Machine Learning-Driven Parametric Analysis of Eco-Friendly Ultrasonic Welding for AL6061-CU Alloy Joints
This study outlines the research conducted to examine the mechanical behaviour and microstructural characteristics of Al-Cu dissimilar wires joints welded using ultrasonic joining process that commonly finds application in automotive components, heat exchangers and electrical home and industrial app...
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Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Galati University Press
2024-12-01
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Series: | Annals of "Dunarea de Jos" University of Galati, Fascicle XII, Welding Equipment and Technology |
Subjects: | |
Online Access: | https://www.gup.ugal.ro/ugaljournals/index.php/awet/article/view/7100 |
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