镁合金高温本构模型研究进展

doi:10.11896/cldb.24110218

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Abstract Magnesium alloys are prone to defects such as microcracks, shrinkage porosity, and segregation during the forming process, which restricts their broader application. To address this, a comprehensive study of the rheological behavior during the forming process of magnesium alloys is crucial. Specifically, the development of constitutive models plays a key role in enabling the production of low-cost, high-quality magnesium alloy components and ensuring the reliability and accuracy of virtual manufacturing. This paper offers a thorough review of the constitutive models used in high-temperature forming of magnesium alloys in recent years, which mainly cover classical models, including both phenomenological and physics-based approaches, such as the Johnson-Cook, Arrhenius, and Zerilli-Armstrong models;multiscale models, such as crystal plasticity finite element models, phase-field models, and molecular dynamics models;and machine learning-based models, including artificial neural networks, support vector machines, and deep learning models. And also analyzes the suitability, advantages, and disadvantages of each model and anticipates future directions in the development of constitutive models for magnesium alloys, providing valuable theoretical insights for the advancement of new magnesium alloys and processing techniques.

Key words： magnesium alloy classical constitutive model multiscale constitutive model machine learning constitutive model numerical simulation high temperature forming

Published: 10 December 2025 Online: 2025-12-03

CLC number:

TG146

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	Articles by authors
	QIN Long
	HE Jianli
	DONG Wangpeng
	HUANG Shaobo
	WANG Hui
	WANG Zhihai

Cite this article:

QIN Long,HE Jianli,DONG Wangpeng, et al. Research Progress on High-temperature Constitutive Models of Magnesium Alloys[J]. Materials Reports, 2025, 39(23): 24110218-8.

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https://www.mater-rep.com/EN/10.11896/cldb.24110218 OR https://www.mater-rep.com/EN/Y2025/V39/I23/24110218

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