–ด๋–ป๊ฒŒ ๊ฒฐํ•จ์„ ๋ฐœ์ „์‹œํ‚ค๊ณ  ์ฃผ์กฐ์˜ ํ’ˆ์งˆ์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š”์ง€ ์•Œ์•„๋ƒ„

GM “Box Cast” ๊ฒ€์ฆ


Permanent Mold Workspace | FLOW-3D CAST

์˜๊ตฌ ๊ธˆํ˜• ์ฃผ์กฐ์˜ ์žฅ์ 

  • ๋†’์€ ์ƒ์‚ฐ๋ฅ ์— ์ ํ•ฉ
  • ๋ชจ๋ž˜์— ๋น„ํ•ด ๋ณต์žกํ•œ ๊ธˆํ˜•์— ์šฉ์ดํ•˜๊ณ  ํ‘œ๋ฉด ์กฐ๋„ ๋ฐ ์น˜์ˆ˜ ์ •ํ™•๋„๊ฐ€ ๋†’์Œ
  • ์žฌ๋ฃŒ ๋ณด์กด์œผ๋กœ ์ธํ•œ ์ˆ˜์œจ ํ–ฅ์ƒ ๋ฐ ๊ธˆํ˜• ๊ด€๋ จ ๊ฒฐํ•จ ๋ฐœ์ƒ์ด ๊ฐ์†Œ

์˜๊ตฌ ๊ธˆํ˜•์˜ workflow


์žฌ๋ฃŒ์™€ ๊ตฌ์„ฑ์š”์†Œ์˜ ์„ ํƒ

  • ๋ชจ๋“  ๊ธˆ์† & ์ฃผํ˜•์˜ ์žฌ์งˆ์€ ์‚ฌ์šฉ์ž๋กœ๋ถ€ํ„ฐ ์ œ์ž‘๋  ์ˆ˜ ์žˆ์Œ.
  • ์žฌ์งˆ์˜ ๋ฐ์ดํ„ฐ๋Š” ๊ฐ–์ถ”์–ด์ง.

CAD โ†’ MESH

  • FLOW-3D CAST๋Š” ์‚ฌ์šฉ์ž๊ฐ€ ๋งŒ๋“  stlํŒŒ์ผ์— ์•Œ๋งž๊ฒŒ ์‰ฝ๊ณ  ์ž๋™์œผ๋กœ ๊ฒฉ์ž๋ฅผ ์ƒ์„ฑํ•ด์คŒ.
  • FAVOR = Fractional Area-Volume Obstacle Representation
  • ๊ฒฉ์ž์˜ ์„ฑ์งˆ์˜ ์กฐ์ •์—†์ด ๋น ๋ฅด๊ณ  ์‰ฝ๊ฒŒ ์ƒˆ๋กœ์šด ๋ชจํ˜•์„ ์—…๋กœ๋“œ

์‘๊ณ  ๋ชจ๋ธ


์ถœ๋ ฅ ์„ ํƒ & ํ›„์ฒ˜๋ฆฌ ๊ณผ์ •

  • ์ •ํ™•ํ•œ ์ถœ๋ ฅ ๋ณ€์ˆ˜๋ฅผ ์ •์˜
  • FlowSight๋กœ ๊ณ ํ’ˆ์งˆ์˜ ์‹œ๊ฐ์  ๋ฐ์ดํ„ฐ๋ฅผ ์‰ฝ๊ฒŒ ๋ Œ๋”๋ง

Fluid dynamics modelling for additive manufacturing

ํŽ˜์ด์ง€ ํŽธ์ง‘

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Fluid dynamics modelling for additive manufacturing
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AMํ”„๋กœ์„ธ์Šค์— CFD๋ฅผ ์‚ฌ์šฉํ•ด์•ผํ•˜๋Š” ์ด์œ 

  • AM์˜ ์šฉ์œต ํ’€(Melt pool) ๋ถ„ํ•ด๋Šฅ(0.01 – 0.001mm ๊ธธ์ด ์Šค์ผ€์ผ)์—์„œ ์œ ์ฒด ํ๋ฆ„์„ ์ •ํ™•ํ•˜๊ฒŒ ํ‘œํ˜„
    – ํŒŒ์šฐ๋” ํŽ˜๋“œ ํผ์ง(Powder bed spreading) : DEM(Discrete Element Method)์„ ํ†ตํ•ด ํŒŒ์šฐ๋” ๋ฒ ๋“œ ์••์ถ• ๋ฐ ํก์ˆ˜ ํŠน์„ฑ์„ ์˜ˆ์ธกํ•˜๋Š”๋ฐ ๋„์›€
    – ์„ ํƒ์  ๋ ˆ์ด์ € ์šฉํ•ด : ๊ฒฐํ•จ ์„ค๊ณ„ ๊ณต๊ฐ„ ๋ฐ ์šฉ์œต ํ’€(Melt pooe) ํ˜•์ƒ ๋งคํ•‘ ๋ฐ ์˜ˆ์ธก
    – ๋น ๋ฅธ ์‘๊ณ (Solidification) : ๊ตฌ์„ฑ ๋ถ„๋ฆฌ ๋ฐ ์œ„์ƒ ํ•ต(Phase nucleation) ํ˜•์„ฑ ๋ฐ ์˜ˆ์ธก

ํŒŒ์šฐ๋” ์ฆ์ฐฉ ๋ฐ ๋ ˆ์ด์ € ์šฉ์œต(Powder deposition and laser melting)

  • ๋ชจ๋ธ ์ž…๋ ฅ : ํŒŒ์šฐ๋” ํฌ๊ธฐ ๋ถ„ํฌ, ํ•ฉ๊ธˆ ์žฌ๋ฃŒ ํŠน์„ฑ ๋ฐ ๋ ˆ์ด์ € ๊ณต์ • ๋งค๊ฐœ ๋ณ€์ˆ˜
  • ๋ชจ๋ธ ์ถœ๋ ฅ : ๊ฐ€์—ด/๋ƒ‰๊ฐ ํ”„๋กœํŒŒ์ผ, ๊ฒฐํ•จ ๋ฐ€๋„, ์กฐ์„ฑ ๋ณ€ํ™”

์—ฐ์† ๋ฐ ํŽ„์Šค ๋ ˆ์ด์ € ์šฉ์œต

  • Takeaway : ๋‘ ๋งค๊ฐœ ๋ณ€์ˆ˜ ์„ธํŠธ ๋ชจ๋‘ ๊ณ ๋ฐ€๋„ ์žฌ๋ฃŒ๋ฅผ ์ƒ์‚ฐํ•˜์ง€๋งŒ ์—ด ์ด๋ ฅ(History)์€ ์ƒ๋‹นํžˆ ๋‹ค๋ฆ„

๋ชจ๋ธ ์ •ํ™•๋„ ๋ฐ ๊ฒ€์ฆ

NiTi, Ti64 ๋ฐ 316L์—์„œ ์ˆ˜ํ–‰๋œ ๋ชจ๋ธ ๊ฒ€์ฆ

์šฉ์œต ํ’€(Melt pool) ํ˜•ํƒœ ๋ฐ ํ‚คํ™€๋ง(Keyholing)

๊ณต์ • ๊ณต๊ฐ„์—์„œ ์—ด๋ถ„ํ•ด์— ๋Œ€ํ•œ ๊ฒฝํ–ฅ

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Fluid dynamics modelling for additive manufacturing | FLOW-3D
/fluid-dynamics-modelling-for-additive-manufacturing/
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Fluid dynamics modelling for additive manufacturing

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2020-04-01 9:17 ์˜ค์ „
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๊ณต๊ฐœํ•˜๊ธฐ ํŒจ๋„ ์—ด๊ธฐ

FLOW-3D ์ œํ’ˆ ๋ฌธ์˜

์ œํ’ˆ ๋ฌธ์˜

๋‹จ๊ธฐ ๋˜๋Š” ์žฅ๊ธฐ ํ”„๋กœ์ ํŠธ ๋˜๋Š” ๊ตญ์ฑ… ์—ฐ๊ตฌ๊ณผ์ œ ์ˆ˜ํ–‰์‹œ FLOW-3D, FLOW-3D/MPย  ๋˜๋Š” FLOW-3D Cast ๋ฅผ ์ด์šฉํ•˜์—ฌ ํŠน์ • ๋ฌธ์ œ ํ•ด๊ฒฐ์„ ๊ฒ€ํ† ํ•˜๊ณ  ๊ณ„์‹ ๊ฐ€์š”?
๋‹ค์–‘ํ•œ ๊ตฌ๋งค์กฐ๊ฑด์„ ์ œ๊ณตํ•˜๋ฏ€๋กœ ์ตœ์†Œ์˜ ๋น„์šฉ์œผ๋กœ ๊ท€ํ•˜์˜ ํ”„๋กœ์ ํŠธ๋ฅผ ์„ฑ๊ณต๋ฆฌ์— ์ˆ˜ํ–‰ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
์ด์ „์— FLOW-3D๋ฅผ ์‚ฌ์šฉํ•ด ๋ณธ ๊ฒฝํ—˜์ด ์ „ํ˜€ ์—†์–ด๋„, ํ”„๋กœ์ ํŠธ ์ˆ˜ํ–‰์— ์ง€์žฅ์ด ์—†๋„๋ก Input ์ž‘์„ฑ๋ถ€ํ„ฐ ๋ถ„์„๋ฐฉ๋ฒ•๊นŒ์ง€ ์‰ฝ๊ณ  ๋น ๋ฅด๊ฒŒ ๋‹น์‚ฌ์˜ ์ „๋ฌธ ์—”์ง€๋‹ˆ์–ด๊ฐ€ ๋ฐ€์ฐฉ ์ง€์›ํ•ด ๋“œ๋ฆฝ๋‹ˆ๋‹ค.
์–ด๋–ค ๋ฌธ์ œ๋“ ์ง€ ์•„๋ž˜ ์—ฐ๋ฝ์ฒ˜๋กœ ๋ฌธ์˜ ์ฃผ์‹œ๋ฉด ๋„์›€์„ ๋ฐ›์„ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
๊ณ ๋„๋กœ ํ›ˆ๋ จ๋œ ์ „๋ฌธ ์—”์ง€๋‹ˆ์–ด ๊ธฐ์ˆ ์ง€์›ํŒ€์ด ์—ฌ๋Ÿฌ๋ถ„์„ ๋„์šธ ์ค€๋น„๊ฐ€ ๋˜์–ด ์žˆ์Šต๋‹ˆ๋‹ค.
์—ฐ๋ฝ์ฒ˜ : 02-2026-0442
์ด๋ฉ”์ผ : flow3d@stikorea.co.kr

์—”์ง€๋‹ˆ์–ด๋ง ํ”„๋กœ๊ทธ๋žจ ๊ฐœ๋ฐœ ์šฉ์—ญ

(์ฃผ)์—์Šคํ‹ฐ์•„์ด์”จ์•ค๋””๋Š” ๊ท€์‚ฌ์—์„œ ์ˆ˜ํ–‰์ค‘์ธ ์—…๋ฌด๋‚˜ ์•„์ด๋””์–ด๊ฐ€ ์žˆ๋Š”๋ฐ ํ”„๋กœ๊ทธ๋žจ์œผ๋กœ ๊ตฌํ˜„ํ•˜์ง€ ๋ชปํ•œ ๊ฒฝ์šฐ ๋‹น์‚ฌ์˜ ์ „๋ฌธ ๊ฐœ๋ฐœ์ž๊ฐ€ ์—”์ง€๋‹ˆ์–ด๋ง ์†Œํ”„ํŠธ์›จ์–ด ๊ฐœ๋ฐœ์„ ์ง€์›ํ•ฉ๋‹ˆ๋‹ค.
์ด๋ฅผ ํ†ตํ•ด ๊ท€ํ•˜๊ป˜์„œ ๋‹น๋ฉดํ•˜๊ณ  ์žˆ๋Š” ์—…๋ฌด์˜ ์ž๋™ํ™”๋‚˜ ํ•ด๊ฒฐํ•˜์ง€ ๋ชปํ•˜๋Š” ์—”์ง€๋‹ˆ์–ด๋ง ๋ฌธ์ œ๋ฅผ ์‰ฝ๊ฒŒ ํ•ด๊ฒฐํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
ํŠน์ • ๋ฌธ์ œ์— ๋Œ€ํ•œ ํ•ด๊ฒฐ์„ ์œ„ํ•ด ์—”์ง€๋‹ˆ์–ด์˜ ๋ฐฉ๋ฌธ์ด ํ•„์š”ํ•˜์‹  ๊ฒฝ์šฐ ์–ธ์ œ๋“ ์ง€ ์•„๋ž˜ ์—ฐ๋ฝ์ฒ˜๋กœ ๋ฌธ์˜ ์ฃผ์‹œ๊ธฐ ๋ฐ”๋ž๋‹ˆ๋‹ค.
์—ฐ๋ฝ์ฒ˜ : 02-2026-0455
์ด๋ฉ”์ผ : flow3d@stikorea.co.kr

FLOW-3D Home

๏ปฟ

์ˆ˜์น˜ํ•ด์„(CFD)์ด ํ•„์š”ํ•˜์‹ญ๋‹ˆ๊นŒ? ์•„๋งˆ FLOW-3D ๋Š” ๊ท€ํ•˜๊ฐ€ ์ฐพ์œผ์‹œ๋Š” ๋ถ„์•ผ์— ๊ฐ€์žฅ ์ ํ•ฉํ•œ ์ตœ์ ์˜ ์ˆ˜์น˜ํ•ด์„ ์†Œํ”„ํŠธ์›จ์–ด์ผ ๊ฒƒ์ž…๋‹ˆ๋‹ค.
์ฒœ์ฒœํžˆ ๋‹น์‚ฌ์˜ ํ™ˆํŽ˜์ด์ง€ ๋‚ด์šฉ์„ ์‚ดํŽด๋ณด์‹œ๋ฉด FLOW-3D ์˜ ๊ธฐ์ˆ ์ ์ธ ๊ฐ•์ ๊ณผ ์–ด๋–ค ๋ถ„์•ผ์— ์–ด๋–ป๊ฒŒ ์ ์šฉํ•˜์—ฌ ํšจ๊ณผ๋ฅผ ๋ณผ ์ˆ˜ ์žˆ๋Š”์ง€ ์•Œ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.FLOW-3D ๋Š” ๋ฒ”์šฉ 3 ์ฐจ์› ์ˆ˜์น˜ํ•ด์„(CFD) ์†Œํ”„ํŠธ์›จ์–ด๋กœ, ํŠนํžˆ ์ž์œ ํ‘œ๋ฉด(์ž์œ ์ˆ˜๋ฉด)์„ ๊ฐ€์ง„ ์œ ๋™ํ๋ฆ„์„ ์ •ํ™•ํ•˜๊ฒŒ ์˜ˆ์ธกํ•˜๋Š” ๋ถ„์•ผ์—์„œ๋Š” ํƒ€์˜ ์ถ”์ข…์„ ๋ถˆํ—ˆํ•˜๋Š” ์„ฑ๋Šฅ์„ ์ž๋ž‘ํ•ฉ๋‹ˆ๋‹ค. FLOW-3D ๋Š” ์ˆ˜ ๋งŽ์€ ๋ฌผ๋ฆฌ์  ์œ ๋™ํ˜„์ƒ์— ๋Œ€ํ•œ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๋ชจ๋ธ์„ ์ œ๊ณตํ•˜์—ฌ ์„ค๊ณ„ ๋ฐ ์šด์˜๋‹จ๊ณ„์—์„œ ์—”์ง€๋‹ˆ์–ด์—๊ฒŒ ๊ท€์ค‘ํ•œ ํ†ต์ฐฐ๋ ฅ์„ ์ œ๊ณตํ•  ์ˆ˜ ์žˆ๋Š” ์„ธ๊ณ„์ ์ธ CFD ์†Œํ”„ํŠธ์›จ์–ด์ž…๋‹ˆ๋‹ค.FLOW-3D ๋Š” ํ•ด์„์— ํ•„์š”ํ•œ ๋ชจ๋“  ๊ธฐ๋Šฅ์„ ์ œ๊ณตํ•˜๋Š” ํ’€ ํŒจํ‚ค์ง€ ์†Œํ”„ํŠธ์›จ์–ด๋กœ, ๊ฒฉ์ž ๋ฐ ๊ฒฐ๊ณผ ๋ถ„์„์— ์ถ”๊ฐ€ ๋น„์šฉ์ด ํ•„์š” ์—†์Šต๋‹ˆ๋‹ค.
๋˜ํ•œ ๊ธฐ์กด์˜ CAD ์‹œ์Šคํ…œ์ด๋‚˜ ํƒ€ ์†Œํ”„ํŠธ์›จ์–ด์—์„œ ์ƒ์„ฑ๋œ ๋ชจ๋ธ๋ฐ์ดํ„ฐ๋ฅผ STL๋กœ ์ฝ์„ ์ˆ˜ ์žˆ๊ธฐ ๋•Œ๋ฌธ์— ๊ธฐ์กด ๋ชจ๋ธ๋ฐ์ดํ„ฐ๋ฅผ ์‰ฝ๊ฒŒ ํ™œ์šฉํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
FLOW-3D ์˜ ๊ฐ€์žฅ ํฐ ํŠน์ง•์€ ๋‹จ ๋ช‡๋ฒˆ์˜ ์กฐ์ž‘๋งŒ์œผ๋กœ ๊ฒฉ์ž๋ฅผ ์ƒ์„ฑํ•  ์ˆ˜ ์žˆ์œผ๋ฉฐ, ์ดˆ๋ณด์ž๋„ ์‰ฝ๊ฒŒ ์‹œ์ž‘ํ•  ์ˆ˜ ์žˆ๊ณ , ๋งค์šฐ ๋›ฐ์–ด๋‚œ ์ •ํ™•์„ฑ์„ ๊ฐ€์ง€๊ณ  ์žˆ๋‹ค๋Š” ์  ์ž…๋‹ˆ๋‹ค.

FLOW-3D ๋Š” FDM (Finite Difference Method : ์œ ํ•œ์ฐจ๋ถ„๋ฒ•)์— ๋”ฐ๋ผ ๋น„์ •์ƒ ํ๋ฆ„์„ ํ•ด์„ํ•˜๋Š”๋ฒ”์šฉ 3 ์ฐจ์› CFD ์†Œํ”„ํŠธ์›จ์–ด๋กœ, ๋น„์••์ถ•์„ฑ ๋ฐ ์••์ถ•์„ฑ์„ ๊ณ ๋ คํ•œ 2์ฐจ์› / 3์ฐจ์› ์—ด ์œ ๋™ ๋ฌธ์ œ, ์ƒ ๋ณ€ํ™”, ๋‹ค์–‘ํ•œ ์ ์„ฑ ํ˜„์ƒ ๋ฐ ์œ ์ฒดโ€“๊ตฌ์กฐ ์—ฐ์„ฑ ๋“ฑ์˜ ๋‹ค์ค‘ ๋ฌผ๋ฆฌ ๋ฌธ์ œ๋ฅผ ํ•ด์„ํ•  ์ˆ˜ ์žˆ์œผ๋ฉฐ, ํŠนํžˆ ์ž์œ ํ‘œ๋ฉด ๋ฐ ๋‘ ์œ ์ฒด์‚ฌ์ด ๊ณ„๋ฉด์— ๋Œ€ํ•œ ๊ณ ์† ยท ๊ณ ์ •๋ฐ€๋„ ํ•ด์„์— ํƒ์›”ํ•ฉ๋‹ˆ๋‹ค.

์ˆ˜์น˜ํ•ด์„๊ณผ ๊ด€๋ จํ•˜์—ฌ ๊ถ๊ธˆํ•˜์‹  ์‚ฌํ•ญ์€ ์–ธ์ œ๋“ ์ง€ ๋ถ€๋‹ด์—†์ด ๋ฌธ์˜ ํ•ด์ฃผ์‹ญ์‹œ์˜ค.
๊ฐ์‚ฌํ•ฉ๋‹ˆ๋‹ค.

FLOW-3D ์ œํ’ˆ ์•ˆ๋‚ด
FLOW-3D ์ œํ’ˆ ์•ˆ๋‚ด

FLOW-3D MP๋ฒ„์ „ ์•ˆ๋‚ด
FLOW-3D MP๋ฒ„์ „ ์•ˆ๋‚ด

FLOW-3D Cast ๋ฒ„์ „ ์•ˆ๋‚ด
FLOW-3D Cast ๋ฒ„์ „ ์•ˆ๋‚ด

Technical Resource

FLOW-3D ๋‹น์‚ฌ์˜ ์ฃผ๋ ฅ ์ œํ’ˆ์œผ๋กœ ๊ฐ•๋ ฅํ•˜๊ณ  ๋งค์šฐ ์ •ํ™•ํ•œ ๋‹ค์ค‘ ๋ฌผ๋ฆฌ ์ „์‚ฐ ์œ ์ฒด์—ญํ•™(CFD) ํŒจํ‚ค์ง€ ํ”„๋กœ๊ทธ๋žจ…
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FLOW-3D/MP ๋Š” ๋งค์šฐ ํฐ ์˜์—ญ ๋˜๋Š” ๊ธด runtime ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•˜๊ธฐ ์œ„ํ•ด ๊ณ ์„ฑ๋Šฅ ์ปดํ“จํŒ…์„ ์‚ฌ์šฉํ•  ์ˆ˜…
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FLOW-3D Cast ๋Š” ๋‹ค์–‘ํ•œ ์ฃผ์กฐ ๊ณต์ •์˜ ์ถฉ์ „ ๋ฐ ์‘๊ณ , ๊ฒฐํ•จ ๋ถ„ํฌ ์˜ˆ์ธก์ด ๊ฐ€๋Šฅํ•œ 3์ฐจ์› ์œ ๋™ํ•ด์„ ํ”„๋กœ๊ทธ๋žจ…
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FLOW-3D ์ œํ’ˆ์— ๋Œ€ํ•œ ๊ธฐ์ˆ ์ž๋ฃŒ์™€ ์ด๋ก  ๋ฐ ๋…ผ๋ฌธ ๋“ฑ ๋‹ค์–‘ํ•œ ๊ธฐ์ˆ ์ž๋ฃŒ๋ฅผ ์ œ๊ณตํ•ฉ…
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์‹ ๊ทœ์†Œ์‹ ๋ฐ ๊ธฐ์ˆ ์ž๋ฃŒ

FLOW-3D 2026 European User Conference

FLOW-3D 2026 European User Conference

FLOW-3D 2026 European User Conference 6์›” 16์ผ๋ถ€ํ„ฐ 17์ผ๊นŒ์ง€ ๋’ค์…€๋„๋ฅดํ”„์˜ Steigenberger Icon Parkhotel์—์„œ ์—ด๋ฆฌ๋Š” FLOW-3D 2026 European User Conference์— ๊ณ ๊ฐ ์—ฌ๋Ÿฌ๋ถ„์„ ์ดˆ๋Œ€ํ•ฉ๋‹ˆ๋‹ค. ์ฃผ์š” ๊ธฐ์—… ๋ฐ ๊ธฐ๊ด€์˜ ๋™๋ฃŒ ์—”์ง€๋‹ˆ์–ด, ์—ฐ๊ตฌ์›, ๊ณผํ•™์ž๋“ค๊ณผ ์—ฐ๊ฒฐํ•˜์—ฌ ...
FLOW-3D WELD/AM

FLOW-3D WELD/AM ์›จ๋น„๋‚˜ ์•ˆ๋‚ด

์šฉ์ ‘ ๋ฐ 3Dํ”„๋ฆฐํŒ…์— ํŠนํ™”๋œ ์ˆ˜์น˜ํ•ด์„ ํ”„๋กœ๊ทธ๋žจ์ธ FLOW-3D WELD/AM์˜ ์ƒˆ๋กœ์šด ๊ธฐ๋Šฅ์„ ์†Œ๊ฐœํ•ด ๋“œ๋ฆด ์›จ๋น„๋‚˜๋ฅผ ๊ฐœ์ตœํ•ฉ๋‹ˆ๋‹ค. ์ด๋ฒˆ ์›จ๋น„๋‚˜์—์„œ๋Š” ์ต์ˆ™ํ•˜์ง€๋งŒ ๋†“์น˜๊ณ  ์žˆ์—ˆ๋˜ FLOW-3D WELD/AM์˜ ํ•ต์‹ฌ ๊ธฐ๋Šฅ๊ณผ ๋”์šฑ ๊ฐ•๋ ฅํ•ด์ง„ ์ตœ์‹  ์—…๋ฐ์ดํŠธ ๋‚ด์šฉ์„ ์ง‘์ค‘์ ์œผ๋กœ ๋‹ค๋ฃน๋‹ˆ๋‹ค ...

FLOW-3D ๊ต์œก ์•ˆ๋‚ด ๋ฐ ์‹ ์ฒญ

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FLOW-3D CFD EDUCATION

FLOW-3D ๋ถ„์•ผ๋ณ„ ๊ต์œก ๊ณผ์ • ์•ˆ๋‚ด


  • ๊ต์œก ๊ณผ์ •๋ช… : ์ˆ˜๋ฆฌ ๋ถ„์•ผ

๋Œ, ํ•˜์ฒœ์˜ ์—ฌ์ˆ˜๋กœ, ์ˆ˜๋ฌธ ๋“ฑ ๊ตฌ์กฐ๋ฌผ ์„ค๊ณ„ ๋ฐ ๋ฐฉ๋ฅ˜, ์›”๋ฅ˜ ๋“ฑ ํ๋ฆ„ ๊ฒ€ํ† ๋ฅผ ํ•˜๊ธฐ ์œ„ํ•œ ์œ ๋™ ํ•ด์„ ๋ฐฉ๋ฒ•์„ ์†Œ๊ฐœํ•˜๋Š” ๊ต์œก ๊ณผ์ •์ž…๋‹ˆ๋‹ค. ์œ ์ž… ์กฐ๊ฑด(์ˆ˜์œ„, ์œ ๋Ÿ‰ ๋“ฑ)๊ณผ ์œ ์ถœ ์กฐ๊ฑด์— ๋”ฐ๋ฅธ ๋ฐฉ๋ฅ˜๋Ÿ‰ ๋ฐ ์œ ์†, ์••๋ ฅ ๋ถ„ํฌ ๋“ฑ ์œ ์ฒด์˜ ํ๋ฆ„์„ ๊ฒ€ํ† ๋ฅผ ํ•  ์ˆ˜ ์žˆ๋„๋ก ๊ด€๋ จ ์˜ˆ์ œ๋ฅผ ํ†ตํ•ด ์ ์ ˆํ•œ ๊ธฐ๋Šฅ์„ ์Šต๋“ํ•˜์‹ค ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

  • ๊ต์œก ๊ณผ์ •๋ช… : ํ•ด์–‘ ๋ถ„์•ผ

ํ•ด์•ˆ, ํ•ญ๋งŒ, ํ•ด์–‘ ๊ตฌ์กฐ๋ฌผ์— ๋Œ€ํ•œ ํŒŒ๋ž‘์˜ ์˜ํ–ฅ ๋ฐ ์œ ์ฒด์˜ ์ˆ˜์œ„, ์œ ์†, ์••๋ ฅ์˜ ์˜ํ–ฅ์„ ์˜ˆ์ธกํ•  ์ˆ˜ ์žˆ๋Š” ํ•ด์„ ๋ฐฉ๋ฒ•์„ ์†Œ๊ฐœํ•˜๋Š” ๊ณผ์ •์ž…๋‹ˆ๋‹ค. ํ•ญ์ฃผํŒŒ, ์Šฌ๋กœ์‹ฑ, ๊ณ„๋ฅ˜ ๋“ฑ ํ•ด์•ˆ, ํ•ด์–‘, ์—๋„ˆ์ง€, ํ”Œ๋žœํŠธ ๋ถ„์•ผ ๊ตฌ์กฐ๋ฌผ ์„ค๊ณ„ ๋ฐ ๊ฒ€ํ† ์— ํ•„์š”ํ•œ ์œ ๋™ํ•ด์„์„ ํ•˜์‹ค ์ˆ˜ ์žˆ๋Š” ๋ฐฉ๋ฒ•์„ ์•Œ๋ ค๋“œ๋ฆฝ๋‹ˆ๋‹ค. ๊ฐ ํ˜„์ƒ์— ๋Œ€ํ•œ ์ ์ ˆํ•œ ์˜ˆ์ œ๋ฅผ ํ†ตํ•ด ๊ธฐ๋Šฅ์„ ์Šต๋“ํ•˜์‹ค ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

  • ๊ต์œก ๊ณผ์ •๋ช… : ์ฃผ์กฐ ๋ถ„์•ผ

์ฃผ์กฐ ๋ถ„์•ผ ์‚ฌ์šฉ์ž๋“ค์ด ์‰ฝ๊ฒŒ ์ ‘๊ทผํ•  ์ˆ˜ ์žˆ๋„๋ก ๊ฐ ๊ณต์ •๋ณ„๋กœ ํ•ด์„ ์ ˆ์ฐจ ๋ฐ ํ•ด์„ ๋ฐฉ๋ฒ•์„ ์†Œ๊ฐœํ•˜๋Š” ๊ต์œก ๊ณผ์ •์ž…๋‹ˆ๋‹ค. ๊ณ ์••๋‹ค์ด์บ์ŠคํŒ…, ์ €์••๋‹ค์ด์บ์ŠคํŒ…, ๊ฒฝ๋™์ฃผ์กฐ, ์ค‘๋ ฅ์ฃผ์กฐ, ์›์‹ฌ์ฃผ์กฐ, ์ •๋ฐ€์ฃผ์กฐ ๋“ฑ ์ฃผ์กฐ ๊ณต๋ฒ• ๋ณ„ ๊ด€๋ จ ์˜ˆ์ œ๋ฅผ ํ†ตํ•ด ์ ์ ˆํ•œ ๊ธฐ๋Šฅ๋“ค์„ ์Šต๋“ํ•  ์ˆ˜ ์žˆ๋„๋ก ๋„์™€ ๋“œ๋ฆฝ๋‹ˆ๋‹ค.

  • ๊ต์œก ๊ณผ์ •๋ช… : ๋ ˆ์ด์ € ์šฉ์ ‘ ๋ถ„์•ผ

๋ ˆ์ด์ € ์šฉ์ ‘ ํ•ด์„์„ ํ•˜๊ธฐ ์œ„ํ•œ ๋ฌผ๋ฆฌ ๋ชจ๋ธ๊ณผ ์šฉ์ ‘ ์กฐ๊ฑด๋“ค์„ ์„ค์ •ํ•˜๋Š” ๋ฐฉ๋ฒ•์— ๋Œ€ํ•ด ์†Œ๊ฐœํ•˜๋Š” ๊ต์œก ๊ณผ์ •์ž…๋‹ˆ๋‹ค. ํ•ด์„์„ ํ†ตํ•ด ์šฉ์ ‘ ๊ณต์ •์„ ์ตœ์ ํ™”ํ•  ์ˆ˜ ์žˆ๋„๋ก ๊ด€๋ จ ์˜ˆ์ œ์™€ ํ•จ๊ป˜ ์ ์ ˆํ•œ ๊ธฐ๋Šฅ๋“ค์„ ์Šต๋“ํ•  ์ˆ˜ ์žˆ๋„๋ก ๋„์™€ ๋“œ๋ฆฝ๋‹ˆ๋‹ค.

  • ๊ต์œก ๊ณผ์ •๋ช… : 3Dํ”„๋ฆฐํŒ… ๋ถ„์•ผ ๊ณผ์ •

Powder Bed Fusion(PBF)์™€ Directed Energy Deposition(DED) ๊ณต์ •์— ๋Œ€ํ•œ ํ•ด์„ ๋ฐฉ๋ฒ•์„ ์†Œ๊ฐœํ•˜๋Š” ๊ต์œก ๊ณผ์ •์ž…๋‹ˆ๋‹ค. ํŒŒ์šฐ๋” ์ ์ธต ๋ฐ ๋ ˆ์ด์ € ๋น”์„ ์กฐ์‚ฌํ•˜๋ฉด์„œ ๋™์‹œ์— ๊ธˆ์† ํŒŒ์šฐ๋” ์šฉ์œต์ง€๊ฐ€ ์ ์ธต๋˜๋Š” ๊ณต์ •์„ ํ•ด์„ํ•˜๋Š” ๋ฐฉ๋ฒ•์„ ๊ด€๋ จ ์˜ˆ์ œ์™€ ํ•จ๊ป˜ ์Šต๋“ํ•˜์‹ค ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

๊ณ ๊ฐ ๋งž์ถคํ˜• ๊ณผ์ •


์ƒ๊ธฐ ๊ณผ์ • ์ด์™ธ์˜ ๊ฒฝ์šฐ ๊ณ ๊ฐ์˜ ์‚ฌ์—… ์—…๋ฌด ํ™˜๊ฒฝ์— ์ ํ•ฉํ•œ ์‚ฌ๋ก€๋ฅผ ์ค‘์‹ฌ์œผ๋กœ ๋งž์ถคํ˜• ๊ต์œก์„ ์‹ค์‹œํ•ฉ๋‹ˆ๋‹ค. ํ•„์š”ํ•˜์‹  ๋ถ€๋ถ„์ด ์žˆ์œผ์‹œ๋ฉด ์–ธ์ œ๋“ ์ง€ ๊ต์œก ๋‹ด๋‹น์ž์—๊ฒŒ ์—ฐ๋ฝํ•˜์—ฌ ํ˜‘์˜ํ•ด ์ฃผ์‹œ๊ธฐ ๋ฐ”๋ž๋‹ˆ๋‹ค.

๊ณ ๊ฐ์„ผํ„ฐ ๋ฐ ๊ต์œก ๋‹ด๋‹น์ž

  • ์ „ํ™” : 02)2026-0450, 02)2026-0455
  • ์ด๋ฉ”์ผ : flow3d@stikorea.co.kr

๊ต์œก ์ผ์ • ์•ˆ๋‚ด


Education Banner

๊ต์œก์€ ๋งค์›” ์ •ํ•ด์ง„ ์ผ์ •์— ์‹œํ–‰๋˜๋Š” ์ •๊ธฐ ๊ต์œก๊ณผ ๊ณ ๊ฐ์˜ ์š”์ฒญ์— ์˜ํ•ด ์‹œํ–‰๋˜๋Š” ๋น„์ •๊ธฐ ๊ต์œก์ด ์žˆ์Šต๋‹ˆ๋‹ค. ๋น„์ •๊ธฐ ๊ต์œก์€ ๋ณ„๋„๋ฌธ์˜ ๋ฐ”๋ž๋‹ˆ๋‹ค.

1. ์—ฐ๊ฐ„๊ต์œก ์ผ์ •

Education_2026


2. ๊ต์œก ๋‚ด์šฉ : FLOW-3D Basic

  1. FLOW-3D ์†Œ๊ฐœ ๋ฐ ์ด๋ก 
    • FLOW-3D ์†Œ๊ฐœ  – ์—ฐํ˜, ํŠน์ง• ๋“ฑ
    • FLOW-3D ๊ธฐ๋ณธ ๊ฐœ๋…
      • VOF
      • FAVOR
    • ํ•ด์„์‚ฌ๋ก€ ๋ฆฌ๋ทฐ
  2. GUI ์†Œ๊ฐœ ๋ฐ ์‚ฌ์šฉ๋ฒ•
    • ํ•ด์„ ๋ชจ๋ธ ์ž‘์„ฑ๋ฒ•  – ๋ฌผ๋ฆฌ ๋ชจ๋ธ ์„ค์ •
      • ๋ชจ๋ธ ํ˜•์ƒ ์ •์˜
      • ๊ฒฉ์ž ๋ถ„ํ• 
      • ์ดˆ๊ธฐ ์œ ์ฒด ์ง€์ •
      • ๊ฒฝ๊ณ„ ์กฐ๊ฑด ์„ค์ •
    • ํ•ด์„ ๊ฒฐ๊ณผ ๋ถ„์„ ๋ฐฉ๋ฒ•  – ํ•ด์„ ๋ชจ๋ธ ์„ค๋ช…
  3. ํ•ด์„ ๋ชจ๋ธ ์ž‘์„ฑ ์‹ค์Šต
    • ํ•ด์„ ๋ชจ๋ธ ์ž‘์„ฑ ์‹ค์Šต  – ๊ฒฉ์ž ๋ถ„ํ• 
      • ๋ฌผ๋ฆฌ ๋ชจ๋ธ ์„ค์ •
      • ๋ชจ๋ธ ํ˜•์ƒ ๋ฐ ์ดˆ๊ธฐ ์กฐ๊ฑด ์ •์˜
      • ๊ฒฝ๊ณ„ ์กฐ๊ฑด ์„ค์ •
      • ํ•ด์„ ๊ณผ์ • ๋ชจ๋‹ˆํ„ฐ๋ง
      • ํ•ด์„ ๊ฒฐ๊ณผ ๋ถ„์„
    • ์งˆ์˜ ์‘๋‹ต ๋ฐ ํ† ์˜

3. ๊ต์œก ๊ณผ์ • : FLOW-3D Advanced

  1. Physics โ… 
    • Density evaluation
    • Drift flux
    • Scalars
    • Sediment scour
    • Shallow water
  2. Physics โ…ก
    • Gravity and non-inertial reference frame
    • Heat transfer
    • Moving objects
    • Solidification
  3. FLOW-3D POST (Post-processor)
    • FLOW-3D POST ์†Œ๊ฐœ
    • Interface Basics
    • ์˜ˆ์ œ ์‹ค์Šต

FLOW-3D ๊ต์œก ์‹ ์ฒญ ๋ฐฉ๋ฒ• ์•ˆ๋‚ด


  • ๊ต์œก ์‹ ์ฒญ์€ ํ™ˆํŽ˜์ด์ง€์˜ ๊ต์œก ์‹ ์ฒญ ์ฐฝ์—์„œ ์ตœ์†Œ 3์ผ ์ „์— ์‹ ์ฒญํ•ฉ๋‹ˆ๋‹ค.
  • ๋ชจ๋“  ๊ต์œก๊ณผ์ •์€ ์‹ ์ฒญ ์ธ์›์ด 2์ธ ์ด์ƒ์ผ๋•Œ ๊ฐœ์„ค๋˜๋ฉฐ, ์„ ์ฐฉ์ˆœ ๋งˆ๊ฐ์ž…๋‹ˆ๋‹ค.
  • ๊ต์œก ์‹ ์ฒญ์„ ์™„๋ฃŒํ•˜์‹œ๋ฉด, ์‹ ์ฒญ์‹œ ์ž…๋ ฅํ•˜์‹  ๋ฉ”์ผ์ฃผ์†Œ๋กœ ๊ต์œก ๋‹ด๋‹น์ž๊ฐ€ ํ™•์ธ ๋ฉ”์ผ์„ ๋ณด๋‚ด๋“œ๋ฆฝ๋‹ˆ๋‹ค.
  • ๊ต์œก ์‹œ๊ฐ„์€ Basic : ์˜ค์ „10์‹œ~์˜คํ›„5์‹œ, Advanced : ์˜คํ›„1์‹œ30๋ถ„~์˜คํ›„5์‹œ30๋ถ„๊นŒ์ง€์ž…๋‹ˆ๋‹ค.
  • ๊ต์œก๋น„ ์•ˆ๋‚ด
    • FLOW-3D, FLOW-3D CAST, FLOW-3D HYDRO Basic (2์ผ) : ๊ธฐ์—… 66๋งŒ์›, ํ•™์ƒ 55๋งŒ์›
    • FLOW-3D WELD/AM Basic ๋ ˆ์ด์ €์šฉ์ ‘, 3D ํ”„๋ฆฐํŒ…(2์ผ) : ๊ธฐ์—… 88๋งŒ์›, ํ•™์ƒ 66๋งŒ์›
    • FLOW-3D Advanced (1์ผ) : ๊ธฐ์—… 33๋งŒ์›, ํ•™์ƒ 25๋งŒ์›
    • ์ƒ๊ธฐ ๊ฐ€๊ฒฉ์€ ๋ถ€๊ฐ€์„ธ ํฌํ•จ ๊ฐ€๊ฒฉ์ž…๋‹ˆ๋‹ค.
  • ๊ต์œก๋น„๋Š” ํ˜„๊ธˆ(๊ณ„์ขŒ์ด์ฒด)๋กœ ๋‚ฉ๋ถ€ ๊ฐ€๋Šฅํ•˜๋ฉฐ, ๊ต์žฌ ๋ฐ ์ค‘์‹์ด ์ œ๊ณต๋ฉ๋‹ˆ๋‹ค.
  • ์„ธ๊ธˆ๊ณ„์‚ฐ์„œ ๋ฐœ๊ธ‰์„ ์œ„ํ•ด ์‚ฌ์—…์ž๋“ฑ๋ก์ฆ ๋˜๋Š” ์‹ ๋ถ„์ฆ ์‚ฌ๋ณธ์„ ํ•จ๊ป˜ ์ฒจ๋ถ€ํ•˜์—ฌ ์‹ ์ฒญํ•ด ์ฃผ์‹œ๊ธฐ ๋ฐ”๋ž๋‹ˆ๋‹ค.
  • ๊ต์œก ์ข…๋ฃŒ ํ›„ ์ด๋ฉ”์ผ๋กœ ์ˆ˜๋ฃŒ์ฆ์ด ๋ฐœ๊ธ‰๋ฉ๋‹ˆ๋‹ค.
๊ณ ๊ฐ์„ผํ„ฐ ๋ฐ ๊ต์œก ๋‹ด๋‹น์ž
  • ์ „ํ™” : 02)2026-0450, 02)2026-0455
  • ์ด๋ฉ”์ผ : flow3d@stikorea.co.kr
๊ต์œก ์žฅ์†Œ ์•ˆ๋‚ด
  • ์ง€ํ•˜์ฒ  1ํ˜ธ์„ /๊ฐ€์‚ฐ๋””์ง€ํ„ธ๋‹จ์ง€์—ญ (8๋ฒˆ์ถœ๊ตฌ), ์ง€ํ•˜์ฒ  7ํ˜ธ์„ /๊ฐ€์‚ฐ๋””์ง€ํ„ธ๋‹จ์ง€์—ญ (5๋ฒˆ์ถœ๊ตฌ)
  • ์šฐ๋ฆผ๋ผ์ด์˜จ์Šค๋ฐธ๋ฆฌ B๋™ 302ํ˜ธ ๋˜๋Š” ๊ต์œก์žฅ
  • ๋‹น์‚ฌ ๊ฑด๋ฌผ์— ์ฃผ์ฐจํ•  ๊ฒฝ์šฐ ๋ฌด๋ฃŒ ์ฃผ์ฐจ 1์‹œ๊ฐ„๋งŒ ์ง€์›๋˜์˜ค๋‹ˆ, ๊ฐ€๋Šฅํ•˜๋ฉด ๋Œ€์ค‘๊ตํ†ต์„ ์ด์šฉํ•ด ์ฃผ์‹œ๊ธฐ ๋ฐ”๋ž๋‹ˆ๋‹ค.
์˜ค์‹œ๋Š” ๊ธธ

Prediction of Shrinkage Defects During Investment Casting Process

Indianapolis Storm-Water System

ํ•˜์ˆ˜๋„ ์‹œ์Šคํ…œ์€ ์•ก์…˜์˜ํ™”์˜ ๋„ํ”ผ ๋ฃจํŠธ๋กœ ์‚ฌ์šฉ๋˜์ง€ ์•Š๋Š” ํ•œ ํฅ๋ฏธ๋กญ์ง€ ์•Š์„ ๊ฒƒ์ž…๋‹ˆ๋‹ค. ํญ์šฐ๋กœ ์ธํ•ด ์ด์‚ฐํ™”ํƒ„์†Œ ์ˆ˜์น˜๊ฐ€ ์˜ฌ๋ผ๊ฐˆ ๋•Œ๊นŒ์ง€ ์—ฌ๋Ÿฌ๋ถ„์€ ๊ทธ๊ฒƒ์— ๋Œ€ํ•ด ์ƒ๊ฐ์กฐ์ฐจ ํ•˜์ง€ ์•Š์„ ๊ฒƒ์ž…๋‹ˆ๋‹ค. ๋ถˆํ–‰ํ•˜๊ฒŒ๋„, 770๊ฐœ ์ด์ƒ์˜ ์˜ค๋ž˜ ๋œ ๋ฏธ๊ตญ ๋„์‹œ๋“ค ์•„๋ž˜์— ์žˆ๋Š” ํ•˜์ˆ˜๊ตฌ ์‹œ์Šคํ…œ์€ ์‹ฌํ•œ ํญํ’์œผ๋กœ ์˜ค์—ผ ๋ฌธ์ œ๋ฅผ ์ผ์œผํ‚ต๋‹ˆ๋‹ค. ์ด๋Ÿฌํ•œ ๊ตฌํ˜• ์„ค๊ณ„๋Š” ํ•˜์ˆ˜ ๋ฐ ํญํ’ ์œ ์‹ค์„ ์œ„ํ•œ ๋น„์šฉ ํšจ์œจ์ ์ธ ๋‹จ์ผ ์Šคํƒ€์ผ ํŒŒ์ดํ”„๋ฅผ ์‚ฌ์šฉํ–ˆ์œผ๋ฉฐ ์—ฐ๊ฒฐ๋œ ํŒŒ์ดํ”„๋กœ ๊ฐ• ๋ฐ ํ˜ธ์ˆ˜์— ํ•˜์ˆ˜๋ฅผ ๋‚ด๋ณด๋ƒ…๋‹ˆ๋‹ค(CSO).

1994๋…„ ๋ฏธ๊ตญ ํ™˜๊ฒฝ๋ณดํ˜ธ์ฒญ(EPA)์€ ์ฃผ๋กœ ๋ถ๋™๋ถ€ ๋ฐ ๊ทธ๋ ˆ์ดํŠธ ๋ ˆ์ดํฌ ์ง€์—ญ์˜ ๊ด€๋ จ ์ง€๋ฐฉ ์ž์น˜ ๋‹จ์ฒด๋“ค์—๊ฒŒ CSO๊ด€๋ จ ๋ฌธ์ œ๋ฅผ ์ค„์ด๊ฑฐ๋‚˜ ์ œ๊ฑฐํ•˜๋„๋ก ํ•˜๋Š” ์ •์ฑ…์„ ๋ฐœํ‘œํ–ˆ์Šต๋‹ˆ๋‹ค. (2000๋…„ “Clean Water Actโ€์˜ ์ผ๋ถ€๋กœ ๋ฒ•๋ฅ ํ™”๋œ ์ •์ฑ…). ์ธ๋””์• ๋‚˜ ํด๋ฆฌ์Šค(Indianapolis)๋Š” ๊ฐ€๋ฒผ์šด ๋น„ ํญํ’์œผ๋กœ ์ธํ•ด ํ•˜์ˆ˜ ์˜ค๋ฌผ์˜ ๋ฐฑ์—… ๋ฐ ๋ฒ”๋žŒ์ด ๋ฐœ์ƒํ•  ์ˆ˜ ์žˆ๋Š” ๋„์‹œ ์ค‘ ํ•˜๋‚˜์˜€์œผ๋ฏ€๋กœ, ์ฃผ์š” ๊ฑด์„ค ์กฐ๊ฑด์—์„œ 2025๋…„๊นŒ์ง€ ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•˜๋Š” ๊ฒƒ์ด ํ•„์š”ํ•˜์˜€์Šต๋‹ˆ๋‹ค.

์ธ๋””์• ๋‚˜ ํด๋ฆฌ์Šค๋Š” ๊ตญ์ œ ๋””์ž์ธ ํšŒ์‚ฌ์ธ AECOM์— Citizens Energy Group์ด ๊ฑด์„คํ•˜๊ณ  ์žˆ๋Š” 3๊ฐœ์˜ ๊นŠ์€ ์•”์„ ์ €์žฅ ํ„ฐ๋„ ์ค‘ ์ฒซ ๋ฒˆ์งธ๋ฅผ ์„ค๊ณ„ํ•  ๊ฒƒ์„ ์š”์ฒญํ–ˆ์Šต๋‹ˆ๋‹ค. ์ด 25๋งˆ์ผ์ธ ์ด ์‹œ์Šคํ…œ์€ ๋Œ€๊ทœ๋ชจ ์ง€ํ•˜ ํŽŒํ”„์žฅ๊ณผ ๊ธฐ์กด์˜ ํ•˜์ˆ˜๊ตฌ์—์„œ CSO๋ฅผ ์ˆ˜์ง์œผ๋กœ ๋–จ์–ด๋œจ๋ฆฌ๋Š” ์—ฐ๊ฒฐ ๊ตฌ์กฐ๋ฌผ์„ ํฌํ•จํ•ฉ๋‹ˆ๋‹ค. ์ฒซ ๋ฒˆ์งธ ํ„ฐ๋„์˜ ๊ฒฝ์šฐ, ๊ฐ•์šฐ๊ฐ€ ๊ฐ€๋ผ ์•‰์€ ํ›„์— 3 ๊ฐœ์˜ ์ปค๋‹ค๋ž€ ๊ฐ•ํ•˜ ๊ตฌ์กฐ๋ฌผ์ด CSO๋ฅผ ์ €์žฅ ํ„ฐ๋„๋กœ ์ „ํ™˜ํ•˜์—ฌ ํ›„์† ์ฒ˜๋ฆฌ๋ฅผ ์ˆ˜ํ–‰ํ–ˆ์Šต๋‹ˆ๋‹ค.

