The Influence of Solution-Model Complexity on Phase Diagram Prediction

Author

Mark E. Schlesinger, Missouri University of Science and TechnologyFollow
Joseph William Newkirk, Missouri University of Science and TechnologyFollow

Abstract

In the derivation of phase diagrams using solid- and liquid-solution thermodynamic equilibria, thermodynamic models are used to extrapolate experimental data to a broader range of compositions and temperatures. Such models have historically increased in complexity from the regular-solution formalism, with regard to both temperature and composition dependence of parameters. The regular, quasi-regular, subsubregular, and quasi-subsubregular models have been applied to existing thermodynamic data for four "simple" metallic systems of differing types (Cu-Ni, Pb-Ag, Sn-Zn, and Ge-Mg) to illustrate the effect of more accurate thermodynamic modeling on the resulting predicted phase diagrams. Comparison with the actual phase diagrams demonstrates the relative importance of"nonregularity" in the solution with regard to both composition and temperature in the accuracy of phase diagram prediction.

Recommended Citation

M. E. Schlesinger and J. W. Newkirk, "The Influence of Solution-Model Complexity on Phase Diagram Prediction," Journal of Phase Equilibria, vol. 14, no. 1, pp. 54 - 60, Springer Verlag, Feb 1993.

The definitive version is available at https://doi.org/10.1007/BF02652161

Department(s)

Materials Science and Engineering

International Standard Serial Number (ISSN)

1054-9714

Document Type

Article - Journal

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 1993 Springer Verlag, All rights reserved.

Publication Date

01 Feb 1993