Prediction of tensile properties in fiber-reinforced composites by machine learning models
The consistent design of fiber-reinforced composites (FRCs) remains challenging due to their heterogeneous structures and the complex relationships among processing parameters and material properties. Conventional tensile characterization is costly and destructive, while existing predictive models are often limited to...