ํ”„๋กœ์ ํŠธ๋ฅผ ํ•ด๊ฒฐํ•˜๊ธฐ ์œ„ํ•ด AECOM์€ ์—ฌ๋Ÿฌ ๊ฐ€๋Šฅํ•œ ๋‚™ํ•˜ ๊ตฌ์กฐ๋ฌผ ์„ค๊ณ„์˜ ๋™์ž‘์„ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ํ•˜๊ธฐ ์œ„ํ•ด FLOW-3D๋ฅผ ์„ ํƒํ•˜์—ฌ, ๊ตฌ์ถ• ๋ฐ ํ‰๊ฐ€ ์˜ˆ์‚ฐ์ด ์ฑ…์ • ๋œ ๋ฌผ๋ฆฌ์  ๋ชจ๋ธ์— ๋Œ€ํ•œ ์žฌ ์ž‘์—…์˜ ํ•„์š”์„ฑ์„ ์ตœ์†Œํ™”ํ–ˆ์Šต๋‹ˆ๋‹ค. ํ…Œ์ŠคํŠธ ๊ฒฐ๊ณผ๋Š” ์˜ˆ์ธก ๊ฐ’๊ณผ ์ผ์น˜ํ•˜์˜€์œผ๋ฏ€๋กœ ์žฌ์„ค๊ณ„๊ฐ€ ํ•„์š”ํ•˜์ง€ ์•Š์•˜์Šต๋‹ˆ๋‹ค. ๋˜ํ•œ, ์ด์ œ AECOM์€ ์œ ์•• ์„ค๊ณ„์ž‘์—…์˜ ์ฒซ ๋ฒˆ์งธ ๋‹จ๊ณ„๋ฅผ ์ผ๋ฐ˜์ ์œผ๋กœ CFD์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ์‚ฌ์šฉํ•ฉ๋‹ˆ๋‹ค.

Large Scale Project on a Tight Delivery Schedule

์ด‰๋ฐ•ํ•œ ๋‚ฉํ’ˆ ์ผ์ •์— ๋”ฐ๋ฅธ ๋Œ€๊ทœ๋ชจ ํ”„๋กœ์ ํŠธ

20์„ธ๊ธฐ์— ๊ฑด์„ค๋œ ํ•˜์ˆ˜ ์ฒ˜๋ฆฌ์žฅ์€ ์ฃผ๊ฑฐ์šฉ, ์ƒ์—…์šฉ, ํ™˜๊ฒฝ์œ ์ถœ๋ฌผ์˜ ์œ ์ถœ๋กœ ๋ฌด์—‡์„ ํ•ด์•ผ ํ•  ๊ฒƒ์ธ์ง€์— ๋Œ€ํ•œ ์ƒˆ๋กœ์šด ์ธ์‹์„ ๊ฐ€์ ธ๋‹ค ์ฃผ์—ˆ์Šต๋‹ˆ๋‹ค. CSO ๋ฐฉ์ „์€ ์ •์ƒ์ ์œผ๋กœ ์šด์˜๋˜๋Š” ๋™์•ˆ ์ฒ˜๋ฆฌ์‹œ์„ค๋กœ ์ง์ ‘ ์ด๋™๋˜๋ฉฐ ๋ชจ๋“  ๊ณผ์ •์ด ์–‘ํ˜ธํ•˜๊ฒŒ ์šด์˜๋ฉ๋‹ˆ๋‹ค. ๋ถˆํ–‰ํ•˜๊ฒŒ๋„, ๋Œ€๊ทœ๋ชจ ํญํ’์ด ๋ฐœ์ƒํ•˜๋Š” ๋™์•ˆ, ๋ฐœ์ „์†Œ๋“ค์˜ ์ดˆ๊ณผ ์šฉ๋Ÿ‰๋ฌธ์ œ๋ฅผ ํ”ผํ•˜๊ธฐ ์œ„ํ•ด ์ธ๊ทผ ์ˆ˜์—ญ์œผ๋กœ ๊ณผ๋„ํ•œ ์œ ๋Ÿ‰์„ ๋ฐฉ์ถœํ•ฉ๋‹ˆ๋‹ค. ์ด๋“ค ๋ฐฐ์ถœ์€ ๊ธฐ๋ฆ„๊ณผ ์‚ด์ถฉ์ œ, ์•ผ์ƒ๋™๋ฌผ ๋ฐฐ์„ค๋ฌผ์— ์ด๋ฅด๊ธฐ๊นŒ์ง€ ๋‹ค์–‘ํ•œ ์˜ค์—ผ ๋ฌผ์งˆ์„ ํฌํ•จํ•ฉ๋‹ˆ๋‹ค.
๊ณ ๋ฌด์ ์ธ ์„ฑ๊ณต์˜ ์‹ ํ˜ธ๋กœ, 1990 ๋…„๋Œ€์— ์ฐฉ๊ณต๋œ ์ƒˆ๋กœ์šด CSO ๋ถ„๋ฆฌ, ์ €์žฅ ๋ฐ ์ฒ˜๋ฆฌ ์‹œ์„ค๋กœ ์˜ค์—ผ์˜ ์˜ํ–ฅ์— ๋Œ€ํ•ด 67 %์˜ ๊ฐœ์„ ์„ ์ด๋ฃจ์—ˆ์ง€๋งŒ, ์—ฌ์ „ํžˆ ๋งŽ์€ ์—ฐ๊ตฌ๊ฐ€ ์ด๋ฃจ์–ด์ ธ์•ผ ํ•ฉ๋‹ˆ๋‹ค. ์ธ๋””์• ๋‚˜ ํด๋ฆฌ์Šค์˜ ๊ฒฝ์šฐ, ์ธ๋””์• ๋‚˜ ํด๋ฆฌ์Šค์‹œ ๊ณต๊ณต์‚ฌ์—…๋ถ€๊ฐ€ CSO ์žฅ๊ธฐ ํ†ต์ œ๊ณ„ํš์„ ์ค€๋น„ํ•œ 2008๋…„์— ๊ทธ๋Ÿฌํ•œ ๋…ธ๋ ฅ์ด ์‹œ์ž‘๋˜์—ˆ์Šต๋‹ˆ๋‹ค. ์ •์ƒ์ ์ธ ์ฒ˜๋ฆฌ ๊ณต์žฅ์—์„œ ์ฒ˜๋ฆฌ ํ•  ์ˆ˜ ์žˆ์„ ๋•Œ๊นŒ์ง€ ์˜ค๋ฒ„ํ”Œ๋กœ์šฐ๊ฐ€ ๋ฐœ์ƒํ•˜๋Š” “์ €์žฅ ๋ฐ ์šด์†ก”์ ‘๊ทผ๋ฒ•์˜ ํ•ต์‹ฌ์€ ์ธ๋””์• ๋‚˜ ํด๋ฆฌ์Šค ํ„ฐ๋„ ์ €์žฅ ์‹œ์Šคํ…œ ๋˜๋Š” ์ธ๋””์• ๋‚˜๋ผ๊ณ  ํ•ฉ๋‹ˆ๋‹ค.

์ด ์‹œ์Šคํ…œ์˜ ์ฒซ๋ฒˆ์งธ ๋‹จ๊ณ„๋Š” ๋”ฅ ๋ก ํ„ฐ๋„ ์ปค๋„ฅํ„ฐ(DRTC)๋ผ๊ณ  ๋ถˆ๋ฆฌ๋Š” 1์–ต 8์ฒœ๋งŒ๋‹ฌ๋Ÿฌ ๊ฐ€์น˜์˜ ํ”„๋กœ์ ํŠธ์ž…๋‹ˆ๋‹ค. DRTC๋Š” ๊ธธ์ด 7๋งˆ์ผ์˜ 18ํ”ผํŠธ ์ง๊ฒฝ์˜ ์ง€ํ•˜ ํ„ฐ๋„๋กœ, ๊ธฐ์กด์˜ ์ธ๋””์• ๋‚˜ ํด๋ฆฌ์Šค์˜ 3๊ฐœ์˜ ์„œ๋ฒ„ ๋Œ€ ๊ณ„์ธต ์œ ์ถœ ์—ฐ๊ฒฐ์˜ ํ๋ฆ„ ๊ฒฝ๋กœ๋ฅผ ๋‹ค์‹œ ๋งŒ๋“ค ๊ฒƒ์ž…๋‹ˆ๋‹ค(๊ทธ๋ฆผ 1). ๋ชฉํ‘œ๋Š” ๊ณผ์ž‰ ๊ฐ•์šฐ ์œ ์ถœ์„ ๊ธฐ์กด ํ•˜์ˆ˜๊ตฌ์™€ ์ƒˆ ํ„ฐ๋„ ์‚ฌ์ด์˜ ๋‚™ํ•˜ ๊ตฌ์กฐ๋ฅผ ํ†ตํ•ด ์ด๋“ค ๋Œ€ํ”ผ์†Œ์—์„œ ๊ฑฐ๋Œ€ํ•œ ํ„ฐ๋„๋กœ ์•ˆ์ „ํ•˜๊ฒŒ ์žฌ๋ฐฐ์น˜ํ•˜๊ณ , ํญํ’ ํ›„ ์ฒ˜๋ฆฌ๋ฅผ ์œ„ํ•ด ์ฒ˜๋ฆฌ์žฅ์œผ๋กœ ํŽŒํ•‘ ๋  ์ˆ˜์žˆ์„ ๋•Œ๊นŒ์ง€ ์œ ์ง€ํ•ฉ๋‹ˆ๋‹ค.

Fig. 1. City of Indianapolis Deep Rock Tunnel Connector (DRTC), a โ€œstorage and transportโ€ concept being built to handle combined sewage overflow (CSO) during heavy storms. Three vertical drop structures will capture this flow and divert it downwards to 18-foot-diameter storage tunnels running more than 250 feet underground; the tunnels store the CSO until sewage treatment plant capacity becomes available. (Image courtesy Citizens Energy Group)

ํ‰๊ท ์ ์œผ๋กœ ์ง€ํ‘œ๋ฉด ์•„๋ž˜ 250ํ”ผํŠธ ๊นŠ์ด์—์„œ, DRTC๋Š” ๊ฑด์„ค๊ณผ ๊ถ๊ทน์ ์ธ ์šด์˜ ๋™์•ˆ ์œ„์˜ ์ฃผ๋ณ€ ์ง€์—ญ์— ๋Œ€ํ•œ ํ˜ผ๋ž€์„ ์ตœ์†Œํ™”ํ•˜๋„๋ก ์„ค๊ณ„๋˜์—ˆ์Šต๋‹ˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์ด ํ”„๋กœ์ ํŠธ์˜ ๊ทœ๋ชจ์™€ ๋ณต์žก์„ฑ์€ AECOM์˜ ๊ณผ์ œ์— ๊ธด๊ธ‰์„ฑ์„ ๋”ํ–ˆ์Šต๋‹ˆ๋‹ค. ์„ธ ์žฅ์†Œ ๊ฐ๊ฐ์— ๋Œ€ํ•œ ๊ฐ€๋Šฅํ•œ ๋‚™ํ•˜ ๊ตฌ์กฐ ์„ค๊ณ„์™€ ํ‰๊ฐ€, ๊ตฌ์กฐ๋ฌผ ์„ค๊ณ„์˜ 60%๋ฅผ 7๊ฐœ์›” ์ด๋‚ด์— ๋งˆ๋ฌด๋ฆฌ ์ง€์—ˆ์Šต๋‹ˆ๋‹ค.

์ด๋Ÿฌํ•œ ๊ตฌ์กฐ๋ฌผ์˜ ๋ชฉ์ ์€ ํ‘œ์ค€ ๋„์‹œ ํ•˜์ˆ˜ ์‹œ์Šคํ…œ์—์„œ ๊นŠ์€ ์ €์žฅ ํ„ฐ๋„๋กœ ํ•˜์ˆ˜ ํ๋ฆ„์„ ์ „๋‹ฌํ•˜๋Š” ๋™์‹œ์—, ํšจ์œจ์  ์†์‹ค( ๋А๋ฆฐ ์†๋„ ๋˜๋Š” ๋ฐฑ์—…)๊ณผ ์žฅ๊ธฐ์ ์ธ ๋„์‹ฌ์„ ๋ฐฉ์ง€ํ•˜๋Š” ๊ฒƒ์ž…๋‹ˆ๋‹ค. ๊ฐ ์„น์…˜์˜ ํฌ๊ธฐ์™€ ๋ชจ์–‘์ด ์œ ์ž… ํ๋ฆ„์˜ ๋ณผ๋ฅจ ๋ฐ ์†๋„์™€ ์„ธ์‹ฌํ•˜๊ฒŒ ์ผ์น˜ํ•˜์ง€ ์•Š์„ ๊ฒฝ์šฐ ๋ฐœ์ƒํ•  ์ˆ˜ ์žˆ๋Š” ๊ตฌ์กฐ์  ์†์ƒ์ž…๋‹ˆ๋‹ค.
AECOM์˜ ์ˆ˜์„ ๊ธฐ์ˆ  ์ „๋ฌธ๊ฐ€์ธ ๋ผ์ด์–ธ ์—๋””์Šจ ์ปจ์„คํ„ดํŠธ๋Š” ๊ณ„์•ฝ์˜ ์Šค์ผ€์ค„๋ง ์š”๊ตฌ ์‚ฌํ•ญ์ด ์œ ํšจ์„ฑ ๊ฒ€์‚ฌ๋ฅผ ์œ„ํ•ด์„œ๋Š”, ๋‹จ ํ•˜๋‚˜์˜ ๋ชจ๋ธ์—๋งŒ ๋ฌผ๋ฆฌ์  ๊ฑด๋ฌผ๊ณผ ํ…Œ์ŠคํŠธ ํ™œ๋™์„ ์ œํ•œํ•  ๊ฒƒ์ด๋ผ๋Š” ๊ฒƒ์„ ์•Œ๊ฒŒ๋˜์—ˆ์Šต๋‹ˆ๋‹ค. ๋‹ค๋ฅธ ์ฃผ์š” ๊ฑด์„ค ํ”„๋กœ์ ํŠธ์— 15๋…„๊ฐ„ FLOW-3D ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ์†Œํ”„ํŠธ์›จ์–ด๋ฅผ ์‚ฌ์šฉํ•ด ์™”๊ธฐ ๋•Œ๋ฌธ์—, ๋‚œ๋ฅ˜, ๊ณผ์ „์•• ๋ฐ ์—๋„ˆ์ง€ ๋‚ญ๋น„๋ฅผ ์˜ˆ์ธกํ•˜๋Š” ๋Šฅ๋ ฅ์€ ์ถฉ๋ถ„ํ•˜์ง€ ์•Š๊ณ  ๋””์ž์ธ ํ”„๋กœ์ ํŠธ์— ์ ํ•ฉํ•˜๋‹ค๊ณ  ์ž์‹ ํ–ˆ์Šต๋‹ˆ๋‹ค. ๋˜ํ•œ ์—ฌ๋Ÿฌ ๊ฒ€์ฆ(what-if) ์‹œ๋‚˜๋ฆฌ์˜ค๋ฅผ ์‹คํ–‰ํ•˜๊ธฐ ์œ„ํ•œ ์†Œํ”„ํŠธ์›จ์–ด ์˜ต์…˜์„ ํ†ตํ•ด ์„ค๊ณ„ ์„ธ๋ถ€ ์‚ฌํ•ญ์„ ๋‹ค์‹œ ์‹คํ–‰ํ•ด์•ผ ํ•˜๋Š” ์œ„ํ—˜์„ ์ตœ์†Œํ™”ํ•  ์ˆ˜ ์žˆ์—ˆ์Šต๋‹ˆ๋‹ค. ๋ณ€๊ฒฝ ์‚ฌํ•ญ์ด ์ ์šฉ๋  ๊ฒฝ์šฐ ์ƒ๋‹นํ•œ ์ด์ ์€ ์—ฌ๋Ÿฌ๊ฐœ์˜ ๋ณ‘๋ ฌ ์‹œ๊ณต ํŠธ๋ž™์ด ์žˆ๋Š” ํ”„๋กœ์ ํŠธ์— ์žˆ์Šต๋‹ˆ๋‹ค.
์‹œ๊ฐ„ ์ œ์•ฝ์—๋„ ๋ถˆ๊ตฌํ•˜๊ณ , ์—๋””์Šจ์€ ํŠนํžˆ ์ด ๋„์ „์— ๋งŒ์กฑํ–ˆ์Šต๋‹ˆ๋‹ค. ์™œ๋ƒํ•˜๋ฉด โ€œCFD๋กœ ๋“œ๋กญ ๊ตฌ์กฐ ์„ค๊ณ„๋ฅผ ๋งŒ๋“ค๊ณ  ๋ฌผ๋ฆฌํ•™์—์„œ ์ด๊ฒƒ๋“ค์€ ๋„ˆ๋ฌด ํฐ ๊ตฌ์กฐ์ด๊ธฐ ๋•Œ๋ฌธ์ž…๋‹ˆ๋‹ค.”๋ผ๊ณ  ๊ทธ๋Š” ๋งํ•ฉ๋‹ˆ๋‹ค. ๊ทธ๊ฒƒ๋“ค์€ CFD๋Š” ์‹ค์ œ๋กœ ์‚ฌ์šฉ๋˜์ง€ ์•Š๋Š”๋ฐ ๋ณดํ†ต ๋ฌผ๋ฆฌ์  ๋ชจ๋ธ์ด๋‚˜ ์†์œผ๋กœ ๊ณ„์‚ฐํ•˜๋Š” ๊ฒƒ์œผ๋กœ ์ด๋ฃจ์–ด์ง‘๋‹ˆ๋‹ค.

DRTC ํ”„๋กœ์ ํŠธ๋ฅผ ์œ„ํ•ด์„œ, ๊ทธ๋Š” ๋จผ์ € ์‹œ๋ฎฌ๋ ˆ์ด์…˜๋œ ์ž‘๋™ ์กฐ๊ฑด์— ๋Œ€ํ•ด์„œ ์ปดํ“จํ„ฐ ์„ค๊ณ„๋ฅผ ํ…Œ์ŠคํŠธํ•  ๊ฒƒ์ž…๋‹ˆ๋‹ค. ์—๋””์Šจ์€ 3์ฐจ์›์˜ ์ผ์‹œ์ ์ด๊ณ  ๊ฒฉ๋™์ ์ธ ํ๋ฆ„ ์กฐ๊ฑด์„ ๋ชจ๋ธ๋ง ํ•  ์ˆ˜ ์žˆ๋Š” ์†Œํ”„ํŠธ์›จ์–ด ํŒจํ‚ค์ง€์ธ FLOW-3D๋ฅผ ์‚ฌ์šฉํ–ˆ์Šต๋‹ˆ๋‹ค. ๊ฐ ์„ค๊ณ„์— ๋Œ€ํ•œ ๊ณ„์‚ฐ ๋ฉ”์‰ฌ๋ฅผ ๋ณ€๊ฒฝํ•˜์ง€ ์•Š๊ณ ๋„ ์—ฌ๋Ÿฌ ์„ค๊ณ„ ์ง€์˜ค ๋ฉ”ํŠธ๋ฆฌ๋ฅผ ๋ชจ๋ธ๋ง ํ•  ์ˆ˜ ์žˆ๋Š” ๊ธฐ๋Šฅ์ด์˜€์Šต๋‹ˆ๋‹ค.
์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๋ฐ์ดํ„ฐ๋กœ ๋ฌด์žฅํ•œ ์—๋””์Šจ์€ ๊ทธ ๊ฒฐ๊ณผ๋ฅผ ์•„์ด์˜ค์™€ ๋Œ€ํ•™๊ต II. ์‹œ์„ค์—์„œ ์‹œํ—˜ํ•œ 1:10 ํฌ๊ธฐ์˜ ๋ฌผ๋ฆฌ์  ๋ชจ๋ธ์˜ ์ž‘๋™ ๋ฐ์ดํ„ฐ์™€ ๋น„๊ตํ•˜์˜€์Šต๋‹ˆ๋‹ค. (ํ›„์ž๋Š” ์›๋ž˜ ์•„์ด์˜ค์™€ ์œ ์•• ์—ฐ๊ตฌ์†Œ๋ผ๊ณ  ๋ถˆ๋ ธ์ง€๋งŒ, ์ง€๊ธˆ์€ ๊ทธ๋ฃน์˜ ๋‹ค์–‘ํ•œ ๋ฒ”์œ„๋ฅผ ๋ฐ˜์˜ํ•˜์—ฌ IIHR-Hydroscience & Engineering์œผ๋กœ ์•Œ๋ ค์ ธ ์žˆ์Šต๋‹ˆ๋‹ค.)

Zeroing in on the Drop-Structure Challenge

๋“œ๋กญ ๊ตฌ์กฐ ๊ณผ์ œ์—์„œ ์˜์  ์กฐ์ •

๊ฐ€์žฅ ์ œํ•œ์ ์ธ DRTC ์‚ฌ์ดํŠธ์˜ ์ง€์˜ค ๋ฉ”ํŠธ๋ฆฌ๋Š” CSO 008๋กœ ์ง€์ •๋œ ๋ ˆ๊ทค๋ ˆ์ดํ„ฐ์—์„œ ๋ฐœ์ƒํ•ฉ๋‹ˆ๋‹ค. ๊ธฐ์กด CSO ๋ ˆ๊ทค๋ ˆ์ดํ„ฐ(๊ธฐ์šธ๊ธฐ ์•ฝ 75ํ”ผํŠธ ์•„๋ž˜)๋ฅผ ์ƒˆ 18ํ”ผํŠธ ์ง๊ฒฝ์˜ ์ˆ˜์ง‘ ํ„ฐ๋„๊ณผ ์—ฐ๊ฒฐํ•˜๋ ค๋ฉด, ์ด ์œ„์น˜์—์„œ 150ํ”ผํŠธ ์ด์ƒ์˜ ์ˆ˜์ง ๋ฐฉํ–ฅ ์ฃผํ–‰์ด ํ•„์š”ํ•ฉ๋‹ˆ๋‹ค. ๊ฐ ๋‚™ํ•˜ ๊ตฌ์กฐ์— 7๋ฐฑ๋งŒ๋‹ฌ๋Ÿฌ ์ด์ƒ์ด ์†Œ์š”๋˜๋Š” ๊ฒฝ์šฐ, ํ”„๋กœ์ ํŠธ ๊ด€๋ฆฌ์ž๋“ค์€ ๋ฌผ๋ฆฌ์  ๋ชจ๋ธ์ด ๊ตฌ์ถ•๋œ ํ›„ ๋น„์šฉ๊ณผ ์‹œ๊ฐ„์ด ๋งŽ์ด ์†Œ์š”๋˜๋Š” ์žฌ์„ค๊ณ„๊ฐ€ ํ•„์š”ํ•œ ๊ฐ€๋Šฅ์„ฑ์„ ๋‚ฎ์ถ”๋ ค๊ณ  ์• ์ผ์Šต๋‹ˆ๋‹ค.

์—ญ์‚ฌ์ ์œผ๋กœ ๋‚™ํ•˜ ๊ตฌ์กฐ๋Š” ์ด์ „ ํ”„๋กœ์ ํŠธ๋ฅผ ์ ์šฉํ•˜์—ฌ ์„ค๊ณ„๋œ ํ›„ ์ถ•์†Œ ๋ชจ๋ธ๋กœ ๊ตฌ์ถ•๋˜์—ˆ์œผ๋ฉฐ, ํ…Œ์ŠคํŠธ๋งŒ์œผ๋กœ๋„ 6๊ฐœ์›” ์ด์ƒ์ด ์†Œ์š”๋  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ๊ฐ€์†ํ™”๋œ ์ด ํ”„๋กœ์ ํŠธ์—์„œ, 2009๋…„ ๊ฐ€์„์— ์‹œ์ž‘ํ•œ AECOM์˜ ์ดˆ๊ธฐ ๊ณผ์ œ๋Š” ๋‘๊ฐ€์ง€ ํ‘œ์ค€ ๊ฐœ๋… ์ค‘์—์„œ ํ•˜๋‚˜๋ฅผ ์„ ํƒํ•˜๋Š” ๊ฒƒ์ด์—ˆ์Šต๋‹ˆ๋‹ค. ํฌ์žฅ-ํŒŒ์šด๋“œ ์Šคํƒ€์ผ๊ณผ ์ ‘์„  vortex๋ฒ„์ „, ๋‘˜ ๋‹ค ์‹œ์† 35๋งˆ์ผ์˜ ํญํ’์ด ๋ชฐ์•„์น˜๋Š” ๋ฌผ ์†์—์„œ ์†๋„๋ฅผ ๋Šฆ์ถ”๊ณ  ํ†ต์ œํ•˜๊ธฐ ์œ„ํ•ด์„œ ์ง์ ‘ ๊ณ„์‚ฐ ๋ฐ FLOW-3D์—์„œ ๊ฒฐ์ •ํ•œ ์ผ๋ฐ˜ ๊ตฌ์กฐ ์ง๊ฒฝ ๋ฐ ๊ตฌ์„ฑ ์š”์†Œ ํฌ๊ธฐ๋ฅผ ์‚ฌ์šฉํ•œ ์ดˆ๊ธฐ CFD๋ถ„์„์œผ๋กœ, AECOM์€ ์‹œ๊ณต ๊ฐ€๋Šฅ์„ฑ ๋ฐ ๋น„์šฉ ๊ณ ๋ ค ์‚ฌํ•ญ์„ ํ‰๊ฐ€ํ•˜๋Š” ๋ฐ ์‚ฌ์šฉํ–ˆ์Šต๋‹ˆ๋‹ค.
CSO 008์˜ ํ˜„์žฅ ์š”๊ตฌ ์‚ฌํ•ญ๊ณผ ๋น„์šฉ ํšจ์œจ์„ฑ์„ ๊ณ ๋ คํ•  ๋•Œ, ์‹œ ๋‹น๊ตญ๊ณผ AECOM์€ ์ ‘์„  ์†Œ์šฉ๋Œ์ด ๋‚™ํ•˜ ๊ตฌ์กฐ๋ฅผ ์„ ํƒํ–ˆ์Šต๋‹ˆ๋‹ค. ์ด ์„ค๊ณ„์˜ ํ•ต์‹ฌ ์š”์†Œ๋Š” ํ๋ฆ„์„ ๋จผ์ € ํ™˜์ƒ์ ์ธ ์ œํŠธ๋กœ ์œ ๋„ํ•œ ๋‹ค์Œ, vortex ์œ ๋„ ๋‚˜์„ ํ˜• ํ๋ฆ„์„ ์ƒ์„ฑํ•˜๋Š” ํ…Œ์ดํผ(ํ™•๋Œ€) ์ ‘๊ทผ ์ฑ„๋„์— ์˜ํ•ด ๊ณต๊ธ‰๋˜๋Š” ์ˆ˜์ง ํŠœ๋ธŒ(๋“œ๋กญ ์ƒคํ”„ํŠธ)์ž…๋‹ˆ๋‹ค. ์ด ํ†ต์ œ ๋œ ํ•˜๊ฐ•์€ ์†๋„๊ฐ€ ๋А๋ ค์ง€๊ณ  ํ•˜๋ฃจ 3 ์–ต ๊ฐค๋Ÿฐ (mgd) ์ด์ƒ์— ์ด๋ฅด๋Š” ํ๋ฆ„์„ ์•ˆ์ „ํ•˜๊ฒŒ ์ฒ˜๋ฆฌํ•ฉ๋‹ˆ๋‹ค. ์Šคํ† ๋ฆฌ์ง€ ํ„ฐ๋„์˜ ํŒŒ๊ดด์ ์ธ ๋‚œ๋ฅ˜๋ฅผ ๋ฐฉ์ง€ํ•˜๋Š” ๊ฒƒ์ด ํ•ต์‹ฌ ๋ชฉํ‘œ์ด๋ฏ€๋กœ ๋“œ๋กญ ์ƒคํ”„ํŠธ ํ๋ฆ„์˜ ์‚ฌ์ „ ์ฐจ๋‹จ์ด ์„ค๊ณ„์˜ ํ•ต์‹ฌ์ž…๋‹ˆ๋‹ค.

๊ตฌ์กฐ ์ž์ฒด๋Š” 6 ๊ฐœ์˜ ์ฃผ์š” ๋ถ€๋ถ„์œผ๋กœ ๊ตฌ์„ฑ๋ฉ๋‹ˆ๋‹ค. 1) ์ ‘๊ทผ ์ฑ„๋„ (๊ธฐ์กด์˜ ํ•˜์ˆ˜ ํ„ฐ๋„์—์„œ ๋‚˜์˜จ ๊ฒƒ), 2) ์ˆ˜ํ‰ ํ๋ฆ„์„ ๋„“ํžˆ๊ณ  ์ˆ˜์ง ๋“œ๋กญ ์ƒคํ”„ํŠธ๋กœ ์ˆ˜ํ‰ ํ๋ฆ„์„ ์ „๋‹ฌํ•˜๋Š” ์ง์‚ฌ๊ฐํ˜• ์ „์ด ํ…Œ์ดํผ ์ฑ„๋„, 3) ๋“œ๋กญ ์ƒคํ”„ํŠธ ์ž์ฒด 4) ํƒˆ ๊ธฐ์‹ค (์œ ๋Ÿ‰์„ ์ˆ˜ํ‰ ๋ฐฉํ–ฅ์œผ๋กœ ๋ฐฉํ–ฅ์„ ๋ฐ”๊พธ๊ณ  ๊ณต๊ธฐ ์œ ์ž…์„ ๊ฐ์†Œ์‹œํ‚ค๋Š”), 5) ์ˆ˜์ง ๊ณต๊ธฐ ๋ฐฐ์ถœ๊ตฌ๋ฅผ ํ†ตํ•ด ๋‚™ํ•˜์—์„œ ์œ ์ž… ๋œ ๊ณต๊ธฐ๋ฅผ ์ œ๊ฑฐํ•˜๊ณ  ์ ํ•˜ ์œ ์ฒด์˜ ๊ณต๊ธฐ ์ฝ”์–ด๊ฐ€ ์—ด๋ ค ์žˆ๊ณ  6) ํƒˆ๊ธฐ ์ฑ”๋ฒ„์™€ ์ €์žฅ ํ„ฐ๋„ ์ฑ”๋ฒ„๋ฅผ ์—ฐ๊ฒฐํ•˜๋Š” ํŒŒ์ดํ”„ (adit) (๊ทธ๋ฆผ 2).

Fig. 2. CAD diagram of proposed Indianapolis DRTC combined sewage overflow (CSO) vertical drop structure, showing approach channel, taper channel and vortex dropshaft. Using FLOW-3D CFD analysis software, AECOM simulated the flow behavior, gaining confidence in the system performance prior to physical model testing. (Image courtesy AECOM)
Prediction of Shrinkage Defects During Investment Casting Process

This article was contributed by Dr. S. Savithri, Senior Principal Scientist at CSIR-NIIST

 

์ธ๋ฒ ์ŠคํŠธ๋จผํŠธ ์ฃผ์กฐ๊ณต์ •์€ ๊ฐ€์žฅ ์˜ค๋ž˜๋œ ์ฃผ์กฐ ๊ณต์ • ์ค‘ ํ•˜๋‚˜๋กœ ๊ธฐ์›์ „ 4000๋…„ ์ดํ›„์— ๋ณดํŽธํ™”๋˜์—ˆ์Šต๋‹ˆ๋‹ค. ์ด ๊ณผ์ •์€ ์šฉํ•ด๋œ ๊ธˆ์†์„ ์†Œ๋ชจํ’ˆํŒจํ„ด์œผ๋กœ ์ƒ์„ฑ๋œ ์„ธ๋ผ๋ฏน ์‰˜์— ์ฃผ์ž…ํ•˜๋Š” ๊ณผ์ •์„ ์ˆ˜๋ฐ˜ํ•ฉ๋‹ˆ๋‹ค. ์ผ์ฐ์ด ๊ทธ๊ฒƒ์€ ๊ธˆ, ์€, ๊ตฌ๋ฆฌ์™€ ์ฒญ๋™ ํ•ฉ๊ธˆ์œผ๋กœ ์žฅ์‹ ๊ตฌ์™€ ์šฐ์ƒ์„ ๋งŒ๋“œ๋Š”๋ฐ ์‚ฌ์šฉ๋˜์—ˆ์Šต๋‹ˆ๋‹ค.

์ธ๋ฒ ์ŠคํŠธ๋จผํŠธ ์ฃผ์กฐ๊ณต์ •์€ 1897๋…„ ์•„์ด์˜ค์™€ ์ฃผ, ์œ„์›ํšŒ ๋ธ”๋Ÿฌํ”„์Šค์˜ Barabas Frederick Philbrook์ด ๋ฌ˜์‚ฌํ•œ ๋Œ€๋กœ ์น˜๊ณผ์˜์‚ฌ๋“ค์ด ์™•๊ด€๊ณผ ์ธ๋ ˆ์ด๋ฅผ ๋งŒ๋“ค๊ธฐ ์œ„ํ•ด ๊ทธ๊ฒƒ์„ ์‚ฌ์šฉํ•˜๊ธฐ ์‹œ์ž‘ํ•œ 19์„ธ๊ธฐ ๋ง ํ˜„๋Œ€ ์‚ฐ์—…๊ณต์ •์œผ๋กœ ์‚ฌ์šฉ๋˜๊ธฐ ์‹œ์ž‘ํ–ˆ๋‹ค. 1940๋…„๋Œ€์—๋Š” ์ œ2์ฐจ ์„ธ๊ณ„๋Œ€์ „ ๋‹น์‹œ ๊ธฐ์กด ๋ฐฉ๋ฒ•์œผ๋กœ๋Š” ํ˜•์„ฑ๋  ์ˆ˜ ์—†๊ฑฐ๋‚˜ ์ง€๋‚˜์น˜๊ฒŒ ๋งŽ์€ ๊ฐ€๊ณต์ด ํ•„์š”ํ•œ ํŠน์ˆ˜ ํ•ฉ๊ธˆ์˜ ์ •๋ฐ€ ์ˆœ๋ชจํ˜• ์ œ์กฐ ๊ธฐ์ˆ ์— ๋Œ€ํ•œ ์ˆ˜์š”๋กœ ์ธํ•ด ํˆฌ์ž ์ฃผ์กฐ ๊ณต์ •์ด ์ฆ๊ฐ€ํ•˜์˜€๋‹ค.

์˜ค๋Š˜๋‚  ํˆฌ์ž ์ฃผ์กฐ ๊ณต์ •์€ ํ‘œ๋ฉด ๋งˆ๊ฐ ๋ฐ ์น˜์ˆ˜ ์ •ํ™•๋„๊ฐ€ ์šฐ์ˆ˜ํ•˜์—ฌ ๊ฑฐ์˜ ์ˆœ ํ˜•ํƒœ์— ๊ฐ€๊นŒ์šด ์ฒ , ๋น„์ฒ  ๋ฐ ์ดˆํ•ฉ๊ธˆ์˜ ์†Œํ˜• ์‚ฐ์—…์šฉ ๋ถ€ํ’ˆ์„ ์ƒ์‚ฐํ•˜๋Š”๋ฐ ์ฃผ๋กœ ์‚ฌ์šฉ๋ฉ๋‹ˆ๋‹ค.

์ธ๋ฒ ์ŠคํŠธ๋จผํŠธ ์ฃผ์กฐ ๊ณต์ •์€ ๋‹ค์Œ ๋„ค ๊ฐ€์ง€ ์ฃผ์š” ๋‹จ๊ณ„๋กœ ๊ตฌ์„ฑ๋ฉ๋‹ˆ๋‹ค.

  • ์™์Šค ํŒจํ„ด ์ƒ์„ฑ ํ›„, ํŒจํ„ด ํด๋Ÿฌ์Šคํ„ฐ๋ฅผ ๋งŒ๋“ค๊ธฐ ์œ„ํ•ด ๊ฒŒ์ดํŠธ ์‹œ์Šคํ…œ์œผ๋กœ ์ฒญ์†Œ ๋ฐ ์กฐ๋ฆฝํ•ฉ๋‹ˆ๋‹ค.
  • ๋‚˜๋ฌด๋Š” ์„ธ๋ผ๋ฏน ์‰˜์„ ์–ป๊ธฐ ์œ„ํ•ด ๋ฏธ์„ธ ๋ชจ๋ž˜์™€ Courseํ•œ ๋ชจ๋ž˜ ์ž…์ž์˜ ์Šฌ๋Ÿฌ๋ฆฌ๋กœ ๋ฒˆ๊ฐˆ์•„ ์ฝ”ํŒ…๋ฉ๋‹ˆ๋‹ค.
  • ์šฉ๊ธฐ๋Š” ๊ฑด์กฐ๋˜๊ณ , ์™์Šค๋ฅผ ๋…น์ด๊ธฐ ์œ„ํ•ด ๊ฐ€์—ด๋˜๋ฉฐ, ๊ฐ•๋„๋ฅผ ๋†’์ด๊ณ  ์ฃผ์ž… ์ค€๋น„ํ•ฉ๋‹ˆ๋‹ค.
  • ๋งˆ์นจ๋‚ด ์ฃผ์กฐ ํ•ฉ๊ธˆ์ด ์šฉํ•ด๋˜์–ด ์˜ˆ์—ด๋œ ์‰˜์— ์ฃผ์ž…๋ฉ๋‹ˆ๋‹ค. ์‘๊ณ  ํ›„์— ์‰˜์ด ํŒŒ์†๋˜์–ด ์ฃผ์กฐ ๋ถ€ํ’ˆ์„ ์–ป์Šต๋‹ˆ๋‹ค.

Figure 1. Solid model of the casting geometry

์ธ๋ฒ ์ŠคํŠธ๋จผํŠธ ์ฃผ์กฐ ๊ณต์ •์—์„œ ์–ป์€ ๋ถ€ํ’ˆ์€ ๋งŽ์€ ์ค‘์š”ํ•œ ์šฉ๋„์— ์‚ฌ์šฉ๋˜๋ฏ€๋กœ ๋‚ด๋ถ€์ ์ธ ๊ฒฐํ•จ์ด ์—†์–ด์•ผ ํ•ฉ๋‹ˆ๋‹ค. ํˆฌ์ž ์ฃผ์กฐ ๊ณต์ •์—์„œ ๋ฐœ์ƒํ•˜๋Š” ์ฃผ์š” ๊ฒฐํ•จ์€ ์„ธ๋ผ๋ฏน ํฌํ•จ, ๊ท ์—ด, ๋ณ€ํ˜•, ํ”Œ๋ž˜์‹œ, ์ฃผํƒ•๋ถˆ๋Ÿ‰, ์ˆ˜์ถ•, ์Šฌ๋ž˜๊ทธ ํฌํ•จ, ํƒ•๊ฒฝ๊ณ„๋“ฑ์ž…๋‹ˆ๋‹ค. ์–ป์€ ์ฃผ์กฐ๋ฌผ์˜ ํ’ˆ์งˆ์„ ์˜ˆ์ธกํ•˜๋ ค๋ฉด ๊ธˆ์†-๋ชฐ๋“œ ์—ด ์ „๋‹ฌ๊ณ„์ˆ˜, ์ฃผ์ž… ์˜จ๋„ ๋“ฑ ๋‹ค์–‘ํ•œ ์ฃผ์กฐ ๊ณต์ • ๋งค๊ฐœ ๋ณ€์ˆ˜์˜ ์˜ํ–ฅ์„ ์—ฐ๊ตฌํ•ด์•ผ ํ•ฉ๋‹ˆ๋‹ค. ์ฆ‰, ์‰˜ ๋‘๊ป˜ ๋ฐ ์‰˜ ์—ด ์ „๋‹ฌ๊ณ„์ˆ˜๊ฐ€ ๊ทธ๊ฒƒ์ž…๋‹ˆ๋‹ค. ํ˜„๋Œ€ ์ปดํ“จํ„ฐ ์‹œ์Šคํ…œ ๋ฐ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ์†Œํ”„ํŠธ์›จ์–ด์˜ ์ถœํ˜„๊ณผ ํ•จ๊ป˜ ๊ธˆํ˜• ์ถฉ์ง„ ๋ฐ ์‘๊ณ  ์‹œ๋ฎฌ๋ ˆ์ด์…˜์€ ์ฃผ์กฐ๊ณต์žฅ์—์„œ ๊ฒฐํ•จ์„ ์˜ˆ์ธกํ•˜๊ณ  ์„ค๊ณ„๋ฅผ ์ตœ์ ํ™”ํ•˜๋Š”๋ฐ ์ ์  ๋” ๋งŽ์ด ์‚ฌ์šฉ๋˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.

์ด ์—ฐ๊ตฌ์˜ ์ฃผ์š” ๋ชฉ์ ์€ ํˆฌ์ž ์ฃผ์กฐ ๊ณต์ •์—์„œ ์ฃผ์š” ์š”์†Œ์ธ ๋ณต์‚ฌ ์—ด ์ „๋‹ฌ๊ณผ ์ธ๋ฒ ์ŠคํŠธ๋จผํŠธ ์ฃผ์กฐ๊ณต์ •์— ๊ณ ์œ ํ•œ ์‰˜ ๊ธˆํ˜•์ด FLOW-3D์—์„œ ํšจ๊ณผ์ ์œผ๋กœ ๊ตฌํ˜„๋  ์ˆ˜ ์žˆ๋Š”์ง€๋ฅผ ์กฐ์‚ฌํ•˜๋Š” ๊ฒƒ์ž…๋‹ˆ๋‹ค. FLOW-3D๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ๊ฐ„๋‹จํ•œ ํ˜•์ƒ์„ ์œ„ํ•œ ์ธ๋ฒ ์ŠคํŠธ๋จผํŠธ ์ฃผ์กฐ๊ณต์ •์˜ ์ฃผ์ž… ๋ฐ ์‘๊ณ  ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ์ˆ˜ํ–‰ํ•จ์œผ๋กœ์จ ๋‘ ๊ตฌ์„ฑ์š”์†Œ์˜ ์„œ๋กœ ๋‹ค๋ฅธ ํšจ๊ณผ๋ฅผ ์กฐ์‚ฌํ•ฉ๋‹ˆ๋‹ค. ๋‹ค์–‘ํ•œ ์œ„์น˜์—์„œ ์–ป์€ ์˜จ๋„์˜ ์ˆ˜์น˜๋Š” ๋ฌธํ—Œ [1]์—๋ณด๊ณ  ๋œ ์‹คํ—˜ ๊ฒฐ๊ณผ๋กœ ๊ฒ€์ฆ๋ฉ๋‹ˆ๋‹ค. ๋ณต์‚ฌ ์—ด ์ „๋‹ฌ๊ณ„์ˆ˜, ์‰˜ ๋ชฐ๋“œ ๋‘๊ป˜, ํƒ•๊ตฌ ๋ฐ ๊ฒŒ์ดํŠธ์˜ ์œ„์น˜์— ๋Œ€ํ•œ ์˜ํ–ฅ๋„ ์กฐ์‚ฌํ–ˆ์Šต๋‹ˆ๋‹ค.

Figure 2. Shell mold

 

Methodology

ํ˜„์žฌ ์—ฐ๊ตฌ์—์„œ ์‚ฌ์šฉ๋œ ๊ณ„์‚ฐ ํ˜•์ƒ์€ ๊ทธ๋ฆผ 1์— ๋‚˜์™€ ์žˆ์Šต๋‹ˆ๋‹ค. ์‰˜ ๋ชฐ๋“œ๋Š” ๋‹ค์Œ ๋‹จ๊ณ„๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ์ž‘์„ฑ๋˜์—ˆ์Šต๋‹ˆ๋‹ค.

  • ๊ตฌ์„ฑ ์š”์†Œ 1๋กœ ํ˜•์ƒ์„ FLOW-3D๋กœ ๊ฐ€์ ธ์˜ค๊ณ  ์ง€์ •๋œ ์…€ ํฌ๊ธฐ๋กœ ๊ฐ€์ ธ์˜จ ํ˜•์ƒ์„ ์ค‘์‹ฌ์œผ๋กœ ๋ฉ”์‰ฌ ๋ธ”๋ก์„ ์ž‘์„ฑํ•ฉ๋‹ˆ๋‹ค.
  • “๋ณด์™„”์œ ํ˜•์˜ component1์˜ ์ฒซ ๋ฒˆ์งธ ํ•˜์œ„ ๊ตฌ์„ฑ ์š”์†Œ๋ฅผ ๋งŒ๋“ค์–ด ํ•˜์œ„ ๊ตฌ์„ฑ ์š”์†Œ ์™ธ๋ถ€์˜ ๋ชจ๋“  ํ•ญ๋ชฉ์„ ๋ฉ”์‰ฌ์˜ ๋ฒ”์œ„๊นŒ์ง€ ํ™•๊ณ ํ•˜๊ฒŒ ๋งŒ๋“ญ๋‹ˆ๋‹ค.
  • ์†”๋ฆฌ๋“œ ๋ฐ์ดํ„ฐ๋ฒ ์ด์Šค์—์„œ ์ด ์†”๋ฆฌ๋“œ ๋ธ”๋ก์˜ ๊ธˆํ˜• ์žฌ์งˆ ํŠน์„ฑ์„ ์ •์˜ํ•˜์‹ญ์‹œ์˜ค.
  • ์†”๋ฆฌ๋“œ ํŠน์„ฑ GUI์˜ ๊ตฌ์„ฑ ์š”์†Œ ํŠน์„ฑ์—์„œ “์—ด ์นจํˆฌ ๊นŠ์ด”๋ฅผ ์ •์˜ํ•˜๋Š” ์˜ต์…˜์ด ์žˆ์Šต๋‹ˆ๋‹ค. ์—ฌ๊ธฐ์„œ ์‰˜ ๋‘๊ป˜ ๊ฐ’์„ ์ •์˜ ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.
  • ์ด์ œ ์ „์ฒ˜๋ฆฌ๊ธฐ๋ฅผ ์‹คํ–‰ํ•˜์‹ญ์‹œ์˜ค.
  • ๋ถ„์„ ํƒญ> 3D ํƒญ์œผ๋กœ ์ด๋™ ํ•œ ๋‹ค์Œ ์ด์ „ ๋‹จ๊ณ„์—์„œ ์ƒ์„ฑ ํ•œ prpgrf ํŒŒ์ผ์„ ์—ฝ๋‹ˆ๋‹ค. ‘Iso-surface’์™€ ‘color variable’์—์„œ “์—ด ํ™œ์„ฑํ™” ๊ตฌ์„ฑ ์š”์†Œ ๋ณผ๋ฅจ”์„ ์„ ํƒํ•˜๊ณ  “๋ Œ๋”๋ง”์„ ์„ ํƒํ•˜์‹ญ์‹œ์˜ค.
  • Display์— ์ด์ œ ํ˜•์ƒ์˜ ์…ธ ๋ถ€๋ถ„ ๋งŒ ํ‘œ์‹œ๋ฉ๋‹ˆ๋‹ค.
  • ๊ฐœ์ฒด ๋ชฉ๋ก (์ฐฝ์˜ ์™ผ์ชฝ ํ•˜๋‹จ)์—์„œ “๊ตฌ์„ฑ ์š”์†Œ 1″์„ ์„ ํƒํ•˜๊ณ  “๊ตฌ์„ฑ ์š”์†Œ 1″์„ ๋งˆ์šฐ์Šค ์˜ค๋ฅธ์ชฝ ๋‹จ์ถ”๋กœ ํด๋ฆญ ํ•œ ๋‹ค์Œ “stl๋กœ ๋‚ด๋ณด๋‚ด๊ธฐ”๋ฅผ ์„ ํƒํ•˜์—ฌ ์ด ๊ณก๋ฉด์„ STL ํŒŒ์ผ๋กœ ์ €์žฅํ•˜์‹ญ์‹œ์˜ค.

Figure 3. The view of the two mesh blocks for the creation of a void with discretization

์‰˜ ๋ชฐ๋“œ ์šฉ STL ํŒŒ์ผ์„ ๋งŒ๋“  ํ›„ ํŒŒ์ผ์„ ๊ตฌ์„ฑ ์š”์†Œ 1๋กœ ์ƒˆ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์œผ๋กœ ๊ฐ€์ ธ์˜ค๊ณ  ์ด์ „์— ์ž‘์„ฑํ•œ ์ฃผ์กฐ ํ˜•์ƒ์„ ํ•˜์œ„ ๊ตฌ์„ฑ ์š”์†Œ๋กœ ๊ฐ€์ ธ์˜ค๊ณ  ์œ ํ˜•์„ ‘hole’์œผ๋กœ ์„ ํƒํ•ฉ๋‹ˆ๋‹ค. ์‰˜ ๋ชฐ๋“œ์™€ ํ•จ๊ป˜ ์ฃผ์กฐ ํ˜•์ƒ์ด ๊ทธ๋ฆผ 2์— ๋‚˜์™€ ์žˆ์Šต๋‹ˆ๋‹ค. ์ด๊ฒƒ์€ ์šฐ๋ฆฌ์˜ ๊ณ„์‚ฐ ์˜์—ญ์œผ๋กœ ์‚ฌ์šฉ๋ฉ๋‹ˆ๋‹ค. ๋‹ค์Œ์€ ๊ณ„์‚ฐ ์˜์—ญ์„ cubical/rectangular์…€๋กœ ๋ถ„ํ• ํ•˜๊ธฐ ์œ„ํ•œ ๋ฉ”์‰ฌ๋ฅผ ๋งŒ๋“œ๋Š” ๊ฒƒ์ž…๋‹ˆ๋‹ค. ๋ฉ”์‰ฌ ๋ธ”๋ก์„ ์ž‘์„ฑํ•˜์—ฌ FLOW-3D์—์„œ ๋ฉ”์‰ฌ๋ฅผ ์ƒ์„ฑํ•ฉ๋‹ˆ๋‹ค. ํ˜„์žฌ์˜ ์ž‘์—…์„ ์œ„ํ•ด ์šฐ๋ฆฌ๋Š” 2.5mm์˜ ๊ณ ์ •๋œ ์…€ ํฌ๊ธฐ๊ฐ€ ์„ ํƒ๋œ ๊ทธ๋ฆผ 3์— ํ‘œ์‹œ๋œ ๊ท ์ผํ•œ ๋ฉ”์‰ฌ ์˜ต์…˜์„ ์„ ํƒํ–ˆ์Šต๋‹ˆ๋‹ค. ์ž…๋ ฅ ์œ„์น˜ ์ฃผ๋ณ€์— ๋ฉ”์‹œ ๋ธ”๋ก 2๊ฐ€ ์‚ฌ์šฉ๋˜๋Š” ํ˜„์žฌ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ์œ„ํ•ด ๋ฉ”์‹œ ๋ธ”๋ก 2๊ฐœ๊ฐ€ ์ƒ์„ฑ๋˜์—ˆ์Šต๋‹ˆ๋‹ค. ์‰˜๊ณผ ์ฃผ๋ณ€ ๊ณต๊ธฐ ์‚ฌ์ด์˜ 30ยฐC์—์„œ์˜ ์—ด ์ „๋‹ฌ์„ ๊ณ ๋ คํ•˜์—ฌ ์‰˜ ์ฃผ์œ„์— ๋ณด์ด๋“œ ์˜์—ญ์ด ์ •์˜๋ฉ๋‹ˆ๋‹ค. ์ด ์˜์—ญ์€ ‘์—ด ์ „๋‹ฌ ์œ ํ˜• 1’์ด ์žˆ๋Š” ๋ณด์ด๋“œ ์˜์—ญ์œผ๋กœ ์„ ํƒ๋˜๋ฉฐ ์…ธ๊ณผ ์ฃผ๋ณ€ ๊ณต๊ธฐ ์‚ฌ์ด์— ์—ด ์ „๋‹ฌ ๊ณ„์ˆ˜ ๊ฐ’์ด ์ง€์ •๋ฉ๋‹ˆ๋‹ค. ์—ด ์ „๋‹ฌ ์œ ํ˜• 1์€ ๋ฐฉ์‚ฌ์„ ์„ ํฌํ•จํ•œ ์ข…ํ•ฉ ์—ด ์ „๋‹ฌ ๊ณ„์ˆ˜๊ฐ€ ๋ฉ๋‹ˆ๋‹ค.

