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Machine learning and SHAP for predicting impact strength of FDM-printed short carbon fiber-reinforced nylon

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Journal of Reinforced Plastics and Composites

Published online on

Abstract

Journal of Reinforced Plastics and Composites, Ahead of Print.
The influence of fused deposition modeling (FDM) process parameters on the Charpy impact strength of short carbon fiber-reinforced nylon (PAHT-CF) was investigated using machine learning (ML). A total of 129 specimens were fabricated by varying five key ...