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Adaptive AI-based prediction and optimization of milling parameters using ANFIS, ANN, and PSO for 316L stainless steel

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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, Volume 240, Issue 9, Page 3082-3099, May 2026.
This study presents the development of an adaptive, artificial intelligence-assisted module designed to enhance productivity and improve cutting conditions in milling operations. The proposed system integrates Artificial Neural Networks (ANN), an Adaptive ...