Development of machine learning regression models for the prediction of tensile strength of friction stir processed AA8090/SiC surface composites
Karthik Adiga,
Mervin A Herbert,
Shrikantha S Rao
et al.
Abstract:Friction Stir Processing is a state-of-the-art technology for microstructure refinement, material property enhancement, and fabrication of surface composites. Machine learning approaches have garnered significantinterest as prospective models for modeling various production systems. The present work aims to develop fourmachine learning models, namely linear regression, support vector regression, artificial neural network andextreme gradient boosting to predict the influence of FSP parameters such as tool rotat… Show more
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