Machine learning techniques in monitoring and controlling friction stir welding process: a critical review

Machine learning techniques in monitoring and controlling friction stir welding process: a critical review

Abstract The friction stir welding (FSW) technique is a solid-state joining method that presents numerous advantages compared to conventional welding techniques, including enhanced mechanical joint efficiency and the ability to join challenging materials such as aluminium and magnesium. FSW is a sop...

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Bibliographic Details
Main Authors: Bhardwaj Kulkarni, Saurabh Tayde, Yashwant Chapke, Swapnil Vyavahare, Avinash Badadhe
Format: Article
Language:English
Published: Springer 2025-05-01
Series:Discover Applied Sciences
Subjects:
Machine learning (ML)
Friction stir welding (FSW)
Process optimization
Defects and corrosion rate
Tool failure
Intelligent manufacturing
Online Access:https://doi.org/10.1007/s42452-025-07133-8
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