์‰˜ ์ฃผํ˜•์— ์„ ํƒ๋œ ์žฌ๋ฃŒ๋Š” zircon์ด๋ฉฐ ์—ด ํŠน์„ฑ์€ Sabau and Vishwanathan์— ์˜ํ•ด ์ˆ˜ํ–‰๋œ ์‹คํ—˜์—์„œ ์–ป์„ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค[2]. ํ‘œ 1์€ ์—ฐ๊ตฌ์— ์‚ฌ์šฉ๋œ ์žฌ๋ฃŒ์— ๋Œ€ํ•ด ์ง€์ •๋œ ๊ฐ’์„ ๋ณด์—ฌ ์ค๋‹ˆ๋‹ค.

MATERIALPROPERTY VALUEUNIT
Fluid โ€“AluminiumA356

alloy

Density  2437kg/mยณ
Thermal conductivity116.8W/(mK)
Specific heat 1074J/(kgK)
Latent heat 433.22kJ/mยณ
Liquidus temperature608ยฐC
Solidus temperature552.4ยฐC
Zircon MoldThermal conductivity1.09W/(mK)
Specific heat* Density1.63E+06J/( mยณK)

Initial and boundary conditions used are show in Table 2.      

 

Mold temperature 430ยฐC
Melt pouring temperature 680ยฐC
Filling time 7 s
Interface heat transfer coefficient 850 W/m2K
Heat transfer coefficient between ambient and mold (radiation effect)30 -100 W/m2K

Table 2. Initial and boundary conditions used for the simulation

 

ํƒ•๊ตฌ์ €์— ๋“ค์–ด๊ฐ€๋Š” ์šฉ์œต๋ฌผ์˜ ์ดˆ๊ธฐ ์†๋„์™€ ์˜จ๋„๋Š” ๋ฉ”์‹œ ๋ธ”๋ก 2์˜ ์ƒ๋‹จ ๊ฒฝ๊ณ„์—์„œ ์†๋„ ๊ฒฝ๊ณ„ ์กฐ๊ฑด์œผ๋กœ ์ฃผ์–ด์ง‘๋‹ˆ๋‹ค. ๊ธฐ๋ณธ์ ์œผ๋กœ ๋‹ค๋ฅธ ๋ชจ๋“  ๊ฒฝ๊ณ„๋Š” ๋Œ€์นญ ์œ ํ˜•์œผ๋กœ ์„ค์ •๋ฉ๋‹ˆ๋‹ค.

 

Results & Discussion

Validation with reported experimental results

์ถฉ์ „ ๋ฐ ์‘๊ณ  ๋™์•ˆ ๋ƒ‰๊ฐ ๊ณก์„ ์„ ์–ป๊ธฐ ์œ„ํ•œ ์‹คํ—˜์—์„œ Sabuet.al[1]์— ์˜ํ•ด ์„ ํƒ๋œ ๋„ค ๊ฐœ์˜ ์œ„์น˜๊ฐ€ ๊ฒ€์ฆ ๋ชฉ์ ์œผ๋กœ ์‚ฌ์šฉ๋˜์—ˆ์Šต๋‹ˆ๋‹ค. ๊ทธ๋“ค์€ C1, C2, S11, S12๋ฐ S21๋กœ ์–ธ๊ธ‰๋ฉ๋‹ˆ๋‹ค. C1๊ณผ C2์ง€์ ์€ ์ฃผ๋ฌผ์˜ ํ”Œ๋ ˆ์ดํŠธ์˜ ์ค‘์‹ฌ์— ์žˆ์œผ๋ฉฐ S11, S12๋ฐ S21์€ ๋ชจ๋‘ ์‰˜์— ์œ„์น˜ํ•ฉ๋‹ˆ๋‹ค. ์ด๋Ÿฌํ•œ ์œ„์น˜์—์„œ์˜ ์˜จ๋„ ๋ณ€ํ™”๋Š” ๊ทธ๋ฆผ 4์™€ ๊ฐ™์Šต๋‹ˆ๋‹ค.

์˜จ๋„ ํ”„๋กœํŒŒ์ผ์˜ ์ˆ˜์น˜ ๋ฐ ์‹คํ—˜๊ฒฐ๊ณผ์˜ ์ฐจ์ด๊ฐ€ ํ—ˆ์šฉํ•œ๊ณ„ ์•ˆ์— ์žˆ์Œ์„ ์•Œ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ํ”„๋กœ๋ธŒ ํฌ์ธํŠธ C1๊ณผ C2์˜ ๊ฒฝ์šฐ, ์ˆ˜์น˜์™€ ์‹คํ—˜ ๊ฒฐ๊ณผ ์‚ฌ์ด์˜ ์ฐจ์ด๋Š” ์‘๊ณ  ์ค‘์— 5%, ์‘๊ณ  ํ›„ ๋ƒ‰๊ฐ ์‹œ 12% ์ด๋‚ด์ž…๋‹ˆ๋‹ค. ์‰˜์˜ ์ ์— ๋Œ€ํ•œ ์ˆ˜์น˜ ๊ฒฐ๊ณผ๋Š” ์‹คํ—˜ ๊ฒฐ๊ณผ๋ณด๋‹ค ์•ฝ 5% ๋†’์Šต๋‹ˆ๋‹ค. ์ด๋Š” ์‰˜ ์žฌ๋ฃŒ์— ์—ด ๋ฌผ๋ฆฌํ•™์  ํŠน์„ฑ์„ ํ• ๋‹นํ•  ๋•Œ ๋ฐœ์ƒํ•˜๋Š” ๊ฐ€์ •๊ณผ ์‰˜ ์—ด ์ „๋‹ฌ ๊ณ„์ˆ˜์˜ ๊ฐ’ ๋•Œ๋ฌธ์ผ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

 

Fill sequence & solidification pattern for two different sprue locations

๋‘ ๊ฐ€์ง€ ๋‹ค๋ฅธ ์Šคํ”„ ๋ฃจ ์œ„์น˜์˜ ์ฑ„์šฐ๊ธฐ ์ˆœ์„œ ๋ฐ ์‘๊ณ  ํŒจํ„ด

2 ๊ฐœ์˜ ์ƒ์ดํ•œ ํƒ•๊ตฌ ์œ„์น˜์— ์ฃผ๋ฌผ์ถฉ์ „ ์ˆœ์„œ๋Š”5a ๋ฐ5b์— ๋‚˜์™€ ์žˆ์Šต๋‹ˆ๋‹ค. ์ตœ์ข… ํƒ•๊ตฌ๊ฐ€ ๋” ๋งŽ์€ ์Šคํ”Œ๋ผ์ธ์„ ์ƒ์„ฑํ•˜๋ฏ€๋กœ ๊ฒฐํ•จ์œผ๋กœ ์ด์–ด์งˆ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ํƒ•๊ตฌ๊ฐ€ ์ค‘๊ฐ„์— ๋†“์—ฌ์ง€๋ฉด ํ๋ฆ„์€ ๋ณด๋‹ค ๊ท ์ผ ํ•ด์ง€๊ณ  ๋‘ ์ฃผ์กฐ ๋‹จ๋ฉด์—์„œ ๋น„์Šทํ•œ ์˜จ๋„ ๋ถ„ํฌ๋ฅผ ๋ณด์ž…๋‹ˆ๋‹ค. 50 % ์‘๊ณ  ํ›„์˜ ์˜จ๋„ ํ”„๋กœํŒŒ์ผ์˜ 2D ๋„๋ฉด์€ ๋‘ ๊ฒฝ์šฐ ๋ชจ๋‘ ๊ทธ๋ฆผ 5c ๋ฐ 5d์— ๋‚˜์™€ ์žˆ์Šต๋‹ˆ๋‹ค. ์ˆ˜์ถ• ์œ„์น˜์—์„œ ๋ณผ ๋•Œ ๋‘ ํƒ•๊ตฌ ์œ„์น˜๊ฐ€ ๊ฒฐํ•จ์„ ์ผ์œผํ‚ค๋Š” ๊ฒƒ์€ ๋ถ„๋ช…ํ•ฉ๋‹ˆ๋‹ค.

Figure 5a. Fill sequence at different time intervals when the sprue is located at one end

Figure 5b. Fill sequence at different time intervals when the sprue is located in the middle

Figure 5c. 2D temperature profile after 50% solidification when the sprue is located at one end

Figure 5d. 2D temperature profile after 50% solidification when the sprue is located in the middle

Effect of shell thickness

์ธ๋ฒ ์ŠคํŠธ๋จผํŠธ ์ฃผ์กฐ์— ๋Œ€ํ•œ ์‰˜ ๋‘๊ป˜์˜ ํšจ๊ณผ๋ฅผ ์—ฐ๊ตฌํ•˜๊ธฐ ์œ„ํ•ด ๋‘๊ป˜๊ฐ€ 7.2, 10, 15 ๋ฐ 20 mm์ธ ์ฃผ๋ฌผ์„ ์„ ์ •ํ•˜์˜€์Šต๋‹ˆ๋‹ค. ๊ทธ๋ฆผ 6a ๋ฐ 6b๋Š” ์ฃผ์กฐํ’ˆ์˜ ํŠน์ • ์œ„์น˜์—์„œ ๋ƒ‰๊ฐ ๊ณก์„ ์„ ๋‚˜ํƒ€๋‚ด๋ฉฐ, ์ด๋Š” C1์œผ๋กœ ๋‚˜ํƒ€๋‚ด๊ณ  ์‰˜ ๋ชฐ๋“œ ๋‚ด์˜ ํŠน์ • ์œ„์น˜์— ์žˆ์œผ๋ฉฐ, ์‘๊ณ  ์ค‘์— S11๋กœ ๋‚˜ํƒ€๋‚ฉ๋‹ˆ๋‹ค. ์„ธ๋ผ๋ฏน ์‰˜์˜ ๋‘๊ป˜๊ฐ€ 7.2 mm์—์„œ 15 mm๋กœ ์ฆ๊ฐ€ํ•˜๋ฉด ๋ƒ‰๊ฐ ์†๋„๊ฐ€ ๊ฐ์†Œํ•˜์—ฌ ์‘๊ณ  ์‹œ๊ฐ„์ด ๊ธธ์–ด์ง€๋Š” ๊ฒƒ์„ ๋ณผ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

Effect of shell heat transfer coefficient

์…ธ ์—ด ์ „๋‹ฌ ๊ณ„์ˆ˜๋Š” ์—ด์ด ์…ธ ๊ธˆํ˜•์˜ ์™ธ๋ถ€ ๋ฒฝ์—์„œ ๋ฐฉ์‚ฌ์„ ์„ ํ†ตํ•ด ์ฃผ๋ณ€ ๊ณต๊ธฐ๋กœ ์—ด์„ ๋ฐฉ์ถœํ•˜๋Š” ์†๋„๋ฅผ ๋‚˜ํƒ€๋ƒ…๋‹ˆ๋‹ค. ์ด ํšจ๊ณผ๋ฅผ ์กฐ์‚ฌํ•˜๊ธฐ ์œ„ํ•ด ์—ด ์ „๋‹ฌ ๊ณ„์ˆ˜์˜ ๊ฐ’์„ 20์—์„œ 80W/m2K๊นŒ์ง€ ๋‹ค์–‘ํ•˜๊ฒŒ ํ–ˆ์Šต๋‹ˆ๋‹ค. 7a ๋ฐ 7b๋กœ๋ถ€ํ„ฐ, h์˜ ๋ณ€ํ™”๋Š” ์ฃผ์กฐ ์žฌ๋ฃŒ ๋ฐ ์‰˜์˜ ๋ƒ‰๊ฐ ์†๋„์— ์ค‘์š”ํ•œ ์˜ํ–ฅ์„ ๋ฏธ์นœ๋‹ค๋Š” ๊ฒƒ์„ ์•Œ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์—ด ์ „๋‹ฌ ๊ณ„์ˆ˜๊ฐ€ 20์—์„œ 80W/m2K๋กœ ์ฆ๊ฐ€ํ•˜๋ฉด C1์—์„œ์˜ ์‘๊ณ  ์‹œ๊ฐ„์ด 812 ์ดˆ์—์„œ 334 ์ดˆ (์•ฝ 44 %)๋กœ ๊ฐ์†Œ๋˜์—ˆ์Œ์„ ์•Œ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ๋”ฐ๋ผ์„œ, h์˜ ๊ฐ’์„ ๋ณ€ํ™”์‹œํ‚ค๋Š” ๊ฒƒ์€ ์ฃผ๋ฌผ์˜ ๋ฏธ์„ธ ๊ตฌ์กฐ์— ์˜ํ–ฅ์„ ๋ฏธ์นฉ๋‹ˆ๋‹ค.

Figure 6a. Temperature profile at location C1 (casting) for the casting geometry where the sprue is located at one end for various shell thickness values

 

F

Figure 6b. Temperature profile at location S11 (shell) for the casting geometry where the sprue is located at one end for various shell thickness values

Figure 7a. Temperature profile at location C1 (casting) for the casting geometry where the sprue is located at one end for various heat transfer coefficient values between the shell mold & ambient

Figure 7b. Temperature profile at location S11 (shell) for the casting geometry where the sprue is located at one end for various heat transfer coefficient values between the shell mold & ambient

Conclusions

์ธ๋ฒ ์ŠคํŠธ๋จผํŠธ ์ฃผ์กฐ ๊ณต์ •์˜ ๋ชฐ๋“œ ์ถฉ์ง„ ๋ฐ ์‘๊ณ  ์‹œ๋ฎฌ๋ ˆ์ด์…˜์€ FLOW-3D๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ์ˆ˜ํ–‰๋˜์—ˆ์Šต๋‹ˆ๋‹ค. ์ฃผ์กฐ ๊ณต์ •์— ๋Œ€ํ•œ ์ฃผ์กฐ ๋งค๊ฐœ๋ณ€์ˆ˜์˜ ์˜ํ–ฅ์„ ์—ฐ๊ตฌํ•˜๊ธฐ ์œ„ํ•ด ํŒŒ๋ผ๋ฉ”ํŠธ๋ฆญ ์—ฐ๊ตฌ๊ฐ€ ์ˆ˜ํ–‰๋˜์—ˆ์Šต๋‹ˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ ๋‹ค์Œ๊ณผ ๊ฐ™์€ ๊ฒฐ๋ก ์„ ๋„์ถœ ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

  • FLOW-3D๋Š” ๋ฉ€ํ‹ฐ ์บ๋น„ํ‹ฐ ๋ชฐ๋“œ์˜ ์ฃผ์ž… ๋ฐ ์‘๊ณ  ๋ชจ๋ธ๋ง์ด ๊ฐ€๋Šฅํ•ฉ๋‹ˆ๋‹ค. ํ”„๋กœ๋ธŒ ์œ„์น˜์˜ ์˜ˆ์ธก ์˜จ๋„ ํ”„๋กœํŒŒ์ผ์€ ์‹คํ—˜ ๋ฐ์ดํ„ฐ์˜ ํ—ˆ์šฉ์˜ค์ฐจ ์ด๋‚ด์˜€๋‹ค.
  • ์‰˜ ๋‘๊ป˜์˜ ๊ฒฝ์šฐ, ๋‘ ๊ฒฝ์šฐ ๋ชจ๋‘ ์…ธ์˜ ์ž„๊ณ„ ๋‘๊ป˜๊ฐ€ ์žˆ์œผ๋ฉฐ, ๊ทธ ์ด์ƒ์œผ๋กœ ์—ด ์ „๋‹ฌ ํŠน์„ฑ์ด ์—ญํ–‰ํ•˜๋Š” ๊ฒƒ์œผ๋กœ ํ™•์ธ๋˜์—ˆ์Šต๋‹ˆ๋‹ค. ์…ธ ๋‘๊ป˜๊ฐ€ ์ฆ๊ฐ€ํ•จ์— ๋”ฐ๋ผ ์‘๊ณ  ์‹œ๊ฐ„์ด ์ž„๊ณ„ ๋‘๊ป˜๊นŒ์ง€ ์ฆ๊ฐ€ํ•˜์—ฌ ๊ฐ์†Œํ•˜๊ธฐ ์‹œ์ž‘ํ–ˆ์Šต๋‹ˆ๋‹ค. ์›๋ž˜ ํ˜•์ƒ์˜ ๊ฒฝ์šฐ ์ž„๊ณ„ ๋‘๊ป˜๋Š” 15~20mm์ธ ๋ฐ˜๋ฉด ์ˆ˜์ •๋œ ํ˜•์ƒ์˜ ๊ฒฝ์šฐ 10mm์™€ 15mm ์‚ฌ์ด์— ์žˆ๋‹ค.
  • ์‰˜๊ณผ ๋Œ€๊ธฐ ์‚ฌ์ด์˜ ์—ด ์ „๋‹ฌ ๊ณ„์ˆ˜ h๋Š” ์—ด ์ „๋‹ฌ ํŠน์„ฑ์— ๊ฐ€์žฅ ํฐ ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ์Šต๋‹ˆ๋‹ค. h๊ฐ€ 20์—์„œ 80W/m2K๋กœ 4 ๋ฐฐ ์ฆ๊ฐ€ํ•  ๋•Œ ํƒ•๊ตฌ์˜ ์ค‘์‹ฌ์—์„œ ์‘๊ณ  ์‹œ๊ฐ„์ด 40 % ์ด์ƒ ๊ฐ์†Œํ–ˆ์Šต๋‹ˆ๋‹ค.

References

Sabau, A.S., Numerical Simulation of the Investment Casting Process, Transactions of the American Foundry Society, vol. 113, Paper No. 05-160, 2005.

Sabau, A.S., and Viswanathan, S., Thermophysical Properties of Zircon and Fused Silica-based Shells used in the Investment Casting ProcessTransactions of the American Foundry Society, vol. 112, Paper No. 04-081, 2004.

 
Design and CFD Analysis

์„ค๊ณ„ ๋ฐ CFD๋ถ„์„

์ผ๋ฐ˜์ ์ธ ์†Œ์šฉ๋Œ์ด ์„ค๊ณ„๋Š” ๋„๋ฆฌ ๋ฐ›์•„๋“ค์—ฌ์ง€๊ณ  ์žˆ์ง€๋งŒ, ๊ฐ ๋‚™ํ•˜ ๊ตฌ์กฐ๋Š” ์ตœ์ ์˜ ์ ‘์„  ํ๋ฆ„ ํŠน์„ฑ์„ ๋ณด์žฅํ•˜๊ธฐ ์œ„ํ•ด ์ธ๋””์• ๋‚˜ ํด๋ฆฌ์Šค์˜ ์œ„์ƒ์— ๋งž๋Š” ์ ์ ˆํ•œ ํฌ๊ธฐ๋ฅผ ๊ฐ€์ ธ์•ผ ํ–ˆ์Šต๋‹ˆ๋‹ค. ํŠนํžˆ, ๊ฐ€๋Šฅํ•œ ์„ค๊ณ„์— ๋Œ€ํ•œ AECOM์˜ ๊ณ„ํš์€ ์„ธ๊ฐ€์ง€ ๋ชฉํ‘œ๋ฅผ ๊ฐ€์ง€๊ณ  ์žˆ์—ˆ์Šต๋‹ˆ๋‹ค. ๊ฒฐํ•ฉ๋œ ์ ‘๊ทผ๋ฒ•๊ณผ ํ…Œ์ดํผ ์ฑ„๋„์„ ์งง์€ ๊ธธ์ด๋กœ ์ œํ•œํ•˜๋Š” ํ˜„์žฅ, ๊ณ ์œ ์˜ ์ œ์•ฝ์ด ์žˆ์—ˆ๋Š”์ง€๋ฅผ ๊ฒฐ์ •ํ•ฉ๋‹ˆ๋‹ค. ํ—ˆ์šฉ ๊ฐ€๋Šฅํ•˜์ง€๋งŒ ์ ‘๊ทผ ๋ฐฉ์‹์—์„œ ๊ณผ๋„ํ•œ ๋‚œ๋ฅ˜ ์กฐ๊ฑด์ด ๋ฐœ์ƒํ•˜์ง€ ์•Š์•˜์Šต๋‹ˆ๋‹ค. ํ…Œ์ดํผ ์ฑ„๋„์— ์•ˆ์ •์ ์ธ ํ๋ฆ„ ์กฐ๊ฑด์ด ์กด์žฌํ•˜๋Š”์ง€ ํ™•์ธํ•˜๊ณ  ๋‹ค์–‘ํ•œ ํ๋ฆ„ ์กฐ๊ฑด์—์„œ ํ๋ฆ„ ์•ˆ์ •์„ฑ์„ ํ‰๊ฐ€ํ–ˆ๊ณ , ๋…ผ๋ฆฌ์  ๊ธฐ์ค€์ ์€ ๋ฐ€์›Œํ‚ค ์ธ๋ผ์ธ ์Šคํ† ๋ฆฌ์ง€ ํ”„๋กœ์ ํŠธ๋ผ๊ณ  ๋ถˆ๋ฆฌ๋Š” ์ž˜ ์•Œ๋ ค์ง€๊ณ  ๋ฌธ์„œํ™”๋œ ์‹œ์Šคํ…œ์ด์—ˆ์Šต๋‹ˆ๋‹ค.

Edison์€ DRTC ํ”„๋กœ์ ํŠธ ๊ทœ๋ชจ์— ๋งž์ถฐ H-4๋กœ ์ง€์ •๋œ Milwaukee ๋“œ๋กญ ๊ตฌ์กฐ ์„ค๊ณ„๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ ์ดˆ๊ธฐ ์„ค๊ณ„๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœํ–ˆ์Šต๋‹ˆ๋‹ค.
166 ํ”ผํŠธ์˜ ๊ธฐ๋ณธ ๋‚™ํ•˜ ๊ธธ์ด๋ฅผ ํฌํ•จํ•˜๊ณ  ์ฒด์  ์œ ๋Ÿ‰, ๋ฒฝ, ๋Œ€์นญ ๋ฐ ๊ธฐํƒ€ ์ดˆ๊ธฐ ๋งค๊ฐœ ๋ณ€์ˆ˜๋ฅผ ์ง€์ •ํ•˜๋Š” FLOW-3D ๋ถ„์„์„ ์„ค์ •ํ•ฉ๋‹ˆ๋‹ค.
๊ทธ๋Š” ์šฐ๋ฆฌ๊ฐ€ CFD๋ฅผ ํ†ตํ•ด ๋ฐœ๊ฒฌํ•œ ๊ฒƒ์€ ๋ฐ€์›Œํ‚ค์—์„œ ์ด ๋””์ž์ธ์„ ์‚ฌ์šฉํ•˜๋ฉด ์šฐ๋ฆฌ์˜ ์–ดํ”Œ๋ฆฌ์ผ€์ด์…˜์— ์ž˜ ๋งž์ง€ ์•Š๋Š”๋‹ค๋Š” ๊ฒƒ์ด๋ผ๊ณ  ๋งํ•ฉ๋‹ˆ๋‹ค. FLOW-3D๋Š” ์ด๊ฒƒ์„ ๋ณด์—ฌ ์ฃผ๊ณ  ์žˆ์—ˆ๊ธฐ ๋•Œ๋ฌธ์— CFD๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ๋ณ€ํ˜•์„ ์‹œ๋„ํ•˜๊ณ  ์šฐ๋ฆฌ์˜ ์ˆ˜์ •๋œ ๋””์ž์ธ์„ ๊ณ ์•ˆํ–ˆ์Šต๋‹ˆ๋‹ค.
๋” ๋„“์€ ์ ‘๊ทผ ๊ฒฝ๋กœ, ๋” ๋„“์€ ํ…Œ์ดํผ ๋ฐ/๋˜๋Š” ๋” ๊นŠ์€ ํ…Œ์ดํผ ๊นŠ์ด๋ฅผ ์‚ฌ์šฉํ•œ ์ˆ˜์ •์€ ์—๋””์Šจ์€ FLOW-3D์—์„œ ๊ฐ ๋ณ€๋™ ์‚ฌํ•ญ์„ ์„ค์ •ํ•˜๋Š” ๊ฒƒ์ด ๋งค์šฐ ๋น ๋ฅด๋‹ค๊ณ  ๋งํ•ฉ๋‹ˆ๋‹ค. (๊ทธ๋ฆผ 3,4,5). ๊ฐœ์„ ์˜ ์ง„์ „์€ ๊ณ ๋ฌด์ ์ด์—ˆ์Šต๋‹ˆ๋‹ค. ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฒฐ๊ณผ์˜ ๋†’์€ ์ˆ˜์ค€์€ ์‹ฌ์ง€์–ด ์ ˆ์‚ญ(์นจ์‹)์„ ๊ฐœ์„ ํ•˜๊ธฐ ์œ„ํ•ด ๋“œ๋กญ ์ถ•์˜ ๋ฐ”๋‹ฅ์— ์˜๋ฌธ์Šค๋Ÿฌ์šด ํ”Œ๋ ˆ์ดํŠธ๊ฐ€ ์ˆ˜์ง ํ๋ฆ„์ด ์ˆ˜ํ‰์œผ๋กœ ์ „ํ™˜๋˜๋Š” ๋‚œ๋ฅ˜ ๋ถ„๋ฆฌ ๋ฐ ๊ฐ์†Œ๊ฐ€๋˜๋„๋ก ๊ธฐ๋Šฅ์„ ์ถ”๊ฐ€ํ•˜๋„๋ก ์„ค๋“ํ–ˆ์Šต๋‹ˆ๋‹ค.

Figs. 3, 4 and 5. Tangential drop structure flow simulated with FLOW-3D. Structure dimensions were optimized through multiple design iterations. (Image courtesy AECOM)

9๋ฒˆ์งธ ์„ค๊ณ„ ๋ณ€๋™์— ๋Œ€ํ•œ FLOW-3D ์ถœ๋ ฅ ๋™์ž‘์ธ V9๋Š” ์ ‘๊ทผ ์„น์…˜์„ ํ™•์žฅํ–ˆ์œผ๋ฉฐ, ๋ชจ๋“  ํ๋ฆ„ ๋ณผ๋ฅจ ๋ ˆ๋ฒจ์—์„œ 300mg/d๊นŒ์ง€ ์–‘ํ˜ธํ•œ ํ๋ฆ„ ์•ˆ์ •์„ฑ์„ ๋ณด์˜€์œผ๋ฉฐ ์œ ์••์‹ ์ ํ”„๋Š” ์—†์—ˆ์Šต๋‹ˆ๋‹ค. ๊ทธ๋ฆฌ๊ณ  ์–‘ํ˜ธํ•œ Froude numners(์œ ์ฒด ์›€์ง์ž„์— ๋ฏธ์น˜๋Š” ์ค‘๋ ฅ์˜ ์˜ํ–ฅ์„ ๋‚˜ํƒ€๋‚ด๊ธฐ ์œ„ํ•ด ์‚ฌ์šฉ๋˜๋Š” ์น˜์ˆ˜ ์—†๋Š” ์ˆ˜๋Ÿ‰), 2010๋…„ 2์›”๋ถ€ํ„ฐ AECOM์ด ๋ฌผ๋ฆฌ์  ์‹œํ—˜๊ณผ ๊ฒ€์ฆ์„ ์œ„ํ•ด ์„ ํƒํ•˜์˜€์Šต๋‹ˆ๋‹ค(๊ทธ๋ฆผ 6). ๊ทธ ๊ณ„ํš์€ ์•„์ด์˜ค์™€ ์—ฐ๊ตฌ์†Œ์˜ ์‹œํ—˜ ๊ฒฐ๊ณผ์— ๊ธฐ์ดˆํ•˜์—ฌ CFD์™€ ์ตœ์ ํ™”๋ฅผ ์ถ”๊ฐ€ํ•˜๋Š” ๊ฒƒ์ด์˜€์Šต๋‹ˆ๋‹ค.

Fig. 6. Scale model (1:10) of vertical drop structure, tested at University of Iowa IIHR Hydroscience & Engineering facility. (Image courtesy AECOM)

์—๋””์Šจ์€ V9์—์„œ ๊ฒฐ์ •๋œ ์น˜์ˆ˜ ๋งค๊ฐœ ๋ณ€์ˆ˜์— ๋Œ€ํ•ด ๊ทธ ๋””์ž์ธ์„ ์•„์ด์˜ค์™€ ์ฃผ์— ๊ฐ€์ ธ๊ฐ€์„œ CFD๋ฅผ ์ด์šฉํ•ด ๋งŒ๋“ค์—ˆ๋Š”๋ฐ ์™„๋ฒฝํ•˜๊ฒŒ ์ž‘๋™ํ–ˆ์Šต๋‹ˆ๋‹ค. (II.)์ง์›๋“ค์€ ์‹ค์ œ๋กœ ๋ฌด์–ธ๊ฐ€๋ฅผ ์„ค์น˜ํ•œ ๊ฒƒ์€ ์ด๋ฒˆ์ด ์ฒ˜์Œ์ด๋ฉฐ, ๋ณ€๊ฒฝํ•˜๋ผ๊ณ  ๋งํ•  ๋งŒํ•œ ๊ฒƒ์ด ์•„๋ฌด๊ฒƒ๋„ ์—†๋‹ค๊ณ  ๋งํ–ˆ์Šต๋‹ˆ๋‹ค. ์ธก์ •๋œ ๋ฐ์ดํ„ฐ๋Š” ๋“œ๋กญ ์ƒคํ”„ํŠธ ์—ฐ๊ฒฐ ๊ตฌ์กฐ ๋‚ด์˜ ์ˆ˜๋ฉด ๋†’์ด, Adit๋‚ด ๊ณต๊ธฐ ์นจํˆฌ์˜ ์ •๋Ÿ‰, ๋ฒคํŠธ ์ƒคํ”„ํŠธ ์œ„๋กœ ๊ณต๊ธฐ ํ๋ฆ„์„ ํฌํ•จํ–ˆ์Šต๋‹ˆ๋‹ค. ํ๋ฆ„์ด ์ฆ๊ฐ€ํ•จ์— ๋”ฐ๋ผ ์™€๋ฅ˜๋Ÿ‰์ด ์ฆ๊ฐ€ํ•จ์— ๋”ฐ๋ผ ์ถ• ๋ฒฝ์— ๋ถ€์ฐฉ๋˜์–ด ํƒˆ์‚ฐ์†Œ๊นŒ์ง€ ์›ํ™œํ•˜๊ฒŒ ํšŒ์ „ํ•˜๋Š” ๋ชจ์Šต์ด ํฌ์ฐฉ๋˜์—ˆ์Šต๋‹ˆ๋‹ค(๊ทธ๋ฆผ 7).

์—๋””์Šจ์€ ํ›„์† ์‹คํ—˜์„ ์œ„ํ•ด ์—ฌ๋Ÿฌ๋ฒˆ ์‹œํ—˜์žฅ์„ ๋Œ์•„๋‹ค๋…”์Šต๋‹ˆ๋‹ค. ๋ฌผ๋ฆฌ์  ๋ชจ๋ธ์ด ์ฒ˜์Œ๋ถ€ํ„ฐ ์˜ฌ๋ฐ”๋ฅด๊ฒŒ ์ž‘๋™ํ–ˆ๊ธฐ ๋•Œ๋ฌธ์— ์‹œํ—˜ ํ”„๋กœ๊ทธ๋žจ์„ ํ™•์žฅํ•  ์‹œ๊ฐ„์ด ์žˆ์—ˆ์Šต๋‹ˆ๋‹ค. “์žฌ๋ฏธ ์žˆ๋Š” ๊ฒƒ์€ ํ™˜๊ธฐ๊ตฌ๋ฅผ ์›€์ง์ด๋Š” ๊ฒƒ๊ณผ ๊ฐ™์ด ์šฐ๋ฆฌ๊ฐ€ ๊ถ๊ธˆํ–ˆ๋˜ ๊ฒƒ๋“ค์„ ํƒ๊ตฌํ•ด์„œ ์ง€์ ์œผ๋กœ ๊ทธ๊ฒƒ์„ ๊ฐ€์ง€๊ณ  ๋†€ ์‹œ๊ฐ„์ด ์žˆ์—ˆ๋‹ค๋Š” ๊ฒƒ์ž…๋‹ˆ๋‹ค.” ์—๋””์Šจ์€ ์˜ˆ์ •๋ณด๋‹ค ์•ž์„œ ์žˆ์—ˆ๊ธฐ ๋•Œ๋ฌธ์— ์ž”์—ฌ ํ”„๋กœ์ ํŠธ ์‹œ๊ฐ„์„ ์ด์šฉํ•ด ํƒˆ์—ผ์†Œ์™€ adit ๋‚ด์˜ ์œ ์•• ์žฅ์น˜๋ฅผ ์กฐ์‚ฌํ•  ์ˆ˜ ์žˆ์—ˆ์Šต๋‹ˆ๋‹ค.

Fig. 7. Operation of scale-model vertical drop structure, showing test run of 300 million gallons per day (mgd). Flow vortex development shows good rotation and attachment to the shaft wall all the way down to the de-aeration chamber. No design modifications were necessary to the simulated design. (Image courtesy AECOM)

Final Results

AECOM์€ 2010๋…„ 7์›” DRTC์— ๋Œ€ํ•œ ์ „๋ฐ˜์ ์ธ ์ž‘์—…์„ ๋งˆ์ณค์Šต๋‹ˆ๋‹ค. 2013๋…„ 3์›”๋ถ€ํ„ฐ 18๊ตฌ๊ฒฝ ํ„ฐ๋„์„ ๊ตด์ฐฉํ•˜๊ธฐ ์‹œ์ž‘ํ–ˆ๊ณ , CSO๋“œ๋กญ ๊ตฌ์กฐ 3๊ฐœ(CFD๋กœ ์„ค๊ณ„๋œ ๋‚˜๋จธ์ง€ 2๊ฐœ์˜ ๊ตฌ์กฐ๋ฌผ๋งŒ ์žˆ์Œ)๋Š” ๋ชจ๋‘ ํ˜„์žฌ ๊ณต์‚ฌ ์ค‘์ž…๋‹ˆ๋‹ค.

์—๋””์Šจ์˜ ์˜๊ฒฌ์œผ๋กœ๋Š”, ํ† ๋ชฉ ๊ณตํ•™์€ ์ „์ฒด์ ์œผ๋กœ CFD๋ฅผ ์ฑ„ํƒํ•˜๋Š” ๋ฐ ๋А๋ฆฐ ํŽธ์ด์—ˆ์Šต๋‹ˆ๋‹ค. ์ด๋ฅผ ์ž…์ฆํ•˜๊ธฐ ์œ„ํ•ด ๊ทธ๋Š” ์ธ์ฒœ ๊ตญ์ œ ๊ณตํ•ญ์„ ์ฒ˜์Œ ๋ฐฉ๋ฌธํ•œ ๋‹น์‹œ ์ ‘์„  ์†Œ์šฉ๋Œ์ด ๋ชจํ˜•์˜ ์†Œ์œ„ “๋ฌ˜์ง€”์—์„œ ๋ณธ๊ฒƒ์„ ๊ธฐ์ˆ ํ–ˆ์Šต๋‹ˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ๊ทธ๋Š” ์ด๋“ค์„ ๋‹ค์‹œ ์ฒ˜๋ฆฌํ•ด์•ผ ํ–ˆ๋‹ค๊ณ  ๋งํ–ˆ์Šต๋‹ˆ๋‹ค.  ๊ทธ๋Š” ์œ ์•• ์„ค๊ณ„๋ฅผ ์œ„ํ•œ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ์‚ฌ์šฉ์œผ๋กœ ํŒ๋งค๋˜๋Š” ๊ฒƒ์„ ๊ถŒ์žฅํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.

์—๋””์Šจ์€ DRTC๋…ธ๋ ฅ์„ ์š”์•ฝํ•˜๋ฉด์„œ “์ •๋ง ์žฌ๋ฏธ ์žˆ์—ˆ์Šต๋‹ˆ๋‹ค. ๋ฌผ๋ฆฌ์  ๋ชจ๋ธ๋ง์ด ํ•„์š”ํ•œ ์œ„์น˜์— ๋Œ€ํ•ด ๋” ์ž์„ธํžˆ ์•Œ์•„๋ณด์•˜๊ณ , ๊ทธ๋ ‡๋‹ค๋ฉด ์–ด๋–ค ๊ฒฝ์šฐ์—๋Š” ์ˆœ์ˆ˜ํ•œ RAID๊ธฐ๋ฐ˜ ์„ค๊ณ„๋ฅผ ์ˆ˜ํ–‰ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ๋งŽ์€ DRTC์ž‘์—…๋“ค์ด ๊ทธ๊ฒƒ์˜ ์ฆ๊ฑฐ์ž…๋‹ˆ๋‹ค. ๋ฌผ๋ฆฌ์  ๋ชจ๋ธ์€ ์‹ค์ œ๋กœ ํ•„์š”ํ•˜์ง€ ์•Š์•˜์ง€๋งŒ ๊ฒ€์ฆ์„ ํ†ตํ•ด ์œ„ํ—˜์„ ์ค„์ผ ์ˆ˜ ์žˆ์—ˆ์Šต๋‹ˆ๋‹ค. ํ”„๋กœ์ ํŠธ์—์„œ ์ด ๋‘๊ฐ€์ง€๋ฅผ ๋ชจ๋‘ ์ˆ˜ํ–‰ํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค๋Š” ๊ฒƒ์€ ๋ฏฟ์„ ์ˆ˜ ์—†๋Š” ์ผ์ž…๋‹ˆ๋‹ค.”๋ผ๊ณ  ๋งํ–ˆ์Šต๋‹ˆ๋‹ค.

This article first appeared in WaterWorld Magazine.

Detecting Porosity with the Core Gas Model

Detecting Porosity with the Core Gas Model

Producing High Quality Castings

 

Results options such as core gas flux, binder weight fraction and out-gassing rate can be analyzed using the core gas model

์ฃผ์กฐ๊ณต์žฅ์˜ ์ฒซ ๋ฒˆ์งธ ์‹œํ—˜์—์„œ ์ฃผ์กฐ ํ’ˆ์งˆ์„ ๋ณด์žฅํ•˜๊ธฐ ์œ„ํ•ด ๋งŽ์€ ์„ ํ–‰ ์—”์ง€๋‹ˆ์–ด๋ง์„ ์ˆ˜ํ–‰ํ•ด์•ผ ํ•ฉ๋‹ˆ๋‹ค. ์ตœ๊ทผ์—๋Š” ๊ธˆ์† ํ๋ฆ„, ์‘๊ณ , ๋ฏธ์„ธ ๊ตฌ์กฐ ์ง„ํ™” ๋ฐ ์ž”๋ฅ˜ ์‘๋ ฅ์„ ๋ชจ๋ธ๋งํ•˜๊ธฐ ์œ„ํ•œ ์ˆ˜์น˜ ๋„๊ตฌ๊ฐ€ ๋ณดํŽธํ™”๋˜์—ˆ์Šต๋‹ˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์•„์ง ์™„์ „ํžˆ ๋‹ค๋ฃจ์–ด์ง€์ง€ ์•Š์€ ์ฃผ์กฐ ๊ฒฐํ•จ ์ค‘ ํ•˜๋‚˜๋Š” ์ผ๋ฐ˜์ ์ธ ์ฝ”์–ด ๊ฐ€์Šค ๋ถˆ๋Ÿ‰ ๊ฒฐํ•จ์ž…๋‹ˆ๋‹ค. ์ด ๋ฌธ์ œ์˜ ๋ฌผ๋ฆฌํ•™์€ ๊ธˆ์†, ์ฝ”์–ด ๋ฐ ๋ฐ”์ธ๋” ์‚ฌ์ด์˜ ๋ณต์žกํ•œ ์ƒํ˜ธ ์ž‘์šฉ์„ ํฌํ•จํ•ฉ๋‹ˆ๋‹ค. ์ด๋ฅผ ํ•ด๊ฒฐํ•˜์ง€ ์•Š์œผ๋ฉด ๊ณ ์ฒ  ์ˆ˜์ค€์ด ๋†’์•„์งˆ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ๋Œ€๋ถ€๋ถ„์˜ ๋ฌธ์ œ๋Š” ๊ณ ์˜จ์˜ ์ฃผ์ž… ์˜จ๋„๋ฅผ ์‚ฌ์šฉํ•˜๊ณ  ์˜ํ–ฅ์„ ๋ฐ›๋Š” ์˜์—ญ์— ๋ฒฝ์ฒด๋ฅผ ์ถ”๊ฐ€ํ•˜์—ฌ ๋ฌธ์ œ๋ฅผ ๊ด€๋ฆฌํ•˜์ง€๋งŒ ์™„์ „ํžˆ ํ•ด๊ฒฐํ•  ์ˆ˜๋Š” ์—†์Šต๋‹ˆ๋‹ค.

Designing the Optimum Break-Down

๊ณผ๊ฑฐ์—๋Š” ์žฌ๋ฃŒ ๋ฐ ์ฃผ์กฐ ์—”์ง€๋‹ˆ์–ด๊ฐ€ ์ฝ”์–ด ๊ฐ€์Šค ๋ฒ„๋ธ”๋กœ ์ธํ•ด ๋‹ค๊ณต์„ฑ ๊ฒฐํ•จ ๋ฌธ์ œ๋ฅผ ๋ฐœ๊ฒฌํ–ˆ์„ ๊ฒฝ์šฐ ๋ฐ”์ธ๋” ํ•จ๋Ÿ‰์„ ์ค„์ด๊ฑฐ๋‚˜ ์ฝ”์–ด ํ™˜๊ธฐ๋Ÿ‰์„ ๋Š˜๋ฆฌ๊ฑฐ๋‚˜ ์ฝ”์–ด ํ™˜๊ธฐ ์‹œ๊ฐ„์„ ๋Š˜๋ฆฌ๊ฑฐ๋‚˜ ์ฝ”์–ด๋ฅผ ๋ฏธ๋ฆฌ ๊ตฝ๊ฑฐ๋‚˜ ํ•˜๋Š” ๋“ฑ ์ผ๋ จ์˜ ํ‘œ์ค€ ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•  ์ˆ˜ ์žˆ์—ˆ์Šต๋‹ˆ๋‹ค. ๊ฐ€์Šค๊ฐ€ ๋”ฐ๋ผ๊ฐ€๋Š” ๊ฒฝ๋กœ๋ฅผ ๋ณด๋Š” ๊ฒƒ์€ ๋ถˆ๊ฐ€๋Šฅํ–ˆ๊ธฐ ๋•Œ๋ฌธ์— ์ด๊ฒƒ์€ ํ•œ ๋ถ€๋ถ„์„ ์™„์„ฑํ•˜๋Š” ๋ฐ ์ˆ˜์ฃผ๊ฐ€ ๊ฑธ๋ฆฌ๋Š” ๊ธด ์ธ์ถœ ๊ณผ์ •์ด์—ˆ์Šต๋‹ˆ๋‹ค. ๊ทธ๋ฆฌ๊ณ  ๋‹ค๋ฅธ ๋ถ€๋ถ„์— ๋ฌธ์ œ๊ฐ€ ์žˆ์„ ๋•Œ๋งˆ๋‹ค ๋ฐ˜๋ณตํ•ด์•ผ ํ–ˆ์Šต๋‹ˆ๋‹ค.

์ด ๊ฐ€๊ณต ์ผ์ •์„ ๋‹จ์ถ•ํ•ด์•ผ ํ•˜๋Š” ์‹œ์žฅ ์ค‘์‹ฌ์˜ ํ•„์š”์„ฑ ๋•Œ๋ฌธ์— ์ฃผ์กฐ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ์†Œํ”„ํŠธ์›จ์–ด๊ฐ€ ๊ฐœ๋ฐœ๋˜์—ˆ์Šต๋‹ˆ๋‹ค. ์„ค๊ณ„ ๋ฐ ์ œ์กฐ์— ๋ชจ๋‘ ์œ ์šฉํ•œ ์ปดํ“จํ„ฐ ๊ธฐ๋ฐ˜ ๋ชจ๋ธ๋ง์„ ํ†ตํ•ด ์—”์ง€๋‹ˆ์–ด๋Š” ์‹ค์ œ ๋น„์šฉ์„ ๋‚ญ๋น„ ์—†์ด ๋‹ค์–‘ํ•œ ์ ‘๊ทผ ๋ฐฉ์‹์„ ํ…Œ์ŠคํŠธ ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์ฃผ์กฐ ๊ณต์žฅ์ด ํ™˜๊ธฐ ์„ค๊ณ„์— ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ์ ์šฉ ํ•  ์ˆ˜ ์žˆ๋„๋ก Flow Science๋Š” ์ฃผ์กฐ ํ•ด์„ ๊ธฐ๋Šฅ์— ํ•ต์‹ฌ ๊ฐ€์Šค ๋ชจ๋ธ์„ ์ถ”๊ฐ€ํ–ˆ์Šต๋‹ˆ๋‹ค.

GM engine block water jacket, showing binder weight fraction

Applying CFD Methods to Core Gas Flow

์ˆ˜์ง€ ๊ธฐ๋ฐ˜ ๋ฐ”์ธ๋”์˜ ํ™”ํ•™์  ๋ณต์žก์„ฑ์œผ๋กœ ์ธํ•ด ์ƒŒ๋“œ ์ฝ”์–ด ์—ด ์ฐจ๋‹จ ํ›„ ๊ฐ€์Šค๊ฐ€ ์–ด๋””์„œ ์–ด๋–ป๊ฒŒ ํ๋ฅด๋Š” ์ง€ ์ดํ•ดํ•˜๋Š” ๊ฒƒ์€ ๋ณต์žกํ•ฉ๋‹ˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ Flow Science๋Š” ์—ฌ๋Ÿฌ ๊ทธ๋ฃน๊ณผ ํ˜‘๋ ฅํ•˜์—ฌ ์‹คํ—˜ ๋ฐ์ดํ„ฐ๋ฅผ ์–ป๊ณ  ์ด๋ฅผ ์ˆ˜์น˜ ๋ชจ๋ธ์˜ ๊ฒฐ๊ณผ์™€ ๋น„๊ตํ•ฉ๋‹ˆ๋‹ค. ์ด ํšŒ์‚ฌ๋Š” General Motors, Graham-White Manufacturing ๋ฐ AlchemCast์˜ ํ•ต์‹ฌ ๊ฐ€์Šค ์œ ๋Ÿ‰ ์ •๋ณด๋ฅผ ์ˆ˜์ง‘ํ•˜์—ฌ ์•Œ๋ฃจ๋ฏธ๋Š„, ์ฒ  ๋ฐ ๊ฐ•์ฒ ๊ณผ ํ•จ๊ป˜ ์‚ฌ์šฉ๋˜๋Š” ๋ชจ๋ž˜ ์ˆ˜์ง€ ์ฝ”์–ด์— ๋Œ€ํ•œ ์‹ค์ œ ๋ฐ์ดํ„ฐ๋ฅผ ์–ป์—ˆ์Šต๋‹ˆ๋‹ค.

