MULTIOBJECTIVE OPTIMIZATION FOR UNIDIRECTIONAL GLASS AND CARBON FIBER-REINFORCED HYBRID EPOXY COMPOSITES UNDER FLEXURAL LOADING

Abstract

A multiobjective optimization study for unidirectional carbon fiber- and glass fiber-reinforced epoxy hybrid composites under flexural loading is presented in this paper. The flexural strength of the hybrid composite was conveniently expressed by regression formulas. Two optimization methods—WSM and NSGA-II—were employed for multiobjective optimization with the cost and weight being the objective functions. When WSM was used, two algorithms, viz., interior point algorithm (IPA) and genetic algorithm (GA), were used. The results suggest that positive hybrid effects can be utilized to improve the flexural strength.