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Physics-data dual-driven constitutive modeling and dynamic recrystallization behavior of 36CrNi3MoV steel

delete2026-08-04
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PRE
AI
F
Feng Mao *
Y
Yi Zhong
X
Xin Li *
R
Ruxing Shi
C
Chong Chen
H
Hua Yu
L
Liujie Xu
K
Kunming Pan
S
Shizhong Wei *
DOI：10.1016/j.matchar.2026.116891delete
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Abstract

Abstract

En 中文
• Developed physics-informed XGB framework for DRX prediction. • GA optimization improves flow stress prediction accuracy. • SHAP reveals strain rate and temperature dominance. • Optimal DRX window identified at 1050–1100 °C.
Keywords:
36CrNi3MoV steel
Dynamic recrystallization
Flow stress prediction
Microstructural evolution

Journal

Materials Characterization cover
Materials Characterization
IF:
5.5
Papers:
1.1W
Citations:
3.4W

Organization

C
citic heavy industries co., ltd.
Scholars:
20
Papers: 8
Citations: 0
Z
zhengzhou university of light industry
Scholars:
1.0K
Papers: 307
Citations: 0
H
henan university of science and technology
Scholars:
1.7K
Papers: 545
Citations: 0
L
longmen laboratory
Scholars:
25
Papers: 19
Citations: 0
Cited Papers

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