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Prediction of bidirectional milling forces based on spindle current signals by using deep learning algorithms

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Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering

Published online on

Abstract

Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering, Ahead of Print.
Milling force, which can determine factors such as tool wear and chatter, is the most crucial and accurate variable for monitoring the milling process. However, its application remains limited due to the utilization of expensive and invasive measurement ...