Machine Learning-Based Prediction of Fatigue Fracture Locations in 7075-T651 Aluminum Alloy Friction Stir Welded Joints

Machine Learning-Based Prediction of Fatigue Fracture Locations in 7075-T651 Aluminum Alloy Friction Stir Welded Joints

Friction stir welding (FSW) is a solid-state joining technique widely used for aluminum alloys in aerospace, automotive, and shipbuilding applications, yet the prediction of fatigue fracture locations within FSW joints remains challenging for structural-life assessment. In this study, we investigate...

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Bibliographic Details
Main Authors: Guangming Mi, Guoqin Sun, Shuai Yang, Xiaodong Liu, Shujun Chen, Wei Kang
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Metals
Subjects:
fatigue fracture
machine learning
friction stir welding
artificial neural network
Online Access:https://www.mdpi.com/2075-4701/15/5/569
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