Maximizing structure performances of a sandwich panel with hybrid composite skins using particle swarm optimization algorithm

Abstract

A sandwich panel, composed of hybrid laminate skins of AL (aluminum)-CFRP-GFRP and aluminum honeycomb core, was optimized for maximizing the structural performance. Stacking sequence of the three different materials comprising the hybrid laminate skins and individual ply angles are taken as design variables in the present optimization problem. Synergizing a particle swarm optimization (PSO) algorithm method with a specially developed FEM program enables one to optimally decide the design variables and thereby significantly improve the sandwich performance. The present technique applying PSO to a hybrid sandwich in conjunction with FEA has extended the application area of optimization with a complex honeycomb sandwich that is not possible by the conventional method.