Multi-objective optimization of post-curing process for GNPs reinforced glass fabric/epoxy nanocomposite laminae

Post-curing processes are fundamental manufacturing operations for epoxy matrix composites from which high-quality parts are produced and see service in a great variety of industrial applications. Although many parameters affect these processes, only temperature is considered as affecting factor in most of the relevant studies. In this study, a multi-parameter design of experiments, using Taguchi method, has been conducted in order to investigate the optimum post-curing conditions for graphene nanoplatelets reinforced glass fabric/epoxy nanocomposite laminae. Both post-curing temperature T-pc and time t(pc) were treated as independent variables in a L9 Taguchi orthogonal array addressing three levels each. Ultimate tensile strength and strain at break were examined as pre-selected quality objectives. Through the multiple regression analysis performed, a highly accurate regression model was achieved for both optimization criteria. Finally, a multi-objective optimization genetic algorithm was used for the above models. POLYM. COMPOS., 39:E2483-E2489, 2018. (c) 2018 Society of Plastics Engineers