Hostname: page-component-76fb5796d-45l2p Total loading time: 0 Render date: 2024-04-25T17:27:23.979Z Has data issue: false hasContentIssue false

Modeling of the Solidification Process—Historical Survey

Published online by Cambridge University Press:  29 November 2013

John Âgren*
Affiliation:
Royal Institute of Technology
Get access

Extract

The modeling of solidification processes is a broad field covering many different types of activities. On one level, technical aspects of casting processes are investigated by computer simulations. The modeling is then a tool for the designer and the calculations may even be integrated with a CAD/CAM system. A more fundamental level may consider how the microstructure develops during solidification and how it can be controlled. This article gives a brief historical survey of the modeling of solidification processes.

A well-known rule of thumb, often given in textbooks, states that the solidification time for a simple casting is proportional to its squared volume-to-area ratio. This rule is named after Chovrinov, who verified it experimentally in 1940. The mathematical treatment of solidification, however, has a much older tradition started more than 100 year s earlier in 1831 when Lamé and Clapeyron analyzed the growth of a solid crust generated by cooling a liquid. Their analysis showed that the thickness of the solid is proportional to the square root of time, which is also the essence of Chovrinov's rule. Their basic idea was that the solidification rate was controlled by the removal of latent heat. That idea may seem quite obvious to us, but a necessary pre-equisite for it is the concept of heat as quantifiable and transportable. Actually, Fourier had made his mathematical analysis of heat propagation only 20 years earlier and had won the prize of the French Academy of Sciences in 1811 for his contribution.

Type
Technical Features
Copyright
Copyright © Materials Research Society 1986

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1.Chovrinov, N., Giesserei, 27(1940) p. 177.Google Scholar
2.Lamé, G. and Clapeyron, B.P., Ann. Chim. Phys., 47(1831) p. 250.Google Scholar
3.Fourier, J.G., Theorie analyitique de la chaleur. (Oeuvres de Fourier 1822) See : I. Pigogin and I. Stengers, Order out of Chaos, Bantam Books (1984).Google Scholar
4.Stefan, J., S.-B. Wien. Akad. Mat. Natur. 98 (1889) p. 173.Google Scholar
5.Murray, W.P. and Landis, F., Trans. ASME, 81 (1959) p. 106.CrossRefGoogle Scholar
6.Shamsundar, N., in Moving Boundary Problems edited by Wilson, D.G., Solomon, A.D., and Boggs, P.T., Academic Press, New York (1978) p. 165.Google Scholar
7.Gulliver, G.H., J. Inst, of Metals, 9 (1913) p. 120.Google Scholar
8.Scheil, E., Z. Melallk., 34 (1942) p. 70.Google Scholar
9.Hayes, A. and Chipman, J., Trans. TMS-AIME, 135(1939) p. 85.Google Scholar
10.Brody, H.D. and Flemings, M.C., Trans. TMS-AIME, 236 (1966) p. 615.Google Scholar
11.Kaufman, L. and Bernstein, H., Computer Calculation of Phase Diagrams, Academic Press, New York (1970).Google Scholar
12.Thompson, W.T., Bale, C.W., and Pelton, A.D., CALPHAD, 7(1983) p. 113.CrossRefGoogle Scholar
13.Sundman, B., Jansson, B., and Andersson, J.-O., CALPHAD, 9 (1985) p. 153.CrossRefGoogle Scholar
14.Fowler, R. and Guggenheim, E.A., Statistical Thermodynamics (1948).Google Scholar
15.Agren, J. and Vassilev, G.P., Mat. Sci. Eng., 64(1984) p. 95.CrossRefGoogle Scholar