GM Powertrain์˜ ์บ์ŠคํŒ… ๋ถ„์„ ์—”์ง€๋‹ˆ์–ด ์ธ David Goettsch ๋ฐ•์‚ฌ๋Š” ๊ธˆ์† ์ฃผ์กฐ๋ฌผ์˜ ์ถฉ์ง„ ๋ฐ ์‘๊ณ  ๋ถ„์„์„ ์œ„ํ•ด 15 ๋…„ ๋™์•ˆ FLOW-3D๋ฅผ ์‚ฌ์šฉํ–ˆ์Šต๋‹ˆ๋‹ค. ์ƒˆ๋กœ์šด ์ฝ”์–ด ๊ฐ€์Šค ๋ชจ๋ธ์€ ์„ค๊ณ„ ๋‹จ๊ณ„์—์„œ ์ž์ผ“ ์ฝ”์–ด ๋ฐฐ์ถœ์„ ์ตœ์ ํ™”ํ•˜๋Š” ๋ฐ ๋งค์šฐ ์œ ์šฉํ•ฉ๋‹ˆ๋‹ค. ๋ชจ๋“  ์š”๊ตฌ ์‚ฌํ•ญ์ด ํ•ต์‹ฌ ์ธํ™”๋ฌผ์— ์žˆ๋Š” ์ฝ”์–ด ๋ฐ•์Šค์— vent tracks๋ฅผ ๊ตฌํ˜„ํ•˜๊ธฐ๋Š” ๋งค์šฐ ์–ด๋ ต์Šต๋‹ˆ๋‹ค. ย “ํ•ต์‹ฌ ๊ฐ€์Šค ๋ฐฐ์ถœ์— ๋Œ€ํ•œ ์„ ํ–‰ ๋ถ„์„ ์ž‘์—…์„ ํ†ตํ•ด ์‹œ๋™ ์‹œ ๋†’์€ ์Šคํฌ๋žฉ๋ฅ ๋กœ ๋ถ€ํ„ฐ ๋ฒ—์–ด๋‚  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.”๋ผ๊ณ  ๊ทธ๋Š” ์„ค๋ช…ํ•ฉ๋‹ˆ๋‹ค. “์•„๋งˆ๋„ ํ”„๋กœ์„ธ์Šค ๋ณ€๊ฒฝ์œผ๋กœ ๋ฌธ์ œ๊ฐ€ ํ•ด๊ฒฐ ๋  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ๊ทธ ์‹œ์ ์— ๋„๋‹ฌํ•˜๋ ค๋ฉด ์˜ค๋žœ ํ…Œ์ŠคํŠธ ๊ธฐ๊ฐ„์ด ํ•„์š”ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. “

ํ˜„์žฌ FLOW-3D์—์„œ ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ๋Š” ์ฝ”์–ด ๊ฐ€์Šค ๋ชจ๋ธ์„ ํ†ตํ•ด Goettsch๋Š” ๋‹ค์–‘ํ•œ ์‚ฝ์ž… ๋ฐ ๋ฐฐ์ถœ ์œ„์น˜๋ฅผ ์‹œ๋„ํ•˜๊ณ  ๊ธ€๋กœ๋ฒŒ ์ง„๋‹จ์„ ๋ฐ›์„ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ๊ฐ€์Šค๊ฐ€ ์–ผ๋งˆ๋‚˜ ๋งŽ์ด ๋ฐœ์ƒํ•˜๋Š”์ง€, ์–ด๋””๋กœ ๊ฐ€๋Š”์ง€, ๊ธˆ์† ํ”„๋ŸฐํŠธ๊ฐ€ ๋”ฐ๋ผ ์žก๊ธฐ ์ „์— ์–ผ๋งˆ๋งŒํผ ๋น ์ ธ ๋‚˜์˜ค๋Š”์ง€ ํ™•์ธํ•˜์‹ญ์‹œ์˜ค.

Multi-Core Challenges

Core prints for casting with internal geometries

GM Powertrain jacket slab assembly

๋˜ ๋‹ค๋ฅธ ๋…ธ๋ จํ•œ ์ฃผ์กฐ๊ณต์žฅ ์—”์ง€๋‹ˆ์–ด์ธ Graham-White Manufacturing Co.์˜ Elizabeth Ryder๋Š” ๊ฐ€์Šค ๋‹ค๊ณต์„ฑ์€ ํ•ญ์ƒ ์กฐ์‚ฌํ•˜๊ธฐ๊ฐ€ ์–ด๋ ค์› ๋‹ค๊ณ  ์ฃผ์žฅํ–ˆ๋‹ค. ๊ทธ๋…€๋Š” “ํŠนํžˆ ๋‹ค์ค‘ ์ฝ”์–ด์˜ ๊ฒฝ์šฐ, ์–ด๋–ค ์ฝ”์–ด๊ฐ€ ๋ฌธ์ œ์˜ ์›์ธ์ธ์ง€ ์ •ํ™•ํ•˜๊ฒŒ ์ฐพ์•„ ๋‚ด๊ธฐ๊ฐ€ ์–ด๋ ค์› ์œผ๋ฉฐ ์ „์ฒด์ ์ธ ์‹œ์Šคํ…œ์„ ์ฒ˜๋ฆฌ ํ•˜๋ ค๊ณ  ํ–ˆ์Šต๋‹ˆ๋‹ค. “

1700๊ฐœ์˜ ๋ถ€ํ’ˆ์œผ๋กœ ๊ตฌ์„ฑ๋œ ์ง€์†์ ์ธ ์ƒ์‚ฐ์œผ๋กœ, ๊ทธ ์ค‘ ์ผ๋ถ€๋Š” ์—ฐ๊ฐ„ 10,000๊ฐœ์˜ ๋ถ€ํ’ˆ์œผ๋กœ ๊ตฌ์„ฑ๋˜์—ˆ์œผ๋ฉฐ, Graham-White๋Š” ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ํ†ตํ•ด ์ œ์กฐ ๊ณต์ •์„ ๊ฐœ์„ ํ•˜๋Š” ๋ฐ ๋งค์šฐ ์ต์ˆ™ํ–ˆ์Šต๋‹ˆ๋‹ค.

Graham-White๋Š” ๋ ˆ์ด์ € ์Šค์บ๋‹์œผ๋กœ ์ œ์ž‘ํ•œ ํšŒ์ฃผ์ฒ  ๋ถ€ํ’ˆ(์•ฝ 3 x 4in)์˜ 3D ๋ชจ๋ธ๋กœ ์ž‘์—…ํ•˜๋ฉด์„œ ํ‰๊ฐ€๋ฅผ ์œ„ํ•ด ํ˜„์žฌ vent ๋””์ž์ธ์„ ์ œ๊ณตํ–ˆ์Šต๋‹ˆ๋‹ค. ์ด ํƒ•๊ตฌ ๋””์ž์ธ์€ ์ˆ˜ํ‰์œผ๋กœ ๋ถ„ํ• ๋œ ๊ธˆํ˜•์—์„œ ํŒจํ„ด ํ”Œ๋ ˆ์ดํŠธ๋‹น 4๊ฐœ์˜ ์ธ์ƒ์ด ํฌํ•จ๋˜์—ˆ์œผ๋ฉฐ, ๊ฐ ์ธ์ƒ์€ ๊ฐ ์ฝ”์–ด์— ๋Œ€ํ•œ vent๊ฐ€ ์žˆ์Šต๋‹ˆ๋‹ค. ์ค‘์•™ sprue๋Š” 2 ์ดˆ ์ด๋‚ด์— ๊ฐ๊ฐ์˜ ๋ชฐ๋“œ๋ฅผ ์ถฉ์ง„ํ•  ์ˆ˜ ์žˆ๊ฒŒ ํ•ด์ฃผ์—ˆ์Šต๋‹ˆ๋‹ค.

FLOW-3D๋ฅผ ์ด์šฉํ•œ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์€ ์ฃผ์ž…๋ฅ ์„ ํ™•์ธ์‹œ์ผœ ์ฃผ์—ˆ์ง€๋งŒ, ๋˜ํ•œ ํ•œ ์ฝ”์–ด์˜ ๋ฐฐ์ถœ๋Ÿ‰์ด ์ถฉ๋ถ„ํ•˜์ง€ ์•Š๋‹ค๋Š” ๊ฒƒ์„ ๋ณด์—ฌ์ฃผ์—ˆ๋‹ค. Graham-White๋Š” ๊ธฐ์กด ๋ถ„์ถœ๊ตฌ๋ฅผ ํ†ตํ•ด ๊ฐ€์Šค๋ฅผ ๋” ๋งŽ์ด ๊ณต๊ธ‰ํ•  ์ˆ˜ ์žˆ๋„๋ก ์ฝ”์–ด์— ๊นŠ์€ ๊ตฌ๋ฉ์„ ๋šซ๊ธฐ ์‹œ์ž‘ํ–ˆ์Šต๋‹ˆ๋‹ค. ์ƒˆ๋กœ์šด vent ๋””์ž์ธ์œผ๋กœ ์ „ํ™˜ํ•œ ์ดํ›„, ํšŒ์‚ฌ๋Š” ์ฝ”์–ด ๋ธ”๋กœ์šฐ ์Šคํฌ๋žฉ์„ ์•ฝ 30% ๊ฐ์†Œ ์‹œ์ผฐ์Šต๋‹ˆ๋‹ค.

Ryder๋Š” FLOW-3D ๊ฒฐ๊ณผ๊ฐ€ ๋””์ž์ธ ์ดˆ์ ์„ ๊ฒฐ์ •ํ•˜๋Š”๋ฐ ๋„์›€์„ ์ฃผ์—ˆ๊ณ , ์–ด๋–ค ์ฝ”์–ด (๋ฉ€ํ‹ฐ ์ฝ”์–ด ๋””์ž์ธ)๊ฐ€ ๋ฌธ์ œ์˜€๋Š”์ง€, ์ฝ”์–ด์˜ ์–ด๋А ๋ถ€๋ถ„์ด ๋ฌธ์ œ์˜ ๊ทผ์›์ธ์ง€์— ๋Œ€ํ•ด ํŒŒ์•…ํ•  ์ˆ˜ ์žˆ์—ˆ์Šต๋‹ˆ๋‹ค.

Learn more about the versatility and power ofย modeling metal casting processes withย FLOW-3Dย Cast>

FLOW-3D World Users Conference 2023

Home

What's New in FLOW-3D 2025R1
What's New in FLOW-3D 2025R1
New discrete element method (DEM) model
What's New in FLOW-3D HYDRO 2025R1
What's New in FLOW-3D HYDRO 2025R1
New discrete element method (DEM) model
What's New in FLOW-3D CAST 2025R1
What's New in FLOW-3D POST 2025R1
Pathtracing improvements, History data calculator, EXODUS file format improvements
FLOW-3D WELD
FLOW-3D WELD
New unified user interface, New process templates, Improved Reflection model,...
What's New in FLOW-3D CAST 2025R1
What's New in FLOW-3D CAST 2025R1
better quality, efficiency and precision in complex non-ferrous castings, Improved valve model
FLOW-3D AM
FLOW-3D AM
Improved reflection model, Improved heat source integration, Particle-particle interactions...

๐Ÿ“ฃ FLOW-3D ๊ณต์‹ LinkedIn ์ฑ„๋„ OPEN!

๋ณต์žกํ•œ ์œ ๋™ ํ˜„์ƒ์„ ์ •๋ฐ€ํ•˜๊ฒŒ ํ•ด์„ํ•˜๋Š” CFD ์†Œํ”„ํŠธ์›จ์–ด,
FLOW-3D์˜ ๊ณต์‹ ์ฑ„๋„์ด ๋“œ๋””์–ด ์˜คํ”ˆํ–ˆ์Šต๋‹ˆ๋‹ค!

์ด๊ณณ์—์„œ ์•ž์œผ๋กœ
๐Ÿ”น ์‚ฐ์—…๋ณ„ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ์‚ฌ๋ก€
๐Ÿ”น ์‹ค๋ฌด ์ค‘์‹ฌ์˜ ํ•ด์„ ํŒ
๐Ÿ”น ์›จ๋น„๋‚˜ ๋ฐ ๊ต์œก ์†Œ์‹
๋“ฑ ๋‹ค์–‘ํ•œ ์ฝ˜ํ…์ธ ๋ฅผ ๊ณต์œ ๋“œ๋ฆด ์˜ˆ์ •์ž…๋‹ˆ๋‹ค.

๐Ÿ’ก FLOW-3D๊ฐ€ ์‹ค์ œ ํ˜„์žฅ์—์„œ ์–ด๋–ป๊ฒŒ ํ™œ์šฉ๋˜๊ณ  ์žˆ๋Š”์ง€ ๊ถ๊ธˆํ•˜์‹ ๊ฐ€์š”?
๐Ÿ’ฌ ์ตœ์‹  ์œ ์ฒดํ•ด์„ ํŠธ๋ Œ๋“œ์™€ ์ •๋ณด๋ฅผ ๋ฐ›๊ณ  ์‹ถ์œผ์‹ ๊ฐ€์š”?

๐Ÿ‘‰ ์ง€๊ธˆ ๋ฐ”๋กœ ํŒ”๋กœ์šฐํ•˜์‹œ๊ณ ,
์‹ค์ œ ์„ค๊ณ„์— ๋„์›€์ด ๋˜๋Š” ์ธ์‚ฌ์ดํŠธ๋ฅผ ๋ฐ›์•„๋ณด์„ธ์š”!

[Linkedin ๋ฐฉ๋ฌธ ๋งํฌ]


FLOW-3D WELD/AM ์›จ๋น„๋‚˜

FLOW-3D WELD/AM

FLOW-3D WELD/AM ์›จ๋น„๋‚˜๋ฅผ 2025.09.26. (๊ธˆ) 15:00~16:00์— ์ง„ํ–‰ํ•˜์˜€์Šต๋‹ˆ๋‹ค.

์ฐธ์„์— ๊ฐ์‚ฌ๋“œ๋ฆฝ๋‹ˆ๋‹ค.


๋Œ€ํ•œ๊ธฐ๊ณ„ํ•™ํšŒ ์ฐฝ๋ฆฝ 80์ฃผ๋…„ ๊ธฐ๋… ํ•™์ˆ ๋Œ€ํšŒ ์ฐธ๊ฐ€

2025๋…„ 12์›” 10์ผ(์ˆ˜) ~ 13์ผ(ํ† ), ํ•˜์ด์› ๊ทธ๋žœ๋“œํ˜ธํ…” ์ปจ๋ฒค์…˜ํƒ€์›Œ์—์„œ ๊ฐœ์ตœํ•˜๋Š” ๋Œ€ํ•œ๊ธฐ๊ณ„ํ•™ํšŒ ์ฐฝ๋ฆฝ 80์ฃผ๋…„ ๊ธฐ๋… ํ•™์ˆ ๋Œ€ํšŒ์— ์ฐธ๊ฐ€ํ•˜์˜€์Šต๋‹ˆ๋‹ค.
๋งŽ์€ ๊ด€์‹ฌ ๊ฐ์‚ฌ๋“œ๋ฆฝ๋‹ˆ๋‹ค.


FLOW-3D European Users Conference๊ฐ€ 2026๋…„ 6์›” 15์ผ๋ถ€ํ„ฐ 17์ผ๊นŒ์ง€ ์‚ฌํ˜๊ฐ„ ๋…์ผ ๋’ค์…€๋„๋ฅดํ”„์˜ย Steigenberger Icon Parkhotelย ์—์„œ ๊ฐœ์ตœ๋  ์˜ˆ์ •์ž…๋‹ˆ๋‹ค.
์ž์„ธํ•œ ์•ˆ๋‚ด๋Š” ์ƒ์„ธ ํŽ˜์ด์ง€์—์„œ ์•Œ๋ ค๋“œ๋ฆฝ๋‹ˆ๋‹ค.
๋งŽ์€ ์ฐธ์„ ๋ถ€ํƒ๋“œ๋ฆฝ๋‹ˆ๋‹ค.


FLOW-3D HYDRO Workshops

FLOW-3D HYDRO Workshops
Register for a FLOW-3D HYDRO workshop

Civil & Environmental Consultants, Inc.

Knoxville, TN

Host a FLOW-3D HYDRO Local Workshop 


CUSTOMER ์ถ”์ฒœ ํ‰๊ฐ€

FLOW-3D๋Š”ย ์˜ค๋Š˜๋‚  ๋ณต์žกํ•œ ์ž์œ  ํ‘œ๋ฉด ๋ฐ ์ œํ•œ๋œ ํ๋ฆ„ ๋ฌธ์ œ๋ฅผ ๋ถ„์„ํ•˜๋Š” ๋ฐ ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ๋Š” ๊ฐ€์žฅ ๊ฐ•๋ ฅํ•œ ๋„๊ตฌ ์ค‘ ํ•˜๋‚˜์ž…๋‹ˆ๋‹ค.ย ์‚ฌ์šฉํ•˜๊ธฐ ์‰ฌ์šด ๋ชจ๋ธ๋ง ์ธํ„ฐํŽ˜์ด์Šค๋ฅผ ์ œ๊ณตํ•˜๋ฉฐ ์ง€๋‚œ 15๋…„ ์ด์ƒ ์ œ๊ฐ€ ์ž‘์—…ํ•œ ์ˆ˜๋ ฅ ๋ฐœ์ „, ํ™˜๊ฒฝ, ์ˆ˜์ž์› ๋ฐ ์ฒ˜๋ฆฌ ๊ด€๋ จ ํ”„๋กœ์ ํŠธ์˜ ์„ค๊ณ„์— ํ•„์ˆ˜์ ์ธ ๋„๊ตฌ์˜€์Šต๋‹ˆ๋‹ค.ย Flow Science์˜ ๊ธฐ์ˆ  ์ง€์› ํŒ€๊ณผ ๊ฐœ๋ฐœ์ž๋Š” ํ•จ๊ป˜ ์ž‘์—…ํ•˜๊ธฐ ์‰ฝ๊ณ , ์กฐ์–ธ์„ ์ œ๊ณตํ•˜๊ณ , ์ฝ”๋“œ์˜ ์ž ์žฌ์  ๊ฐœ์„  ์‚ฌํ•ญ์— ๋Œ€ํ•œ ์‚ฌ์šฉ์ž์˜ ์˜๊ฒฌ์„ ๋“ฃ๊ณ , ๋ฐœ์ƒํ•˜๋Š” ๋ฌธ์ œ๋ฅผ ์‹ ์†ํ•˜๊ฒŒ ํ•ด๊ฒฐํ•˜๊ณ ์ž ํ•ฉ๋‹ˆ๋‹ค.ย Flow Science์˜ ์ „์ฒด ํŒ€์€ ํ•จ๊ป˜ ์ผํ•˜๊ธฐ์— ํ›Œ๋ฅญํ–ˆ๊ณ  ๋ชจ๋“  ์—”์ง€๋‹ˆ์–ด์—๊ฒŒ ํ›Œ๋ฅญํ•œ ์ž์›์ž…๋‹ˆ๋‹ค.

FLOW-3Dย is one of the most powerful tools available to analyze complex free surface and confined flow problems out there today. It provides an easy-to-use modeling interface and has been an integral tool in the design of hydroelectric, environmental, water resource and treatment related projects Iโ€™ve worked on over the last 15+ years. Flow Scienceโ€™s technical support team and developers are easy to work with and are eager to provide advice, hear input from its users on potential enhancements to the code as well as quickly resolving issues that arise. The entire team at Flow Science have been great to work with and are a great resource to all engineers.
FLOW-3Dย CAST๋Š”ย ์šฐ๋ฆฌ์˜ ํ’ˆ์งˆ ํ”„๋กœ๊ทธ๋žจ์— ์—„์ฒญ๋‚œ ์ž์‚ฐ์ด์—ˆ์Šต๋‹ˆ๋‹ค.ย 6๊ฐ€์ง€ ์ฃผ์กฐ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ์†Œํ”„ํŠธ์›จ์–ด๋ฅผ ํ‰๊ฐ€ํ•œ ํ›„ Howell Foundry๋Š” FLOW-3Dย CAST๋ฅผย ๊ตฌ๋งคํ•˜๊ธฐ๋กœ ๊ฒฐ์ •ํ–ˆ์Šต๋‹ˆ๋‹ค.ย ์ด ๊ฒฐ์ •์˜ ์ผ๋ถ€ ์š”์ธ์—๋Š” ์„ค์ • ๋‹ค์–‘์„ฑ, ๋น„์šฉ ๋ฐ ๊ฐ€์žฅ ์ค‘์š”ํ•œ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์˜ ํ˜„์‹ค ์ •ํ™•๋„๊ฐ€ ํฌํ•จ๋ฉ๋‹ˆ๋‹ค.ย ์—…๋ฐ์ดํŠธ๋œ ๊ฒฐ๊ณผ ๋ทฐ์–ด์™€ ๊ฒฐํ•ฉ๋œ FLOW-3Dย CASTย ์˜ ๊ฐ•๋ ฅํ•œ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ธฐ๋Šฅ์€ ๊ฐ€์žฅ ๋ณต์žกํ•œ ์ž‘์—…์—์„œ ํŠนํžˆ ์ฒซ ๋ฒˆ์งธ ํƒ€์„ค์—์„œ ๊ณ ํ’ˆ์งˆ ์ฃผ์กฐ๋ฅผ ๋ณด์žฅํ•˜๋Š” ๋ฐ ๋„์›€์ด ๋˜์—ˆ์Šต๋‹ˆ๋‹ค.

FLOW-3Dย CASTย has been a tremendous asset to our quality program. After having evaluated six different casting simulation software, Howell Foundry made the decision to purchaseย FLOW-3Dย CAST. Some of the factors in this decision include its setup versatility, cost, and most importantly its accuracy of the simulation to reality.ย FLOW-3Dย CASTโ€™s powerful simulation ability coupled with its updated results viewer has been especially helpful on our most complex jobs to make sure we have a quality casting on the first pour.
์šฐ๋ฆฌ๋Š”ย FLOW-3D๋ฅผย ์‚ฌ์šฉํ•˜์—ฌ ์ง€๋‚œ 20๋…„ ๋™์•ˆ ๋งŽ์€ ์†Œ๋ชจ์„ฑ ๋ฐœ์‚ฌ์ฒด ์‹œ์Šคํ…œ์— ๋Œ€ํ•œ ์ถ”์ง„์ œ ์Šฌ๋กœ์‹œ ๋ฐ ํ’€์Šค๋ฃจ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ๊ฐœ๋ฐœํ–ˆ์Šต๋‹ˆ๋‹ค.ย ๋ณด๋‹ค ์ตœ๊ทผ์—๋Š” Flow Science ์ง€์› ์ง์›์ด ์ฐจ๋Ÿ‰ ๊ธฐ๋™์œผ๋กœ ์ธํ•œ ullage collapse effects๋ฅผ ํฌ์ฐฉํ•˜๊ธฐ ์œ„ํ•ด ๊ทน์ €์˜จ ์ถ”์ง„์ œ ํƒฑํฌ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์— ์—ด ์ „๋‹ฌ์„ ์ถ”๊ฐ€ํ•˜๋Š” ๋ฐ ์ค‘์š”ํ•œ ์—ญํ• ์„ ํ–ˆ์Šต๋‹ˆ๋‹ค.

We have usedย FLOW-3Dย to develop propellant slosh and pull-through simulations for a number of expendable launch vehicle systems over the last 20 years. More recently, the Flow Science support staff has been instrumental in helping us add heat transfer to cryogenic propellant tank simulations in order to capture ullage collapse effects due to vehicle maneuvers.
์ €๋Š” ์—ฐ๊ตฌ ๋ฐ ์‚ฐ์—… ์‘์šฉ ๋ถ„์•ผ์—์„œ ์œ ์ฒด ํ๋ฆ„ ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•˜๋Š” ๋ฐ 15๋…„ ์ด์ƒย FLOW-3D๋ฅผย ์‚ฌ์šฉํ•ด ์™”์Šต๋‹ˆ๋‹ค .ย ์šฐ๋ฆฌ๋Š” ๊ฐ• ๋ฐ ํ•ด์•ˆ ๊ตฌ์กฐ๋ฌผ, ์ˆ˜์ฒ˜๋ฆฌ ์žฅ์น˜, ๋Œ, ์—ฌ์ˆ˜๋กœ, ๊นŠ์€ ํ„ฐ๋„ ๋ฐ CSO ์ „ํ™˜ ๊ตฌ์กฐ๋ฌผ์˜ ์„ค๊ณ„์— ์ด ์†Œํ”„ํŠธ์›จ์–ด๋ฅผ ๊ด‘๋ฒ”์œ„ํ•˜๊ฒŒ ์‚ฌ์šฉํ•ฉ๋‹ˆ๋‹ค.ย FLOW-3D๋Š”ย ์ˆ˜์น˜ ์†”๋ฒ„ ๊ธฐ์ˆ , ํด๋ผ์šฐ๋“œ ์ปดํ“จํŒ…, ์ „์ฒ˜๋ฆฌ ๋ฐ ํ›„์ฒ˜๋ฆฌ ๋„๊ตฌ์˜ ์ตœ์‹  ๊ธฐ์ˆ ์„ ํ†ตํ•ฉํ•˜์—ฌ ๊ณ ๊ฐ์—๊ฒŒ ์ƒ๋‹นํ•œ ์‹œ๊ฐ„๊ณผ ๋น„์šฉ์„ ์ ˆ๊ฐํ•ฉ๋‹ˆ๋‹ค.ย FLOW-3Dย ์˜์—… ๋ฐ ๊ธฐ์ˆ  ์ง€์› ํŒ€์€ ํ›Œ๋ฅญํ•ฉ๋‹ˆ๋‹ค!

I have usedย FLOW-3Dย for over 15 years solving fluid flow problems in research and industrial applications. We use the software extensively in the design of river and coastal structures, water treatment units, dams, spillways, deep tunnels, and CSO diversion structures.ย FLOW-3Dย integrates state of the art in numerical solver techniques, cloud computing, pre- and post-processing tools resulting in substantial time and cost savings to our clients.ย FLOW-3Dย sales and technical support teams are excellent!
FLOW-3Dย ๋Š” ๋‹ค๋ฅธ ์†Œํ”„ํŠธ์›จ์–ด๋กœ ์‹œ๊ฐํ™”ํ•˜๊ฑฐ๋‚˜ ์ •๋Ÿ‰ํ™”ํ•˜๊ธฐ ์–ด๋ ค์šด ๋ณต์žกํ•œ ์œ ์•• ๋ฌธ์ œ์— ๋Œ€ํ•œ ํ†ต์ฐฐ๋ ฅ์„ ์ œ๊ณตํ•˜๋Š” ์ •๊ตํ•œ ๋„๊ตฌ์ž…๋‹ˆ๋‹ค.ย ์ •๊ตํ•จ์—๋„ ๋ถˆ๊ตฌํ•˜๊ณ  ์†Œํ”„ํŠธ์›จ์–ด๋Š” ๋งค์šฐ ์‚ฌ์šฉ์ž ์นœํ™”์ ์ด๋ฉฐ Flow Science๋Š” ํ›Œ๋ฅญํ•œ ๋ฌธ์„œ์™€ ๊ธฐ์ˆ  ์ง€์›์„ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค.ย FLOW-3Dย ๋ชจ๋ธ ์—์„œ ์–ป์€ ๊ฒฐ๊ณผ๋Š”๊ณ ๊ฐ๊ณผ ์‚ฌ๋‚ด ๋น„๋ชจ๋ธ๋Ÿฌ ๋ชจ๋‘์—๊ฒŒ ๊นŠ์€ ์ธ์ƒ์„ ๋‚จ๊ฒผ์Šต๋‹ˆ๋‹ค.
ย 
FLOW-3Dย is a sophisticated tool that provides insight into complex hydraulic problems that would be difficult to visualize or quantify with other software. Despite the sophistication, the software is very user friendly, and Flow Science provide great documentation and technical support. The results we have obtained from ourย FLOW-3Dย models have impressed both our clients and non-modelers in-house.
4C-Technologies์—์„œ ์šฐ๋ฆฌ๋Š” ๊ฑฐ์˜ 35๋…„ ๋™์•ˆ ๋‹ค์–‘ํ•œ ์†Œํ”„ํŠธ์›จ์–ด ํ๋ฆ„ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ์†”๋ฃจ์…˜์„ ์‚ฌ์šฉํ•˜๋Š” ์„ ๊ตฌ์ž์˜€์Šต๋‹ˆ๋‹ค.ย ๋‹ค์–‘ํ•œ ๊ธˆ์† ํ•ฉ๊ธˆ์œผ๋กœ ์ฃผ์กฐ๋œ HPDC ๋ถ€ํ’ˆ์—์„œ ๋ถ€ํ’ˆ ์„ค๊ณ„ ๋ฐ ๋„๊ตฌ/๋Ÿฌ๋„ˆ ์„ค๊ณ„๋ฅผ ์ตœ์ ํ™”ํ•ฉ๋‹ˆ๋‹ค.ย 2008๋…„๋ถ€ํ„ฐ ์šฐ๋ฆฌ๋Š” FLOW-3D๋ฅผย ์‚ฌ์šฉํ•˜์—ฌย ์ง€๊ธˆ๊นŒ์ง€ ์ตœ๊ณ ์˜ ์ •ํ™•๋„๋ฅผ ์ œ๊ณตํ•˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ์Šต๋‹ˆ๋‹ค.ย ๋˜ํ•œ FLOW-3Dย ํŒ€ ์˜ ์ง€์›์€ย ํƒ์›”ํ•ฉ๋‹ˆ๋‹ค.

At 4C-Technologies we have been pioneers in using various software flow simulation solutions for nearly 35 years. We optimize part designs and tool/runner designs on casted HPDC parts in various metal alloys. Since 2008 we have solely been usingย FLOW-3Dย as it turned out to give by far the best accuracy. Furthermore, the support from theย FLOW-3Dย team is outstanding.
20๋…„ ์ด์ƒย FLOW-3Dย ์™€ ํ•จ๊ป˜ CFD ๋ถ„์„์„ ์‚ฌ์šฉํ•˜๋ฉด์„œ ์šฐ๋ฆฌ์˜ ์‹ ๋ขฐ ์ˆ˜์ค€์€ ์ด์ œ ์ผ๋ฐ˜ ์—ฐ๊ตฌ ๋ชฉ์  ๋ฐ ์ตœ์ข… ์„ค๊ณ„ ์‘์šฉ ํ”„๋กœ๊ทธ๋žจ์— CFD ๋ชจ๋ธ๋ง์„ ์‚ฌ์šฉํ•˜๋Š” ๋ฐ ํ™•์‹ ์„ ๊ฐ€์งˆ ์ •๋„๋กœ ๋†’์•„์กŒ์Šต๋‹ˆ๋‹ค.ย ์ด ์†Œํ”„ํŠธ์›จ์–ด๋Š” ๊ฐœ๋…์  ์„ธ๋ถ€ ์‚ฌํ•ญ๊ณผ ๊ตฌ์„ฑ์„ ์‹ ์†ํ•˜๊ฒŒ ๋ณ€๊ฒฝํ•  ์ˆ˜ ์žˆ๋Š” ์œ ์—ฐ์„ฑ์„ ์ œ๊ณตํ•˜์—ฌ ์„ค๊ณ„๋ฅผ ๋‹จ๊ณ„์ ์œผ๋กœ ์ง„ํ–‰ํ•  ์ˆ˜ ์žˆ๋„๋ก ํ•ฉ๋‹ˆ๋‹ค.

From using CFD analysis withย FLOW-3Dย for over twenty years, our level of trust has increased to the point that we are now confident in using CFD modeling for general study purposes and final design applications. The software gives us flexibility to quickly change conceptual details and configurations allowing the design to advance in stages.
์šฐ๋ฆฌ๋Š” FLOW-3Dย AM์„ย ์‚ฌ์šฉํ•˜์—ฌ ๊ธฐ์ดˆ ๊ณผํ•™์˜ ๊ฒฝ๊ณ„๋ฅผ ๋ฐœ์ „์‹œ์ผœย ์™”์Šต๋‹ˆ๋‹ค .ย FLOW-3Dย AM์€ย ๋‹ค์ค‘ ํ•ฉ๊ธˆ 3D ํ”„๋ฆฐํŒ… ์ค‘ ๋ณต์žกํ•œ ํ˜„์ƒ์„ ์ง€๋ฐฐํ•˜๋Š” ๋ฌผ๋ฆฌํ•™์— ๋Œ€ํ•œ ์šฐ๋ฆฌ์˜ ๊ฐ€์„ค์„ ํ…Œ์ŠคํŠธํ•˜๋Š” ํ›Œ๋ฅญํ•œ ๋„๊ตฌ์˜€์Šต๋‹ˆ๋‹ค.ย FLOW-3Dย AM์€ย ์šฐ๋ฆฌ๊ฐ€ ์—ด ํ”„๋กœํ•„์˜ ์ง„ํ™”์™€ ๊ด€๋ จ๋œ ๋ฌผ์งˆ ์ „๋‹ฌ ๋ฐ ๋ณต์žกํ•œ ์ ์ธต ๊ตฌ์กฐ์—์„œ ์—ด ์‘๋ ฅ์˜ ๋ฐœ๋‹ฌ์„ ์ดํ•ดํ•˜๋Š” ๋ฐ ๋„์›€์ด ๋˜์—ˆ์Šต๋‹ˆ๋‹ค.

We have been usingย FLOW-3Dย AMย to advance the boundaries of fundamental science.ย FLOW-3Dย AMย has been a great tool to test our hypotheses about the physics governing complex phenomena during multi-alloy 3D printing.ย FLOW-3Dย AMย has helped us understand the evolution of thermal profiles and the associated mass transport and development of thermal stresses in complicated additively-built structures.
FLOW-3Dย ๋Š” ๋งŽ์€ ์‘์šฉ ํ”„๋กœ๊ทธ๋žจ์ด ์žˆ๋Š” ๊ฐ•๋ ฅํ•œ ๋„๊ตฌ์ž…๋‹ˆ๋‹ค.ย ์šฐ๋ฆฌ๋Š”ย FLOW-3D๋ฅผย ์‚ฌ์šฉํ•˜์—ฌ ๋ฌผ ์ „ํ™˜ ๊ตฌ์กฐ์˜ ํ๋ฆ„๊ณผ ์ˆ˜๋ ฅ์„ ํšจ๊ณผ์ ์œผ๋กœ ํ•ด๊ฒฐํ–ˆ์Šต๋‹ˆ๋‹ค.ย ์šฐ๋ฆฌ๋Š” ๋˜ํ•œ ์ œ์•ˆ๋œ ๋ฌผ๊ณ ๊ธฐ ํ†ต๋กœ๋ฅผ ํ†ตํ•œ ๋ฌผ ํ๋ฆ„์„ ๋ชจ๋ธ๋งํ–ˆ์Šต๋‹ˆ๋‹ค.ย ์šฐ๋ฆฌ๋Š” ์ •ํ™•์„ฑ, ๊ณ„์‚ฐ ์†๋„, ํŠนํžˆ ์‚ฌ์šฉ์ž ์นœํ™”์ ์ธ GUI์— ๊นŠ์€ ์ธ์ƒ์„ ๋ฐ›์•˜์Šต๋‹ˆ๋‹ค.ย ๊ทธ๋ฆฌ๊ณ  ์šฐ๋ฆฌ ๊ณ ๊ฐ๋“ค์€ ๋ชจ๋ธ ์ถœ๋ ฅ๊ณผ ํฌ์ŠคํŠธ ํ”„๋กœ์„ธ์„œ์— ์˜ํ•ด ์ƒ์„ฑ๋œ ์• ๋‹ˆ๋ฉ”์ด์…˜์— ๊นŠ์€ ์ธ์ƒ์„ ๋ฐ›์•˜์Šต๋‹ˆ๋‹ค.ย ์šฐ๋ฆฌ๋Š” ๋˜ํ•œ ๋งค์šฐ ๋ฐ˜์‘์ด ์ข‹์€ ์ง€์› ์ง์›์—๊ฒŒ ๊ฐ์‚ฌํ•ฉ๋‹ˆ๋‹ค.

FLOW-3Dย is a powerful tool with many applications. We usedย FLOW-3Dย to effectively resolve flow through and hydraulic forces on a water diversion structure. We also modeled water flow through a proposed fish passage. We have been impressed with the accuracy, computational speed, and especially the user friendly GUI. And, our clients have been impressed with the model output, as well as, animations created by the post-processer. We are also appreciative of the highly responsive support staff.
์ˆ˜๋…„์— ๊ฑธ์ณย FLOW-3D๋Š”ย ๊ธฐ์กด์˜ ์œ ์•• ๋ชจ๋ธ๋ง ๋„๊ตฌ๋กœ๋Š” ํ•ด๊ฒฐํ•˜๊ธฐ ๋งค์šฐ ์–ด๋ ค์› ์„ ๋ณต์žกํ•œ ์œ ์•• ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•˜๋Š” ๋ฐ ๋„์›€์„ ์ฃผ์—ˆ์Šต๋‹ˆ๋‹ค.ย ์šฐ๋ฆฌ๋Š” FLOW-3Dย ํŒ€์—๊ฒŒ ๋งค์šฐ ๊ฐ์‚ฌํ•ฉ๋‹ˆ๋‹คย .ย ๊ทธ๋“ค์€ ์ˆ˜๋…„์— ๊ฑธ์ณ ์ง€์†์ ์œผ๋กœ ์†Œํ”„ํŠธ์›จ์–ด๋ฅผ ๊ฐœ์„ ํ•ด ์™”์œผ๋ฉฐ ์šฐ๋ฆฌ์˜ ์š”๊ตฌ์— ๋งค์šฐ ์‹ ์†ํ•˜๊ฒŒ ๋Œ€์‘ํ•ด ์™”์Šต๋‹ˆ๋‹ค.

Over the years,ย FLOW-3Dย has helped us solve complex hydraulic problems that would have otherwise been very difficult to solve with conventional hydraulic modeling tools. We are very thankful to the team atย FLOW-3D. They have constantly been making the software better over the years, and have been very responsive to our needs.
FLOW-3Dย ๋Š” ๋‹น์‚ฌ์˜ ์šฐ์ฃผ ๊ณตํ•™ ์—ฐ๊ตฌ ๋ฐ ๊ฐœ๋ฐœ ํ”„๋กœ์„ธ์Šค์—์„œ ํ•„์ˆ˜์ ์ธ ๋„๊ตฌ์ž…๋‹ˆ๋‹ค.ย FLOW-3D๋Š”ย ๊ทน์ €์˜จ ์—ฐ๋ฃŒ ์—ญํ•™์˜ ํ”„๋กœ์„ธ์Šค๋ฅผ ๋” ์ž˜ ์ดํ•ดํ•˜์—ฌ ์งˆ๋Ÿ‰์„ ์ค„์ด๊ณ  ๋ฐœ์‚ฌ๊ธฐ ์„ฑ๋Šฅ์„ ํ–ฅ์ƒ์‹œํ‚ค๋Š”๋ฐ ๋„์›€์ด ๋ฉ๋‹ˆ๋‹ค.

FLOW-3Dย is an essential tool in our space engineering research & development process.ย FLOW-3Dย helps us better understand processes in cryogenic fuel dynamics, leading to savings in mass and improved launcher performance.
FLOW-3Dย CAST๋Š”ย CASTMAN, Inc์˜ ์ œํ’ˆ ๊ฐœ๋ฐœ ๋ฐ ํ’ˆ์งˆ ํ™•๋ณด์— ๋งค์šฐ ํฐ ๋„์›€์„ ์ฃผ์—ˆ์Šต๋‹ˆ๋‹ค.ย FLOW-3D๋ฅผ ํ•œ๊ตญ์— ๋…์  ๊ณต๊ธ‰ํ•˜๋Š” (์ฃผ)์—์Šคํ‹ฐ์•„์ด์”จ์•ค๋””์˜ ์ˆ˜์น˜ํ•ด์„ ์ปจ์„คํŒ…ํŒ€๊ณผ ํ˜‘์—…์„ ํ†ตํ•ด ์ œํ’ˆ ๊ฐœ๋ฐœ ์‹œ FLOW-3D ์ฃผ์กฐ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ํ†ตํ•ดย ๊ธฐ์ˆ ์ ์ธ ์—ฌ๋Ÿฌ ์–ด๋ ค์›€์ด ์žˆ๋Š” ์ œํ’ˆ ๊ฐœ๋ฐœ์— ๋ชจ๋‘ ์„ฑ๊ณตํ•˜์˜€์Šต๋‹ˆ๋‹ค.ย ์ด๋Š” ๊ฐœ๋ฐœ ๋น„์šฉ, ๊ธฐ์ˆ ์ ์ธ ์–ด๋ ค์›€, ๊ฐœ๋ฐœ ๊ธฐ๊ฐ„ ๋ฐ ๊ฐ€์žฅ ์ค‘์š”ํ•œ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์˜ ์ •ํ™•๋„๊ฐ€ ํฌํ•จ๋ฉ๋‹ˆ๋‹ค.ย FLOW-3Dย CASTย ์˜ ๊ฐ•๋ ฅํ•œ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ธฐ๋Šฅ์€ ๊ฐ€์žฅ ๋ณต์žกํ•œ ์ž‘์—…์—์„œ ๊ณ ํ’ˆ์งˆ ์ฃผ์กฐ๋ฅผ ๋ณด์žฅํ•˜๋Š” ๋ฐ ๋„์›€์ด ๋˜์—ˆ์Šต๋‹ˆ๋‹ค.

News

FLOW-3D 2026 European User Conference

FLOW-3D 2026 European User Conference

FLOW-3D 2026 European User Conference 6์›” 16์ผ๋ถ€ํ„ฐ 17์ผ๊นŒ์ง€ ๋’ค์…€๋„๋ฅดํ”„์˜ Steigenberger Icon Parkhotel์—์„œ ์—ด๋ฆฌ๋Š” FLOW-3D 2026 European User Conference์— ๊ณ ๊ฐ ์—ฌ๋Ÿฌ๋ถ„์„ ์ดˆ๋Œ€ํ•ฉ๋‹ˆ๋‹ค. ์ฃผ์š” ๊ธฐ์—… ๋ฐ ๊ธฐ๊ด€์˜ ๋™๋ฃŒ ์—”์ง€๋‹ˆ์–ด, ์—ฐ๊ตฌ์›, ๊ณผํ•™์ž๋“ค๊ณผ ์—ฐ๊ฒฐํ•˜์—ฌ ...
FLOW-3D WELD/AM

FLOW-3D WELD/AM ์›จ๋น„๋‚˜ ์•ˆ๋‚ด

์šฉ์ ‘ ๋ฐ 3Dํ”„๋ฆฐํŒ…์— ํŠนํ™”๋œ ์ˆ˜์น˜ํ•ด์„ ํ”„๋กœ๊ทธ๋žจ์ธ FLOW-3D WELD/AM์˜ ์ƒˆ๋กœ์šด ๊ธฐ๋Šฅ์„ ์†Œ๊ฐœํ•ด ๋“œ๋ฆด ์›จ๋น„๋‚˜๋ฅผ ๊ฐœ์ตœํ•ฉ๋‹ˆ๋‹ค. ์ด๋ฒˆ ์›จ๋น„๋‚˜์—์„œ๋Š” ์ต์ˆ™ํ•˜์ง€๋งŒ ๋†“์น˜๊ณ  ์žˆ์—ˆ๋˜ FLOW-3D WELD/AM์˜ ํ•ต์‹ฌ ๊ธฐ๋Šฅ๊ณผ ๋”์šฑ ๊ฐ•๋ ฅํ•ด์ง„ ์ตœ์‹  ์—…๋ฐ์ดํŠธ ๋‚ด์šฉ์„ ์ง‘์ค‘์ ์œผ๋กœ ๋‹ค๋ฃน๋‹ˆ๋‹ค ...

๊ธฐ์ˆ ์ž๋ฃŒ

Figure C10b: Microstructure of PM Al indicating the grain measurements (x400)

5754 ์•Œ๋ฃจ๋ฏธ๋Š„ ํ•ฉ๊ธˆ๊ณผ C11000 ๊ตฌ๋ฆฌ ๊ฐ„์˜ ์ด์ข… ๋งˆ์ฐฐ ๊ต๋ฐ˜ ์šฉ์ ‘ ํŠน์„ฑ ๋ถ„์„

5754 ์•Œ๋ฃจ๋ฏธ๋Š„ ํ•ฉ๊ธˆ๊ณผ C11000 ๊ตฌ๋ฆฌ ๊ฐ„์˜ ์ด์ข… ๋งˆ์ฐฐ ๊ต๋ฐ˜ ์šฉ์ ‘ ํŠน์„ฑ ๋ถ„์„ CHARACTERISATION OF DISSIMILAR FRICTION STIR WELDS BETWEEN 5754 ...
Figure 3. Mold shape and flow pass change.

๊ธˆ์† ์••๋ ฅ ์ œ์–ด ์‹œ์Šคํ…œ์„ ์ด์šฉํ•œ ์‚ฌํ˜• ํ”„๋ ˆ์Šค ์ฃผ์กฐ

๊ธˆ์† ์••๋ ฅ ์ œ์–ด ์‹œ์Šคํ…œ์„ ์ด์šฉํ•œ ์‚ฌํ˜• ํ”„๋ ˆ์Šค ์ฃผ์กฐ Sand Mold Press Casting with Metal Pressure Control System ๋ณธ ๋ณด๊ณ ์„œ๋Š” ์‚ฌํ˜• ...
Figure 2 Physical model of horizontal centrifugal casting

Al-Cu ํ•ฉ๊ธˆ์˜ ์›์‹ฌ ์ฃผ์กฐ๋ฅผ ์œ„ํ•œ ๋ฏธ์„ธ์กฐ์ง ๋ฐ ์—ด๊ฐ„ ๊ท ์—ด ๋ฏผ๊ฐ๋„ ์‹œ๋ฎฌ๋ ˆ์ด์…˜๊ณผ ๋งค๊ฐœ๋ณ€์ˆ˜ ์ตœ์ ํ™”

Al-Cu ํ•ฉ๊ธˆ์˜ ์›์‹ฌ ์ฃผ์กฐ๋ฅผ ์œ„ํ•œ ๋ฏธ์„ธ์กฐ์ง ๋ฐ ์—ด๊ฐ„ ๊ท ์—ด ๋ฏผ๊ฐ๋„ ์‹œ๋ฎฌ๋ ˆ์ด์…˜๊ณผ ๋งค๊ฐœ๋ณ€์ˆ˜ ์ตœ์ ํ™” Microstructure and hot tearing sensitivity simulation and ...
Fig. 4(a) 1.6mm ์ง๊ฒฝ์™€์ด์–ด, ์‹ฑ๊ธ€ ์šฉ์ ‘

ํ›„ํŒ Al 5083 ํ•ฉ๊ธˆ์˜ GMA ์šฉ์ ‘์—์„œ ๋ณดํ˜ธ๊ฐ€์Šค ์กฐ์„ฑ ๋ฐ ์šฉ์ ‘๋ณ€์ˆ˜์— ๋”ฐ๋ฅธ ์šฉ์ ‘์„ฑ ํ‰๊ฐ€

ํ›„ํŒ Al 5083 ํ•ฉ๊ธˆ์˜ GMA ์šฉ์ ‘์—์„œ ๋ณดํ˜ธ๊ฐ€์Šค ์กฐ์„ฑ ๋ฐ ์šฉ์ ‘๋ณ€์ˆ˜์— ๋”ฐ๋ฅธ ์šฉ์ ‘์„ฑ ํ‰๊ฐ€ Effects of Shielding Gas Compositions and Welding ...
Figure 1: Schematic of friction stir welding.

์•Œ๋ฃจ๋ฏธ๋Š„ ํ•ฉ๊ธˆ ๋งˆ์ฐฐ ๊ต๋ฐ˜ ์šฉ์ ‘ ๊ฒน์น˜๊ธฐ ์ด์Œ๋ถ€์˜ ๊ธฐ๊ณ„์  ํŠน์„ฑ ์ตœ์ ํ™”

์•Œ๋ฃจ๋ฏธ๋Š„ ํ•ฉ๊ธˆ ๋งˆ์ฐฐ ๊ต๋ฐ˜ ์šฉ์ ‘ ๊ฒน์น˜๊ธฐ ์ด์Œ๋ถ€์˜ ๊ธฐ๊ณ„์  ํŠน์„ฑ ์ตœ์ ํ™” Mechanical Properties Optimization of Friction Stir Welded Lap Joints in ...
Fig. 3: First mode shape amplitude at pier locations of bridge system due to varying levels of stiffness loss as a result of scour at Pier 3 (60 m point).

์ง์ ‘ ๊ธฐ์ดˆ ๋‹ค๊ฒฝ๊ฐ„ ๊ต๋Ÿ‰์˜ ๋ชจ๋“œ ํ˜•์ƒ ๊ธฐ๋ฐ˜ ์„ธ๊ตด ๋ชจ๋‹ˆํ„ฐ๋ง ๊ธฐ๋ฒ•์— ๋Œ€ํ•œ ์‹คํ—˜์  ์‹ค์ฆ

์ง์ ‘ ๊ธฐ์ดˆ ๋‹ค๊ฒฝ๊ฐ„ ๊ต๋Ÿ‰์˜ ๋ชจ๋“œ ํ˜•์ƒ ๊ธฐ๋ฐ˜ ์„ธ๊ตด ๋ชจ๋‹ˆํ„ฐ๋ง ๊ธฐ๋ฒ•์— ๋Œ€ํ•œ ์‹คํ—˜์  ์‹ค์ฆ Experimental demonstration of a mode shape-based scour ...
Figure 2,3 Illustration of furnace operation before and after upgrading

๋‹ค์ด์บ์ŠคํŒ… ๊ณต์žฅ์˜ ์•Œ๋ฃจ๋ฏธ๋Š„ ์šฉํ•ด๋กœ์— ๋Œ€ํ•œ ์—‘์„œ์ง€ ๋ถ„์„ ๋ฐ ํšจ์œจ ํ‰๊ฐ€

๋‹ค์ด์บ์ŠคํŒ… ๊ณต์žฅ์˜ ์•Œ๋ฃจ๋ฏธ๋Š„ ์šฉํ•ด๋กœ์— ๋Œ€ํ•œ ์—‘์„œ์ง€ ๋ถ„์„ ๋ฐ ํšจ์œจ ํ‰๊ฐ€ Exergy analysis and efficiency evaluation for an aluminium melting furnace ...
Figure 2. SEM analysis of physico- chemical soldering: (a) back scattered electron image (b) X-ray mapping of Al.

