Image regression analysis for linking the microstructure and property of steel

Image regression analysis for linking the microstructure and property of steel

An image regression analysis using a convolutional neural network (CNN) was conducted to correlate microstructural images with the mechanical properties of tempered martensitic steel. The proposed model could link the microstructure with a property without any manual feature extraction. To demonstra...

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Bibliographic Details
Main Authors: Kengo Sawai, Ta-Te Chen, Fei Sun, Toshio Ogawa, Yoshitaka Adachi
Format: Article
Language:English
Published: Elsevier 2024-03-01
Series:Results in Materials
Subjects:
Image regression
Convolutional neural network
UMAP
Microstructure–property relationship
Explainable AI
Steel
Online Access:http://www.sciencedirect.com/science/article/pii/S2590048X23001644

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http://www.sciencedirect.com/science/article/pii/S2590048X23001644

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