Statistical and Machine Learning Classification Approaches to Predicting and Controlling Peak Temperatures During Friction Stir Welding (FSW) of Al-6061-T6 Alloys

Statistical and Machine Learning Classification Approaches to Predicting and Controlling Peak Temperatures During Friction Stir Welding (FSW) of Al-6061-T6 Alloys

This paper presents optimization of peak temperatures achieved during friction stir welding (FSW) of Al-6061-T6 alloys. This research work employed a novel approach by investigating the effect of FSW welding process parameters on peak temperatures through the implementation of finite element analysi...

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Bibliographic Details
Main Authors: Assad Anis, Muhammad Shakaib, Muhammad Sohail Hanif
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Journal of Manufacturing and Materials Processing
Subjects:
friction stir welding (FSW)
finite element analysis (FEA)
Al-6061-T6 alloys
transient temperature
welding parameters
Taguchi method
Online Access:https://www.mdpi.com/2504-4494/9/7/246
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