๋‹ค์ด์บ์ŠคํŒ…์˜ย ๋ฏธ์„ธ ๊ท ์—ด ๋ฐ ๊ธˆํ˜• ์นจ์‹ ๋ถ„์„

๋‹ค์ด์บ์ŠคํŒ…์˜ ๋ฏธ์„ธ ๊ท ์—ด ๋ฐ ๊ธˆํ˜• ์นจ์‹ ๋ถ„์„ Analysis of Micro Cracks and Die Erosion in Die Casting ๋ณธ ๋ณด๊ณ ์„œ๋Š” ๊ณ ์•• ...
Figure-9, Macrograph of the weld Joint

์ด์ข… ๊ฐ•์žฌ ์šฉ์ ‘์„ ์œ„ํ•œ GMAW ๊ณต์ •์˜ ๋งค๊ฐœ๋ณ€์ˆ˜ ์ตœ์ ํ™”

์ด์ข… ๊ฐ•์žฌ ์šฉ์ ‘์„ ์œ„ํ•œ GMAW ๊ณต์ •์˜ ๋งค๊ฐœ๋ณ€์ˆ˜ ์ตœ์ ํ™” Parameter Optimizations of GMAW Process for Dissimilar Steels Welding ๋ณธ ์—ฐ๊ตฌ๋Š” ์ฒ ๋„ ...
FIGURE 9. Optical images of the microstructure of AISI 1020 high manganese alloy.

SAW๋กœ ์šฉ์ ‘๋œ AISI 1020 ํ•ฉ๊ธˆ ์ด์Œ๋งค์˜ ์ธ์žฅ ๊ฐ•๋„ ๋ฐ ํ”ผํฌ ์˜จ๋„ ์ตœ์ ํ™”์— ๋ฏธ์น˜๋Š” ์šฉ์ ‘ ๋งค๊ฐœ๋ณ€์ˆ˜์˜ ์˜ํ–ฅ

SAW๋กœ ์šฉ์ ‘๋œ AISI 1020 ํ•ฉ๊ธˆ ์ด์Œ๋งค์˜ ์ธ์žฅ ๊ฐ•๋„ ๋ฐ ํ”ผํฌ ์˜จ๋„ ์ตœ์ ํ™”์— ๋ฏธ์น˜๋Š” ์šฉ์ ‘ ๋งค๊ฐœ๋ณ€์ˆ˜์˜ ์˜ํ–ฅ Influence of Welding Parameters ...
Fig. 3. Casting pores in AlSi7Mg observed by metallography

X-์„  ์ปดํ“จํ„ฐ ๋‹จ์ธต ์ดฌ์˜ ๋ฐ ๊ธˆ์† ์กฐ์งํ•™์„ ์ด์šฉํ•œ ์ฃผ์กฐ ๊ธฐ๊ณต ํŠน์„ฑ ๋ถ„์„

X-์„  ์ปดํ“จํ„ฐ ๋‹จ์ธต ์ดฌ์˜ ๋ฐ ๊ธˆ์† ์กฐ์งํ•™์„ ์ด์šฉํ•œ ์ฃผ์กฐ ๊ธฐ๊ณต ํŠน์„ฑ ๋ถ„์„ CASTING PORE CHARACTERIZATION BY X-RAY COMPUTED TOMOGRAPHY AND ...
Fig. 6 Weld profiles under different welding current at welding speed of 300mm/min (a) 40mA; (b) 50mA; (c) 60mA

์ง„๊ณต ๋กค ํด๋ž˜๋”ฉ ๊ณต์ •์—์„œ AISI P20 ๊ณต๊ตฌ๊ฐ•์˜ ์˜จ๋„ ๋ฐ ์‘๋ ฅ์žฅ์— ๋ฏธ์น˜๋Š” ์ „์ž๋น” ์šฉ์ ‘ ๋งค๊ฐœ๋ณ€์ˆ˜์˜ ์˜ํ–ฅ

์ง„๊ณต ๋กค ํด๋ž˜๋”ฉ ๊ณต์ •์—์„œ AISI P20 ๊ณต๊ตฌ๊ฐ•์˜ ์˜จ๋„ ๋ฐ ์‘๋ ฅ์žฅ์— ๋ฏธ์น˜๋Š” ์ „์ž๋น” ์šฉ์ ‘ ๋งค๊ฐœ๋ณ€์ˆ˜์˜ ์˜ํ–ฅ Effect of Electron Beam Welding ...
Figure 5. (a) Electron backscatter diffraction (EBSD) orientation map, (b) grain boundary misorientation angles, (c) {100}, {110} and {111} pole figures of the alloy in the heat-tread condition

์—ด์ฒ˜๋ฆฌ๋œ ๋‹ค์ด์บ์ŠคํŠธ Al-Mg-Si ๊ธฐ๋ฐ˜ ์•Œ๋ฃจ๋ฏธ๋Š„ ํ•ฉ๊ธˆ์˜ ๋ฐ˜๋ณต ๋ณ€ํ˜• ๊ฑฐ๋™

์—ด์ฒ˜๋ฆฌ๋œ ๋‹ค์ด์บ์ŠคํŠธ Al-Mg-Si ๊ธฐ๋ฐ˜ ์•Œ๋ฃจ๋ฏธ๋Š„ ํ•ฉ๊ธˆ์˜ ๋ฐ˜๋ณต ๋ณ€ํ˜• ๊ฑฐ๋™ Cyclic Deformation Behavior of A Heat-Treated Die-Cast Al-Mg-Si-Based Aluminum Alloy ๋ณธ ...
Figure 1 Examples for the assessment of the weld quality a) cross-section 1,0 b) cross-section 0,0 c) upper bead 1,0 d) upper bead 0,0

์ง„๊ณต ์ƒํƒœ์—์„œ์˜ ๊ตฌ๋ฆฌ ๋ ˆ์ด์ € ๋น” ์šฉ์ ‘์„ ํ†ตํ•œ ๊ณต์ • ํ•œ๊ณ„ ํ™•์žฅ

์ง„๊ณต ์ƒํƒœ์—์„œ์˜ ๊ตฌ๋ฆฌ ๋ ˆ์ด์ € ๋น” ์šฉ์ ‘์„ ํ†ตํ•œ ๊ณต์ • ํ•œ๊ณ„ ํ™•์žฅ Laser beam welding of copper under vacuum to extend the ...
Fig. 3 Welding testing (a) Tensile test samples; (b) Rockwell hardness instrument

์ƒ์šฉ๊ฐ•์˜ ์ธ์žฅ ๊ฐ•๋„์— ๋ฏธ์น˜๋Š” ๊ทธ๋ฃจ๋ธŒ ํ˜•์ƒ์˜ ์˜ํ–ฅ ์—ฐ๊ตฌ

์ƒ์šฉ๊ฐ•์˜ ์ธ์žฅ ๊ฐ•๋„์— ๋ฏธ์น˜๋Š” ๊ทธ๋ฃจ๋ธŒ ํ˜•์ƒ์˜ ์˜ํ–ฅ ์—ฐ๊ตฌ Investigation into the Impact of Groove Shape on the Tensile Strength of ...
Figure 2. Simples schematic of joint design

์ €ํƒ„์†Œ๊ฐ• 283 G.C์˜ ์ธ์žฅ ๊ฐ•๋„์— ๋ฏธ์น˜๋Š” ์šฉ์ ‘ ๊ณต์ • ๋งค๊ฐœ๋ณ€์ˆ˜์˜ ์˜ํ–ฅ

์ €ํƒ„์†Œ๊ฐ• 283 G.C์˜ ์ธ์žฅ ๊ฐ•๋„์— ๋ฏธ์น˜๋Š” ์šฉ์ ‘ ๊ณต์ • ๋งค๊ฐœ๋ณ€์ˆ˜์˜ ์˜ํ–ฅ EFFECT OF WELDING PROCESS PARAMETERS ON TENSILE OF LOW CARBON ...
Fig. 5 Crack of ADC12 die casting.

ADC12 ์•Œ๋ฃจ๋ฏธ๋Š„ ํ•ฉ๊ธˆ ๋‹ค์ด์บ์ŠคํŒ…์˜ ๋ƒ‰๊ฐ„ ๊ท ์—ด ํŒ์ • ๊ธฐ์ค€

ADC12 ์•Œ๋ฃจ๋ฏธ๋Š„ ํ•ฉ๊ธˆ ๋‹ค์ด์บ์ŠคํŒ…์˜ ๋ƒ‰๊ฐ„ ๊ท ์—ด ํŒ์ • ๊ธฐ์ค€ Cold Crack Criterion for ADC12 Aluminum Alloy Die Casting ๋ณธ ์—ฐ๊ตฌ๋Š” ์ž๋™์ฐจ ...
์šฉ์ ‘ ๋น„๋“œ์˜ ๊ฒฝ๋„ ์ธก์ • ์œ„์น˜(HAZ ๋ฐ FZ) ๋ชจ์‹๋„

์ €ํƒ„์†Œ๊ฐ• ์ƒ์˜ ๋งˆ๋ฅดํ…์‚ฌ์ดํŠธ๊ณ„ ์Šคํ…Œ์ธ๋ฆฌ์Šค๊ฐ• ํด๋ ˆ์ด๋”ฉ์„ ์œ„ํ•œ ํŽ„์Šค FCAW: ๋ฏธ์„ธ์กฐ์ง, ๊ฒฝ๋„ ๋ฐ ์ž”๋ฅ˜ ์‘๋ ฅ ๋ถ„์„

์ €ํƒ„์†Œ๊ฐ• ์ƒ์˜ ๋งˆ๋ฅดํ…์‚ฌ์ดํŠธ๊ณ„ ์Šคํ…Œ์ธ๋ฆฌ์Šค๊ฐ• ํด๋ ˆ์ด๋”ฉ์„ ์œ„ํ•œ ํŽ„์Šค FCAW: ๋ฏธ์„ธ์กฐ์ง, ๊ฒฝ๋„ ๋ฐ ์ž”๋ฅ˜ ์‘๋ ฅ ๋ถ„์„ Pulsed FCAW of Martensitic Stainless Clads ...
Figure 2. Final precipitate size and morphologies predicted from multiscale simulations elucidating the differences that can be expected in high temperature precipitate homogeneous and heterogeneous nucleation and growth in Al-Cu alloys. Reproduced with permission from Ref. [8].

๊ธฐ๊ณ„์  ํŠน์„ฑ์„ ์œ„ํ•œ ํ•ฉ๊ธˆ ์„ค๊ณ„: ๊ธธ์ด ์Šค์ผ€์ผ์˜ ์ •๋ณต

๊ธฐ๊ณ„์  ํŠน์„ฑ์„ ์œ„ํ•œ ํ•ฉ๊ธˆ ์„ค๊ณ„: ๊ธธ์ด ์Šค์ผ€์ผ์˜ ์ •๋ณต Alloy Design for Mechanical Properties: Conquering the Length Scales ๋ณธ ๋ณด๊ณ ์„œ๋Š” ์›์ž ...
Figure 1. SEM micrographs of (a) TiH2 and (b) Al particles.

TiH2 ๋ฐ Al ๋ถ„๋ง ํ˜ผํ•ฉ๋ฌผ์˜ ๋น„์ˆ˜๊ณ„ ๊ฒ” ์บ์ŠคํŒ…์„ ์ด์šฉํ•œ ๋‹ค๊ณต์„ฑ TiAl ํ•ฉ๊ธˆ ์ œ์กฐ ์—ฐ๊ตฌ

TiH2 ๋ฐ Al ๋ถ„๋ง ํ˜ผํ•ฉ๋ฌผ์˜ ๋น„์ˆ˜๊ณ„ ๊ฒ” ์บ์ŠคํŒ…์„ ์ด์šฉํ•œ ๋‹ค๊ณต์„ฑ TiAl ํ•ฉ๊ธˆ ์ œ์กฐ ์—ฐ๊ตฌ Study on the Fabrication of Porous ...
Figure 8. Optical microscopy images of Source D. (a) oxide bifilm in between the dendrites (b) pores.

A356 ์•Œ๋ฃจ๋ฏธ๋Š„ ํ•ฉ๊ธˆ ์ฃผ์กฐ์˜ ํ—ˆ์šฉ ํ’ˆ์งˆ ํ•œ๊ณ„ ๊ฒฐ์ •: ๊ณต๊ธ‰์—…์ฒด ํ’ˆ์งˆ ์ง€์ˆ˜(SQI)

A356 ์•Œ๋ฃจ๋ฏธ๋Š„ ํ•ฉ๊ธˆ ์ฃผ์กฐ์˜ ํ—ˆ์šฉ ํ’ˆ์งˆ ํ•œ๊ณ„ ๊ฒฐ์ •: ๊ณต๊ธ‰์—…์ฒด ํ’ˆ์งˆ ์ง€์ˆ˜(SQI) Determination of Acceptable Quality Limit for Casting of A356 ...
Figure 3 (a) IPF map of BM, and (b) HAGBs and IQ map in BM

FSSWed TRIP ๊ฐ•์žฌ ์ ‘ํ•ฉ๋ถ€์˜ ๋ฏธ์„ธ์กฐ์ง ๋ฐ ๊ธฐ๊ณ„์  ํŠน์„ฑ์— ๋ฏธ์น˜๋Š” ์˜จ๋„, ๋ณ€ํ˜•๋ฅ  ๋ฐ ๋ณ€ํ˜•๋ฅ  ์†๋„์˜ ์˜ํ–ฅ์— ๊ด€ํ•œ ์œ ํ•œ์š”์†Œ ๋ฐ ์‹คํ—˜์  ์—ฐ๊ตฌ

FSSWed TRIP ๊ฐ•์žฌ ์ ‘ํ•ฉ๋ถ€์˜ ๋ฏธ์„ธ์กฐ์ง ๋ฐ ๊ธฐ๊ณ„์  ํŠน์„ฑ์— ๋ฏธ์น˜๋Š” ์˜จ๋„, ๋ณ€ํ˜•๋ฅ  ๋ฐ ๋ณ€ํ˜•๋ฅ  ์†๋„์˜ ์˜ํ–ฅ์— ๊ด€ํ•œ ์œ ํ•œ์š”์†Œ ๋ฐ ์‹คํ—˜์  ์—ฐ๊ตฌ ...
FIG. 1. Surface morphology of the arc melted, DAM, sample and detail (inset) of dendrite structure observed at grains (a); of the induction melted, DIM, sample (b), and of the ribbon, R, sample (c).

์•„ํฌ ๋ฐ ์œ ๋„ ์šฉํ•ด์™€ ํ‰๋ฉด ์œ ๋™ ์ฃผ์กฐ๋กœ ์ œ์ž‘๋œ Co2FeAl ํ˜ธ์ด์Šค๋Ÿฌ ํ•ฉ๊ธˆ์˜ ๋ฏธ์„ธ๊ตฌ์กฐ ๋ฐ ์ž์„ฑ ๋น„๊ต ์—ฐ๊ตฌ

์•„ํฌ ๋ฐ ์œ ๋„ ์šฉํ•ด์™€ ํ‰๋ฉด ์œ ๋™ ์ฃผ์กฐ๋กœ ์ œ์ž‘๋œ Co2FeAl ํ˜ธ์ด์Šค๋Ÿฌ ํ•ฉ๊ธˆ์˜ ๋ฏธ์„ธ๊ตฌ์กฐ ๋ฐ ์ž์„ฑ ๋น„๊ต ์—ฐ๊ตฌ Microstructure and magnetism of ...
Figure 1. a) Sketch of the pier-caisson system considered in this study; b) Top view of a local scour hole, with the contour lines indicating the depth โ€“ values are normalized with respect to the maximum depth (after [9]).

๊ตญ๋ถ€ ์„ธ๊ตด ์ƒํƒœ์˜ ์ด์ƒํ™”๋œ ๊ต๊ฐ ๊ณ ์œ ์ง„๋™์ˆ˜ ์ˆ˜์น˜ ์˜ˆ์ธก

๊ตญ๋ถ€ ์„ธ๊ตด ์ƒํƒœ์˜ ์ด์ƒํ™”๋œ ๊ต๊ฐ ๊ณ ์œ ์ง„๋™์ˆ˜ ์ˆ˜์น˜ ์˜ˆ์ธก Numerical prediction of the eigenfrequencies of an idealized bridge pier under local ...
Fig. 11. SADP (top), BF (middle), and WBDF (bottom) images of ฮฒ-phase matrix with ๐‘๐‘โ‰ˆ[011]๐›ฝ๐›ฝ zone axis for an area with accumulated dose ranging 7 to11 dpa under RT, increasing from bottom-right to top-left. The WBDF images were taken by selecting a diffraction spot indicated by a yellow cycle in each DP.

ฮฒ-์ƒ ๊ธฐ์งˆ ๋‚ด ฯ‰-์ƒ ์ „๊ตฌ์ฒด๋กœ ์ธํ•œ ์ €์˜จ Ti-6Al-4V ํ•ฉ๊ธˆ์˜ ์ด์ค‘ ์ƒ ์กฐ์‚ฌ ๊ฑฐ๋™ ๋Œ€์กฐ ์—ฐ๊ตฌ

ฮฒ-์ƒ ๊ธฐ์งˆ ๋‚ด ฯ‰-์ƒ ์ „๊ตฌ์ฒด๋กœ ์ธํ•œ ์ €์˜จ Ti-6Al-4V ํ•ฉ๊ธˆ์˜ ์ด์ค‘ ์ƒ ์กฐ์‚ฌ ๊ฑฐ๋™ ๋Œ€์กฐ ์—ฐ๊ตฌ Contrasting Irradiation Behavior of Dual ...
Figure 1. a schematic of the sample, wire, and flux during submerged arc welding

์š”์ธ ์„ค๊ณ„๋ฒ•์„ ์ด์šฉํ•œ ์ž ํ˜ธ ์šฉ์ ‘(SAW) ๊ณต์ • ๋ณ€์ˆ˜ ์ตœ์ ํ™”

์š”์ธ ์„ค๊ณ„๋ฒ•์„ ์ด์šฉํ•œ ์ž ํ˜ธ ์šฉ์ ‘(SAW) ๊ณต์ • ๋ณ€์ˆ˜ ์ตœ์ ํ™” Optimization Process Parameters of Submerged Arc Welding Using Factorial Design Approach ๋ณธ ...
Figure 7. Cast produced for different sprue height above the critical drop height: (a) 450mm sprue height (b) 400mm sprue height. The critical drop height is 377mm.

์ค‘๋ ฅ ์‚ฌ๊ตฌ ์ฃผ์กฐ์—์„œ ์•Œ๋ฃจ๋ฏธ๋Š„ ํ•ฉ๊ธˆ(AL-91% Mg-8% Fe-0.4% Zn-0.2%)์˜ ์ž„๊ณ„ ๋‚™ํ•˜ ๋†’์ด ๋ฐ ์ž„๊ณ„ ์œ ์† ๊ฒฐ์ •

์ค‘๋ ฅ ์‚ฌ๊ตฌ ์ฃผ์กฐ์—์„œ ์•Œ๋ฃจ๋ฏธ๋Š„ ํ•ฉ๊ธˆ(AL-91% Mg-8% Fe-0.4% Zn-0.2%)์˜ ์ž„๊ณ„ ๋‚™ํ•˜ ๋†’์ด ๋ฐ ์ž„๊ณ„ ์œ ์† ๊ฒฐ์ • Determination of the critical drop ...
Figure 2. Porosity content for samples taken from Reduced Pressure Test (RPT) under partial vacuum; (a) without degassing; (b) with degassing tablet; and (c) degassed with high-shear melt conditioning

ํ์ž๋™์ฐจ ์Šคํฌ๋žฉ ์œ ๋ž˜ ์•Œ๋ฃจ๋ฏธ๋Š„ ์ฃผ์กฐ ํ•ฉ๊ธˆ์˜ ๊ณ ์ „๋‹จ ํƒˆ๊ฐ€์Šค ๋ฐ ํƒˆ์ฒ  ๊ณต์ • ์—ฐ๊ตฌ

ํ์ž๋™์ฐจ ์Šคํฌ๋žฉ ์œ ๋ž˜ ์•Œ๋ฃจ๋ฏธ๋Š„ ์ฃผ์กฐ ํ•ฉ๊ธˆ์˜ ๊ณ ์ „๋‹จ ํƒˆ๊ฐ€์Šค ๋ฐ ํƒˆ์ฒ  ๊ณต์ • ์—ฐ๊ตฌ High-Shear De-Gassing and De-Ironing of an Aluminum Casting ...
Figure 7. TIF diagram display. (a) TIF diagram after positioning display processing, (b) TIF diagram after noise filtering, (c) TIF diagram after threshold segmentation processing.

๊ฒฐํ•จ ์‹œ๊ฐํ™”์— ๊ธฐ๋ฐ˜ํ•œ ์•Œ๋ฃจ๋ฏธ๋Š„ ํ•ฉ๊ธˆ์˜ ๋ฉ€ํ‹ฐ์Šค์ผ€์ผ ์†์ƒ ์ง„ํ™” ๋ถ„์„

๊ฒฐํ•จ ์‹œ๊ฐํ™”์— ๊ธฐ๋ฐ˜ํ•œ ์•Œ๋ฃจ๋ฏธ๋Š„ ํ•ฉ๊ธˆ์˜ ๋ฉ€ํ‹ฐ์Šค์ผ€์ผ ์†์ƒ ์ง„ํ™” ๋ถ„์„ Multiscale Damage Evolution Analysis of Aluminum Alloy Based on Defect Visualization ...
Fig. 2: ์ฃผ์กฐ ๋ฐ ์••์—ฐ๋œ ์‹œํŽธ์˜ ์ œ2์ƒ ์ž…์ž SEM ์ด๋ฏธ์ง€ (ํ‘œ๋ฉด, 1/4 ์ง€์ , ์ค‘์‹ฌ๋ถ€)

๊ณ ์† ์Œ๋กค ์ฃผ์กฐ๋กœ ์ œ์กฐ๋œ A356 ํ•ฉ๊ธˆ ์ŠคํŠธ๋ฆฝ์˜ ๋ƒ‰๊ฐ„ ์••์—ฐ ๋ฐ ๊ณ ์šฉํ™” ์ฒ˜๋ฆฌ์— ๋”ฐ๋ฅธ ๋ฏธ์„ธ์กฐ์ง๊ณผ ์—ฐ์‹ ์œจ ์ด๋ฐฉ์„ฑ

๊ณ ์† ์Œ๋กค ์ฃผ์กฐ๋กœ ์ œ์กฐ๋œ A356 ํ•ฉ๊ธˆ ์ŠคํŠธ๋ฆฝ์˜ ๋ƒ‰๊ฐ„ ์••์—ฐ ๋ฐ ๊ณ ์šฉํ™” ์ฒ˜๋ฆฌ์— ๋”ฐ๋ฅธ ๋ฏธ์„ธ์กฐ์ง๊ณผ ์—ฐ์‹ ์œจ ์ด๋ฐฉ์„ฑ Microstructure and Elongation Anisotropy ...
FIGURE 4. Expansion test on cup B

SLS ๋ฐ ์ง„๊ณต ๋‹ค์ด์บ์ŠคํŒ…์„ ์ด์šฉํ•œ ํ™˜์ž ๋งž์ถคํ˜• ์œ ์—ฐ ์‹ค๋ฆฌ์ฝ˜ ์ž„ํ”Œ๋ž€ํŠธ ๊ฐœ๋ฐœ

SLS ๋ฐ ์ง„๊ณต ๋‹ค์ด์บ์ŠคํŒ…์„ ์ด์šฉํ•œ ํ™˜์ž ๋งž์ถคํ˜• ์œ ์—ฐ ์‹ค๋ฆฌ์ฝ˜ ์ž„ํ”Œ๋ž€ํŠธ ๊ฐœ๋ฐœ Developing a Patient Individualized Flexible Silicone Implant using SLS ...
Figure 20. Scour depth of interaction of two piers; (A) square collar of dimension 24ร—24 cm on bed level; (B) triple collar of dimension 24ร—24 cm

๊ต๋Ÿ‰ ๊ต๊ฐ์˜ ์„ธ๊ตด ์ œ์–ด๋ฅผ ์œ„ํ•œ ์ตœ์  ์„ค๊ณ„

๊ต๋Ÿ‰ ๊ต๊ฐ์˜ ์„ธ๊ตด ์ œ์–ด๋ฅผ ์œ„ํ•œ ์ตœ์  ์„ค๊ณ„ Optimum Design for Controlling the Scouring on Bridge Piers ๋ณธ ์—ฐ๊ตฌ๋Š” ๊ต๋Ÿ‰ ๋ถ•๊ดด์˜ ...
Fig. 1ใ€€Arc-melted and solidified Mo-Si-B-TiC alloy: (a) whole view showing the designation of the samples for microstructure observations, (b)โ€“(d) illustration for the preparation of the samples cut from the ingot.

์šฉํ•ด ๋ฐ ํ‹ธํŠธ ์ฃผ์กฐ๋ฒ•์œผ๋กœ ์ œ์กฐ๋œ Mo-Si-B-TiC ํ•ฉ๊ธˆ์˜ ๋ฏธ์„ธ์กฐ์ง ์ •๋Ÿ‰์  ํ‰๊ฐ€

์šฉํ•ด ๋ฐ ํ‹ธํŠธ ์ฃผ์กฐ๋ฒ•์œผ๋กœ ์ œ์กฐ๋œ Mo-Si-B-TiC ํ•ฉ๊ธˆ์˜ ๋ฏธ์„ธ์กฐ์ง ์ •๋Ÿ‰์  ํ‰๊ฐ€ Quantitative Evaluation of Microstructure in Mo-Si-B-TiC Alloy Produced by Melting ...
Figure 7. Microsection of a clinch joint. (A) punch-side HCT590X, die-side AlSi9 (2.0 mm), (B) punch-side HCT590X, die-side AlSi9 (3 mm), (C) punch-side AlSi9 (2.0 mm), die-side HCT590X, (D) punch-side AlSi9 (3.0 mm), die-side HCT590X

์‚ฌํ˜• ์ฃผ์กฐ ์‹œ ์‘๊ณ  ์†๋„๊ฐ€ ์ฃผ์กฐ ์•Œ๋ฃจ๋ฏธ๋Š„ ํ•ฉ๊ธˆ์˜ ๊ธฐ๊ณ„์  ์ ‘ํ•ฉ์„ฑ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ

์‚ฌํ˜• ์ฃผ์กฐ ์‹œ ์‘๊ณ  ์†๋„๊ฐ€ ์ฃผ์กฐ ์•Œ๋ฃจ๋ฏธ๋Š„ ํ•ฉ๊ธˆ์˜ ๊ธฐ๊ณ„์  ์ ‘ํ•ฉ์„ฑ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ Effect of Solidification Rates at Sand Casting on ...
Figure 10. Representative micrographs of selected composite after wear test under 15-N normal load, 4.69 m/s sliding velocity and 1500 m sliding distance of (a) A-1, 0 wt.% MD; (b) A-2, 1.5 wt.% MD; (c) A-3, 3 wt.% MD; (d) A-4, 4.5 wt.% MD; (e) A-5, 6 wt.% MD reinforced composites.

๋Œ€๋ฆฌ์„ ๋ถ„๋ง ๊ฐ•ํ™” ๊ตฌ๋ฆฌ ๊ธฐ๋ฐ˜ ํ•ฉ๊ธˆ(C93200) ๋ณตํ•ฉ์žฌ์˜ ์ง„๊ณต ํ™˜๊ฒฝ ๊ต๋ฐ˜ ์ฃผ์กฐ ๊ฐœ๋ฐœ ๋ฐ ํ‰๊ฐ€

๋Œ€๋ฆฌ์„ ๋ถ„๋ง ๊ฐ•ํ™” ๊ตฌ๋ฆฌ ๊ธฐ๋ฐ˜ ํ•ฉ๊ธˆ(C93200) ๋ณตํ•ฉ์žฌ์˜ ์ง„๊ณต ํ™˜๊ฒฝ ๊ต๋ฐ˜ ์ฃผ์กฐ ๊ฐœ๋ฐœ ๋ฐ ํ‰๊ฐ€ Evaluation of Copper-Based Alloy (C93200) Composites ...
Fig. 4โ€”Optical microscopy illustrating the parent, HAZ and TMAZ zones measured from (a) Weld 2, (b) Weld 3, (c) Weld 4, (d) Weld 5.

Ti-6Al-4V ๊ด€์„ฑ ๋งˆ์ฐฐ ์šฉ์ ‘๋ถ€์˜ ์—ด์˜ํ–ฅ๋ถ€ ๋ฐ ์—ด๊ธฐ๊ณ„์  ์˜ํ–ฅ๋ถ€ ๋ชจ๋ธ๋ง

Ti-6Al-4V ๊ด€์„ฑ ๋งˆ์ฐฐ ์šฉ์ ‘๋ถ€์˜ ์—ด์˜ํ–ฅ๋ถ€ ๋ฐ ์—ด๊ธฐ๊ณ„์  ์˜ํ–ฅ๋ถ€ ๋ชจ๋ธ๋ง Modeling of the Heat-Affected and Thermomechanically Affected Zones in a Ti-6Al-4V ...
๊ทธ๋ฆผ 4: ์‚ฌ๊ฐ ๋‹จ๋ฉด ๊ฐ€๊ณต๋ฌผ์˜ ์นจํ•˜ ๊ณต์ •์— ๋Œ€ํ•œ ๋ฌผ๋ฆฌ์  ์‹คํ—˜ ๊ฒฐ๊ณผ ($Pb, t=20^\circ C$)

์ฒด์  ๋‹จ์กฐ์—์„œ ๋ณ€ํ˜• ์—ญ๊ณ„์‚ฐ์„ ํ†ตํ•œ ๊ฐ€๊ณต๋ฌผ ํ˜•์ƒ ๊ฒฐ์ • ๋ฐฉ๋ฒ•๋ก  ์—ฐ๊ตฌ

์ฒด์  ๋‹จ์กฐ์—์„œ ๋ณ€ํ˜• ์—ญ๊ณ„์‚ฐ์„ ํ†ตํ•œ ๊ฐ€๊ณต๋ฌผ ํ˜•์ƒ ๊ฒฐ์ • ๋ฐฉ๋ฒ•๋ก  ์—ฐ๊ตฌ VERSION OF THE DETERMINATION WORKPIECE FORMS IN THE DIE FORGING ...
Fig. 7. Results of die casting fluidity test; (a) Schematic of die cast specimens, (b) flow length.

๊ณ ์•• ๋‹ค์ด์บ์ŠคํŒ…์šฉ ์•Œ๋ฃจ๋ฏธ๋Š„ ํ•ฉ๊ธˆ์˜ ์—ด์ „๋„์„ฑ ๋ฐ ์ฃผ์กฐ์„ฑ์— ๋ฏธ์น˜๋Š” ์ฒจ๊ฐ€์›์†Œ์˜ ์˜ํ–ฅ

๊ณ ์•• ๋‹ค์ด์บ์ŠคํŒ…์šฉ ์•Œ๋ฃจ๋ฏธ๋Š„ ํ•ฉ๊ธˆ์˜ ์—ด์ „๋„์„ฑ ๋ฐ ์ฃผ์กฐ์„ฑ์— ๋ฏธ์น˜๋Š” ์ฒจ๊ฐ€์›์†Œ์˜ ์˜ํ–ฅ Effect of Alloying Elements on the Thermal Conductivity and Casting ...
Figure 2. SEM images of segregated Mo-based coarse particles: (a) clusters of Mo-rich polygonal particles observed in 0.1 Mo, (b) elongated and fragmented Mo-based phases found in 0.3 Mo casting probably deriving from (c) Mo-based needles contained in the Alโ€“Mo10 master alloy; (dโ€“f) corresponding EDS spectra [6].

A354 (Alโ€“Siโ€“Cuโ€“Mg) ์ฃผ์กฐ ํ•ฉ๊ธˆ์— ๋Œ€ํ•œ Mo ์ฒจ๊ฐ€: ์ƒ์˜จ ๋ฐ ๊ณ ์˜จ์—์„œ์˜ ๋ฏธ์„ธ์กฐ์ง ๋ฐ ๊ธฐ๊ณ„์  ํŠน์„ฑ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ

A354 (Alโ€“Siโ€“Cuโ€“Mg) ์ฃผ์กฐ ํ•ฉ๊ธˆ์— ๋Œ€ํ•œ Mo ์ฒจ๊ฐ€: ์ƒ์˜จ ๋ฐ ๊ณ ์˜จ์—์„œ์˜ ๋ฏธ์„ธ์กฐ์ง ๋ฐ ๊ธฐ๊ณ„์  ํŠน์„ฑ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ Mo Addition to the ...
Figure 6. (a) Scour pattern around the 110-mm bridge pier for D50 = 0.470 mm type under open for the highest flow discharge. (b) Scour pattern around the 110-mm bridge pier for D 50 = 0.470 mm type under smooth for the highest flow discharge. (c) Scour patterns around the 110-mm bridge pier for D 50 = 0.470 mm type under rough for the highest flow discharge.

์–ผ์Œ์œผ๋กœ ๋ฎ์ธ ํ๋ฆ„ ์กฐ๊ฑด์—์„œ ๋ณ‘๋ ฌ ๊ต๊ฐ ์ฃผ๋ณ€์˜ ๊ตญ๋ถ€ ์„ธ๊ตด์— ๊ด€ํ•œ ์‹คํ—˜์  ์—ฐ๊ตฌ

์–ผ์Œ์œผ๋กœ ๋ฎ์ธ ํ๋ฆ„ ์กฐ๊ฑด์—์„œ ๋ณ‘๋ ฌ ๊ต๊ฐ ์ฃผ๋ณ€์˜ ๊ตญ๋ถ€ ์„ธ๊ตด์— ๊ด€ํ•œ ์‹คํ—˜์  ์—ฐ๊ตฌ Experimental Study of Local Scour around Side-by-Side Bridge ...
Fig. 1. Caster layout and typical defects in continuously cast products.

์—ฐ์† ์ฃผ์กฐ ์ค‘ ๊ฒฐํ•จ ํ˜•์„ฑ ๋ชจ๋ธ๋ง์„ ์œ„ํ•œ ์œ ๋™, ์—ด์ „๋‹ฌ ๋ฐ ์‘๊ณ ์˜ ์—ญํ• ์„ ์ดํ•ดํ•˜๊ธฐ ์œ„ํ•œ ํ•ต์‹ฌ ์œคํ™œ ๊ฐœ๋…

์—ฐ์† ์ฃผ์กฐ ์ค‘ ๊ฒฐํ•จ ํ˜•์„ฑ ๋ชจ๋ธ๋ง์„ ์œ„ํ•œ ์œ ๋™, ์—ด์ „๋‹ฌ ๋ฐ ์‘๊ณ ์˜ ์—ญํ• ์„ ์ดํ•ดํ•˜๊ธฐ ์œ„ํ•œ ํ•ต์‹ฌ ์œคํ™œ ๊ฐœ๋… Key Lubrication Concepts ...
Static temperature

์ปดํ”„๋ ˆ์„œ ํ•˜์šฐ์ง• ๋‹ค์ด์บ์ŠคํŒ… ๊ณต์ •์˜ ์˜จ๋„ ๊ฒฐํ•จ ๋ถ„์„

์ปดํ”„๋ ˆ์„œ ํ•˜์šฐ์ง• ๋‹ค์ด์บ์ŠคํŒ… ๊ณต์ •์˜ ์˜จ๋„ ๊ฒฐํ•จ ๋ถ„์„ Temperature Defects on Compressor Housing Die Casting Method ๋ณธ ์—ฐ๊ตฌ๋Š” ๊ณ ์•• ๋‹ค์ด์บ์ŠคํŒ…(HPDC) ๊ณต์ •์—์„œ ...
FIG. 9: Temperature variations of the total thermal conductivity ฮบ, lattice thermal conductivity ฮบL, and electronic thermal conductivity ฮบe for Ru2NbAl at H = 0.

๋ฐ˜๊ธˆ์†์„ฑ Ru2NbAl ํ˜ธ์ด์Šฌ๋Ÿฌ ํ•ฉ๊ธˆ์˜ ๊ฐ•์ž์„ฑ ์ƒ๊ด€ ํด๋Ÿฌ์Šคํ„ฐ ์—ฐ๊ตฌ

๋ฐ˜๊ธˆ์†์„ฑ Ru2NbAl ํ˜ธ์ด์Šฌ๋Ÿฌ ํ•ฉ๊ธˆ์˜ ๊ฐ•์ž์„ฑ ์ƒ๊ด€ ํด๋Ÿฌ์Šคํ„ฐ ์—ฐ๊ตฌ Ferromagnetically correlated clusters in semi-metallic Ru2NbAl Heusler alloy ๋ณธ ์—ฐ๊ตฌ๋Š” VEC(์›์ž๊ฐ€ ์ „์ž ...
Figure 2. Illustration of boundary conditions for the finite element model; (a) conventional die casting die, (b) lightweight design die; see Table 1 for notes on 1โ€“8.

๋ชจ๋“ˆํ˜• ์„ค๊ณ„ ๋ฐฉ์‹์„ ์ด์šฉํ•œ ๊ฒฝ๋Ÿ‰ ๋‹ค์ด์บ์ŠคํŒ… ๊ธˆํ˜•์— ๊ด€ํ•œ ๊ธฐ์ดˆ ์—ฐ๊ตฌ

๋ชจ๋“ˆํ˜• ์„ค๊ณ„ ๋ฐฉ์‹์„ ์ด์šฉํ•œ ๊ฒฝ๋Ÿ‰ ๋‹ค์ด์บ์ŠคํŒ… ๊ธˆํ˜•์— ๊ด€ํ•œ ๊ธฐ์ดˆ ์—ฐ๊ตฌ AN INITIAL STUDY OF A LIGHTWEIGHT DIE CASTING DIE USING ...
Figure 2. As-cast microstructures of AZ91D: (a,c) non-treated samples; (b,d) US treated samples

AZ91D ๋งˆ๊ทธ๋„ค์Š˜ ํ•ฉ๊ธˆ์˜ ์ •์  ๋ฐ ๋™์  ๊ธฐ๊ณ„์  ๊ฑฐ๋™์— ๋ฏธ์น˜๋Š” ์ดˆ์ŒํŒŒ ์ฒ˜๋ฆฌ์˜ ์˜ํ–ฅ

AZ91D ๋งˆ๊ทธ๋„ค์Š˜ ํ•ฉ๊ธˆ์˜ ์ •์  ๋ฐ ๋™์  ๊ธฐ๊ณ„์  ๊ฑฐ๋™์— ๋ฏธ์น˜๋Š” ์ดˆ์ŒํŒŒ ์ฒ˜๋ฆฌ์˜ ์˜ํ–ฅ Effect of Ultrasonic Treatment in the Static and ...
Figure 1 Ceramic shell composition close to magnesium alloy

SF6 ๋ฐ 3M NOVEC 612 ๋ณดํ˜ธ ๊ฐ€์Šค๋ฅผ ์ด์šฉํ•œ ์ •๋ฐ€ ์ฃผ์กฐ ์‹œ ๋งˆ๊ทธ๋„ค์Š˜ ํ•ฉ๊ธˆ AZ91E์˜ ์ฃผํ˜•-๊ธˆ์† ๋ฐ˜์‘ ์—ฐ๊ตฌ

SF6 ๋ฐ 3M NOVEC 612 ๋ณดํ˜ธ ๊ฐ€์Šค๋ฅผ ์ด์šฉํ•œ ์ •๋ฐ€ ์ฃผ์กฐ ์‹œ ๋งˆ๊ทธ๋„ค์Š˜ ํ•ฉ๊ธˆ AZ91E์˜ ์ฃผํ˜•-๊ธˆ์† ๋ฐ˜์‘ ์—ฐ๊ตฌ MOLD METAL REACTIONS ...
Figure 11: Effect of voltage and current on the tensile strength.

๋ฐ˜์‘ ํ‘œ๋ฉด ๋ถ„์„๋ฒ•์„ ์ด์šฉํ•œ ๊ฐ€์Šค ํ……์Šคํ… ์•„ํฌ ์šฉ์ ‘ ์—ฐ๊ฐ•์˜ ์šฉ์ ‘ ๊ฐ•๋„ ํŠน์„ฑ ์ตœ์ ํ™”

๋ฐ˜์‘ ํ‘œ๋ฉด ๋ถ„์„๋ฒ•์„ ์ด์šฉํ•œ ๊ฐ€์Šค ํ……์Šคํ… ์•„ํฌ ์šฉ์ ‘ ์—ฐ๊ฐ•์˜ ์šฉ์ ‘ ๊ฐ•๋„ ํŠน์„ฑ ์ตœ์ ํ™” OPTIMIZATION OF WELD STRENGTH PROPERTIES OF TUNGSTEN ...
Fig. 13ใ€€(a) TEM bright-field image of a transverse cross section of the Cuโ€“5Zr alloy rod produced by VUCC. (b, c) Nanoelectron beam diffraction (NBD) patterns obtained at the points marked X and Y, respectively.

์ˆ˜์ง ์ƒํ–ฅ ์—ฐ์† ์ฃผ์กฐ๋ฒ•์œผ๋กœ ์ œ์กฐ๋œ ์•„๊ณต์ • Cu-Zr ํ•ฉ๊ธˆ ๋ด‰์žฌ์˜ ํŠน์„ฑ

์ˆ˜์ง ์ƒํ–ฅ ์—ฐ์† ์ฃผ์กฐ๋ฒ•์œผ๋กœ ์ œ์กฐ๋œ ์•„๊ณต์ • Cu-Zr ํ•ฉ๊ธˆ ๋ด‰์žฌ์˜ ํŠน์„ฑ Characteristics of Hypoeutectic Cuโ€“Zr Alloy Rods Manufactured by Vertically Upwards ...
Figure 7a and 7b: SEM micrographs of dmls_06 rupture surface

์น˜๊ณผ์šฉ ์ฃผ์กฐ ๋ฐ ๋ ˆ์ด์ € ์†Œ๊ฒฐ Cr-Co ํ•ฉ๊ธˆ์˜ ์„ฑ๋Šฅ ํ‰๊ฐ€

์น˜๊ณผ์šฉ ์ฃผ์กฐ ๋ฐ ๋ ˆ์ด์ € ์†Œ๊ฒฐ Cr-Co ํ•ฉ๊ธˆ์˜ ์„ฑ๋Šฅ ํ‰๊ฐ€ Evaluation of Performance of Cast and Laser-Sintered cr-co Alloys for Dental ...
Fig. 2. Frequency dispersion curve of phase velocity of acoustic wave in aluminum plate

๋žจํŒŒ์˜ ํˆฌ๊ณผํŒŒ๋ฅผ ์ด์šฉํ•œ LY12 ์•Œ๋ฃจ๋ฏธ๋Š„ ํ•ฉ๊ธˆ์˜ ๊ฒฐํ•จ ์ดˆ์ŒํŒŒ ํƒ์ƒ ์—ฐ๊ตฌ

๋žจํŒŒ์˜ ํˆฌ๊ณผํŒŒ๋ฅผ ์ด์šฉํ•œ LY12 ์•Œ๋ฃจ๋ฏธ๋Š„ ํ•ฉ๊ธˆ์˜ ๊ฒฐํ•จ ์ดˆ์ŒํŒŒ ํƒ์ƒ ์—ฐ๊ตฌ Research on the ultrasonic testing of defect for LY12 aluminum ...
 

์ „์ฒด ๊ธฐ์ˆ ์ž๋ฃŒ๋กœ ๋ฐ”๋กœ๊ฐ€๊ธฐ

Aluminum Integral Foam Molding Process

Aluminum Integral Foam Molding Process

This application note was contributed by Johannes Hartmann and Vera Jรผchter, Department of Materials Science, Chair of Metals Science and Technology,ย University of Erlangen-Nuremberg

 

์•Œ๋ฃจ๋ฏธ๋Š„ ํผ์€ ์šฐ์ˆ˜ํ•œ ๋Œํ•‘ ๋ฐ ๋†’์€ ์—๋„ˆ์ง€ ํก์ˆ˜์œจ ๋ฐ ๊ตด๊ณก ๊ฐ•์„ฑ๊ณผ ๊ฐ™์€ ์˜ˆ์™ธ์ ์ธ ํŠน์„ฑ์„ ๋ณด์—ฌ์ค๋‹ˆ๋‹ค[1]. ๊ฐ•์„ฑ์€ ํŠนํžˆ ํ•˜์ค‘ ์ง€์ง€ ๋ฐ ๊ฒฝ๋Ÿ‰ ๊ตฌ์กฐ์— ์‚ฌ์šฉํ•˜๊ธฐ์— ํŠนํžˆ ๋งค๋ ฅ์ ์ž…๋‹ˆ๋‹ค. ์ค‘๋Ÿ‰๋ณ„ ๊ฐ•์„ฑ์„ ๋†’์ด๊ณ  ๋ณด๋‹ค ์šฐ์ˆ˜ํ•œ ํ•˜์ค‘ ์ „๋‹ฌ์„ ์œ„ํ•ด ์•Œ Aluminum Foam Sandwiches (AFS)์™€ ๊ฐ™์€ ์ปดํŒฉํŠธํ•œ ํŠน์„ฑ์ด ํ•„์š”ํ•ฉ๋‹ˆ๋‹ค [2].

Erlangen-Nuremberg ๋Œ€ํ•™์˜ ๊ธˆ์† ๊ณตํ•™๊ณผ ๊ธฐ์ˆ  ์œ„์›์žฅ์€ ์•Œ๋ฃจ๋ฏธ๋Š„ ๋ฐœํฌ ํŠน์„ฑ์„ ์ ์ฐจ์ ์œผ๋กœ ์ƒ์‚ฐํ•˜๊ธฐ ์œ„ํ•ด ๋‹ค์ด์บ์ŠคํŒ… ๊ณต์ •์ธ Integral Foam Molding ๊ฐœ๋ฐœํ•˜์˜€์Šต๋‹ˆ๋‹ค(๊ทธ๋ฆผ 1 ์ฐธ์กฐ). ์ด ๊ณต์ •์€ ํด๋ฆฌ๋จธ์˜ ์‚ฌ์ถœ ์„ฑํ˜•์œผ๋กœ ๊ฐœ๋ฐœ๋˜์—ˆ์œผ๋ฉฐ ๋”ฐ๋ผ์„œ ์ปดํŒฉํŠธํ•œ ์ธต์„ ๊ฐ€์ง„ ๋ณต์žกํ•œ ํผ์„ ๋น„์šฉ ํšจ์œจ์ ์œผ๋กœ ๋Œ€๋Ÿ‰ ์ƒ์‚ฐ์— ์ ํ•ฉํ•ฉ๋‹ˆ๋‹ค. ์ด ๋…ธํŠธ์— ์„ค๋ช… ๋œ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ธฐ๋ฒ•์€ ํ”„๋กœ์„ธ์Šค ๋งค๊ฐœ ๋ณ€์ˆ˜๋ฅผ ์„ ํƒํ•˜๋Š”๋ฐ ๋„์›€์„ ์ฃผ๊ธฐ ์œ„ํ•œ ๋ชจ๋ธ๋งํ”„๋กœ์„ธ์Šค๋ฅผ ํ™•์ธํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

Figure 1. Cross section of an aluminum integral foam with a compact skin, a transition region with decreasing relative density and smaller pores, as well as a foamed core.

Aluminum Integral Foam Molding Technology

์ผ์ •๋Ÿ‰์˜ ๋ฐœํฌ์ œ (์ˆ˜์†Œํ™” ๋งˆ๊ทธ๋„ค์Š˜, MgH2)๊ฐ€ ๋Ÿฌ๋„ˆ ์‹œ์Šคํ…œ์— ๋ฐฐ์น˜๋˜๊ณ  ์ƒท ์ฑ”๋ฒ„๋Š” ์•Œ๋ฃจ๋ฏธ๋Š„ ์šฉ์œต๋ฌผ๋กœ ์ฑ„์›Œ์ง„๋‹ค (๊ณต์ •์€ ๊ทธ๋ฆผ 2์— ๋ฌ˜์‚ฌ๋˜์–ด ์žˆ์œผ๋ฉฐ, ๊ณต์ •์€ [3]์— ์ž์„ธํžˆ ์„ค๋ช…๋˜์–ด์žˆ๋‹ค). ํ”ผ์Šคํ†ค์ด ์ง„ํ–‰๋จ์— ๋”ฐ๋ผ, ๋ถ„๋ง์€ ๋‚œ๋ฅ˜ ๋ฐฉ์‹์œผ๋กœ ์ฃผํ˜•์— ์ด์†ก๋œ๋‹ค. ๊ธฐ์ˆ  ๋ณ€ํ˜• “๊ณ ์•• ์ผ์ฒดํ˜• ํผ ๋ชฐ๋”ฉ (HP-IFM)”์˜ ๊ฒฝ์šฐ ํ‘œ์ค€ ๋‹ค์ด์บ์ŠคํŒ… ๊ณต์ •์—์„œ ์•Œ ์ˆ˜ ์žˆ๋“ฏ์ด ์ด ๋ถ€ํ’ˆ์€ ์ฃผ๋ณ€์˜ ๋†’์€ ์••๋ ฅ์—์„œ ์™„์ „ํžˆ ์ฑ„์›Œ์ ธ ์šฐ์ˆ˜ํ•œ ํ‘œ๋ฉด ํ’ˆ์งˆ์„ ๋ณด์žฅํ•ฉ๋‹ˆ๋‹ค. ํ…œํผ๋ง๋œ ๊ธˆํ˜• ํ‘œ๋ฉด์—์„œ ์‹œ์ž‘ํ•˜์—ฌ ์šฉ์œต๋ฌผ์€ ์ผ์ฒดํ˜•์œผ๋กœ ๊ณ ํ˜•ํ™”๋˜๊ธฐ ์‹œ์ž‘ํ•ฉ๋‹ˆ๋‹ค. ๋ช‡ ๋ฐ€๋ฆฌ ์ดˆ๊ฐ€ ์ง€๋‚˜๋ฉด ๊ธˆํ˜•์€ ์ฝ”์–ด ํ’€๋Ÿฌ ์‹œ์Šคํ…œ ์œ„์— ์—ด๋ฆฌ๊ณ  ๋ถ€ํ”ผ๋Š” ๊ตญ๋ถ€์ ์œผ๋กœ ์ฆ๊ฐ€ํ•˜๊ณ  ์••๋ ฅ์€ ๊ฐ์†Œํ•˜์—ฌ ์—ด๋ถ„ํ•ด ๋ฐ ์ˆ˜์†Œํ™” ๋งˆ๊ทธ๋„ค์Š˜ ์ž…์ž์˜ ์ˆ˜์†Œ ๋ฐฉ์ถœ๋กœ ์ธํ•ด ์—ฌ์ „ํžˆ ๋ฐ˜๊ณ ์ฒด ๋‚ด๋ถ€ ์˜์—ญ์—์„œ ๊ธฐ๊ณต ์„ฑ์žฅ์„ ์‹œ์ž‘ํ•ฉ๋‹ˆ๋‹ค. ๋ชจ๋“  ๋ฐœํฌ์ œ ์ž…์ž๋Š” ์ด์›ƒํ•˜๋Š” ๊ณต๊ทน์˜ ์—ญ์••์— ์˜ํ•ด ๋ฉˆ์ถ”์–ด ์งˆ ๋•Œ๊นŒ์ง€ ๊ณต๊ทน์˜ ์„ฑ์žฅ์„ ์ง€์†ํ•ฉ๋‹ˆ๋‹ค. ๋ฐœํฌ๋œ ์ž…์ž์˜ ๋ฒฝ์€ ์•Œ๋ฃจ๋ฏธ๋Š„ ํ•ฉ๊ธˆ์˜ ์‘๊ณ ๋œ ์ž…์ž์— ์˜ํ•ด ์•ˆ์ •ํ™”๊ฐ€ ๋˜๋ฉฐ ์ด๋ฅผ endogenous stabilization์ด๋ผ๊ณ  ํ•ฉ๋‹ˆ๋‹ค[4].

