Machine learning paradigms with multi-strategy data augmentation for predicting anisotropic impact strength of FDM-printed composites

Shengming Huang, Qibin Fang, Jing Yu, Bowen Shi, Yanchuan Liu, College of Mathematics and Computer Science, Shantou University, Department of Mechanical Engineering, Shantou University, Key Laboratory of Intelligent Manufacturing Technology , Shantou University, Ministry of Education, College of Mechanical Engineering and Automation, Liaoning University of Technology, School of Mechanical Engineering, Dalian University of Technology

Journal of Thermoplastic Composite Materials

Published online on June 04, 2026

Abstract

Journal of Thermoplastic Composite Materials, Ahead of Print.
This study addresses two challenges in machine learning prediction of anisotropic impact strength for fused deposition modeling (FDM) printed composites, namely handling categorical variables and overcoming small sample sizes (43 samples per orientation). ...