Computational Materials Science2022,Vol.2069.DOI:10.1016/j.commatsci.2022.111251

Fast prediction of phase equilibrium at varying temperatures for use in multi-component phase field models

Li, Z. Greenwood, M. Phillion, A. B.
Computational Materials Science2022,Vol.2069.DOI:10.1016/j.commatsci.2022.111251

Fast prediction of phase equilibrium at varying temperatures for use in multi-component phase field models

Li, Z. 1Greenwood, M. 1Phillion, A. B.1
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作者信息

  • 1. McMaster Univ
  • 折叠

Abstract

A new method for temperature-dependent phase equilibrium prediction for use in multi-component phase field models of solidification is proposed. The method consists of two parts. First, the convex hull method is applied to predict the phase equilibrium at a single temperature. Second, a set of linear equations is developed to extend the equilibrium calculation over a range of temperatures. These linear equations are derived as an extension of the equation used for solidification of binary alloys in approximating the equilibrium state of multi-component systems. Phase field simulations of solidification of a Ti-Al-V-Fe alloy are performed to demonstrate the effectiveness of the present approach under isothermal and continuous cooling conditions. The results are compared against Thermo-Calc calculations, and indicate that a high accuracy of equilibrium prediction is achieved at a single and multiple temperatures, thus demonstrating that this approach can be successfully applied to the multi-component phase field models.

Key words

Phase field model/Multi-component alloys/Phase equilibrium/Solidification/SIMULATION/SOLIDIFICATION/ALLOYS/GROWTH

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出版年

2022
Computational Materials Science

Computational Materials Science

EISCI
ISSN:0927-0256
被引量1
参考文献量26
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