Figure 2. Schematic process cycle of โ€œHigh Pressure Integral Foam Molding (HP-IFM)โ€ of aluminum.

์ฃผ์กฐ ๋ถ€ํ’ˆ์˜ ์ „์ฒด ๋ถ€ํ”ผ์—์„œ ๊ท ์ผํ•œ ํ˜•ํƒœ์— ๋Œ€ํ•œ ์ „์ œ์กฐ๊ฑด์€ ๋ถ„ํ•ด ์ˆœ๊ฐ„์˜ ์–‘ํ˜ธํ•œ ์ž…์ž๋ถ„ํฌ์ž…๋‹ˆ๋‹ค. ๋˜ํ•œ, ๋ฐœํฌ์ œ ์œ ์ž…์‹œ์˜ ์šฉ์œต๋ฌผ์˜ ์˜จ๋„๋Š” ์ˆ˜์†Œํ™” ๋งˆ๊ทธ๋„ค์Š˜์˜ ๋ถ„ํ•ด๋ฅผ ๊ฒฐ์ •ํ•˜๋ฉฐ (๊ทธ๋ฆผ 3 ์ฐธ์กฐ), ๊ฒŒ๋‹ค๊ฐ€ ๋ฐœํฌ์‹œ solid phase์˜ ์–‘์„ ๊ฒฐ์ •ํ•œ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ๊ณ ์ƒ์˜ ์–‘์ด ๋„ˆ๋ฌด ๋งŽ์œผ๋ฉด ๊ธฐ๊ณต์˜ ๊ฐ•์„ฑ์ด ์ฆ๊ฐ€ํ•˜๊ณ  ํ˜„์ƒ ๊ธฐ๊ณต์˜ ๊ตฌํ˜•ํ™”๋ฅผ ๋ฐฉํ•ดํ•˜์—ฌ ๊ตฌ์กฐ๊ฐ€ ํŒŒ๊ดด๋œ๋‹ค [2].

Microcellular Aluminum Integral Foams โ€“ Approaching the Process Limits

์ผ์ฒดํ˜• ๋ฐœํฌ ์„ฑํ˜• ๊ณต์ •์‹œ๋ฎฌ๋ ˆ์ด์…˜์€ ์ƒˆ๋กœ์šด ๋ถ€ํ’ˆ ์„ค๊ณ„์˜ ๋ชฐ๋“œ ์ถฉ์ง„ ํŠน์„ฑ์„ ์กฐ์‚ฌํ•˜๋Š” ๋ฐ ๋„์›€์ด ๋  ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ์ž…์ž ์นจํˆฌ๋„ ์˜ˆ์ธกํ•˜๊ณ  ๋น„์šฉ์„ ์ ˆ์•ฝํ•  ์ˆ˜ ์žˆ๊ฒŒ ๋ฐœํฌ ๊ณต์ • ์กฐ๊ฑด์„ ๊ฒฐ์ •ํ•  ์ˆ˜ ์žˆ๋Š” ๊ฐ•๋ ฅํ•œ ๋„๊ตฌ์ž…๋‹ˆ๋‹ค. ํ˜„์žฌ ์—ฐ๊ตฌ์˜ ๋ชฉํ‘œ๋Š” ๋‹ค๊ณต์„ฑ ์ˆ˜์ค€์„ ์ผ์ •ํ•˜๊ฒŒ ์œ ์ง€ํ•˜๋ฉด์„œ ๊ธฐ๊ณต ํฌ๊ธฐ๋ฅผ ์ค„์ด๋Š” ๊ฒƒ์ž…๋‹ˆ๋‹ค. ์ „์‚ฐ ์œ ์ฒด ์—ญํ•™ (CFD) ์‹œ๋ฎฌ๋ ˆ์ด์…˜์€ ๊ฐ€๋Šฅํ•œ ํ•œ ํ˜„์žฌ์˜ ํ”„๋กœ์„ธ์Šค ํ•œ๊ณ„์— ๊ฐ€๊น๊ฒŒ ์ ‘๊ทผํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ๋ฐœํฌ ํ˜•ํƒœ์˜ ๊ฐœ์„ ์€ ๊ธฐ๊ณ„์  ๋ฌผ์„ฑ์—์„œ ๊ท ์งˆ ํ•œ ๊ตฌ์กฐ๋ฅผ ์œ ๋„ ํ• ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ๊ธฐ๊ณ„์  ์„ฑ์งˆ์— ์˜ํ•ด ๋” ์–‡์€ ๋ถ€ํ’ˆ์˜ ์ƒ์‚ฐ์ด ๊ฐ€๋Šฅํ•  ๊ฒƒ์ž…๋‹ˆ๋‹ค. ์ด ๋ชฉ์ ์€ ์šฉ์œต๋ฌผ ๋‚ด์—์„œ์˜ ๋†’์€ ์ž…์ž ๋ถ„ํฌ ๋ฐ€๋„์™€ ๋™์‹œ์— ์‘์ง‘ ํ˜„์ƒ์˜ ๊ฐ์†Œ์™€ ํ•จ๊ป˜ ์™„์ „ํžˆ ์•ˆ์ •๋œ ๊ธฐ๊ณต ์„ฑ์žฅ์— ์˜ํ•ด์„œ๋งŒ ๋‹ฌ์„ฑ ๋  ์ˆ˜ ์žˆ๋‹ค.

Figure 3. Schematic curves of decomposition of magnesium hydride as a function of the melt temperature, calculated by the Johnson-Mehl-Avrami approach [2]

Figure 4. Adjustment of heat transfer by comparisons of a real solidification curve (black) to the growth rate of the solidified skin in simulation (red).

Adapting the Simulation Parameters to Practical Integral Foam Molding Experiments

์ž…์ž ๊ฑฐ๋™์ด๋‚˜ ์˜จ๋„์žฅ์— ๋Œ€ํ•œ ์‹ ๋ขฐ์„ฑ ์žˆ๋Š” ์˜ˆ์ธก์„ ์œ„ํ•œ CFD ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ์œผ๋ ค๋ฉด ์‹ค์ œ ์‹คํ—˜๊ณผ ์ผ์น˜ํ•˜๋„๋ก ๋งค๊ฐœ ๋ณ€์ˆ˜๋ฅผ ๊ฒฐ์ •ํ•ด์•ผ ํ•ฉ๋‹ˆ๋‹ค. ์ด๋ฅผ ์œ„ํ•ด, 30-130 ms์˜ ์ง€์—ฐ ์‹œ๊ฐ„์„ ๊ฐ–๋Š” ์ผ์ฒดํ˜• ๋ฐœํฌ ๋ถ€ํ’ˆ์„ ์ œ์ž‘ํ•˜์˜€์œผ๋ฉฐ ์„ฑํ˜• ํŒฝ์ฐฝ ๋ฐ ๊ธฐ๊ณต ์„ฑ์žฅ ๊ฐœ์‹œ ์ˆœ๊ฐ„์— ๊ณ ์ƒ๋ถ„์œจ ๋•Œ๋ฌธ์— ๋ฐœํฌ ํ˜•์„ฑ์ด ๋ถˆ๊ฐ€๋Šฅํ•œ ๋‹ค๋ฅธ ๋ฐ€๋„์˜ ํ˜•์ƒ์„ ๋งŒ๋“ค์—ˆ์Šต๋‹ˆ๋‹ค. ์—ด ์ „๋‹ฌ ๊ณ„์ˆ˜ (์™„์ „ํ•œ ์•ก์ฒด ์šฉ์œต๋ฌผ๊ณผ ์™„์ „ ์‘๊ณ ๋œ ์šฉ์œต๋ฌผ)๋ฅผ ๋ณ€ํ™”์‹œ์ผœ ํ•ฉ๊ธˆ AlSi9Cu3 (Fe)์˜ ์ฃผ์กฐ ์‚ฌ์ดํด์„ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ํ•˜๋ฉด ์‘๊ณ  ๊ณก์„ ์„ ์ ์šฉํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์ด๋Ÿฌํ•œ ๋ชฉํ‘œ๋ฅผ ๋‹ฌ์„ฑํ•˜๊ธฐ ์œ„ํ•ด ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ํ”ผ์Šคํ†ค ์ด๋™์ด ์‹œ์ž‘๋˜๊ธฐ ์ „์— ์‹ค์ œ ์˜จ๋„๋ถ„ํฌ๋ฅผ ๋ฌ˜์‚ฌํ•ด์•ผ ํ•ฉ๋‹ˆ๋‹ค. ์˜จ๋„๋Š” ๋ฐฐ์น˜๋œ ์—ด์— ์˜ํ•ด ์ˆ ์ฑ”๋ฒ„์—์„œ ๊ตญ๋ถ€์ ์œผ๋กœ ์ธก์ •๋˜์—ˆ์œผ๋ฉฐ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๋‚ด ์‹ค์ œ ๋ฐ์ดํ„ฐ์™€ ์ž˜ ์ผ์น˜ํ•˜์—ฌ ์„ฑ๊ณต์ ์œผ๋กœ ๋ฌ˜์‚ฌ ๋  ์ˆ˜ ์žˆ์—ˆ์Šต๋‹ˆ๋‹ค. ๊ธˆํ˜• ์ถฉ์ง„ ์ค‘์— ๊ธˆํ˜• ํ‘œ๋ฉด์—์„œ ์˜จ๋„ ์ธก์ •์„ ์ฐธ์กฐ ํ•  ์ˆ˜๋„ ์žˆ์Šต๋‹ˆ๋‹ค. ์‹œ๊ฐ„ ๊ฒฝ๊ณผ์— ๋”ฐ๋ฅธ ๊ทธ ๋ณ€ํ™”๋Š” ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฒฐ๊ณผ์™€ ์ž˜ ์ผ์น˜ํ•ฉ๋‹ˆ๋‹ค.

ํ‘œ๋ฉด์žฅ๋ ฅ์ด๋‚˜ ์‘๊ณ  ํ•ญ๋ ฅ๊ณ„์ˆ˜์™€ ๊ฐ™์€ ์šฉ์œต์˜ ์œ ๋™์„ ์ •์˜ํ•˜๋Š” ์ถ”๊ฐ€ ๋งค๊ฐœ ๋ณ€์ˆ˜ ๋‹จ๊ณ„์—์„œ๋Š” ๋‹ค๋ฅธ ์„ค์ •๊ณผ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ๋น„๊ตํ•˜์—ฌ ์กฐ์ •๋ฉ๋‹ˆ๋‹ค. ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๋‚ด์—์„œ ์šฉ์œต๋ฌผ์˜ ํ๋ฆ„์ด ์‹ค์ œ ์‹œํ—˜๊ณผ ์ผ์น˜ํ•˜๋Š” ์ฆ‰์‹œ ๋งค๊ฐœ ๋ณ€์ˆ˜๊ฐ€ ์„ค์ •๋ฉ๋‹ˆ๋‹ค

Figure 5. Adjustment of melt flow defining parameters such as the surface tension by comparisons of real experiments (left) to simulations (right)

๋ƒ‰๊ฐ ๋ฐ ์šฉํ•ด ํ๋ฆ„ ํŠน์„ฑ์„ ์ •์˜ํ•œ ํ›„ ์ž…์ž์˜ ์œ ์ž…์„ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ํ•ฉ๋‹ˆ๋‹ค. ์ž…์ž / ์œ ์ฒด ์˜ ์ƒํ˜ธ ์ž‘์šฉ์— ๋Œ€ํ•œ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ์กฐ์ •ํ•˜๊ธฐ ์œ„ํ•ด ๋งค๊ฐœ ๋ณ€์ˆ˜๊ณ„์ˆ˜์˜ X ์„  ์ƒ˜ํ”Œ๊ณผ ๋น„๊ต๊ฐ€ ๋˜๋ฉฐ ๊ตฌ๋ฆฌ์„  ์ž…์ž์—์„œ๋Š” ์ˆ˜์‚ฐํ™” ๋งˆ๊ทธ๋„ค์Š˜๋ณด๋‹ค ๋†’์€ ํ•จ๋Ÿ‰ ์ž…์ž๊ฐ€ ์ ์šฉ๋ฉ๋‹ˆ๋‹ค. (๊ทธ๋ฆผ 6 ์ฐธ์กฐ). ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฒฐ๊ณผ๋Š” ์‹คํ—˜๊ณผ ๋งค์šฐ ์ž˜ ์–ด์šธ๋ฆฌ๋ฏ€๋กœ ํ”„๋กœ์„ธ์Šค ๋งค๊ฐœ ๋ณ€์ˆ˜์˜ ํ•จ์ˆ˜๋กœ์„œ ์ž…์ž ๋ถ„ํฌ์˜ ์‹ ๋ขฐํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

Figure 6. Adjustment of parameters influencing particle/melt-interactions by comparisons of x-rayed samples left); produced by the entrainment of copper particles) to simulations (right)

Conclusion

์ „์ฒด์ ์œผ๋กœ FLOW-3D๋Š” ์‹ค์ œ ์ƒ์‚ฐ ์ „์— ์ƒˆ๋กœ์šด ๋ถ€ํ’ˆ ์ œ์กฐ์˜ ์ž ์žฌ์  ๊ฒฐํ•จ์„ ์กฐ์‚ฌํ•˜๋Š” ์ค‘์š”ํ•œ ์ˆ˜๋‹จ์ด ๋  ์ˆ˜ ์žˆ๋‹ค๋Š” ๊ฒƒ์„ ์ฆ๋ช…ํ•  ์ˆ˜ ์žˆ์—ˆ์Šต๋‹ˆ๋‹ค. ์ด๋Ÿฌํ•œ ๋ฐฉ์‹์œผ๋กœ, ์ฐจ๊ฐ€์šด ํ๋ฆ„ ๋˜๋Š” ๋ฐ๋“œ ์กด์ด ์—†๋Š” ์„ฑ๊ณต์ ์ธ ์ถฉ์ „ ๋ฐ ๋ฐœํฌ์ œ ๋ถ„ํฌ๊ฐ€ ๋ณด์žฅ ๋  ์ˆ˜ ์žˆ๋‹ค. ๋˜ํ•œ, ์˜ˆ์ƒ๋˜๋Š” ์˜จ๋„ ํ•„๋“œ์˜ ์ •ํ™•ํ•œ ๋ฌ˜์‚ฌ๋กœ, ์ˆ˜์†Œํ™” ๋งˆ๊ทธ๋„ค์Š˜์˜ ๋ถ„ํ•ด ํŠน์„ฑ ๋ฐ ๊ธฐ๊ณตํ˜•์„ฑ์„ ์˜ˆ์ธกํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์ด๋Š” ์ผ์ฒดํ˜• ํผ ๊ตฌ์กฐ์™€ ๊ด€๋ จํ•˜์—ฌ ๊ณ ๊ฐ์˜ ์š”๊ตฌ๋ฅผ ์ถฉ์กฑ์‹œํ‚ค๊ธฐ ์œ„ํ•œ ๊ณต์ • ๋ณ€์ˆ˜๋ฅผ ์ •์˜ ํ•  ์ˆ˜ ์žˆ๋Š” ๊ฐ€๋Šฅ์„ฑ์„ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค

1ย Criterion is the solid phase fraction where the shear strength and therefore the resistance to pore evolution increases drastically.

References

[1]ย C. Kรถrner, R. F. Singer,ย Adv. Eng. Mater.ย 2000,ย 2 (4), pp. 159-165.
[2]ย C. Kรถrner, inย Integral Foam Molding of Light Metals โ€“ Technology, Foam Physics and Foam Simulation, Springer, Berlin, Heidelberg, Germanyย 2008.
[3]ย H. Wiehler, C. Kรถrner, R. F. Singer,ย Adv. Eng. Mater.ย 2008,ย 10 (3), pp. 171-178.
[4]ย J. Hartmann, A. Trepper, C. Kรถrner,ย Adv. Eng. Mater.ย 2011,ย 13 (11), pp. 1050-1055.

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Integration of CFD Analysis into Die-Cast Process Design

Integration of CFD Analysis into Die-Cast Process Design

This article was contributed by Alex Reikher, Ph.D., ofย Shiloh Industries

 

์˜ค๋Š˜๋‚ ์˜ ์กฐ์ง์€ ์˜ค๋ž˜๋˜๊ณ , ์ž˜ ๊ตฌ์ถ•๋˜์—ˆ์œผ๋ฉฐ, ๋น ๋ฅด๊ฒŒ ์„ฑ์žฅํ•˜๋Š” ์ƒˆ๋กœ์šด ๊ฒฝ์ œ๋กœ๋ถ€ํ„ฐ ์ ์  ๋” ๋งŽ์€ ์••๋ฐ•์„ ๋ฐ›๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์‹œ์žฅ์˜ ์„ธ๊ณ„ํ™”๋Š” ๊ธฐ์—…๋“ค์ด ๊ทธ๋“ค์˜ ๊ฒฝ์Ÿ ์šฐ์œ„๋ฅผ ์œ ์ง€ํ•˜๊ธฐ ์œ„ํ•œ ๋ฐฉ์•ˆ์„ ์ฐพ๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์ธํ„ฐ๋„ท ๊ธฐ์ˆ ์˜ ๊ธ‰๊ฒฉํ•œ ๋ฐœ์ „๊ณผ ์ž์œ ๋กœ์šด ์ •๋ณด ๊ตํ™˜์€ ๊ธฐ์—…์ด ๊ฒฝ์Ÿ ์šฐ์œ„๋ฅผ ์œ ์ง€ํ•  ์ˆ˜ ์žˆ๋Š” ๊ธฐ๊ฐ„์„ ๋‹จ์ถ•ํ•˜๋Š” ์š”์ธ๋“ค์ž…๋‹ˆ๋‹ค. ์กฐ์ง์ด ์—…๊ณ„์—์„œ ์„ ๋‘ ์ž๋ฆฌ๋ฅผ ์œ ์ง€ํ•  ์ˆ˜ ์žˆ๋Š” ๋ฐฉ๋ฒ• ์ค‘ ํ•˜๋‚˜๋Š” ํ˜์‹ ๊ธฐ์ˆ ์„ ์‹œ์žฅ์— ๋„์ž…ํ•˜๋Š”๋ฐ ํ•„์š”ํ•œ ์‹œ๊ฐ„์„ ์ค„์ด๋Š” ๊ฒƒ์ž…๋‹ˆ๋‹ค. ๋‹ค์ด์บ์ŠคํŒ… ๊ณต์ • ๊ฐœ๋ฐœ ์‹œ๊ฐ„ ๋‹จ์ถ•์ด๋ผ๋Š” ๋ชฉํ‘œ๋ฅผ ๊ฐ€์ง€๊ณ , FLOW-3D๋กœ ๋ชจ๋ธ๋งํ•˜๋Š” ๊ฒƒ์€ Shiloh Industries์˜ ์—”์ง€๋‹ˆ์–ด๋ง ๋ถ€์„œ์˜ ํ•ต์‹ฌ ๋ถ€๋ถ„์ด ๋˜์—ˆ์Šต๋‹ˆ๋‹ค.

์šฐ๋ฆฌ๋Š” 7๋…„์ด ๋„˜๊ฒŒ ๋‹ค์ด์บ์ŠคํŒ… ๋ชจ๋ธ๋ง ๋„๊ตฌ์ธ FLOW-3D๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ์˜ˆ์ธก ๊ฒฐ๊ณผ์˜ ์ •ํ™•์„ฑ๊ณผ ์‹ ๋ขฐ์„ฑ์„ ์ž…์ฆํ•  ์ˆ˜ ์žˆ์—ˆ์Šต๋‹ˆ๋‹ค. ์ด๋Ÿฌํ•œ ๊ฒฐ๊ณผ๋Š” ์‹ค์ œ ์ฃผ์กฐ ๊ฒฐํ•จ, ์˜จ๋„ ๋ถ„ํฌ ๋ฐ ํ๋ฆ„ ํŒจํ„ด๊ณผ ์ข‹์€ ์ƒ๊ด€ ๊ด€๊ณ„๋ฅผ ๊ฐ€์ง€๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.

Shiloh Industries์˜ ์ƒˆ๋กœ์šด ํ”„๋กœ์ ํŠธ๋Š” ๊ฒŒ์ดํŠธ์™€ ๋Ÿฌ๋„ˆ์˜ ์ปจ์…‰๊ฐœ๋ฐœ์—์„œ ์‹œ์ž‘๋˜๋ฉฐ ๋Œ€๋žต์ ์ธ slow shot profile, shot ์‹ค๋ฆฐ๋” ์ง๊ฒฝ, ์ตœ์†Œ ํ™˜๊ธฐ ์˜์—ญ ๋ฐ ํ”„๋กœ์„ธ์Šค์••๋ ฅ ์š”๊ตฌ ์กฐ๊ฑด์‚ฌํ•ญ์ด ํ•„์š”ํ•ฉ๋‹ˆ๋‹ค. ์œ ๋™๋ถ„์„์€ ์ตœ์ƒ์˜ ์œ ๋™ํŒจํ„ด์„ ๊ฐœ๋ฐœํ•˜๊ณ  ๊ณต๊ธฐ ์œ ์ž…์„ ์ตœ์†Œํ™”ํ•˜๊ธฐ ์œ„ํ•ด ์ˆ˜ํ–‰๋ฉ๋‹ˆ๋‹ค. ๋Ÿฌ๋„ˆ์„ค๊ณ„๊ฐ€ ์™„๋ฃŒ๋œ ํ›„ ์—ด ๋ถ„์„์„ ์‹คํ–‰ํ•˜์—ฌ waterline ๋ฐฐ์น˜๋ฅผ ์ตœ์ ํ™”ํ•ฉ๋‹ˆ๋‹ค

Figure 1: The casting part

FLOW-3D์˜ ๋งค๋ ฅ์ ์ธ ํŠน์ง•์€ ํ”„๋กœ์„ธ์Šค์˜ ๋‹จ๊ณ„๋งˆ๋‹ค ๋ณ„๋„์˜ ๋ถ„์„์„ ์‹คํ–‰ํ•  ์ˆ˜ ์žˆ๋Š” ๊ธฐ๋Šฅ์ž…๋‹ˆ๋‹ค. ์ด๋ฅผ ํ†ตํ•ด ์˜ฌ๋ฐ”๋ฅธ shot ํ”„๋กœํŒŒ์ผ, ๊ฒŒ์ดํŠธ ๋””์ž์ธ ๋ฐ ์›Œํ„ฐ ๋ผ์ธ ์œ„์น˜๋ฅผ ์„ ํƒํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์™„์ „ํžˆ ๊ฒฐํ•ฉ๋œ ํ๋ฆ„๊ณผ ์—ด ๋ถ„์„์€ ๋ชจ๋“  ๊ตฌ์„ฑ ์š”์†Œ๊ฐ€ ์ž˜ ์ž‘๋™ํ•˜๋Š”์ง€ ํ™•์ธํ•˜๊ธฐ ์œ„ํ•ด ํ•œ๋ฒˆ๋งŒ ์ˆ˜ํ–‰ํ•˜๋ฉด ๋ฉ๋‹ˆ๋‹ค. GMO(์›€์ง์ด๋Š” ๋ฌผ์ฒด)๋ชจ๋ธ์„ ๋„์ž…ํ•˜๋ฉด ์ €์† ์ดฌ์˜๋‹จ๊ณ„์—์„œ ์ƒท ์Šฌ๋ฆฌ๋ธŒ์˜ ์ตœ๊ณ  ํ”Œ๋Ÿฐ์ € ์†๋„๋ฅผ ์„ค์ •ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์—ฌ๊ธฐ์— ์„ค๋ช…๋œ ํ”„๋กœ์ ํŠธ์—์„œ ๋ถ€ํ’ˆ ์„ค๊ณ„๋Š” ํ˜„์žฌ ์ƒ์‚ฐ ๋ฒ„์ „์—์„œ ํฌ๊ฒŒ ๋ณ€๊ฒฝ๋˜์—ˆ์Šต๋‹ˆ๋‹ค.

๋ถ€ํ’ˆ ํ˜•์ƒ์€ ๊ทธ๋ฆผ 1์— ๋‚˜์™€ ์žˆ์Šต๋‹ˆ๋‹ค. ์š”๊ตฌ๋˜๋Š” ์ฃผ์กฐ ํ’ˆ์งˆ์„ ๋ณด์žฅํ•˜๊ธฐ ์œ„ํ•ด ์ถฉ์ „ ๋ฐ ์‘๊ณ  ๊ณผ์ •์—์„œ ์–ด๋ ค์›€์ด ์žˆ์Šต๋‹ˆ๋‹ค. ์˜ˆ๋ฅผ ๋“ค์–ด, ์‘๊ณ  ๋ฐ ํ›„์† ๋ƒ‰๊ฐ ์ค‘์— ๋†’์€ ๋‚ด๋ถ€ ์‘๋ ฅ์ด ๋ฐœ์ƒํ•˜์—ฌ ๋ฐ”๋žŒ์งํ•˜์ง€ ์•Š์€ ๋ณ€ํ˜•๋ ฅ์ด ๋ฐœ์ƒํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

์„ค๊ณ„ ํ”„๋กœ์„ธ์Šค์˜ ์ดˆ๊ธฐ ๋‹จ๊ณ„์—์„œ ํ‰๊ฐ€๋ฅผ ์œ„ํ•ด 21 ๊ฐœ์˜ ๋Ÿฌ๋„ˆ ๊ตฌ์„ฑ์ด ์ œ์•ˆ๋˜์—ˆ์Šต๋‹ˆ๋‹ค. FLOW-3D๋Š” ๋ชจ๋“  ๋ณ€ํ˜•์„ ํ‰๊ฐ€ํ•˜๋Š”๋ฐ ์‚ฌ์šฉ๋˜์—ˆ์Šต๋‹ˆ๋‹ค. ๊ทธ๋ฆผ 2๋Š” ๊ณ ๋ ค๋œ ์ฃผ ๋””์ž์ธ ์ค‘ ์ผ๋ถ€๋ฅผ ๋ณด์—ฌ์ค๋‹ˆ๋‹ค.

Figure 2: Three of the twenty-one runner systems modeled in FLOW-3D

๋Ÿฌ๋„ˆ ์‹œ์Šคํ…œ์˜ ์ดˆ๊ธฐ ํ‰๊ฐ€ ๊ธฐ์ค€์€ ์œ ๋™ํŒจํ„ด์ด์—ˆ์Šต๋‹ˆ๋‹ค. ์„ค๊ณ„ ํ”„๋กœ์„ธ์Šค์˜ ์ฒซ ๋ฒˆ์งธ ๋‹จ๊ณ„๊ฐ€ ์™„๋ฃŒ๋œ ํ›„, ์ถ”๊ฐ€ ํ‰๊ฐ€๋ฅผ ์œ„ํ•ด ๊ทธ๋ฆผ 3์— ํ‘œ์‹œ๋œ ๋‘ ๊ฐ€์ง€์˜ ๋Ÿฌ๋„ˆ ์„ค๊ณ„๊ฐ€ ์ถ”๊ฐ€ํ‰๊ฐ€๋ฅผ ์œ„ํ•ด ์ฑ„ํƒ๋˜์—ˆ์Šต๋‹ˆ๋‹ค.

Figure 3: Runners selected for further evaluation based on the flow patternย 

์‘๊ณ  ๋ถ„์„์€ ๋‘ ๋ฒˆ์งธ ๋‹จ๊ณ„์—์„œ ํ‰๊ฐ€ํ•˜์˜€์Šต๋‹ˆ๋‹ค. ์ฃผ์กฐ๋ฌผ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ๋‹ค์ด์˜ ์˜จ๋„ ๋ถ„ํฌ๋„ ๋ถ„์„ํ•˜์˜€์Šต๋‹ˆ๋‹ค. ๊ทธ๋ฆผ 4๋Š” ์ตœ์ข… ๋Ÿฌ๋„ˆ ์‹œ์Šคํ…œ ์„ค๊ณ„๋ฅผ ํ•˜์—ฌ ์‘๊ณ ๊ฐ€ ๋๋‚  ๋•Œ ๋ถ€ํ’ˆ์˜ ์˜จ๋„ ๋ถ„ํฌ๋ฅผ ๋ณด์—ฌ์ค๋‹ˆ๋‹ค.

Figure 4: Different views of the final runner system chosen based on temperature distribution in the part at the end of solidification

Conclusion

7๋…„์ด ๋„˜๋Š” ๊ธฐ๊ฐ„ ๋™์•ˆ ์šฐ๋ฆฌ๋Š” ๋‹ค์ด ์บ์ŠคํŒ…๊ณต์ • ๋„๊ตฌ์ธ FLOW-3D๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ์˜ˆ์ธก ๊ฒฐ๊ณผ์˜ ์ •ํ™•์„ฑ๊ณผ ์‹ ๋ขฐ์„ฑ์„ ์ž…์ฆํ•  ์ˆ˜ ์žˆ์—ˆ์Šต๋‹ˆ๋‹ค. ์ด๋Ÿฌํ•œ ๊ฒฐ๊ณผ๋Š” ์‹ค์ œ ์ฃผ์กฐ ๊ฒฐํ•จ, ์˜จ๋„ ๋ถ„ํฌ ๋ฐ ํ๋ฆ„ ํŒจํ„ด๊ณผ ์ข‹์€ ์ƒ๊ด€ ๊ด€๊ณ„๋ฅผ ๊ฐ€์ง€๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค.

์šฐ๋ฆฌ๋Š” ๋‹ค์ด ์บ์ŠคํŒ… ๊ณต์ • ์‹œ๋ฎฌ๋ ˆ์ด์…˜๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ์ผ๋ฐ˜์ ์ธ CFD ๋ชจ๋ธ๋ง๋„ FLOW-3D๋ฅผ ์‚ฌ์šฉํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ํ”„๋กœ์„ธ์Šค ๊ฐœ๋ฐœ ์ค‘์— ์„ค๊ณ„ ๋ณ€๊ฒฝ์„ ๊ณ ๊ฐ์—๊ฒŒ ๊ถŒ์žฅํ•ด์•ผ ํ•˜๋Š” ๊ฒฝ์šฐ FLOW-3D๋ฅผ ์‚ฌ์šฉํ•˜๋ฉด ์ด๋Ÿฌํ•œ ๋ณ€๊ฒฝ ์‚ฌํ•ญ์„ ์‹ ์†ํ•˜๊ณ  ์•ˆ์ •์ ์œผ๋กœ ํ‰๊ฐ€ํ•  ์ˆ˜ ์žˆ์œผ๋ฉฐ ์ œ์•ˆ๋œ ๋ณ€๊ฒฝ ์‚ฌํ•ญ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ๋ณ€๊ฒฝ์‚ฌํ•ญ์ด ๋ถ€ํ’ˆ ์„ฑ๋Šฅ์— ๋ฏธ์น  ์˜ํ–ฅ์„ ๊ณ ๊ฐ์—๊ฒŒ ์ œ์‹œํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

 

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Improving High Pressure Die Casting Designs

Improving High Pressure Die Casting Designs

The content for this article was contributed by Mark Littler ofย Littler Diecast Corporation.

๊ณ ์•• ๋‹ค์ด์บ์ŠคํŒ… ์ƒ์‚ฐ ์—…์ฒด์ธ Littler Diecast Corporation์€ ์ตœ๊ทผ ์šฐ์ฃผ ํ•ญ๊ณต๋ถ„์•ผ์—์„œ ์ „๊ธฐ ์Šค์œ„์น˜ ํ”„๋ ˆ์ž„์„ ์žฌ์„ค๊ณ„ํ•˜๊ณ  ๋‹ค์ด์บ์ŠคํŒ…ํ•  ์ˆ˜ ์žˆ์—ˆ์Šต๋‹ˆ๋‹ค. ์ด์ „์—๋Š” ๋‹ค๋ฅธ ์ œ์กฐ์—…์ฒด์—์„œ ์ƒ์‚ฐํ–ˆ๊ธฐ ๋•Œ๋ฌธ์— ๋งŽ์€ ์ˆ˜์˜ ์ฃผ์กฐ์— ๊ฒฐํ•จ ๋ฌธ์ œ๊ฐ€ ์žˆ์—ˆ๊ณ  ์Šคํฌ๋žฉ ๋น„์œจ์„ ๋‚ฎ์ถ”๊ธฐ ์œ„ํ•ด์„œ๋Š” ์ƒˆ๋กœ์šด ๋””์ž์ธ์ด ํ•„์š”ํ–ˆ์Šต๋‹ˆ๋‹ค. Littler Diecast๋Š” ๋ฌธ์ œ์— ๋Œ€ํ•œ ์‚ฌ์ „ ์ง€์‹์—†์ด ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ํ†ตํ•ด ๊ฒฐํ•จ์„ ์ฐพ์•„๋‚ผ ์ˆ˜ ์žˆ์Œ์„ ์ž…์ฆํ•  ์ˆ˜ ์žˆ์—ˆ์Šต๋‹ˆ๋‹ค. ์ด๊ฒƒ์€ ๊ณ ๊ฐ๋“ค์ด ๊ทธ๋“ค์—๊ฒŒ ์ผ์„ ๋งก๊ธธ ์ˆ˜ ์žˆ์„ ๋งŒํผ ์ถฉ๋ถ„ํ•œ ๊ฐ๋ช…์„ ์ฃผ์—ˆ์Šต๋‹ˆ๋‹ค.

Identifying the Problem

์Šค์œ„์น˜๋Š” A380 ์•Œ๋ฃจ๋ฏธ๋Š„์œผ๋กœ ๋งŒ๋“ค์–ด์กŒ์œผ๋ฉฐ ํฌ๊ธฐ๋Š” ์•ฝ 1ยผ x 1x 1/2 ์ž…๋‹ˆ๋‹ค. Littler Diecast๋Š” ๋‹ค๊ณต์„ฑ ๋ฌธ์ œ๊ฐ€ ํŒ๊ณผ ๊ตด๋š์˜ ๋‘ ๋ถ€๋ถ„์—์„œ ๋ฌธ์ œ๊ฐ€ ๋˜๊ณ  ์žˆ์Œ์„ ๋ฐœ๊ฒฌํ–ˆ์Šต๋‹ˆ๋‹ค. ์ด๋Š” ๊ณ ๊ฐ์ด ํ™•์ธํ•œ ๊ฒƒ์ž…๋‹ˆ๋‹ค. ๊ฐ ๋ถ€๋ถ„์ด ์ฑ„์›Œ์ง€๋Š” ๊ธธ ๋•Œ๋ฌธ์— ๊ตฌ๋ฉ์ด ๊ฐ ์œ„์น˜์— ํ˜•์„ฑ๋˜์—ˆ์Šต๋‹ˆ๋‹ค. ์ด ํ๋ฆ„์€ ๊ทธ๋ฆผ 1๊ณผ ๊ฐ™์ด ํ•˜๋‚˜์˜ ๊ฒŒ์ดํŠธ๋ฅผ ํ†ตํ•ด ๋“ค์–ด ์™€์„œ ํ”Œ๋ ˆ์ดํŠธ์˜ ๋จผ ์ชฝ์œผ๋กœ ๋ถ„์‚ฌํ•œ ๋‹ค์Œ ๋‹ค์‹œ ์ฑ„์›Œ์ง€๋ฉฐ ์กฐ๊ธฐ ์‘๊ณ ๋กœ ์ธํ•ด ํ•ญ์ƒ ๋‹ซํžˆ์ง€ ์•Š๋Š” ํ˜„์ƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฉ๋‹ˆ๋‹ค. ๊ตด๋š์—์„œ๋„ ๊ฐ™์€ ๋ฌธ์ œ๊ฐ€ ๋ฐœ๊ฒฌ๋˜์—ˆ์Šต๋‹ˆ๋‹ค. ์œ ์ฒด๊ฐ€ ๊ฐ€์žฅ ๋จผ ๊ณณ์œผ๋กœ ๋ถ„์‚ฌ๋˜๊ณ  ๋‹ค์‹œ ์ฑ„์›Œ์ง€๋ฉด ๋ถ„๋ฆฌ์„ ์„ ํ†ตํ•ด ๋ฐฐ์ถœ๋  ์ˆ˜ ์—†๋Š” ๊ฐ‡ํžŒ ๊ณต๊ธฐ๊ฐ€ ์ƒ์„ฑ๋ฉ๋‹ˆ๋‹ค.

X-ray of original part, showing porosity problems

Figure 1: Original design with a single gate. Plot colored by velocity magnitude..

Figure 2: Final design with three gates. Plot colored by velocity magnitude.

The Original Part Design

๊ธฐ์กด์˜ ๋ถ€ํ’ˆ ์„ค๊ณ„์—๋Š” ๋‹ค๋ฅธ ๋ฌธ์ œ๊ฐ€ ์žˆ์—ˆ์Šต๋‹ˆ๋‹ค. lock washer์™€ ํ”Œ๋ ˆ์ดํŠธ ๋ฐ‘๋ฉด์˜ ๋ฐ€๋ด‰๋œ ํ‘œ๋ฉด์ฃผ์œ„์— ๋งŽ์€ ๋‹ค์ด์˜ ์นจ์‹์ด ์žˆ์—ˆ์Šต๋‹ˆ๋‹ค. ๋ถ€ํ’ˆ ๋ชจ์„œ๋ฆฌ์— ์žˆ๋Š” overflow๋Š” ๊ฒฐํ•จ์ด ํ˜๋Ÿฌ ๋‚˜์˜ค๊ธฐ์— ์ถฉ๋ถ„ํ•˜์ง€ ์•Š์•˜์Šต๋‹ˆ๋‹ค.

FLOW-3D๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ Littler Diecast๋Š” ์œ ๋™์˜ ๊ฑฐ๋™์„ ๋ถ„์„ํ•˜๊ณ  ํ˜„์ƒ์„ ์‹œ๊ฐ์ ์œผ๋กœ ํ™•์ธํ•  ์ˆ˜ ์žˆ์—ˆ์Šต๋‹ˆ๋‹ค. ์ด๋Ÿฌํ•œ ๋ถ„์„์œผ๋กœ ์ธํ•ด ์กฐ๊ธฐ ์‘๊ณ ๋Š” ์–‡์€ ๋ถ€๋ถ„์˜ ๊ธ‰์† ๋ƒ‰๊ฐ์œผ๋กœ ์ธํ•ด ๋ฌธ์ œ๊ฐ€ ๋˜์—ˆ์Šต๋‹ˆ๋‹ค. ๋งŒ์•ฝ ๋ถ€ํ’ˆ๊ณผ ํ›„๋ฉด์„ ๊ฐ€๋กœ์งˆ๋Ÿฌ ์œ ๋™์ด ํ๋ฅธ๋‹ค๋ฉด, ์•ก์ฒด๋Š” ๋ƒ‰๊ฐ๋˜๊ณ  ๊ฐ‡ํžŒ ๊ณต๊ธฐ๋ฅผ ๋งŒ๋“ค์–ด ๋‚ผ ์‹œ๊ฐ„์ด ๋งŽ์ด ํ•„์š”ํ•ฉ๋‹ˆ๋‹ค. ๋งˆ์ง€๋ง‰์œผ๋กœ ๋œจ๊ฑฐ์šด ์•ก์ฒด๊ฐ€ ๋“ค์–ด์˜ค๋Š” ๊ฒƒ์ด ๊ฐ€์žฅ ์ข‹์Šต๋‹ˆ๋‹ค. ์ด๋ฅผ ์—ผ๋‘์— ๋‘๊ณ  Littler Diecast๋Š” ์—ฌ๋Ÿฌ ๊ฐ€์ง€ ์•„์ด๋””์–ด๋ฅผ ํ…Œ์ŠคํŠธํ•˜๊ณ  ๋ฌธ์ œ์˜ ๊ฐ€๋Šฅ์„ฑ์„ ์ตœ์†Œํ™”ํ•˜๊ณ  ํ”„๋กœ์„ธ์Šค ์ฐฝ์„ ๊ทน๋Œ€ํ™” ํ•œ ๋””์ž์ธ์„ ๋‹ฌ์„ฑํ–ˆ์Šต๋‹ˆ๋‹ค.

The Final Part Design

์„ธ ๊ฐ€์ง€ ์ฃผ์š” ์„ค๊ณ„ ๋ณ€๊ฒฝ ํ›„ ๋ถ€ํ’ˆ ํ’ˆ์งˆ์ด ํฌ๊ฒŒ ํ–ฅ์ƒ๋˜์—ˆ์Šต๋‹ˆ๋‹ค. ์ฒซ์งธ, ๊ฒŒ์ดํŠธ์™€ ๋Ÿฌ๋„ˆ๋ฅผ ์„ธ ๊ฐœ์˜ ๊ฒŒ์ดํŠธ๋ฅผ ํ†ตํ•ด ๋“ค์–ด๊ฐˆ ์ˆ˜ ์žˆ๋„๋ก ์žฌ์„ค๊ณ„ํ•˜์˜€์Šต๋‹ˆ๋‹ค. ์ด๊ฒƒ์€ ํฐ ์˜ค๋ฒ„ํ”Œ๋กœ๋ฅผ ์ƒ์„ฑํ•˜๋Š” ๋‘ ๋ฒˆ์งธ ์„ค๊ณ„ ๋ณ€๊ฒฝ๊ณผ ํ•จ๊ป˜, ์˜จ๋„๊ฐ€ ๊ฐ€์žฅ ๋†’์€ ์œ ์ฒด๊ฐ€ ๋งˆ์ง€๋ง‰์œผ๋กœ ๋“ค์–ด๊ฐˆ ์ˆ˜ ์žˆ์œผ๋ฉฐ ํ”Œ๋ ˆ์ดํŠธ์— ์—ญ๋ฅ˜๊ฐ€ ํ›จ์”ฌ ์ ๋‹ค๋Š” ๊ฒƒ์„ ์˜๋ฏธํ–ˆ์Šต๋‹ˆ๋‹ค. ์…‹์งธ, ์ง„์ž… ๊ฐ๋„์™€ ๊ฒŒ์ดํŠธ ์œ„์น˜๊ฐ€ ๋ณ€๊ฒฝ๋˜์–ด ์—ญ๋ฅ˜๋ฅผ ๋ฐฉ์ง€ํ•˜๋Š”๋ฐ ๋„์›€์ด ๋˜์—ˆ์Šต๋‹ˆ๋‹ค.

๋˜ํ•œ, ์ด ์ƒˆ๋กœ์šด ๋””์ž์ธ์€ ๊ณต๊ตฌ์—์„œ ๋‹ค์ด์˜ ์นจ์‹๋  ์ˆ˜ ์žˆ๋Š” ๊ฐ€๋Šฅ์„ฑ์„ ์ค„์˜€์Šต๋‹ˆ๋‹ค. ๋Œ€์‹  ์œ ์ฒด๋Š” ๊ตด๋š์˜ ์ค‘์‹ฌ๊ตฌ๋ฉ์— ์‚ฌ์šฉ๋œ ์ฝ”์–ด ํ•€ ์œ„๋กœ ๋ถ„์‚ฌ๋ฉ๋‹ˆ๋‹ค. ์ฝ”์–ด ํ•€์€ ๊ธˆํ˜• ๊ฐ•์ฒ ์„ ์ˆ˜๋ฆฌํ•˜๋Š” ๊ฒƒ๋ณด๋‹ค ํ›จ์”ฌ ์‰ฝ๊ณ  ๋น ๋ฅด๊ฒŒ ๊ต์ฒดํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์ด๋Ÿฌํ•œ ๊ธˆํ˜• ์„ค๊ณ„ ๋ณ€๊ฒฝ์€ ์ƒˆ๋กœ์šด ๊ธˆํ˜•์„ ์ ˆ๋‹จํ•˜๊ธฐ ์ „์— ์ด๋ฃจ์–ด์กŒ์œผ๋ฉฐ ๊ธˆํ˜• ์ œ์ž‘์ด ์™„๋ฃŒ๋œ ํ›„์— ๋ฌธ์ œ๊ฐ€ ๋ฐœ๊ฒฌ๋˜๋ฉด ๋น„์šฉ์ด ๋งŽ์ด ๋“œ๋Š” ํ”„๋กœ์„ธ์Šค๋ฅผ ์ œ๊ฑฐํ•˜์˜€์Šต๋‹ˆ๋‹ค.

Physical Verification

์ƒ์‚ฐ ๋„๊ตฌ์˜ ์‹œ์šด์ „ ํ›„ Littler Diecast๋Š” short shots, x-rays ๋ฐ ํŒŒ๊ดด ํ…Œ์ŠคํŠธ๋ฅผ ํ†ตํ•ด ์„ค๊ณ„ ๋ณ€๊ฒฝ ์‚ฌํ•ญ์„ ํ™•์ธํ•  ์ˆ˜ ์žˆ์—ˆ์Šต๋‹ˆ๋‹ค. short shot์€ ๊ท ํ˜• ์žกํžŒ ๋Ÿฌ๋„ˆ๋ฅผ ๋ณด์—ฌ ์ฃผ์—ˆ์œผ๋ฉฐ ์—‘์Šค๋ ˆ์ด์—๋Š” ๋‹ค๊ณต์„ฑ์ด ๋ณด์ด์ง€ ์•Š์•˜์Šต๋‹ˆ๋‹ค. ํŒŒ๋‹จ ํ…Œ์ŠคํŠธ๋Š” ๊ณต๊ทน์ด ์—†๋Š” ์ผ์ •ํ•œ ๊ฒฐ์ •๋ฆฝ ์กฐ์ง์„ ๋ณด์—ฌ ์ฃผ์—ˆ๊ณ , ํŒŒ์†์€ ์žฌ๋ฃŒ์˜ ๊ฐ•๋„ ๋•Œ๋ฌธ์ด ์•„๋‹ˆ๋ผ ์ฃผ์กฐ ๊ฒฐํ•จ ๋•Œ๋ฌธ์ธ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ์Šต๋‹ˆ๋‹ค.

X-rays at different angles of a sample final part that was picked up from the shop floor.

 

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Increasing Productivity by Reducing Ejection Times

Increasing Productivity by Reducing Ejection Times

This article was contributed by Eugene Moore ofย Hellebusch Tool & Die

์‹œ๋ฎฌ๋ ˆ์ด์…˜ ์†Œํ”„ํŠธ์›จ์–ด๋Š” ์„ค๊ณ„์ž์™€ ์—”์ง€๋‹ˆ์–ด๊ฐ€ ์ฃผ์กฐ ๊ณต์ •์˜ ์„ธ๋ถ€ ์‚ฌํ•ญ์„ ์ดํ•ดํ•˜๊ณ  ๊ฒฝ์Ÿ์‚ฌ๋ณด๋‹ค ์ €๋ ดํ•œ ๋น„์šฉ์œผ๋กœ ๊ณ ํ’ˆ์งˆ ๋ถ€ํ’ˆ์„ ์ผ๊ด€์„ฑ ์žˆ๊ฒŒ ์ œ์ž‘ํ•  ์ˆ˜ ์žˆ๊ฒŒ ํ•ด์ฃผ๋Š” ์œ ์šฉํ•œ ๋„๊ตฌ์ž…๋‹ˆ๋‹ค. ๊ณ ์•• ๋‹ค์ด์บ์ŠคํŒ…์—์„œ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ์†Œํ”„ํŠธ์›จ์–ด๋Š” ์ฃผ์กฐ ๋‚ด๋กœ ๊ธˆ์†์„ ๊ณต๊ธ‰ํ•˜๊ณ  ๋‚œ๋ฅ˜๋กœ ์ธํ•œ ๊ณต๊ธฐ ์œ ์ž…์„ ๋ฐฉ์ง€ํ•˜๊ธฐ ์œ„ํ•ด ์ƒท ์Šฌ๋ฆฌ๋ธŒ ํŒ์˜ ํƒ€์ด๋ฐ์„ ๊ฐœ์„ ํ•˜๊ณ  ์˜ค๋ฒ„ ํ”Œ๋กœ์šฐ์— ๋Œ€ํ•œ ๊ฐ€์žฅ ํšจ๊ณผ์ ์ธ ์œ„์น˜๋ฅผ ์‹๋ณ„ํ•˜๋Š” ๋” ๋‚˜์€ ๊ฒŒ์ดํŒ… ์‹œ์Šคํ…œ์„ ์„ค๊ณ„ํ•˜๋Š” ๋ฐ ์‚ฌ์šฉ๋ฉ๋‹ˆ๋‹ค. ์ด ๊ธฐ์‚ฌ์—์„œ๋Š” ํ”„๋กœ์„ธ์Šค ์‹œ๊ฐ„์„ ๋‹จ์ถ•ํ•˜๊ธฐ ์œ„ํ•ด ๋ถ€ํ’ˆ์„ ๋‹ค์ด์—์„œ ๋ฐฐ์ถœํ•˜๊ธฐ ์ „์— ์‹œ๊ฐ„์„ ์ค„์ด๋Š” ๋ฐฉ๋ฒ•์„ ์‚ดํŽด ๋ณด๊ฒ ์Šต๋‹ˆ๋‹ค.

