Machine Learning for Parametrical Analysis of Friction Stir Welded Aluminum Metal Matrix Composites

Machine Learning for Parametrical Analysis of Friction Stir Welded Aluminum Metal Matrix Composites

The research focuses on the behaviour and process parametric influence on friction stir welded Al metal matrix composites reinforced with varied percentages of SiC, B4C, and Mg. The experimentation involves fabrication of Al metal matrix composites followed by friction stir welding and, subsequently...

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Detaylı Bibliyografya
Asıl Yazarlar: K. Saravanan, A. Giridharan
Materyal Türü: Makale
Dil:English
Baskı/Yayın Bilgisi: Galati University Press 2022-12-01
Seri Bilgileri:Annals of "Dunarea de Jos" University of Galati, Fascicle XII, Welding Equipment and Technology
Konular:
metal matrix composites
linear regression
machine learning
tensile test
random forest algorithm
optimization
microscopy
Online Erişim:https://www.gup.ugal.ro/ugaljournals/index.php/awet/article/view/5522

Internet

https://www.gup.ugal.ro/ugaljournals/index.php/awet/article/view/5522

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