Deep learning assisted prediction of retained austenite in the carburized layer for evaluating the wear resistance of mild steel
The content, distribution and size of retained austenite (RA) affect its mechanical stability in carburized layers. The stability of RA plays a decisive role in cold work hardening and strain-induced martensitic transformation during sliding friction; these changes determine wear resistance. In this...
Main Authors: | Mingming Shen, Zhenlong Zhu, Shaobo Li, Cunhong Yin, Jing Yang, Ansi Zhang |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2022-11-01
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Series: | Journal of Materials Research and Technology |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2238785422014600 |
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