A review on inverse analysis models in steel material design

A review on inverse analysis models in steel material design

Abstract This paper reviews various inverse analysis models used in steel material design, with a focus on integrating process, microstructure, and properties through advanced machine learning techniques. The study underscores the importance of establishing comprehensive models that effectively link...

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Bibliographic Details
Main Authors: Yoshitaka Adachi, Ta‐Te Chen, Fei Sun, Daichi Maruyama, Kengo Sawai, Yoshihito Fukatsu, Zhi‐Lei Wang
Format: Article
Language:English
Published: Wiley-VCH 2024-12-01
Series:Materials Genome Engineering Advances
Subjects:
GAN
image regression
inverse analysis
multiple‐objective optimization
steel
Online Access:https://doi.org/10.1002/mgea.71
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https://doi.org/10.1002/mgea.71

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