Prediction of dynamic recrystallization behavior of SAE52100 large section bearing steel based on machine learning

Prediction of dynamic recrystallization behavior of SAE52100 large section bearing steel based on machine learning

Abstract This paper investigates the dynamic recrystallization characteristics of SAE52100 large section bearing steel under hot compression, focusing on both the center and surface. Using data from thermal simulation experiments the physical models were developed. Four machine learning algorithms i...

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Main Authors: Peiheng Ding, Changqing Shu, Shasha Zhang, Zhaokuan Zhang, Xingshuai Liu, Jicong Zhang, Qian Chen, Shuaipeng Yu, Xiaolin Zhu, Zhengjun Yao
格式: 文件
语言:English
出版: Wiley-VCH 2024-12-01
丛编:Materials Genome Engineering Advances
主题:
dynamic recrystallization
large section bearing steel
machine learning
recrystallization kinetics
在线阅读:https://doi.org/10.1002/mgea.75

因特网

https://doi.org/10.1002/mgea.75

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