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Status of Computational Fluid Dynamics and Its Application to Materials Manufacturing

Published online by Cambridge University Press:  29 November 2013

Ikuo Sawada ,
Hiroyuki Tanaka  and
Masahiro Tanaka
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Extract

Computational fluid dynamics was born principally in the aerospace field as a method for fluid flow and heat transfer research methods following experimental and analytical approaches. Along with progress in the cost performance of computers, computational fluid dynamics is now establishing itself as a tool to improve production processes and product quality in the steel, nonferrous metals, glass, plastics, and composite materials industries.

Materials manufacturers use computational fluid dynamics for diverse purposes:

  • 1. Reduction in experimental conditions and costs;

  • 2. Detailed analysis of mechanisms with multifaceted information unobtainable through experimentation;

  • 3. Universal tool for scale-up; and

  • 4. Evaluation of novel processes.

It can be readily imagined that accuracy, flexibility, and other requirements of computational fluid dynamics should vary with specific applications.

Fluids generally observed in materials manufacturing processes are molten materials such as metal, glass, and plastics, and gases for stirring and refining. In the flow of such fluids, materials quality and process characteristics are governed by the following:

  1. 1. Transport phenomena in the bulk region (where fluid flow is normally turbulent);

  2. 2. Chemical reaction at interfaces;

  3. 3. Transport phenomena in boundary layers near the interfaces; and

  4. 4. Complex coupled phenomena (heat transfer, diffusion, chemical reaction, phase transformation like solidification, free surface, electromagnetic force, and bubble flow).

Type
Mathematical Modeling of Materials Processing
Information
MRS Bulletin , Volume 19 , Issue 1 , January 1994 , pp. 14 - 19
Copyright
Copyright © Materials Research Society 1994

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References

1.Anderson, D.A., Tannehill, J.C., and Pletcher, R.H., Computational Fluid Mechanics and Heat Transfer (McGraw-Hill, 1984).Google Scholar
2.Harlow, F.H., Welch, J.E., Phys. Fluids 8 (1965) p. 2182.CrossRefGoogle Scholar
3.Bird, R.B., Transport Phenomena (John Wiley & Sons, 1960).Google Scholar
4.Tanahashi, T., Kikai no Kenkyu 37 (1985) p. 383.Google Scholar
5.Roach, P.J., Computational Fluid Dynamics (Hermosa Publishers, 1976).Google Scholar
6.Sawada, I., Tanaka, H., and Yoneyama, H., CAMP-ISIJ 3 (1990) p. 1091.Google Scholar
7.Freitas, J.R., Int. J. Numer. Meth. Fluids 5 (1985) p. 561.CrossRefGoogle Scholar
8.Shirayama, S. and Kuwahara, K., AIAA paper 87-0461 (1987).Google Scholar
9.Koto, A., Yokokawa, M., Sumiyoshi, M., Akiyama, M., and Nakanishi, J., Trans. Jpn. Soc. Mech. Eng. B 55 (1989) p. 3011.Google Scholar
10.Leonard, B.P., Proc. 2nd National Symp. Numerical Properties and Methodologies in Teat Transfer (1983) p. 211.Google Scholar
11.Kawamura, T. and Kuwahara, K., AIAA paper 84-0340 (1984).Google Scholar
12.Launder, B.E. and Spalding, D.B., Computer Methods in Appl. Mech. Eng. 3 (1974) p. 269.CrossRefGoogle Scholar
13.Launder, B.E., J. Fluid Mech. 68 (1975) p. 537.CrossRefGoogle Scholar
14.Deardorff, J.W., J. Fluid Mech. 41 (1970) p. 453.CrossRefGoogle Scholar
15.Spitzer, K.H., Dubke, M., and Schwerdtfegger, K., Metall. Trans. B 17B (1986) p. 119.CrossRefGoogle Scholar
16.Robinson, T. and Larsson, K., J. Fluid Mech. 60 (1973).CrossRefGoogle Scholar
17.Taberlet, E. and Fautrelle, Y.R., Single- and Multi-Phase Flows in an Electromagnetic Field (Martin Summerfield Series 100).Google Scholar
18.Lam, C.K.G. and Bremhorst, K., Trans. ASME, J. Fluids Eng. 103 (1981) p. 456.CrossRefGoogle Scholar
19.Morinishi, Y. and Kobayashi, T., Proc. Engineering Turbulence Modeling and Experiments (1990) p. 279.Google Scholar
20.Hayashi, Y., Murakami, S., Mochida, T., Kondo, Y., and Tanaka, T., Summaries of Technical Papers of Annual Meeting (Environmental Engineering) (Architectural Institute of Japan, 1990) p. 521.Google Scholar
21.Charkraborty, S. and Sahai, Y., Proc. IISC 3 (1990) p. 189.Google Scholar
22.Murayama, N., Osaki, M., Kimura, H., Uehara, A., Tsutsumi, N., and Mori, M., in Reference 21, p. 424.Google Scholar
23.Zhu, M., Sawada, I., Matsumiya, T., Hsiao, T., and Fuwa, T., to be published in ISIJ-International.Google Scholar
24.Castillejos, A.H. and Brimacombe, J.K., Metall. Trans. 20B (1989) p. 603.CrossRefGoogle Scholar
25.Mietz, J. and Oeters, A., Steel Res. 60 (1989) p. 387.CrossRefGoogle Scholar
26.Ramachandran, P.A. and Dudukovic, M.P., J. Cryst. Growth 71 (1985) p. 399.CrossRefGoogle Scholar