A Predictive Model for Weld Properties in AA-7075-FSW: A Heterogeneous AMIS-Ensemble Machine Learning Approach

A Predictive Model for Weld Properties in AA-7075-FSW: A Heterogeneous AMIS-Ensemble Machine Learning Approach

This study addresses the research gap in materials science by developing an integrated predictive model for Ultimate Tensile Strength (UTS), Maximum Hardness (MH), and Heat Input (HI) in AA-7075 Friction Stir Welding (FSW). The aim is to enhance welding procedures, particularly in high-precision ind...

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Bibliographic Details
Main Authors: Surasak Matitopanum, Peerawat Luesak, Somphop Chiaranai, Rapeepan Pitakaso, Thanatkij Srichok, Worapot Sirirak, Ganokgarn Jirasirilerd
Format: Article
Language:English
Published: Elsevier 2023-09-01
Series:Intelligent Systems with Applications
Subjects:
ultimate tensile Strength (UTS)
maximum hardness (MH)
heat input (HI)
machine learning
friction stir welding (FSW), AMIS, decision fusion strategy
Online Access:http://www.sciencedirect.com/science/article/pii/S2667305323000844

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http://www.sciencedirect.com/science/article/pii/S2667305323000844

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