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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Bibliographic Details
Main Authors: Peiheng Ding, Changqing Shu, Shasha Zhang, Zhaokuan Zhang, Xingshuai Liu, Jicong Zhang, Qian Chen, Shuaipeng Yu, Xiaolin Zhu, Zhengjun Yao
Format: Article
Language:English
Published: Wiley-VCH 2024-12-01
Series:Materials Genome Engineering Advances
Subjects:
dynamic recrystallization
large section bearing steel
machine learning
recrystallization kinetics
Online Access:https://doi.org/10.1002/mgea.75

Internet

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

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