4.5 Article

Mapping of multiphase field model parameters to physical factors in order to simulate desired phase transformations

期刊

COMPUTATIONAL MATERIALS SCIENCE
卷 226, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.commatsci.2023.112227

关键词

Phase field modelling; Multi-phase field modelling; Microstructure simulation; Phase transformation; Diffuse interface; Multi-phase system; Peritectic solidification; Eutectic solidification

向作者/读者索取更多资源

The multiphase field modelling is a powerful tool for understanding complex material transformation phenomena. The Ohno and Matsuura model, although consistent, faces challenges in numerical implementation due to the complicated nature of equations and the need for detailed understanding of the model parameters. This study utilizes an FEM based solver to investigate the use and impact of parameters on interface characteristics in a multiphase field model, and demonstrates how the model parameters can be adjusted to simulate common types of phase transformation.
The multiphase field modelling is a powerful tool to understand sufficiently complicated material transforma-tion phenomena. The numerical implementation of this modelling technique faced many challenges and finally Ohno and Matsuura (2009) provided a consistent model which overcame some of the numerical artifacts of its predecessors. However, the Ohno and Matsuura model has not had a robust numerical implementation. This difficulty in implementation is due to the complicated nature of equations that arise from the model. Furthermore, fitting the model for the desired problem needs a thorough understanding of the behaviour of the model parameters. Hence, this work uses an FEM based solver to understand the use of parameters in a multiphase field model and their effect on interface characteristics. Finally, it is shown how the parameters of the model can be tuned to simulate common types of phase transformation.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据