Development of Integrated Computational Materials Engineering (ICME) Model for Mg Alloy Design and Process Optimization

Hui Su, Zhifei Yan, Yingchun Tian, Chengpeng Xue, Shuo Wang, Guangyuan Tian, Xinghai Yang, Quan Li, Xuelong Wu, Zhongyao Li, Junsheng Wang*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Integrated computational materials engineering (ICME) has emerged to be one of the most powerful materials genome engineering (MGE) approaches in designing new materials and manufacturing processes in recent years. It has successfully deployed many new products for the electronic, automotive, and aerospace industries. This paper reviews the current status of research on first principles in the design of high-strength Mg alloys, discusses the application of crystal plasticity finite element models to the microscale slip, twinning, microstructure morphology, texture evolution, and macroscopic forming of Mg alloys, and introduces the research progress of crystal plasticity finite element models and phase field models, meta cellular automata models and first principles coupled models respectively, around the need for multi-scale coupled simulations of Mg alloys. The key technology obstacles of integrating the first principles, crystal plasticity finite element, and microstructure models for Mg alloys have been solved. This paper can provide a reference for the design of new Mg alloy compositions and the development of high-performance Mg alloys.

Original languageEnglish
Pages (from-to)422-442
Number of pages21
JournalJournal of Beijing Institute of Technology (English Edition)
Volume32
Issue number4
DOIs
Publication statusPublished - Sept 2023

Keywords

  • Mg alloys
  • crystal plasticity finite elements
  • first-principles
  • microstructure

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Su, H., Yan, Z., Tian, Y., Xue, C., Wang, S., Tian, G., Yang, X., Li, Q., Wu, X., Li, Z., & Wang, J. (2023). Development of Integrated Computational Materials Engineering (ICME) Model for Mg Alloy Design and Process Optimization. Journal of Beijing Institute of Technology (English Edition), 32(4), 422-442. https://doi.org/10.15918/j.jbit1004-0579.2023.048