๋น„์Šคํ‚ท์€ ์ฃผ์กฐ ๊ณผ์ •์—์„œ ๊ณ ํ˜•ํ™” ๋œ ๋งˆ์ง€๋ง‰ ์žฅ์†Œ์ด๊ธฐ ๋•Œ๋ฌธ์— ์šฐ๋ฆฌ์˜ ๋…ธ๋ ฅ์— ์ง‘์ค‘ํ•  ์ˆ˜ ์žˆ๋Š” ์ž์—ฐ์Šค๋Ÿฌ์šด ๊ณณ์ด๋ฉฐ ๋”ฐ๋ผ์„œ ๋ถ€ํ’ˆ์„ ์–ธ์ œ ๊บผ๋‚ผ ์ˆ˜ ์žˆ๋Š”์ง€๋ฅผ ๊ฒฐ์ •ํ•ฉ๋‹ˆ๋‹ค. ๋”ฐ๋ผ์„œ ๋น„์Šคํ‚ท์˜ ์‘๊ณ  ์‹œ๊ฐ„์„ ์ค„์ผ ์ˆ˜ ์žˆ๋‹ค๋ฉด ์ „๋ฐ˜์ ์ธ ๊ณต์ • ์‹œ๊ฐ„์„ ์ค„์ผ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์ด๋ฅผ ์ˆ˜ํ–‰ํ•˜๋Š” ํ•œ ๊ฐ€์ง€ ๋ฐฉ๋ฒ•์€ ์œ ์ฒด์™€ ์ ‘์ด‰ํ•˜๋Š” ์˜์—ญ์˜ ์–‘์„ ๋Š˜๋ ค ์ƒทํŒ์„ ํ†ตํ•ด ๊ธˆ์†์—์„œ ๋” ๋งŽ์€ ์—ด์„ ์ œ๊ฑฐํ•˜๋Š” ๊ฒƒ์ž…๋‹ˆ๋‹ค. ์ด ๊ฒฝ์šฐ ์ •ํ™•ํ•˜๊ฒŒ ์ ์šฉํ•  ์ˆ˜๋Š” ์—†์ง€๋งŒ, ์•„๋ž˜์— ํ‘œ์‹œ๋œ ์ •์ƒ์ƒํƒœ ๋Œ€๋ฅ˜ ๋ฐฉ์ •์‹์„ ์‚ฌ์šฉํ•˜๋ฉด ์ด ์ ‘๊ทผ๋ฒ•์˜ ๊ธฐ์ดˆ๊ฐ€ ๊ฐ€์žฅ ์‰ฝ๊ฒŒ ํ‘œ์‹œ๋ฉ๋‹ˆ๋‹ค.

์ด ๋ฐฉ์ •์‹์—์„œ ์—ด ํ๋ฆ„์€ ๋Œ€๋ฅ˜ ์—ด ์ „๋‹ฌ ๊ณ„์ˆ˜์ด๊ณ , ๊ธˆ์† ํŒ๊ณผ ์ƒท ํŒ ์˜จ๋„์˜ ์ฐจ์ด์ด๋ฉฐ, ๊ธˆ์†๊ณผ ์ ‘์ด‰ํ•˜๋Š” ์ƒท ํŒ์˜ ํ‘œ๋ฉด์ ์ž…๋‹ˆ๋‹ค. ๊ทธ๋ฆผ 1์—์„œ ๋ณผ ์ˆ˜ ์žˆ๋“ฏ์ด ์˜ค๋Š˜๋‚  ์‹œ์žฅ์—์„œ ๋ณผ ์ˆ˜ ์žˆ๋Š” ๋‹ค์–‘ํ•œ ํ˜•ํƒœ์˜ ํ”Œ๋Ÿฐ์ € ํŒ์ด ๊ธˆ์†๊ณผ ์ ‘์ด‰ํ•˜๋Š” ํ‘œ๋ฉด์ ์„ ์ฆ๊ฐ€์‹œํ‚ค๋„๋ก ์„ค๊ณ„๋˜์—ˆ์Šต๋‹ˆ๋‹ค.

Figure 1: Plunger tips varying in size and surface area [1]

๋น„์Šคํ‚ท์—์„œ ์ œ๊ฑฐ๋œ ์—ด์„ ์ฆ๊ฐ€์‹œํ‚ค๋Š” ๋˜ ๋‹ค๋ฅธ ๋ฐฉ๋ฒ•์€ ๋น„์Šค์ผ“์—์„œ ์ƒท ํŒ๊ณผ ๊ธˆ์† ์‚ฌ์ด์˜ ์˜จ๋„ ์ฐจ์ด๋ฅผ ์กฐ์ ˆํ•˜๋Š” ๊ฒƒ์ž…๋‹ˆ๋‹ค. ์ด๋Š” ๊ทธ๋ฆผ 2 ์—์„œ์ฒ˜๋Ÿผ ๋ƒ‰๊ฐ ์„ ์„ ํŒ์— ์ถ”๊ฐ€ํ•˜์—ฌ ์ˆ˜ํ–‰๋ฉ๋‹ˆ๋‹ค. ์ด ์ ‘๊ทผ๋ฒ•์˜ ๋‹จ์ ์€ ํ”ผ์Šคํ†ค ์–ด์…ˆ๋ธ”๋ฆฌ์— ์ƒ๋‹นํ•œ ๋ณต์žก์„ฑ์„ ์ถ”๊ฐ€ํ•œ๋‹ค๋Š” ๊ฒƒ์ž…๋‹ˆ๋‹ค.

Figure 2: Cooling within plunger tip [2]

New design

์ด ๊ธฐ์‚ฌ์—์„œ FLOW-3D Cast๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ์ƒˆ๋กœ์šด ํ”Œ๋Ÿฐ์ € ํŒ ๋””์ž์ธ์„ ๋ถ„์„ํ•˜๊ณ  ์ˆ˜์ •๋˜์ง€ ์•Š์€ ํ‘œ์ค€ ์›ํ†ตํ˜• ํŒ๊ณผ ๋น„๊ตํ–ˆ์Šต๋‹ˆ๋‹ค. ๊ทธ๋ฆผ 3์—์„œ์™€ ๊ฐ™์ด ๋ ๋ถ€๋ถ„์— ๋ณ„ ๋ชจ์–‘์˜ ์ปท ์•„์›ƒ์ด ์žˆ๋Š” ์›ํ†ตํ˜• ํŒ์œผ๋กœ ๊ตฌ์„ฑ๋œ ์ˆ˜์ •๋œ ํŒ์€ ์ˆ˜์ •๋˜์ง€ ์•Š์€ ์ƒท ํŒ๋ณด๋‹ค 20 % ๋” ๋งŽ์€ ํ‘œ๋ฉด์ ์„ ๊ฐ–์Šต๋‹ˆ๋‹ค. ํŒ์€ ๋ถ„์„์„ ์œ„ํ•ด ๋ฌผ๋กœ ๋ƒ‰๊ฐ๋˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค.

Figure 3: Shape of the modified tip to give 20% increase in area

 

Analysis

๊ฐ ์ƒท ํŒ ๋””์ž์ธ์— ๋Œ€ํ•ด ์ถฉ์ง„ (์ƒท ํŒ ๋ชจ์…˜ ํฌํ•จ) ๋ฐ ์‘๊ณ  (ํ”Œ๋กœ์šฐ ๋ฏธํฌํ•จ) ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ์‹คํ–‰ํ–ˆ์Šต๋‹ˆ๋‹ค. ๋ชจ๋“  ๋‹ค๋ฅธ ๋งค๊ฐœ ๋ณ€์ˆ˜๋Š” ์‚ฌ๋ก€๊ฐ„์— ๋™์ผํ•ฉ๋‹ˆ๋‹ค. ์ฃผ์š” ๊ด€์‹ฌ์‚ฌ๋Š” ๋‘ ๊ฐ€์ง€์ž…๋‹ˆ๋‹ค. ์ฆ‰, ์ถฉ์ „ ์ค‘ ํ๋ฆ„ ํŒจํ„ด๊ณผ ์ „๋ฐ˜์ ์ธ ์‘๊ณ  ์‹œ๊ฐ„์ž…๋‹ˆ๋‹ค. ์ƒท ํŒ ๋””์ž์ธ์ด ํŒŒ๋™ ๋ฐ ๊ณต๊ธฐ ์œ ์ž…์„ ์œ ๋ฐœํ•˜๋Š” ๊ฒฝ์šฐ ํŒ ๋˜๋Š” ์ƒท ์Šฌ๋ฆฌ๋ธŒ ํ”„๋กœํŒŒ์ผ์„ ๋‹ค์‹œ ์„ค๊ณ„ํ•ด์•ผ ํ•˜๊ธฐ ๋•Œ๋ฌธ์— ์ถฉ์ง„ ์ค‘ ํ๋ฆ„ ํŒจํ„ด์ด ์ค‘์š”ํ•ฉ๋‹ˆ๋‹ค.

์ฒซ ๋ฒˆ์งธ ๋น„๊ต๋Š” ๊ทธ๋ฆผ 4์— ํ‘œ์‹œ๋œ ์ƒท ์Šฌ๋ฆฌ๋ธŒ์˜ ํ๋ฆ„ ํŒจํ„ด์ž…๋‹ˆ๋‹ค. ์ด ๊ทธ๋ฆผ์€ ์ˆ˜์ • ๋œ ํŒ์ด ์žˆ๊ฑฐ๋‚˜ ์—†๋Š” ์ƒท ์Šฌ๋ฆฌ๋ธŒ ์ค‘ ์œ ์ฒด์˜ ์ด๋ฏธ์ง€๋ฅผ ๋ณด์—ฌ ์ฃผ๋ฉฐ ํŒ์˜ ๋ชจ์–‘์ด ์ƒท ์Šฌ๋ฆฌ๋ธŒ์— ์˜ํ–ฅ์„ ์ฃผ์ง€ ์•Š๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ์Šต๋‹ˆ๋‹ค. ํ๋ฆ„ ํŒจํ„ด. ์ƒท ํ”„๋กœํŒŒ์ผ์— ๊ฑฐ์˜ ์˜ํ–ฅ์„ ์ฃผ์ง€ ์•Š๊ธฐ ๋•Œ๋ฌธ์— ์‘๊ณ ์— ์ง‘์ค‘ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

Figure 4: Flow patterns in the shot sleeves from both tips.

 

๋‘ ๋ฒˆ์งธ ๋น„๊ต๋Š” ์‘๊ณ  ์‹œ๊ฐ„์ž…๋‹ˆ๋‹ค. ๊ทธ๋ฆผ 5๋Š” ์‹œ๊ฐ„์˜ ํ•จ์ˆ˜๋กœ์„œ ํŒ์˜ ํ‰๊ท  ์˜จ๋„, ์‹œ๊ฐ„์˜ ํ•จ์ˆ˜๋กœ์„œ ๊ธˆ์†์œผ๋กœ๋ถ€ํ„ฐ ํŒ์œผ๋กœ์˜ ์—ด ์œ ์† ๋ฐ ์ถ”์ถœ์‹œ์˜ ์•ก์ฒด ๊ธˆ์†์˜ ์˜จ๋„ ํ”„๋กœํŒŒ์ผ์„ ๋น„๊ตํ•ฉ๋‹ˆ๋‹ค

Figure 5: The above time plots show the average temperature in tip on the upper left hand corner and the heat flux from the metal to the tip in the upper right hand corner. The images below this show the metal temperature within the biscuit of the two castings.

๊ทธ๋ฆผ 5์—์„œ ๋ณผ ์ˆ˜ ์žˆ๋“ฏ์ด, ๊ทธ๋ž˜ํ”„๋Š” ๊ธˆ์†์—์„œ ๋” ๋งŽ์€ ์—ด์„ ์ถ”์ถœํ–ˆ๊ธฐ ๋•Œ๋ฌธ์— ์ˆ˜์ • ๋œ ํŒ์˜ ํ‰๊ท  ์˜จ๋„๊ฐ€ ๋” ๋†’์Œ์„ ๋ณด์—ฌ์ค๋‹ˆ๋‹ค. ์ด๊ฒƒ์€ ๋˜ํ•œ ์—ด ์œ ์† ํ”Œ๋กฏ์— ํ‘œ์‹œ๋ฉ๋‹ˆ๋‹ค. ๊ทธ๋ž˜ํ”„ ์•„๋ž˜์˜ ์ด๋ฏธ์ง€๋Š” ๋น„์Šคํ‚ท๊ณผ ํƒ„ํ™˜์˜ ๊ฒฝ๊ณ„๋ฉด์—์„œ ์•ก์ฒด๊ธˆ์†์„ ๋ณด์—ฌ์ค๋‹ˆ๋‹ค. ๋ฐ์ดํ„ฐ๋Š” ์ˆ˜์ •๋œ ํŒ์„ ์‚ฌ์šฉํ•˜์—ฌ ์—ด ์ œ๊ฑฐ๊ฐ€ 12.7 % ์ฆ๊ฐ€ํ•œ ๊ฒƒ์„ ๋ณด์—ฌ์ค๋‹ˆ๋‹ค.

Conclusions

์ƒท ํŒ ๋””์ž์ธ์€ ์ฃผ์กฐ ๋ถ€ํ’ˆ์˜ ์‘๊ณ  ์‹œ๊ฐ„์— ๋ˆˆ์— ๋„๋Š” ์˜ํ–ฅ์„ ๋ฏธ์นฉ๋‹ˆ๋‹ค. ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ์†Œํ”„ํŠธ์›จ์–ด๋Š” ํšจ๊ณผ๋ฅผ ๋ถ„์„ํ•˜๊ณ  ์ด ์ง€์‹์„ ์‚ฌ์šฉํ•˜์—ฌ ํ”„๋กœ์„ธ์Šค ๋งค๊ฐœ๋ณ€์ˆ˜๋ฅผ ์ตœ์ ํ™”ํ•˜๋Š” ๋ฐฉ๋ฒ•์„ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค.

 

References
[1]ย http://www.metalminotti.it/copper-alloys-semi-and-finished-products/plunger-tips-for-die-casting/
[2]ย http://www.castool.com/product/plunger-rod

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Cooling and Feeding System Design

Cooling and Feeding System Design

๊ณต๋™ ๋˜๋Š” ๋‹ค๊ณต์„ฑ ๊ฒฐํ•จ์€ ์ผ๋ฐ˜์ ์œผ๋กœ ๋งˆ์ง€๋ง‰ ์‘๊ณ  ์œ„์น˜์—์„œ ํ˜•์„ฑ๋ฉ๋‹ˆ๋‹ค. ๋ผ์ด์ €๋Š” ์ผ๋ฐ˜์ ์œผ๋กœ ์ฃผ์กฐ๋ฌผ์ด ๊ตณ์„ ๋•Œ ๋…น์€ ๊ธˆ์†์„ ์ฃผ์กฐ๋ฌผ์— ์ œ๊ณตํ•˜์—ฌ ์ด๋Ÿฌํ•œ ๊ฒฐํ•จ์„ ๋ฐฉ์ง€ํ•˜๋Š”๋ฐ ์‚ฌ์šฉ๋ฉ๋‹ˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ๋ผ์ด์ €๊ฐ€ ํšจ๊ณผ๋ฅผ ๋ฐœํœ˜ํ•˜๋ ค๋ฉด ์ ์ ˆํ•œ ํฌ๊ธฐ์— ์ ์ ˆํ•œ ์œ„์น˜์— ๋ฐฐ์น˜ํ•˜์—ฌ ์ˆ˜์ถ•๋Ÿ‰์„ ๋ณด์ƒํ•  ์ˆ˜ ์žˆ๋Š” ์ถฉ๋ถ„ํ•œ ์žฌ๋ฃŒ๋ฅผ ํฌํ•จํ•ด์•ผ ํ•ฉ๋‹ˆ๋‹ค. FLOW-3D CAST์—์„œ๋Š” ์บ์Šคํ„ฐ๊ฐ€ ๊ฒฐ์  ์—†๋Š” ์ฃผ๋ฌผ์„ ์œ„ํ•œ ๋ƒ‰๊ฐ ๋ฐ ๊ณต๊ธ‰ ์‹œ์Šคํ…œ์„ ์„ค๊ณ„ํ•  ์ˆ˜ ์žˆ๋„๋ก ๋‘ ๊ฐ€์ง€ ์ƒˆ๋กœ์šด ๋„๊ตฌ๊ฐ€ ๊ฐœ๋ฐœ๋˜์—ˆ์Šต๋‹ˆ๋‹ค. ์ฆ‰, ๋งˆ์ง€๋ง‰์œผ๋กœ ์‘๊ณ ๋  ์žฅ์†Œ์˜ ์˜ˆ์ธก๊ณผ ์—ด ๊ณ„์ˆ˜ ๊ณ„์‚ฐ์ž…๋‹ˆ๋‹ค.

Last Places to Freeze

๋งˆ์ง€๋ง‰์œผ๋กœ ์‘๊ณ ๋”œ ์žฅ์†Œ๋Š” ์ฃผ๋ฌผ ๋‚ด ๊ฐ€์žฅ ๋Šฆ๊ฒŒ ์‘๊ณ ๋˜๋Š” ์œ„์น˜์™€ ์ˆ˜์ถ• ๋‹ค๊ณต์„ฑ ๊ฒฐํ•จ์ด ํ˜•์„ฑ๋  ๊ฐ€๋Šฅ์„ฑ์ด ์žˆ๋Š” ์œ„์น˜๋ฅผ ์ง์ ‘ ํ‘œ์‹œํ•ฉ๋‹ˆ๋‹ค. ์ด๋Ÿฌํ•œ ์žฅ์†Œ๋Š” ๊ณ ์ฒด ๋ถ„์œจ ์ง„ํ™” ๋˜๋Š” ์‘๊ณ  ์‹œ๊ฐ„์œผ๋กœ๋ถ€ํ„ฐ ํŒŒ์ƒ๋  ์ˆ˜ ์žˆ์ง€๋งŒ, ๋ณด๋‹ค ์ง์ ‘์ ์ธ ์‹œ๊ฐํ™” ๋ฐฉ๋ฒ•์ด ํ•ญ์ƒ ์„ ํ˜ธ๋ฉ๋‹ˆ๋‹ค.

ํŠน์ˆ˜ ์œ ํ˜•์˜ ๊ณ ์ • ์ž…์ž๋Š” “ํ•ซ ์Šคํฟ”์ด๋ผ๊ณ  ๋ถˆ๋ฆฌ๋Š” ๋งˆ์ง€๋ง‰ ์‘๊ณ  ์œ„์น˜๋ฅผ ์‹๋ณ„ํ•˜๊ณ  ์‹œ๊ฐํ™”ํ•˜๋Š” ๋ฐ ์‚ฌ์šฉ๋ฉ๋‹ˆ๋‹ค. ์ด ์ถœ๋ ฅ์€ ์‘๊ณ  ๋ชจ๋ธ์„ ์‚ฌ์šฉํ•  ๋•Œ ์ž๋™์œผ๋กœ ์ƒ์„ฑ๋ฉ๋‹ˆ๋‹ค. ํ•ซ ์Šคํฟ ์ž…์ž๋Š” ๊ทธ๋ฆผ 1์— ๋„์‹์ ์œผ๋กœ ๋‚˜ํƒ€๋‚œ ๋ฐ”์™€ ๊ฐ™์ด, ๋ชจ๋“  ์ธ์ ‘ ์˜์—ญ์ด ๊ณ ์ฒดํ™”๋œ ํ›„์— ์‘๊ณ ๋  ๋•Œ ์…€์— ์‚ฝ์ž…๋ฉ๋‹ˆ๋‹ค.

์ด๋Ÿฌํ•œ ์ž…์ž๋Š” ์ตœ์ข… ์ž์œ ๋„ ์œ„์น˜๋ฅผ ํŒŒ์•…ํ•˜๋Š” ๊ฒƒ ์™ธ์— ์ด๋Ÿฌํ•œ ์œ„์น˜์—์„œ ์ˆ˜์ถ• ๋‹ค๊ณต์„ฑ ๊ฒฐํ•จ์˜ ๊ฐ€๋Šฅ์„ฑ๊ณผ ํฌ๊ธฐ๋ฅผ ๊ฒฐ์ •ํ•˜๋Š” ๋ฐ ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ๋Š” ๋‹ค๋ฅธ ์†์„ฑ์„ ๊ฐ€์ง€๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์ฆ‰, ์…€ ์‘๊ณ  ์‹œ๊ฐ„, ํ•ซ ์Šคํฟ ID ๋ฐ ํ•ซ ์Šคํฟํฌ๊ธฐ,ย  ์…€์ด ์‘๊ณ ๋˜๋Š” ์‹œ๊ฐ„์ž…๋‹ˆ๋‹ค. ํ•ซ ์Šคํฟ ID๋Š” ํ•ซ ์Šคํฟ์ด ์ฒซ๋ฒˆ์งธ ์ง€์ , ๋‘๋ฒˆ์งธ ์ง€์ ์ธ ์ˆœ์„œ๋ฅผ ๋‚˜ํƒ€๋ƒ…๋‹ˆ๋‹ค. ๋งˆ์ง€๋ง‰์œผ๋กœ ํ•ซ ์ŠคํŒŸํฌ๊ธฐ๋Š” ๋‹ค์Œ ๊ณต์‹์œผ๋กœ ๊ณ„์‚ฐ๋ฉ๋‹ˆ๋‹ค.

์ด ์ž…์ž๋“ค์€ ๋งˆ์ง€๋ง‰์œผ๋กœ ๋™๊ฒฐ๋œ ์œ„์น˜๋ฅผ ์‹๋ณ„ํ•˜๋Š” ๊ฒƒ ์™ธ์—๋„ ์ด๋Ÿฌํ•œ ์œ„์น˜์—์„œ ์ˆ˜์ถ• ๋‹ค๊ณต์„ฑ ๊ฒฐํ•จ์˜ ๊ฐ€๋Šฅ์„ฑ ๋ฐ ํฌ๊ธฐ, ์ฆ‰ ์…€ ์‘๊ณ  ์‹œ๊ฐ„, ํ•ซ ์Šคํฟ ID ๋ฐ ํ•ซ ์Šคํฟ ํฌ๊ธฐ๋ฅผ ๊ฒฐ์ •ํ•˜๋Š” ๋ฐ ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ๋Š” ๋‹ค๋ฅธ ์†์„ฑ์„ ๊ฐ€์ง€๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์…€ ์‘๊ณ  ์‹œ๊ฐ„์€ ์…€์ด ์‘๊ณ ๋˜๋Š” ์‹œ๊ฐ„์ž…๋‹ˆ๋‹ค. ํ•ซ ์Šคํฟ ID๋Š” ํ•ซ ์Šคํฟ์ด ๊ตณ์–ด์ง€๋Š” ์ˆœ์„œ๋ฅผ ๋‚˜ํƒ€๋ƒ…๋‹ˆ๋‹ค. 1์€ ์ฒซ ๋ฒˆ์งธ, 2๋Š” ๋‘ ๋ฒˆ์งธ ๋“ฑ. ๋งˆ์ง€๋ง‰์œผ๋กœ, ํ•ซ ์Šคํฟ ํฌ๊ธฐ๋Š” ๋‹ค์Œ ๋ฐฉ์ •์‹์œผ๋กœ ๊ณ„์‚ฐ๋ฉ๋‹ˆ๋‹ค.

ย 

  • hsm(i) ๋Š” ์ž…์ž i์— ๋Œ€ํ•œ ํ•ซ์ŠคํŒŸ ํฌ๊ธฐ์ž…๋‹ˆ๋‹ค.
  • t0 ๋Š” ์ž…์ž ์œ„์น˜์—์„œ์˜ ์„ธํฌ ์‘๊ณ  ์‹œ๊ฐ„์ž…๋‹ˆ๋‹ค.
  • ฮฝliq(t) ๋Š” ์‹œ๊ฐ„ t์—์„œ ์ž…์ž๋ฅผ ํฌํ•จํ•˜๋Š” ์•ก์ฒด ์˜์—ญ์˜ ๋ถ€ํ”ผ์ž…๋‹ˆ๋‹ค.

Figure 1. A hot spot particle is inserted at the center of a cell when it solidifies after its immediate neighbors become solid.

Figure 2. ํ•ซ์ŠคํŒŸ ์ž…์ž๋ฅผ ํฌํ•จํ•˜๋Š” ์•ก์ฒด ๋ถ€ํ”ผ์˜ ์ง„ํ–‰์ƒํƒœ ์˜ˆ์‹œ : t3> t2> t1.

๊ทธ๋ฆผ 2๋Š” ์—ฐ๊ฒฐ๋œ ์•ก์ฒด ์ง€์—ญ์˜ ๋ถ€ํ”ผ๊ฐ€ ์ž…์ž ์†๋„์˜ ํ•จ์ˆ˜๋กœ์„œ ์–ด๋–ป๊ฒŒ ๋ณ€ํ•˜๋Š”์ง€๋ฅผ ๋ณด์—ฌ ์ค€๋‹ค. ๊ทธ๋Ÿฐ ๋‹ค์Œ ๊ณ„์‚ฐ๋œ ์–‘์„ ์ •๊ทœํ™”ํ•˜์—ฌ ๋ชจ๋“  ํ•ซ ์ŠคํŒŸ ํฌ๊ธฐ ๊ฐ’์„ 0๊ณผ 1์‚ฌ์ด์˜ ๋ฒ”์œ„๋กœ ๊ฐ€์ ธ์˜ต๋‹ˆ๋‹ค. ์ด๋ฅผ ํ†ตํ•ด ๋‹ค๊ณต์„ฑ ํ˜•์„ฑ์— ๋ฏธ์น˜๋Š” ์ž ์žฌ์ ์ธ ์˜ํ–ฅ๊ณผ ๊ด€๋ จํ•˜์—ฌ ์ฃผ๋ฌผ ๋‚ด ์—ฌ๋Ÿฌ ํ•ซ ์Šคํฟ์„ ๊ฐ„๋‹จํ•˜๊ฒŒ ๋น„๊ต ๋ถ„์„ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ๊ฐ’์ด ๋†’์„์ˆ˜๋ก ์‘๊ณ ํ•˜๋Š” ๋™์•ˆ ์—ฐ๊ฒฐ๋œ ์•ก์ฒด ์˜์—ญ์ด ์ปค์ง€๋ฉฐ ์ตœ์ข…-๋™๊ฒฐ ์œ„์น˜์—์„œ ๋‹ค๊ณต์„ฑ ๊ฒฐํ•จ์ด ์ค„์–ด๋“ค ๊ฐ€๋Šฅ์„ฑ์ด ๋†’์•„์ง‘๋‹ˆ๋‹ค.

ย 

The Thermal Modulus Method

์—ด ๊ณ„์ˆ˜ ๋ฒ•์€ ์ผ๋ฐ˜์ ์ธ ๋ผ์ด์ € ์„ค๊ณ„ ์‹œ ๊ฐ€์žฅ ๋งŽ์ด ์‚ฌ์šฉ๋˜๋Š” ๋ฐฉ๋ฒ• ์ค‘ ํ•˜๋‚˜์ด๋ฉฐ, ํŠนํžˆ ์•Œ๋ฃจ๋ฏธ๋Š„ ํ•ฉ๊ธˆ ๋ฐ ๊ฐ•์ฒ  ์ฃผ๋ฌผ์— ์‚ฌ์šฉ๋ฉ๋‹ˆ๋‹ค. ์ฃผ์–ด์ง„ ์ฃผ๋ฌผ ๋ถ€ํ’ˆ์˜ ๊ฒฝ์šฐ, ๊ทธ ๊ณ„์ˆ˜๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™์ด ์ •์˜๋ฉ๋‹ˆ๋‹ค.

  • V๋Š” ์ฃผ์กฐ ๋ถ€ํ’ˆ์˜ ์ฒด์ ์ด๋ฉฐ
  • A๋Š” ์ฃผ์กฐ ๋ถ€ํ’ˆ์˜ ํ‘œ๋ฉด์ ์ž…๋‹ˆ๋‹ค.

์ฃผ๋ฌผ์˜ ๊ธฐํ•˜ํ•™์  ๊ณ„์ˆ˜๋Š” ๊ตฌ์ฒด๋‚˜ ๋ธ”๋ก๊ณผ ๊ฐ™์€ ์ •๊ทœ ํ˜•์ƒ์— ๋Œ€ํ•ด ๊ณ„์‚ฐํ•˜๊ธฐ ์‰ฝ์Šต๋‹ˆ๋‹ค. ๊ทธ๋ณด๋‹ค ๋” ๋ณต์žกํ•œ ๊ฒƒ์€ ๋ณดํ†ต ๋ชจ์–‘์œผ๋กœ ์ฃผ์กฐ ์„น์…˜์„ ์ง€๋ฃจํ•˜๊ฒŒ ๊ทผ์‚ฌ์น˜๋ฅผ ๊ตฌํ•˜๋Š” ๊ฒƒ์ž…๋‹ˆ๋‹ค. ๋˜ํ•œ, ๊ธฐํ•˜ํ•™์  ๊ณ„์ˆ˜ํ˜• ์ ‘๊ทผ ๋ฐฉ์‹์€ ์ฃผ๋ฌผ์˜ ๊ธฐํ•˜ํ•™์  ๊ตฌ์กฐ์— ์ „์ ์œผ๋กœ ์˜์กดํ•ฉ๋‹ˆ๋‹ค.

์‹ค์ œ ์ฃผ์กฐ๋ฌผ์€ ๋ƒ‰๊ฐ์ œ์™€ ์ ˆ์—ฐ์ฒด๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ์‘๊ณ  ์ง„ํ–‰์„ ์ œ์–ดํ•ฉ๋‹ˆ๋‹ค. ์ด๋Ÿฌํ•œ ํ˜•์ƒ์€ ๊ธฐํ•˜ ๊ณ„์ˆ˜ ์ ‘๊ทผ ๋ฐฉ์‹์—์„œ๋Š” ๋ฌด์‹œ๋œ๋‹ค. ๊ณ„์ˆ˜ ๊ณ„์‚ฐ์„ ์ž๋™ํ™”ํ•˜๊ณ , ๋™๊ฒฐ ์œตํ•ด, ๋‹จ์—ด ๋ฐ ๊ธฐํƒ€ ์ฃผํ˜• ๋ณ€ํ˜•๊ณผ ๊ด€๋ จ๋œ ์—ด ์˜ํ–ฅ์„ ๊ณ ๋ คํ•˜๊ธฐ ์œ„ํ•ด ์—ด ๊ณ„์ˆ˜๋ผ๊ณ  ํ•˜๋Š” ํ˜์‹ ์ ์ธ ์ ‘๊ทผ๋ฒ•์ด ๋ผ์ด์ € ๋””์ž์ธ์— ์‚ฌ์šฉ๋œ๋‹ค.

์—ด ๊ณ„์ˆ˜ ์ ‘๊ทผ ๋ฐฉ์‹์˜ ๊ฒฝ์šฐ ๋จผ์ € ์ฃผ์กฐ๋ฌผ์˜ ์‘๊ณ  ์‹œ๋ฎฌ๋ ˆ์ด์…˜์ด ์‹คํ–‰๋ฉ๋‹ˆ๋‹ค. ์‹œ๋ฎฌ๋ ˆ์ด์…˜์ด ์™„๋ฃŒ๋˜๋ฉด, Cavorinov์˜ ๊ทœ์น™์— ๊ทผ๊ฑฐํ•œ ์‘๊ณ  ์‹œ๊ฐ„์œผ๋กœ๋ถ€ํ„ฐ ์ฃผ๋ฌผ ์ „์ฒด์˜ ๋“ฑ๊ฐ€ ๊ณ„์ˆ˜๋ฅผ ๊ณ„์‚ฐํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์ด ์ ‘๊ทผ๋ฒ•์„ ์‚ฌ์šฉํ•˜์—ฌ ๊ณ„์‚ฐ๋œ ๋“ฑ๊ฐ€ ๊ณ„์ˆ˜๋ฅผ ์—ด ๊ณ„์ˆ˜๋ผ๊ณ  ํ•œ๋‹ค. ๊ทธ๊ฒƒ์€ ๋ผ์ด์ € ์„ค๊ณ„๋ฅผ ๊ฐ€์ด๋“œํ•˜๊ธฐ ์œ„ํ•ด ๊ธฐํ•˜ํ•™์  ๊ณ„์ˆ˜์™€ ๋™์ผํ•œ ๋ฐฉ๋ฒ•์œผ๋กœ ์‚ฌ์šฉ๋  ์ˆ˜ ์žˆ๋‹ค.

ย 

Chvorinov์˜ ๋ฒ•์น™์€ ์‘๊ณ  ์‹œ๊ฐ„๊ณผ์˜ ๊ด€๊ณ„๋ฅผ ๋‚˜ํƒ€๋‚ด๋ฉฐ ๊ทธ ๊ณ„์ˆ˜๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™์ด ์“ธ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

  • t is the casting solidification time,
  • N is a constant (usually equal to 2), and
  • B is the mold constant. It can be calculated using the following formula:

์ฃผ์กฐ ๊ณต์ •์„ ์„ค๊ณ„ํ•  ๋•Œ ๋ผ์ด์ €๋Š” ์ ์ ˆํ•œ ์œ ๋™์„ ์œ„ํ•ด ๋ผ์ด์ €์˜ ์‘๊ณ  ์‹œ๊ฐ„์ด ์ธ์ ‘ ์ฃผ์กฐ ์„น์…˜์˜ ์‘๊ณ  ์‹œ๊ฐ„๋ณด๋‹ค ๊ธด ๋ฐฉ์‹์œผ๋กœ ์„ค๊ณ„๋ฉ๋‹ˆ๋‹ค. Chvorinov์˜ ๊ทœ์น™์— ๋”ฐ๋ฅด๋ฉด ์‘๊ณ  ์‹œ๊ฐ„์€ ์ฃผ๋ฌผ์˜ ๊ณ„์ˆ˜์— ์ •๋น„๋ก€ํ•ฉ๋‹ˆ๋‹ค. ๋”ฐ๋ผ์„œ ์‘๊ณ  ์‹œ๊ฐ„์„ ๋น„๊ตํ•  ๋•Œ ๋ชจ๋“ˆํ™”๋ฅผ ์ง์ ‘ ๋น„๊ตํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ๋ชจ๋“ˆํ˜•์€ ๊ธฐํ•˜ํ•™์ ์ธ ์–‘์ด๊ธฐ ๋•Œ๋ฌธ์—, ๋ชจ๋“ˆํ˜•์˜ ๋น„๊ต๋Š” ํ›จ์”ฌ ๋‹จ์ˆœํ•˜๊ฒŒ ์„ค๊ณ„๋ฅผ ํ• ์ˆ˜์žˆ์Šต๋‹ˆ๋‹ค. ๊ธˆ์† ์ฃผ์กฐ ์—”์ง€๋‹ˆ์–ด๋Š” ์‹ค์ œ ์ฃผ์กฐ ๊ณต์ •์˜ ์„ธ๋ถ€ ์‚ฌํ•ญ์„ ๊ณ ๋ คํ•˜์ง€ ์•Š๊ณ ๋„ ๋ถ€ํ’ˆ์„ ์ ์ ˆํ•˜๊ฒŒ ์ด์†กํ•  ์ˆ˜ ์žˆ๋„๋ก ๊ณ„์ˆ˜๊ฐ€ ํฐ ๋ผ์ด์ €๋ฅผ ์„ค๊ณ„ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

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Application of the New Tools to Cooling and Feeding System Designย ย 

์˜ˆ๋ฅผ ๋“ค์–ด, ์ƒˆ๋กœ์šด ๋„๊ตฌ๋ฅผ ์‚ฌ์šฉํ•˜๋Š” ์ฆ๊ธฐ ํ„ฐ๋นˆ ์‹ค๋ฆฐ๋”์˜ ์ ˆ๋ฐ˜์— ๋Œ€ํ•œ ๋ƒ‰๊ฐ ๋ฐ ๊ณต๊ธ‰ ์‹œ์Šคํ…œ ์„ค๊ณ„๊ฐ€ ์ œ๊ณต๋˜๊ณ  ์ด ์„น์…˜์—์„œ Flow Science China ๋„์›€์„ ๋ฐ›์•„ ๋…ผ์˜๋ฉ๋‹ˆ๋‹ค. ๋ถ€ํ’ˆ์˜ ์™ธ๋ถ€ ์น˜์ˆ˜๋Š” 2.83ร—2.34ร—1.10๋ฏธํ„ฐ์ด๊ณ  ์ด ๋ถ€ํ”ผ๋Š” ์•„๋ž˜์™€ ๊ฐ™์ด ์•ฝ 0.95 ์„ธ์ œ๊ณฑ๋ฏธํ„ฐ์ž…๋‹ˆ๋‹ค. ์ฃผ๋ฌผ ์žฌ๋ฃŒ๋Š” ํƒ„์†Œ๊ฐ•์ด๋ฉฐ ์ฃผ์ž… ์˜จ๋„๋Š” 150ยฐC์ž…๋‹ˆ๋‹ค.

Figure 3. Casting part geometry

์ฒซ์งธ, ๋ƒ‰๊ฐ์ œ์™€ ๋ผ์ด์ €๊ฐ€ ์—†๋Š” ์ฃผ์กฐ๋ฌผ์˜ ์‘๊ณ  ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ์‹คํ–‰ํ•ฉ๋‹ˆ๋‹ค. ๊ทธ ๋ชฉ์ ์€ ํ•ซ ์Šคํฟ ์œ„์น˜๋ฅผ ํ™•์ธํ•˜๊ณ  ์‘๊ณ  ๊ฑด์กฐ๊ธฐ ๋ฐ ๋ผ์ด์ €์˜ ์œ„์น˜์™€ ๋ผ์ด์ €์˜ ํฌ๊ธฐ๋ฅผ ๊ฒฐ์ •ํ•˜๋Š” ๊ฒƒ์ž…๋‹ˆ๋‹ค. ๋‘๊ฐœ์˜ ์ƒˆ๋กœ์šด ๋„๊ตฌ๋Š” ๋ƒ‰๊ธฐ์™€ ๋ผ์ด์ € ์„ค๊ณ„๋ฅผ ๊ฐœ์„ ํ•˜๋Š” ๋ฐ ์‚ฌ์šฉ๋ฉ๋‹ˆ๋‹ค.

์ž…์ž๋ฅผ ์‘๊ณ ํ•  ๋งˆ์ง€๋ง‰ ์œ„์น˜๋Š” ๊ฐ๊ฐ ์…€ ์‘๊ณ  ์‹œ๊ฐ„, ์ž…์ž ID ๋ฐ ํ•ซ ์Šคํฟ ํฌ๊ธฐ๋กœ ํ‘œ์‹œ๋œ ๋‹ค์Œ ๊ทธ๋ฆผ๊ณผ ๊ฐ™์Šต๋‹ˆ๋‹ค. ์ด๋Ÿฌํ•œ ๊ทธ๋ฆผ์„ ํ†ตํ•ด ํ•ซ ์Šคํฟ ์œ„์น˜์™€ ์ˆ˜์ถ• ๋‹ค๊ณต์„ฑ ๊ฒฐํ•จ์„ ํ˜•์„ฑํ•  ๊ฐ€๋Šฅ์„ฑ์„ ์ง์ ‘ ํ™•์ธํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์ฃผ๋ฌผ์˜ ๊ธฐํ•˜ํ•™์  ํŠน์„ฑ์— ๊ธฐ์ดˆํ•˜์—ฌ, ๋ผ์ด์ €๋ฅผ ๋ฐฐ์น˜ํ•˜๋Š” ์œ„์น˜๋Š” ๊ทธ๋ฆผ์˜ ๋งˆ์ง€๋ง‰ ํ”„๋ ˆ์ž„๊ณผ ๊ฐ™์ด ์‰ฝ๊ฒŒ ํ™•์ธํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

๊ทธ๋Ÿฌ๋‚˜ ํ•˜๋‹จ ์‰˜์— ๋ช‡๊ฐœ์˜ ํ•ซ ์Šคํฟ์ด ์žˆ์œผ๋ฉฐ ์ด๋Š” ๋ผ์ด์ €๋ฅผ ๋ฐฐ์น˜ํ•˜๋Š” ๋ฐ ์ ํ•ฉํ•˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค. ์ด๋Ÿฌํ•œ ์œ„์น˜์—์„œ ๋‹ค๊ณต์„ฑ ๊ฒฐํ•จ์˜ ์ˆ˜์ถ•์„ ๋ฐฉ์ง€ํ•˜๊ธฐ ์œ„ํ•ด ๋ƒ‰๊ฐ์ œ๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ์‘๊ณ  ํŒจํ„ด์„ ๋ณ€๊ฒฝํ•˜๊ณ  ๋งˆ์ง€๋ง‰์œผ๋กœ ๋ผ์ด์ € ์˜์—ญ๊นŒ์ง€ ์‘๊ณ ์‹œํ‚ฌ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

Figure 4. Hot spot locations colored by three attributes (clockwise from top left): hot spot solidification time, particle id and hot spot magnitude.

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Thermal Modulus Computation

๊ณ„์‚ฐ ๋œย  thermal modulus๋Š” ์˜ค๋ฅธ์ชฝ์— ํ‘œ์‹œ๋ฉ๋‹ˆ๋‹ค. ๋” ํฐ ๊ฐ’์€ ์‘๊ณ ๋  ๋งˆ์ง€๋ง‰ ์œ„์น˜์™€ ์ผ์น˜ํ•ฉ๋‹ˆ๋‹ค. ๋˜ํ•œ ์—ด ๋ชจ๋“ˆ๋Ÿฌ์Šค๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ํ•ซ์ŠคํŒŸ ์œ„์น˜์—์„œ ๋ผ์ด์ €์˜ ํฌ๊ธฐ๋ฅผ ๊ฒฐ์ •ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

๋ƒ‰๊ฐ ๋ฐ ๋ผ์ด์ €๊ฐ€ ๊ฒฐ์ •๋˜๋ฉด ๋ƒ‰๊ฐ ๋ฐ ๋ผ์ด์ € ์„ค๊ณ„๋ฅผ ํ™•์ธํ•˜๊ธฐ ์œ„ํ•ด ๋ƒ‰๊ฐ ๋ฐ ๋ผ์ด์ €๊ฐ€ ํฌํ•จ๋œ ๋‘ ๋ฒˆ์งธ ์‘๊ณ  ์‹œ๋ฎฌ๋ ˆ์ด์…˜์ด ์‹คํ–‰๋ฉ๋‹ˆ๋‹ค. ํ•ซ์ŠคํŒŸ ํฌ๊ธฐ๋กœ ์ฑ„์ƒ‰๋œ ๋งˆ์ง€๋ง‰ ์‘๊ณ  ์œ„์น˜ ์ž…์ž์™€ thermal modulus๊ฐ€ ๊ทธ๋ฆผ 6์— ๋‚˜์™€ ์žˆ์Šต๋‹ˆ๋‹ค. ๋ƒ‰๊ฐ์ด ๋งˆ์ง€๋ง‰ ์žฅ์†Œ๋ฅผ ๋ผ์ด์ € ์˜์—ญ์œผ๋กœ ์„ฑ๊ณต์ ์œผ๋กœ ์‘๊ณ ์‹œํ‚ค๋Š” ๊ฒƒ์„ ๋ณผ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ๋ผ์ด์ € ์•„๋ž˜์—๋Š” ์—ฌ์ „ํžˆ ์œ„ํ—˜ํ•œ ํ•ซ ์ŠคํŒŸ์ด ์žˆ์Šต๋‹ˆ๋‹ค. ์‹ค์ œ๋กœ ์‹ค์ œ ์ฃผ์กฐ๋Š” ์•„๋ž˜ ๊ทธ๋ฆผ์— ํ‘œ์‹œ๋œ ๊ฒƒ์ฒ˜๋Ÿผ ํ•ซ์ŠคํŒŸ ์ž…์ž๋กœ ์‹๋ณ„๋œ ์œ„์น˜์—์„œ ์ˆ˜์ถ• ๋‹ค๊ณต์„ฑ ๊ฒฐํ•จ์„ ๋ณด์—ฌ์ค๋‹ˆ๋‹ค.

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Figure 5. Calculated thermal modulus

Calculated thermal modulus ๋งˆ์ง€๋ง‰์œผ๋กœ ๋™๊ฒฐํ•  ์žฅ์†Œ๋Š” ๋ผ์ด์ €๊ฐ€ ์•„๋‹Œ ์ฃผ๋ฌผ ์•ˆ์— ์žˆ์Šต๋‹ˆ๋‹ค. ์ฆ‰, ๋ผ์ด์ € ์œ„์น˜์™€ ํฌ๊ธฐ๊ฐ€ ์˜ฌ๋ฐ”๋ฅด๊ฒŒ ๊ฒฐ์ •๋˜๋”๋ผ๋„ ์ฃผ๋ฌผ์ด ๋ผ์ด์ € ์ชฝ ๋ฐฉํ–ฅ์œผ๋กœ ๊ตณ์ง€ ์•Š๋„๋ก ์‘๊ณ  ํŒจํ„ด์ด ์˜ฌ๋ฐ”๋ฅด์ง€ ์•Š๋‹ค๋Š” ๊ฒƒ์„ ์˜๋ฏธํ•ฉ๋‹ˆ๋‹ค. ํ•œ ๊ฐ€์ง€ ํ•ด๊ฒฐ์ฑ…์€ ๋ฐœ์—ด ๋ผ์ด์ € ์Šฌ๋ฆฌ๋ธŒ๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ์‘๊ณ  ํŒจํ„ด์„ ์ˆ˜์ •ํ•˜๋Š” ๊ฒƒ์ž…๋‹ˆ๋‹ค. ์ด๊ฒƒ์€ ๋ณธ ๊ธฐ์‚ฌ์˜ ๋ฒ”์œ„๋ฅผ ๋ฒ—์–ด๋‚˜๊ธฐ ๋•Œ๋ฌธ์—, ๋” ์ด์ƒ ๋…ผ์˜๋˜์ง€ ์•Š์„ ๊ฒƒ์ž…๋‹ˆ๋‹ค.

