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Predicting polymer milling accuracy via an artificial neural network integrating UTS and tool diameter

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Journal of Reinforced Plastics and Composites

Published online on

Abstract

Journal of Reinforced Plastics and Composites, Ahead of Print.
Achieving high dimensional accuracy in CNC machining of polymers is challenging due to their low stiffness and viscoelasticity. This study introduces an artificial neural network (ANN) framework to predict multi-axial dimensional deviations in the milling ...