Enhanced prediction of anisotropic deformation behavior using machine learning with data augmentation
Mg alloys possess an inherent plastic anisotropy owing to the selective activation of deformation mechanisms depending on the loading condition. This characteristic results in a diverse range of flow curves that vary with a deformation condition. This study proposes a novel approach for accurately p...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
KeAi Communications Co., Ltd.
2024-01-01
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Series: | Journal of Magnesium and Alloys |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2213956724000136 |