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Data-driven prediction of joint strength in friction stir welding: A machine learning and feature sensitivity analysis

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Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science

Published online on

Abstract

Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, Ahead of Print.
Friction stir welding (FSW) is a solid-state joining process characterized by a non-linear and complex relationship between the process parameters and joint strength. In the present work, the prediction of FSW joint strength is done through a ...