Physical metallurgy guided deep learning for yield strength of hot-rolled steel based on the small labeled dataset

Physical metallurgy guided deep learning for yield strength of hot-rolled steel based on the small labeled dataset

The determination of the relationships between rolling parameters and mechanical properties by high-precision deep learning is important for predicting and controlling the yield strength (YS) of hot rolled steels, however, for most steels, their YS-labeled samples are insufficient for the modeling....

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Bibliographic Details
Main Authors: Chunyuan Cui, Guangming Cao, Yang Cao, Jianjun Liu, Zishuo Dong, Siwei Wu, Zhenyu Liu
Format: Article
Language:English
Published: Elsevier 2022-11-01
Series:Materials & Design
Subjects:
Hot-rolled Ti micro-alloyed steel
Physical metallurgical principles
Yield strength
Deep learning
Online Access:http://www.sciencedirect.com/science/article/pii/S0264127522008917

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http://www.sciencedirect.com/science/article/pii/S0264127522008917

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