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Machine Learning for 2219-T8 Alloy Welding by chandrarao ch is a document available to read on EtoBox.
What is Machine Learning for 2219-T8 Alloy Welding about?
This study presents a machine learning model utilizing a Kriging-WOA approach to predict and optimize the tensile properties of 2219-T8 aluminum alloy TIG welding joints. The model demonstrates high precision in correlating tensile strength with weld geometry and weak zone properties, achieving a joint strength coefficient of 70% and elongation exceeding 4%. The findings highlight the effectiveness of machine learning in addressing complex relationships in welding processes, providing a valuable tool for op
- Author
- chandrarao ch
- Language
- EN