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A data model-driven prediction and compensation strategy for load disturbances in CNC machine tool feeding systems via digital twin technology

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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.
To address the problem of dynamic performance fluctuations in the feed system of CNC machine tools due to load perturbation, which in turn affects machining accuracy, this paper proposes a load prediction and compensation strategy that combines digital ...