A lexicographic multiobjective genetic algorithm for optimization of mechanical properties of crab carapace impregnated coir–polyester composites

Abstract

This work is aimed at determining the possibility of using crab carapace materials as reinforcing fillers in the coir fiber reinforced polyester composite. The sample preparation was carried out with three levels of fiber length (10, 30, & 50 mm), fiber weight content (10, 25, and 40%), and additive weight content (2, 4, and 6%). The composite sheets were prepared by impregnating crab carapace additive obtained from crab shell with coir fiber reinforced polyester composite using compression molding machine. The tensile, flexural, and impact strength of the composites were determined as per ASTM standards and regression models were developed to predict the mechanical behaviors of the composites using statistical technique. The fabrication parameters considered in this investigation has significantly contributed toward the mechanical properties of the composites. The developed regression models were optimized to obtain the maximum values of mechanical properties using single objective genetic algorithm and multiobjective lexicographic method in this investigation. POLYM. COMPOS., 37:844–853, 2016. © 2014 Society of Plastics Engineers