Machine learning and SHAP for predicting impact strength of FDM-printed short carbon fiber-reinforced nylon
Journal of Reinforced Plastics and Composites
Published online on February 13, 2026
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 ...
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 ...