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Figure 6. ํ•ซ ์Šคํฟ ์œ„์น˜(์™ผ์ชฝ ์œ„), ๊ณ„์ธก๋œ ์ฃผ์กฐ๋ฌผ์„ ์‚ฌ์šฉํ•˜์—ฌ ๊ณ„์‚ฐ๋œ ์—ด์  ๊ณ„์ˆ˜(์˜ค๋ฅธ์ชฝ ์œ„) ๋ฐ ์ˆ˜์ถ• ๊ฒฐํ•จ์ด ๊ด€์ฐฐ๋œ ์œ„์น˜

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Metal Casting Models

Metal Casting Models

FLOW-3D CAST๋Š” ๊ธˆ์† ์ฃผ์กฐ๋ฅผ ์œ„ํ•ด ํŠน๋ณ„ํžˆ ์„ค๊ณ„๋œ ๋‹ค์–‘ํ•œ ๋ฌผ๋ฆฌ์  ๋ชจ๋ธ์„ ํฌํ•จํ•˜๊ณ  ์žˆ์Šต๋‹ˆ๋‹ค. ์ด๋Š” ๋ชจ๋“  ์ข…๋ฅ˜์˜ ๊ธˆ์† ์ฃผ์กฐ ์šฉ๋„์™€ ๊ด€๋ จ๋œ ๋ฌธ์ œ์— ๋Œ€ํ•œ ๊ฐ€์žฅ ์ •ํ™•ํ•œ ํ•ด๊ฒฐ์ฑ…์„ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค. ์ด๋ฅผ ํ†ตํ•ด ๊ณ ๊ฐ์€ ๋ณด๋‹ค ์ ์€ ์‹œ๊ฐ„๊ณผ ๋น„์šฉ์œผ๋กœ ์ง€์†์ ์œผ๋กœ ์ฃผ์กฐ ์ˆ˜์œจ๊ณผ ํ’ˆ์งˆ์„ ๊ฐœ์„ ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

์ž์œ  ํ‘œ๋ฉด ํ๋ฆ„์„ ์ •ํ™•ํ•˜๊ฒŒ ์˜ˆ์ธกํ•  ์ˆ˜ ์žˆ๋Š” ํŠน์ˆ˜ ๊ธฐ๋Šฅ์„ ๊ฐ–์ถ˜ FLOW-3D CAST๋Š” ๊ธˆํ˜• ์šฉํƒ• ์ถฉ์ง„ ๋ฐ ๊ณต๊ธฐ ์ฃผ์ž…๊ณผ ๊ฐ™์€ ๊ด€๋ จ๋œ ๊ฒฐํ•จ์„ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ํ•˜๋Š” ๋ฐ ๊ฐ€์žฅ ์ ํ•ฉํ•ฉ๋‹ˆ๋‹ค. ๊ฐ•๋ ฅํ•˜๊ณ  ์œ ์—ฐํ•œ ์—ด์ „๋‹ฌ ๋ชจ๋ธ์€ ์‘๊ณ , ๋ƒ‰๊ฐ ์ฑ„๋„, ์—ด ๋‹ค์ด ์‚ฌ์ดํด ์‹œ๋ฎฌ๋ ˆ์ด์…˜๊ณผ ๊ฐ™์€ ๊ธˆ์†๊ณผ ๊ธˆํ˜• ์‚ฌ์ด์˜ ์—ด ๊ตํ™˜์„ ๋น ๋ฅด๊ณ  ์ •ํ™•ํ•˜๊ฒŒ ์˜ˆ์ธกํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ๊ธˆํ˜• ์šฉํƒ• ์ถฉ์ง„๊ณผ ๊ฒฐํ•ฉํ•  ์ˆ˜ ์žˆ๋Š” ์‘๊ณ  ๋ฐ ์ˆ˜์ถ• ๋ชจ๋ธ์€ ๊ณผ๋„ํ•œ ์ˆ˜์ถ•๊ณต๊ณผ ๊ธฐ๊ณต ์˜์—ญ์„ ์ •ํ™•ํžˆ ์ฐพ์•„๋‚ด์–ด ๊ฒฐํ•จ์ด ์™„ํ™”๋ฉ๋‹ˆ๋‹ค. granular media ๋ชจ๋ธ๊ณผ ์ˆ˜๋ถ„ ๊ฑด์กฐ ๋ชจ๋ธ์„ ์‚ฌ์šฉํ•˜์—ฌ ๋ชจ๋ž˜ ์ฝ”์–ด์˜ blowing๊ณผ ๊ฑด์กฐ ๊ณต์ •์„ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. FLOW-3D CAST์˜ ์œ ํ•œ ์š”์†Œ ๊ธฐ๋ฐ˜ ์—ด ์‘๋ ฅ ๋ชจ๋ธ์„ ์‚ฌ์šฉํ•˜๋ฉด, ๊ณ ๊ฐ์ด ์‘๋ ฅ์ด ๋ฐœ์ƒํ•˜๋Š” ์œ„์น˜์™€ ์ฃผ์กฐ ๋ณ€ํ˜•์ด ์ผ์–ด๋‚˜๋Š” ์ด์œ ๋ฅผ ์ •ํ™•ํ•˜๊ฒŒ ์˜ˆ์ธกํ•  ์ˆ˜ ์žˆ์œผ๋ฏ€๋กœ ์—ด ๋ณ€ํ˜• ๊ฒฐํ•จ์„ ์ œ๊ฑฐํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์ฃผ์ฒ  ๋ชจ๋ธ์€ ๊ณต์ • ๋ฐ˜์‘ํ•˜๋Š” ๋™์•ˆ ํ‘์—ฐ, ๊ฐ๋งˆ – ์ฒ  ๋ฐ ํƒ„ํ™”๋ฌผ ํ˜•์„ฑ์„ ์˜ˆ์ธกํ•˜์—ฌ, FLOW-3D CAST์˜ ์ ์šฉ ๋ฒ”์œ„๋ฅผ ํ™•์žฅํ•ฉ๋‹ˆ๋‹ค. ์ฝ”์–ด ๊ฐ€์Šค ์ œํ’ˆ ๊ตฐ์˜ ๊ณ ์œ ํ•œ ํŠน์ง•์€ ์ฝ”์–ด ๊ฐ€์Šค ์ƒ์„ฑ ๋ฐ ๋ชจ๋ž˜ ์ฝ”์–ด์—์„œ์˜ ํ๋ฆ„์„ ๋ชจ๋ธ๋ง ํ•˜์—ฌ ๊ธˆ์† ์ฃผ๋ฌผ์˜ ์ฝ”์–ด ๊ฐ€์Šค ๊ด€๋ จ ๊ฒฐํ•จ์„ ์˜ˆ์ธกํ•˜๋Š” ๋ฐ ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

FLOW-3D CAST๋Š” ๊ธˆ์† ์ฃผ์กฐ ๋ชจ๋ธ๋ง ๋ฐ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๋ถ„์•ผ์˜ ์„ ๋‘ ํ”„๋กœ๊ทธ๋žจ์ž…๋‹ˆ๋‹ค. ๊ธˆ์† ์ฃผ์กฐ ์—…๊ณ„์— ๋Œ€ํ•œ ๋‹น์‚ฌ์˜ ํ—Œ์‹ ์€ ๊ธˆ์† ์ฃผ์กฐ์™€ ๊ด€๋ จ๋œ ๋ชจ๋ธ๊ณผ ์šฉ๋„์— ๋Œ€ํ•œ ๋‹น์‚ฌ์˜ ์ง€์†์ ์ธ ๊ฐœ๋ฐœ๋กœ ์ž…์ฆ๋˜์—ˆ์Šต๋‹ˆ๋‹ค. ๋‹น์‚ฌ๋Š” ๊ณ ๊ฐ๊ณผ ์ง€์†์ ์œผ๋กœ ํ˜‘๋ ฅํ•˜์—ฌ ์‹ค์ œ ์• ํ”Œ๋ฆฌ์ผ€์ด์…˜์„ ์œ„ํ•ด ๊ฐœ๋ฐœํ•˜์—ฌ ํ’ˆ์งˆ๊ณผ ์ƒ์‚ฐ์„ฑ์„ ํ–ฅ์ƒ์‹œํ‚ค๊ณ  ์ง€์†์ ์œผ๋กœ ํ˜์‹ ํ•  ์ˆ˜ ์žˆ๋„๋ก ์ง€์›ํ•  ๊ฒƒ์ž…๋‹ˆ๋‹ค.

Jewelry Casting

Core Making

Core Making

FLOW-3D CAST์˜ ๋ชจ๋ธ๋ง ๊ธฐ๋Šฅ์„ ์‚ฌ์šฉํ•˜๋ฉด ์ฃผ์กฐ ์—”์ง€๋‹ˆ์–ด๊ฐ€ ์ฝ”์–ด ์ฃผ์ž…๊ณผ ๊ฑด์กฐ์™€ ๊ฐ™์€ ์ฝ”์–ด ์ œ์ž‘ ํ”„๋กœ์„ธ์Šค๋ฅผ ์‰ฝ๊ฒŒ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

Core Shooting

์ƒŒ๋“œ ์ฝ”์–ด๋Š” ๋ชจ๋ž˜-๊ณต๊ธฐ ํ˜ผํ•ฉ๋ฌผ์„ ์ฃผํ˜•์œผ๋กœ ๋ถ„์‚ฌํ•˜์—ฌ ์ƒ์„ฑ๋ฉ๋‹ˆ๋‹ค. ์ฃผ์กฐ ์—”์ง€๋‹ˆ์–ด์˜ ๋ชฉํ‘œ๋Š” ๋ชจ๋ž˜ ๋‚ด์˜ ๊ณต๊ธฐ ๋ถˆ์ˆœ๋ฌผ ์œ ์ž…์„ ๋ฐฉ์ง€ํ•˜๋Š” ๊ฒƒ ์ธ๋ฐ, ์ด๋•Œ ์‚ฌ์šฉ์ž๋Š” ์•ˆ์ •์ ์œผ๋กœ FLOW-3D CAST์˜ ๋ชจ๋ธ๋ง ๊ธฐ๋Šฅ์„ ํ†ตํ•ด ๋ชจ๋ž˜๊ฐ€ ์ฃผ์ž…๋˜๋Š” ๋…ธ์ฆ์˜ ๊ฐœ์ˆ˜์™€ ์œ„์น˜ ๋ฐ ๊ณต๊ธฐ๊ฐ€ ๋น ์ ธ๋‚˜๊ฐ€๋Š” ๋ฒคํŠธ ๋…ธ์ฆ์˜ ๊ฐœ์ˆ˜์™€ ์œ„์น˜๋ฅผ ๋ณ€๊ฒฝํ•˜์—ฌ ์ตœ์ ์˜ ๋…ธ์ฆ ๊ตฌ์„ฑ์„ ์–ป์„ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

Core Drying

์ฝ”์–ด ๊ฑด์กฐ ๋ชจ๋ธ์€ ๋ชจ๋ž˜๊ฐ€ ์ฝ”์–ด ๊ธˆํ˜•์œผ๋กœ ์ฃผ์ž…๋œ ํ›„ ๋‚จ์•„ ์žˆ๋Š” ์Šต๊ธฐ์˜ ๊ฑด์กฐ ๊ณผ์ •์„ ๊ณ„์‚ฐํ•ฉ๋‹ˆ๋‹ค. ์ผ๋ฐ˜์ ์œผ๋กœ ๊ฑด์กฐ๋Š” ๊ธˆํ˜•์— ์žˆ๋Š” ๋™์•ˆ ์ฝ”์–ด๋ฅผ ํ†ตํ•ด ๋œจ๊ฑฐ์šด ๊ณต๊ธฐ๋ฅผ ๋ถˆ์–ด๋„ฃ์Œ์œผ๋กœ์จ ์ด๋ฃจ์–ด์ง‘๋‹ˆ๋‹ค. ์ฝ”์–ด์˜ ์ €์˜จ ๋ถ€๋ถ„์—์„œ ๊ฐ€์—ด, ์ˆ˜๋ถ„ ์ฆ๋ฐœ ๋ฐ ์ผ์‹œ์ ์ธ ์Šต๊ธฐ ์‘๊ฒฐ์„ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ํ•˜์—ฌ ๊ฑด์กฐ ๊ณผ์ •์„ ์ตœ์ ํ™”ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์ด๋ฅผ ํ†ตํ•ด ์™„์ „ํ•œ ๊ฑด์กฐ๋ฅผ ๋ณด์žฅํ•˜๋Š” ๋™์‹œ์— ๊ณต๊ธฐ์˜ ๊ฐ€์—ด ๋ฐ ๋ฐฐ์ถœ๊ณผ ๊ด€๋ จ๋œ ์—๋„ˆ์ง€ ๋น„์šฉ์„ ์ตœ์†Œํ™”ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

Core Drying Validation

A comparison made by BMW between simulation and experiment of the drying of an inorganic core.

 

Continuous Casting

Continuous Casting

์—ฐ์† ์ฃผ์กฐ๋Š” ์šฉ๊ฐ•์ด ๋ฐ˜์ œํ’ˆ ๋นŒ๋ ›, ๋ธ”๋ฃธ ๋˜๋Š” ์Šฌ๋ž˜๋ธŒ๋กœ ์‘๊ณ ๋˜์–ด ํ›„์† ์••์—ฐ๊ธฐ์—์„œ ์••์—ฐํ•˜๋Š” ๊ณต์ •์ž…๋‹ˆ๋‹ค. ์—ฐ์† ์ฃผ์กฐ์‹œ, ์šฉ๊ฐ•์€ ๋ ˆ๋“ค์—์„œ ์ฃผ์กฐ๊ธฐ๋กœ ์ด์†ก๋ฉ๋‹ˆ๋‹ค. ์ฃผ์กฐ ์ž‘์—…์ด ์‹œ์ž‘๋˜๋ฉด ๋ ˆ๋“ค์˜ ๋ฐ”๋‹ฅ์— ์žˆ๋Š” ์Šฌ๋ผ์ด๋”ฉ ์…”ํ„ฐ๊ฐ€ ์—ด๋ฆฌ๊ณ  ์ฒ ๊ฐ•์€ ์ œ์–ด๋œ ์†๋„๋กœ ํ„ด๋””์‰ฌ ์•ˆ์œผ๋กœ ๊ทธ๋ฆฌ๊ณ  ํ„ด๋””์‰ฌ์—์„œ ํ•˜๋‚˜ ์ด์ƒ์˜ ์ฃผํ˜•์œผ๋กœ ํ๋ฆ…๋‹ˆ๋‹ค.

1950 ๋…„๋Œ€์— ์—ฐ์† ์ฃผ์กฐ๊ฐ€ ๋„์ž…๋˜๊ธฐ ์ „์— ์ฒ ๊ฐ•์€ ๊ณ ์ • ๊ธˆํ˜•์— ๋ถ“๊ณ  ์ž‰๊ณณ์„ ์„ฑํ˜•ํ–ˆ์Šต๋‹ˆ๋‹ค. ๊ทธ ์ดํ›„๋กœ ์ง€์†์ ์ธ ์ฃผ์กฐ๋Š” ์ˆ˜์œจ, ํ’ˆ์งˆ, ์ƒ์‚ฐ์„ฑ ๋ฐ ๋น„์šฉ ํšจ์œจ์„ฑ์„ ํ–ฅ์ƒ์‹œํ‚ค๊ธฐ ์œ„ํ•ด ๋ฐœ์ „ํ•ด ์™”์Šต๋‹ˆ๋‹ค. ์ฃผ์กฐ ํšŒ์‚ฌ๋Š” ๊ณต์ • ๊ฐœ์„ ์„ ์œ„ํ•ด ํ•ญ์ƒ ๋…ธ๋ ฅํ•˜๊ณ  ์žˆ์œผ๋ฉฐ, FLOW-3D CAST๋ฅผ ์‚ฌ์šฉํ•œ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์€ ๋ฌผ๋ฆฌ์  ์‹œํ–‰ ์ฐฉ์˜ค์—†์ด ๋น„์šฉ์„ ์ ˆ๊ฐํ•  ์ˆ˜ ์žˆ๋Š” ๊ธฐํšŒ๋ฅผ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค.

Semi-Continuous Casting of a 600 mm Slab with Stress Calculation

์ด ์‹œ๋ฎฌ๋ ˆ์ด์…˜์—์„œ๋Š” 600mm์ง๊ฒฝ ์Šฌ๋ž˜๋ธŒ์˜ ๋ฐ˜ ์—ฐ์† ์ฃผ์กฐ์˜ ๊ณต์ •์ด ๋ชจ๋ธ๋ง ๋ฉ๋‹ˆ๋‹ค. ์•ก์ฒด ๊ธˆ์†, A7050 ํ•ฉ๊ธˆ์€ ์„ธ๋ผ๋ฏน ๋…ธ์ฆ์„ ํ†ตํ•ด ์ƒ๋‹จ์—์„œ ๋“ค์–ด๊ฐ€ ํ‘์—ฐ ์ฃผํ˜•์„ ํ†ต๊ณผํ•˜๊ณ , ํ‘œ๋ฉด ์—ด์ „๋‹ฌ๊ณ„์ˆ˜์™€ ์ง€์ •๋œ ์˜จ๋„๋กœ ๋ชจ๋ธ๋ง ๋œ ๋ฌผ ๋ถ„๋ฌด์— ์˜ํ•ด ๋ƒ‰๊ฐ๋ฉ๋‹ˆ๋‹ค. ํ•˜๋‹จ์˜ ๊ฐ•์ฒ  ์บก์€ ๊ธˆ์†์˜ ์ด๋™์„ ์‹œ์ž‘ํ•˜์—ฌ ์•ก์ฒด ๊ธˆ์†์ด ์œ ์ถœ๋˜๋Š” ๊ฒƒ์„ ๋ฐฉ์ง€ํ•ฉ๋‹ˆ๋‹ค. ์บก์€ 0.3mm/sec์˜ ์ผ์ •ํ•œ ์†๋„๋กœ ์•„๋ž˜์ชฝ์œผ๋กœ ์ด๋™ํ•˜๋Š” General Moving Object ๋ฌผ๋ฆฌ ๋ชจ๋ธ๋กœ ๋ชจ๋ธ๋ง ๋ฉ๋‹ˆ๋‹ค. ์—ด์‘๋ ฅ ํ•ด์„ ๋ชจ๋ธ์€ ๊ท ์ผํ•˜์ง€ ์•Š์€ ๋ƒ‰๊ฐ ๋ฐ ์ˆ˜์ถ•์œผ๋กœ ์ธํ•ด ๊ณ ์ƒ ๊ธˆ์†์—์„œ ๋ฐœ์ƒํ•˜๋Š” ์‘๋ ฅ ๋ฐ ๋ณ€ํ˜•์„ ์˜ˆ์ธกํ•˜๋Š” ๋ฐ ์‚ฌ์šฉ๋ฉ๋‹ˆ๋‹ค. ์ด ์• ๋‹ˆ๋ฉ”์ด์…˜์€ Von Mises stress ๊ฒฐ๊ณผ๋ฅผ ๋ณด์—ฌ ์ฃผ๋Š”๋ฐ, 400๋ฐฐ๋กœ ํ™•๋Œ€๋œ ๊ฒฐ๊ณผ์ž…๋‹ˆ๋‹ค.

Continuous Casting Simulations

Rotational channel continuous casting example.

 

Solid fraction contours of the continuous casting process of a cylindrical steed rod using the general moving object and solidification models.

 

A 2D axisymmetric slice showing transient solidification contours through the transition region during continuous casting of a cylindrical steel rod.

Centrifugal Casting

Centrifugal Casting

์›์‹ฌ ์ฃผ์กฐ์—์„œ๋Š” ๊ธˆํ˜•์ด ๊ณ ์†์œผ๋กœ ํšŒ์ „ํ•˜๊ณ  ์šฉํ•ด๋œ ๊ธˆ์†์€ ๊ทธ ์•ˆ์œผ๋กœ ์ฃผ์ž…๋ฉ๋‹ˆ๋‹ค. ์šฉํ•ด๋œ ๊ธˆ์†์€ ๊ธˆํ˜• ๋‚ด๋ถ€์—์„œ ๋ฐ”๊นฅ์ชฝ์œผ๋กœ ๋ฐฉ์‚ฌ๋˜์–ด ๋ƒ‰๊ฐ๋˜๋ฉด์„œ ์‘๊ณ ๋ฉ๋‹ˆ๋‹ค. ์ค‘์‹ฌ ๊ฐ€์†๋„์™€ ๊ด€๋ จ๋œ ๋” ๋†’์€ ์••๋ ฅ์ด ๊ฒฐํ•จ์„ ํšŒ์ „์ถ• ์ชฝ์œผ๋กœ ๋ฏธ๋Š”๋ฐ, FLOW-3D CAST์˜ non-inertial reference frame model์€ ์†๋„์™€ ๊ฒฐํ•จ๋“ค์˜ ์œ„์น˜๋ฅผ ์ˆ˜์ •ํ•  ์ˆ˜ ์žˆ๋Š” ๊ธฐ๋Šฅ์„ ํ†ตํ•ด, ์ด๋Ÿฌํ•œ ํšŒ์ „์กฐ๊ฑด์„ ์„ค์ •ํ•˜์—ฌ ๋งค์šฐ ์ •ํ™•ํ•œ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฒฐ๊ณผ๋ฅผ ์–ป์„ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

 

Centrifugal Casting Examples

๊ฐ•์ฒ  ์ž„ํŽ ๋Ÿฌ ์›์‹ฌ ์ฃผ์กฐ ๊ณต์ •์˜ ๋ถ€๋ถ„ ์ฃผ์ž… ์‹œ๋ฎฌ๋ ˆ์ด์…˜. ํšŒ์ „ ์†๋„๋Š” 250rpm์œผ๋กœ ์„ค์ •๋˜์—ˆ์Šต๋‹ˆ๋‹ค.

FLOW-3D CAST๋Š” ์ž„ํŽ ๋Ÿฌ ๋ฒ ์ธ์„ ์ฃผ์กฐํ•  ๋•Œ ์ดˆ๊ธฐ ์‘๊ณ  ๋ฌธ์ œ๋ฅผ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ํ•˜๊ณ  ๋ณด์—ฌ ์ฃผ๋Š” ๋ฐ ์‚ฌ์šฉ๋ฉ๋‹ˆ๋‹ค.

 

Centrifugal casting simulations, courtesyย Metaltek.

Lost Foam

Gravity Pour

Gravity Pour

์ค‘๋ ฅ ์ฃผ์กฐ๋Š” ํฐ ๋ถ€ํ’ˆ(์ผ๋ฐ˜์ ์œผ๋กœ ์ฒ , ์ฒญ๋™, ํ™ฉ๋™ ๋˜๋Š” ์•Œ๋ฃจ๋ฏธ๋Š„)์„ ๋งŒ๋“œ๋Š” ๋ฐ ์‚ฌ์šฉ๋ฉ๋‹ˆ๋‹ค. ์‚ฌํ˜• ์ฃผ์กฐ ๋ฐ ์˜๊ตฌ ๊ธˆํ˜•์„ ํฌํ•จํ•œ ๋Œ€๋ถ€๋ถ„์˜ ์ฃผ์กฐ ๊ณต์žฅ ์ฃผ์กฐ ๊ณต์ •์€ FLOW-3D CAST๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ๋ชจ๋ธ๋ง ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์ฃผ์ž… ํ”„๋กœ์„ธ์Šค๋Š” ๊ณ ์•• ๋‹ค์ด ์บ์ŠคํŒ…์— ๋น„ํ•ด ๋œํ•˜์ง€๋งŒ ๊ณผ๋„ํ•œ ๊ณต๊ธฐ ์ฃผ์ž…์œผ๋กœ ์ธํ•œ ๊ณต๊ธฐ ์œ ์ž…์œผ๋กœ ์ธํ•ด ํ’ˆ์งˆ์ด ์ €ํ•˜๋  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์ฃผ์ž…ํ•˜๋Š” ๋™์•ˆ ์ž ์žฌ์  ๊ฒฐํ•จ์˜ ์œ„์น˜์™€ ์˜จ๋„์˜ ๋ณ€ํ™” ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ, ์šฉํƒ• ํ‘œ๋ฉด์˜ ์›€์ง์ž„๋„ ์ •ํ™•ํ•˜๊ฒŒ ์˜ˆ์ธก๋ฉ๋‹ˆ๋‹ค. ์ถฉ์ง„์ด ์™„๋ฃŒ๋œ ํ›„ ์šฉํƒ•์˜ ์‘๊ณ  ๋ฐ ์ˆ˜์ถ•์„ ๋ชจ๋ธ๋ง ํ•  ์ˆ˜๋„ ์žˆ์Šต๋‹ˆ๋‹ค.

 

Accurate Filling Simulations

์ฃผ์กฐ ๊ณต์ •์—์„œ ์ฃผ์ž… ์ž‘์—…์€ ๊ฒฐํ•จ๋“ค์ด ๋ผ์ด์ €๋กœ ์ด๋™ํ•˜๋Š”์ง€, ๋˜๋Š” ๋ถ€ํ’ˆ์— ๊ฐ‡ํžŒ ์ฑ„๋กœ ๋‚จ์•„ ์žˆ๋Š”์ง€ ์—ฌ๋ถ€์™€ ๊ฐ™์€ ์ฃผ์ž… ํŒจํ„ด ๋ฐ ๊ด€๋ จ ๊ฒฐํ•จ์„ ๋ถ„์„ํ•˜๋Š” ์ž‘์—…์œผ๋กœ ์ด๋ฃจ์–ด์ง‘๋‹ˆ๋‹ค. ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๋ถ„์„์„ ์‚ฌ์šฉํ•˜๋ฉด ์„ค๊ณ„์˜ ํšจ์œจ์„ฑ์„ ๊ฒ€์ฆํ•˜๊ณ  ๋น„์šฉ์„ ์ ˆ๊ฐํ•˜๋ฉด์„œ ์ƒ์‚ฐ์— ๋“ค์–ด๊ฐ€๊ธฐ ์ „์— ์„ค๊ณ„๋ฅผ ํ…Œ์ŠคํŠธํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์ฃผ์ž…์˜ ์ •ํ™•์„ฑ์€ ์‚ฐํ™”๋ฌผ์˜ ๊ฒฐํ•จ๊ณผ ๊ฐ‡ํžŒ ๊ณต๊ธฐ์˜ ์œ„์น˜๋ฅผ ์ถ”์ ํ•˜๋Š” ๋ฐ ์ค‘์š”ํ•  ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ, ์‘๊ณ  ๊ฒฐ๊ณผ์˜ ํ•ต์‹ฌ์ž…๋‹ˆ๋‹ค. ์˜ฌ๋ฐ”๋ฅธ ์ฃผ์ž… ํŒจํ„ด์€ ์ฃผ์ž… ๋งˆ์ง€๋ง‰์˜ ์˜ฌ๋ฐ”๋ฅธ ์—ด ๋ถ„ํฌ๋ฅผ ์˜๋ฏธํ•ฉ๋‹ˆ๋‹ค. ์ด ์—ด ๋ถ„ํฌ๋Š” ์‘๊ณ  ๋ถ„์„์˜ ๊ธฐ์ดˆ๊ฐ€ ๋ฉ๋‹ˆ๋‹ค.

Solidification of Castings for Foundry Applications

ํŽธ์„, ์—ด์‘๋ ฅ, ๋งˆ์ดํฌ๋กœ ๋ฐ ๋งคํฌ๋กœ ๊ธฐ๊ณต ๋“ฑ ์‘๊ณ ์™€ ๊ด€๋ จ๋œ ๋‹ค์–‘ํ•œ ๊ฒฐํ•จ๋“ค์ด ์žˆ์Šต๋‹ˆ๋‹ค. ์ •ํ™•ํ•œ ์‘๊ณ  ๊ฒฐ๊ณผ๋ฅผ ์–ป๊ธฐ ์œ„ํ•œ ์ค‘์š”ํ•œ ์ฒซ๋ฒˆ์งธ ๋‹จ๊ณ„๋Š”, ์ •ํ™•ํ•œ ์ฃผ์ž…์ž…๋‹ˆ๋‹ค. ์ •ํ™•ํ•œ ์ฃผ์ž…์€ ์‘๊ณ  ๋ชจ๋ธ๋ง์˜ ์ดˆ๊ธฐ ์กฐ๊ฑด์ธ ์˜ฌ๋ฐ”๋ฅธ ์—ด ํ”„๋กœํ•„์„ ์บก์ฒ˜ํ•˜๋Š”๋ฐ, FLOW-3D CAST๋Š” ์ฃผ์กฐ ๋ถ€ํ’ˆ์„ ๋ณด๋‹ค ์‹ ์†ํ•˜๊ฒŒ ์„ค๊ณ„ํ•˜๊ณ  ํ๊ธฐ์œจ์„ ๋‚ฎ์ถœ ์ˆ˜ ์žˆ๋Š” ๋งŽ์€ ์‘๊ณ  ๊ด€๋ จ ๊ฒฐํ•จ์„ ๊ฐ์ง€ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

Tilt Pour

Tilt Pour

๊ฒฝ๋™ ์ฃผ์กฐ์—์„œ๋Š” ๊ธˆํ˜•์ด ์ˆ˜ํ‰ ์œ„์น˜์— ์žˆ๋Š” ๋™์•ˆ ์šฉํƒ•์ด ์ฃผ์ž… ๋ž˜๋“ค์— ์ฃผ์ž…๋ฉ๋‹ˆ๋‹ค. ๊ทธ๋Ÿฐ ๋‹ค์Œ ์‚ฌ์ „์— ์„ค์ •๋œ ์‚ฌ์ดํด ์‹œ๊ฐ„์„ ์‚ฌ์šฉํ•˜์—ฌ ์ฃผ์กฐ ๊ธฐ๊ณ„๊ฐ€ ์ˆ˜์ง ์œ„์น˜๋กœ ์ƒ์Šนํ•˜๊ณ , ์šฉํƒ•์ด ๋А๋ฆฌ๊ณ  ์—ฐ์†์ ์ธ ์ฃผ์ž… ์†๋„๋กœ ๊ธˆํ˜•์œผ๋กœ ๋“ค์–ด๊ฐˆ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ๊ฒฝ๋™ ์ฃผ์กฐ ๋ฐฉ๋ฒ•์€ ๋‹ค์–‘ํ•œ ์ฃผ์กฐ ํ˜•ํƒœ๋ฅผ ๊ฐ€๋Šฅํ•˜๊ฒŒ ํ•˜๋Š” ๋Ÿฐ๋„ˆ-๊ฒŒ์ดํŠธ ์œ ์—ฐ์„ฑ ๋•Œ๋ฌธ์— ์ผ๋ฐ˜์ ์ธ ์ฃผ์กฐ ์šฉ๋„์— ์ ํ•ฉํ•ฉ๋‹ˆ๋‹ค.

Temperature profile during a tilt pour filling cycle

์•„๋ž˜์™€ ๊ฐ™์€ ์˜ˆ์—์„œ๋Š” ์ผ€์ด๋ธ” ํƒญ์œผ๋กœ ์—ฐ๊ฒฐ๋˜๋Š” ์•Œ๋ฃจ๋ฏธ๋Š„ ์ปคํ”Œ๋Ÿฌ ์ผ€์ด๋ธ”์— ๋Œ€ํ•ด ๊ฒฝ๋™ ์ฃผ์กฐ์˜ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ์ˆ˜ํ–‰ํ•˜์—ฌ, ๋ถ€ํ’ˆ์˜ ๋ฌด๊ฒฐ์„ฑ๊ณผ ํ‘œ๋ฉด ํ’ˆ์งˆ์„ ๋ณด์žฅํ–ˆ์Šต๋‹ˆ๋‹ค. ๊ฒฝ๋™ ํšŒ์ „์„ ์™„๋ฃŒํ•˜๋Š” ๋ฐ ๊ฑธ๋ฆฌ๋Š” ์‹œ๊ฐ„์€ ์ค‘์š”ํ•ฉ๋‹ˆ๋‹ค. ํšŒ์ „ ์†๋„๋Š” FLOW-3D CAST์—์„œ ์‰ฝ๊ฒŒ ์ˆ˜์ •ํ•  ์ˆ˜ ์žˆ์œผ๋ฏ€๋กœ ์‚ฌ์šฉ์ž๊ฐ€ ์ด ์†๋„๋ฅผ ์ตœ์ ํ™”ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ํšŒ์ „ ์†๋„๊ฐ€ ๋„ˆ๋ฌด ๋น ๋ฅด๋ฉด ๊ณต๊ธฐ๊ฐ€ ์œ ์ž…๋˜์–ด ๋” ๋А๋ฆฌ๊ฒŒ ํ‘œ๋ฉด ๊ฒฐํ•จ์ด ๋‚˜ํƒ€๋‚  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์˜จ๋„ ํ”„๋กœํŒŒ์ผ์€ ์ตœ๋Œ€ ๋ฐ ์ตœ์†Œ ๊ทธ๋ž˜ํ”„ ๊ฐ’์„ ๊ฐ๊ฐ ์•ก์ƒ๊ณผ ๊ณ ์ƒ ์˜จ๋„๋กœ ์„ค์ •ํ•˜์—ฌ ์‹œ๊ฐํ™” ํ•ฉ๋‹ˆ๋‹ค. ์—ฌ๊ธฐ์„œ ๋ถ€ํ’ˆ์ด ๋ฐ˜์ฏค ์ฑ„์›Œ์ ธ ์žˆ๊ณ  ์šฉํƒ• ์˜จ๋„๊ฐ€ ๊ณ ์ƒ ์˜จ๋„์— ๊ฐ€๊น์ง€ ์•Š๊ธฐ ๋•Œ๋ฌธ์— ์กฐ๊ธฐ ์‘๊ณ ๋Š” ๋‚˜ํƒ€๋‚˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค.

Simulation of the tilt pour process using FLOW-3D Cast.

Tilt pour castingย simulations

์ˆ˜์ƒ ๋ž˜ํ”„ํŒ… ์žฅ๋น„์— ์‚ฌ์šฉ๋˜๋Š” ๊ฒฝ๋Ÿ‰ ์•Œ๋ฃจ๋ฏธ๋Š„ ๋ถ€ํ’ˆ์€ ๊ณ ํ’ˆ์งˆ์˜ ๋งˆ๊ฐ์ด ํ•„์š”ํ•˜๋ฉฐ, ์ด์ƒ์ ์œผ๋กœ ํ‘œ๋ฉด์ด ์—†๊ณ  ๊ฒฐํ•จ์ด ์—†๋„๋ก ์ฃผ์กฐ๋ฉ๋‹ˆ๋‹ค. ์ด๋Ÿฌํ•œ ๊ฒฝ๋™ ์ฃผ์กฐ ํ”„๋กœ์„ธ์Šค์˜ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์€ ์ฃผ์ž… ํ”„๋กœ์„ธ์Šค๋ฅผ ํ†ตํ•ด ๊ฐ‡ํžŒ ํ‘œ๋ฉด ์‚ฐํ™”๋ฌผ ๋ฐ ์นจ์ž… ๊ณต๊ธฐ์˜ ์ž ์žฌ์  ์˜์—ญ์„ ๋ณด์—ฌ์ค๋‹ˆ๋‹ค. ์ด๋Ÿฌํ•œ ๊ฒฐ์ ์˜ ์›€์ง์ž„์„ ์•Œ๋ฉด ์ฃผ์กฐ ์—”์ง€๋‹ˆ์–ด๊ฐ€ ๋” ๋‚˜์€ ๊ฒŒ์ดํŠธ, ๋Ÿฐ๋„ˆ ๋ฐ ๋ผ์ด์ €๋ฅผ ์„ค๊ณ„ํ•˜์—ฌ, ์ฃผ๋ฌผ ๋‚ด์˜ ๊ฒฐ์ ์„ ์ œ๊ฑฐํ•˜๋Š” ๋ฐ ๋„์›€์ด ๋ฉ๋‹ˆ๋‹ค. FLOW-3D CAST๋Š” ๋…์ž์ ์ธ 6์ž์œ ๋„ ์ด๋™ ๊ธฐ๋Šฅ์„ ํ†ตํ•ด, ๊ธˆํ˜•์˜ ๋ณต์žกํ•œ ๊ฒฝ์‚ฌ ์ˆœ์„œ์™€ ๊ฐ๋„ ๊ฐ€์†๋„๋ฅผ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ํ•˜๋Š” ๋ฐ ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

Predicting metal casting defects

Surface oxide and entrained air defects in a tilt pour casting

Visualizing non-inertial reference frame motion

ย casting with non-inertial reference frame motion on the left and stationary motion on the right

 

ย blog ์—์„œ FLOW-3D CAST v4.2์˜ FlowSight ์— ๋Œ€ํ•ด ์ž์„ธํžˆ ์•Œ์•„๋ณด์‹ญ์‹œ์˜ค.

 

Low Pressure Die Casting

LPDC (Low Pressure Die Casting)

High Pressure Die Casting

Permanent Mold

Permanent Mold

์˜๊ตฌ ๊ธˆํ˜•๊ณผ ๋ชจ๋ž˜ ๊ธˆํ˜•์˜ ์ฐจ์ด์ ์€ ์˜๊ตฌ ๊ธˆํ˜•์„ ์žฌ์‚ฌ์šฉ ํ•  ์ˆ˜ ์žˆ๋‹ค๋Š” ๊ฒƒ์ž…๋‹ˆ๋‹ค. ๊ธˆํ˜•์„ ์žฌ์‚ฌ์šฉํ•˜๋Š” ์ฃผ์กฐ ๊ณต์ •์—๋Š” ์ค‘๋ ฅ, ๊ฒฝ๋™, ์ €์•• ๋‹ค์ด์บ์ŠคํŒ… ๋ฐ ๊ณ ์•• ๋‹ค์ด ์บ์ŠคํŒ…์ด ํฌํ•จ๋ฉ๋‹ˆ๋‹ค. ์˜๊ตฌ ๊ธˆํ˜•์—๋Š” ๊ธˆ์†๊ณผ ํ‘์—ฐ์˜ ๋‘ ๊ฐ€์ง€ ์œ ํ˜•์ด ์žˆ๊ณ  ๋ชฐ๋“œ ์œ ํ˜•์˜ ์‚ฌ์šฉ์€ ์ฃผ์กฐ ๊ธˆ์†์— ๋‹ฌ๋ ค ์žˆ์Šต๋‹ˆ๋‹ค. ๊ธˆ์† ์ฃผํ˜•์— ์‚ฌ์šฉ๋˜๋Š” ์ฃผ์กฐ ๊ธˆ์†์€ ์•Œ๋ฃจ๋ฏธ๋Š„, ๊ตฌ๋ฆฌ ํ•ฉ๊ธˆ, ์•„์—ฐ ๋ฐ ๋งˆ๊ทธ๋„ค์Š˜์„ ํฌํ•จํ•ฉ๋‹ˆ๋‹ค. ํ‘์—ฐ ์ฃผํ˜•์— ์‚ฌ์šฉ๋˜๋Š” ์ฃผ์กฐ ๊ธˆ์†์€ ๊ฐ• ๋ฐ ์ฒ ์ž…๋‹ˆ๋‹ค. ๋˜ํ•œ ๋‚ด๋ถ€ ๊ณต๋™์„ ์ƒ์„ฑํ•˜๊ธฐ ์œ„ํ•ด ์ƒŒ๋“œ ์ฝ”์–ด๋ฅผ ์‚ฌ์šฉํ•˜๋Š” ๋ฐ˜์˜๊ตฌ์ ์ธ ๊ธˆํ˜•์ด ์žˆ์Šต๋‹ˆ๋‹ค. FLOW-3D CAST๋Š” ๊ธˆํ˜•์˜ ์ถฉ์ง„, ์‘๊ณ  ๋ฐ ์—ด์‘๋ ฅ๊ณผ ๊ด€๋ จ๋œ ์ฃผ์กฐ ๊ฒฐํ•จ์„ ํฌ์ฐฉํ•˜์—ฌ ์ฒ˜์Œ ํ”„๋กœ์„ธ์Šค๋ฅผ ์˜ฌ๋ฐ”๋ฅด๊ฒŒ ์„ค๊ณ„ํ•˜๊ณ  ๊ถ๊ทน์ ์œผ๋กœ ์‹œ๊ฐ„๊ณผ ๋น„์šฉ์„ ์ ˆ์•ฝ ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

Simulation of a low pressure die casting showing the filling temperature of a tire rim.

 

Customer Examples of Permanent Mold Castings

Courtesy Peugeot PSACourtesy Littler DiecastCourtesy SANDEN Manufacturing

Validations

Validations

๊ธˆ์† ์ฃผ์กฐ ์„ค๊ณ„ ๊ณผ์ •์—์„œ FLOW-3D CAST์˜ ์‚ฌ์šฉ์€ ํšŒ์‚ฌ์˜ ๋น„์šฉ ์ ˆ๊ฐ ๋ฐฉ์•ˆ์„ ์ œ์‹œํ•˜์—ฌ ์ˆ˜์ต์„ฑ์„ ๊ฐœ์„ ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. FLOW-3D CASTย ๋Š” ์—”์ง€๋‹ˆ์–ด์™€ ์„ค๊ณ„์ž์—๊ฒŒ ๊ฒฝํ—˜๊ณผ ์ „๋ฌธ์ง€์‹์„ ํ–ฅ์ƒ์‹œํ‚ฌ ์ˆ˜ ์žˆ๋Š” ๊ฐ•๋ ฅํ•œ ๋„๊ตฌ๊ฐ€ ๋  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ๋ณดํ†ต ์ˆ˜์ต์„ฑ์€ ๋น„์šฉ ์ ˆ๊ฐ๊ณผ ๋น„์šฉ ํšŒํ”ผ์—์„œ ์ฐพ์„ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์ง€๊ธˆ, ํ’ˆ์งˆ๊ณผ ์ƒ์‚ฐ์„ฑ ๋ฌธ์ œ๋Š” ์ œํ’ˆ๊ฐœ๋ฐœ ๋‹จ๊ณ„์—์„œ ๋‹ค์–‘ํ•œ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ํ†ตํ•ด ์งง์€ ๊ณต์ •์‹œ๊ฐ„, ๋‚ฎ์€ ๋น„์šฉ์œผ๋กœ ํ•ด๊ฒฐ ํ•  ์ˆ˜ ์žˆ๋Š” ๋ฐฉ์•ˆ์„ ์ฐพ์„ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์ƒˆ๋กœ์šด ๊ฐœ๋ฐœ๋„๊ตฌ์ธ FLOW-3D CAST์˜ ํšจ์œจ์„ฑ์€ ์ƒ์‚ฐ์ด ์‹œ์ž‘๋˜๊ธฐ ์ „์— ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•  ์ˆ˜ ์žˆ๋Š” ๋ฐฉ์•ˆ์„ ์ œ์‹œํ•˜์—ฌ ์ƒ์‚ฐ์„ฑ์„ ํฌ๊ฒŒ ๊ฐœ์„ ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

Ladle Pour

์ƒท ์Šฌ๋ฆฌ๋ธŒ ๊ณต์ •์„ ์ตœ์ ํ™”ํ•˜๋Š” ๊ฒƒ์€ ๊ณ ํ’ˆ์งˆ ๋ถ€ํ’ˆ์„ ํ™•๋ณดํ•˜๋Š” ๋ฐ ํ•„์ˆ˜์ ์ž…๋‹ˆ๋‹ค. FLOW-3D CAST์˜ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฒฐ๊ณผ์™€ ์‹ค์ œ ์‚ฌ๋ก€์˜ ๋น„๊ต๋ฅผ ํ†ตํ•ด, ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ์‚ฌ์šฉํ•˜์—ฌ ์—”์ง€๋‹ˆ์–ด๊ฐ€ ๊ฐ’ ๋น„์‹ผ ํˆด๋ง์„ ์ œ์ž‘ํ•˜๊ธฐ ์ „์— ์„ค๊ณ„๋ฅผ ๊ฐœ์„ ํ•˜๋Š” ๋ฐฉ๋ฒ•์„ ๊ฐ•์กฐํ•ฉ๋‹ˆ๋‹ค. FLOW-3D CAST๋Š” ํ”„๋กœ์„ธ์Šค ์ „๋ฐ˜์— ๊ฑธ์ณ ์œ ์ฒด์˜ ์›€์ง์ž„์„ ์ •ํ™•ํ•˜๊ฒŒ ํฌ์ฐฉํ•  ์ˆ˜ ์žˆ์œผ๋ฏ€๋กœ, ์—”์ง€๋‹ˆ์–ด๊ฐ€ ์‹ค์ œ ๋ ˆ๋“ค ์ฃผ์ž… ๊ณต์ •์—์„œ ์‹ ์†ํ•˜๊ฒŒ ํŒŒ์•…ํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค. ์‹œ๋ฎฌ๋ ˆ์ด์…˜์€ Nemak Poland Sp. z o.o๋กœ๋ถ€ํ„ฐ ์ œ๊ณต๋ฐ›์•˜์Šต๋‹ˆ๋‹ค.

Gravity Casting

์—ด์ „๋Œ€ ๋ฐ์ดํ„ฐ๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ ํ•œ ์‹ค์ œ ์ถฉ์ง„ ์žฌ๊ตฌ์„ฑ๊ณผ ๋น„๊ต ํ•œ ์ค‘๋ ฅ ์ฃผ์กฐ ์‹œ๋ฎฌ๋ ˆ์ด์…˜. Courtesy of XC Engineering and Peugeot PSA.

Foundry: Simulating a Flow Fill Pattern


์‚ฌํ˜• ์ฃผ์กฐ ์ถฉ์ง„์ค‘์˜ X- ๋ ˆ์ด ๊ฒ€์ฆ

X -๋ ˆ์ด ๊ฒฐ๊ณผ์™€ FLOW-3D CAST ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฒฐ๊ณผ๋ฅผ ๋‚˜๋ž€ํžˆ ๋น„๊ตํ•ฉ๋‹ˆ๋‹ค. A356 ์•Œ๋ฃจ๋ฏธ๋Š„ ํ•ฉ๊ธˆ์œผ๋กœ ์‚ฌํ˜• ์ฃผ์กฐ์˜ 3 ์ฐจ์› ์ถฉ์ง„ ์ƒ‰์ƒ์€ ๊ธˆ์†์˜ ์••๋ ฅ์„ ๋‚˜ํƒ€๋ƒ…๋‹ˆ๋‹ค. ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฒฐ๊ณผ๋Š” ์ˆ˜์ง ๋Œ€์นญ ํ‰๋ฉด์— ํ‘œ์‹œ๋ฉ๋‹ˆ๋‹ค. Modeling of Casting, Welding, and Advanced Solidification Processes VII, London, 1995.

HPDC: Flow Pattern


Short sleeve validation –ย ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฒฐ๊ณผ์™€ ์ฃผ์กฐ ๋ถ€ํ’ˆ, Littler Diecast Corporation์˜ ์˜ˆ

Modeling Air Entrapment


๋””์ ค ์—”์ง„ ์šฉ ์˜ค์ผ ํ•„ํ„ฐ ํ•˜์šฐ์ง•์˜ X-ray vs. FLOW-3D CAST ๊ฒ€์ฆ.

๋””์ ค ์—”์ง„ ์šฉ ์˜ค์ผ ํ•„ํ„ฐ ํ•˜์šฐ์ง•์˜ X- ๋ ˆ์ด ๊ฒ€์ฆ, 380 ๋‹ค์ด์บ์ŠคํŒ… ํ•ฉ๊ธˆ. ๊ฒฐ๊ณผ๋Š” ํ˜ผ์ž… ๋œ ๊ณต๊ธฐ์˜ ๋น„์œจ๋กœ ํ‘œ์‹œ๋ฉ๋‹ˆ๋‹ค. X- ๋ ˆ์ด์˜ ์ƒ์„ธํ•œ ์˜์—ญ์€ ์ตœ๋Œ€ ๋‹ค๊ณต๋„ ๋†๋„๋ฅผ ๋‚˜ํƒ€๋ƒ…๋‹ˆ๋‹ค.

HPDCย Filling


FLOW-3D ๊ฒฐ๊ณผ๋ฅผ ์‹ค์ œ ๋ถ€ํ’ˆ๊ณผ ๋น„๊ตํ•˜๋Š” HPDC ์บ์ŠคํŒ… ๊ฒ€์ฆ

Short Shot Simulation


์‹ค์ œ ์ฃผ์กฐ ๋ถ€ํ’ˆ์˜ ์œ ํšจ์„ฑ ๊ฒ€์‚ฌ. ์Šค๋ƒ… ์ƒท๊ณผ FLOW-3D CAST ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฒฐ๊ณผ. ์™ผ์ชฝ์—์„œ ์˜ค๋ฅธ์ชฝ์œผ๋กœ : ๋ณ€์†๊ธฐ ํ•˜์šฐ์ง•, ์˜ค์ผ ํŒฌ ๋ฐ ์ž๋™์ฐจ ๋ถ€ํ’ˆ.

HPDC Air Entrapment Defects


Antrametal์— ์˜ํ•œ ์ฃผ์กฐ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๋Œ€ ์‹คํ—˜ ๊ฒฐ๊ณผ์˜ ์„ฑ๊ณต์ ์ธ ๋น„๊ต.

Antmetetal์˜ ๊ณ ๊ฐ ๊ฒ€์ฆ์€ FLOW-3D CAST์˜ Air Entrapment ๋ชจ๋ธ์„ ์‚ฌ์šฉํ•˜์—ฌ ์‹คํ—˜ ๊ฒฐ๊ณผ์™€ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ๋น„๊ต ํ•œ ๊ฒฐ๊ณผ๋ฅผ ๋ณด์—ฌ์ค๋‹ˆ๋‹ค. ์„ธํƒ๊ธฐ ์šฉ ์ „๋™ ๋ชจํ„ฐ์˜ ์•ž ์ปค๋ฒ„์˜ HPDC์ž…๋‹ˆ๋‹ค. ๊ณต๊ธฐ ๊ด€๋ จ ๊ฒฐํ•จ์€ ์ด๋ฏธ์ง€์˜ ์ƒ‰์ƒ์— ์ • ์„ฑ์ ์œผ๋กœ ํ‘œ์‹œ๋ฉ๋‹ˆ๋‹ค. FLOW-3D CAST ๋‚ด์˜ ๋‹ค๋ฅธ ์ˆ˜์น˜ ๊ธฐ๋Šฅ์— ์˜ํ•ด ํฌ์ฐฉ ๋œ ๋ฌผ๋ฆฌ์  ๊ณต๊ธฐ ํฌ์ผ“ ๋˜ํ•œ ๋ช…ํ™•ํ•˜๊ฒŒ ํ‘œํ˜„๋ฉ๋‹ˆ๋‹ค.

Core Drying


์‹œ๋ฎฌ๋ ˆ์ด์…˜๊ณผ ๋ฌด๊ธฐ ์ฝ”์–ด์˜ ๊ฑด์กฐ ์‹คํ—˜ ์‚ฌ์ด์˜ BMW์— ์˜ํ•œ ๋น„๊ต.

Predicting Die Erosion


์บ๋น„ํ…Œ์ด์…˜์œผ๋กœ ์ธํ•œ ๋‹ค์ด ์นจ์‹ ์˜์—ญ์€ FLOW-3D CAST ๊ฒฐ๊ณผ๋ฅผ ์‹ค์ œ ์‚ฌ๋ก€์™€ ๋น„๊ตํ•˜์—ฌ ์˜ฌ๋ฐ”๋ฅด๊ฒŒ ๋ฐฐ์น˜๋˜์—ˆ์Šต๋‹ˆ๋‹ค.

Predicting Lost Foam Filling


Lost foam L850 ๋ธ”๋ก ๋ฒŒํฌ ํ—ค๋“œ ์Šฌ๋ผ์ด์Šค์— ๋Œ€ํ•œ ์‹ค์‹œ๊ฐ„ X-ray ๋ฐ FLOW-3D CAST ์œ ๋™ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฒฐ๊ณผ์˜ ๋น„๊ต. ์‹œ๋ฎฌ๋ ˆ์ด์…˜์€ GM Powertrain์˜ ์˜ˆ์ž…๋‹ˆ๋‹ค.

Porosity Defects


Porosity due to entrained air

Predictingย Shrinkage Porosity


A380 diesel engine block casting