4.4 Review

Phase-field Modeling and Simulation of Solid-state Phase Transformations in Steels

Journal

ISIJ INTERNATIONAL
Volume 63, Issue 3, Pages 395-406

Publisher

IRON STEEL INST JAPAN KEIDANREN KAIKAN
DOI: 10.2355/isijinternational.ISIJINT-2022-343

Keywords

phase-field method; steel; solid-state phase transformation; microstructural evolution

Ask authors/readers for more resources

The phase-field method is a powerful computational approach for simulating microstructural evolution in solid-state phase transformations in iron and steel. This review covers the basic theory and recent advances in phase-field modeling and simulation of various phase transformations. It highlights the potential of the phase-field method for studying microstructural evolutions during phase transformations and suggests areas for further improvement.
The phase-field method is used as a powerful and versatile computational method to simulate the microstructural evolution taking place during solid-state phase transformations in iron and steel. This review presents the basic theory of the phase-field method and reviews recent advances in the phase-field modeling and simulation of solid-state phase transformations in iron and steel, with particular attention being paid to the modeling of the austenite-to-ferrite, pearlitic, bainitic, and martensitic transformations. This review elucidates that the phase-field method is a promising computational approach to investigate the microstructural evolutions (e.g., interface migration, solute diffusion, and stress/strain evolutions) that take place during the phase transformations. It also indicates that further improvements are required to enhance the predictive accuracy of the phase-field models developed to date. Finally, this review discusses the critical challenges and perspectives for the further improvement of the phase-field modeling of solidstate phase transformations in steel, i.e., the modeling of heterogeneous nucleation, the abnormal effect of the diffusion interface, and material parameter identification.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.4
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available