An ML-Based Approach for HCF Life Prediction of Additively Manufactured AlSi10Mg Considering the Effects of Powder Size and Fatigue Damage

An ML-Based Approach for HCF Life Prediction of Additively Manufactured AlSi10Mg Considering the Effects of Powder Size and Fatigue Damage

As a popular technique, additive manufacturing (AM) has garnered extensive utilization in various engineering domains. Given that numerous AM metal components are exposed to fatigue loads, it is of significant importance to investigate the life prediction methodology. This study aims to investigate...

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Bibliographic Details
Main Authors: Zhi Bian, Xiaojia Wang, Zhe Zhang, Chao Song, Tongzhou Gao, Weiping Hu, Linlin Sun, Xiao Chen
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Aerospace
Subjects:
machine learning
high-cycle fatigue
additive manufacturing
fatigue life
damage model
Online Access:https://www.mdpi.com/2226-4310/10/7/586

Internet

https://www.mdpi.com/2226-4310/10/7/586

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