Multi-Objective Optimization of Machining Parameters on Aluminium Alloy Metal Matrix Composites using Response Surface Methodology

Due to their lightweight, new classes of materials including aluminium-based Metal Matrix Composites (MMCs) have been popular in recent years various industries aircraft and automobiles. Because its low cost ease availability, aluminium alloy (LM13) MMCs were developed using Rice husk ash (RHA) as reinforcement this study rather than traditional composites prepared the stir casting technique. LM13-15wt.%RHA composite was chosen for present machining study. The central design (CCD) with three input parameters at levels based on best outcomes adopted experimental A mathematical model predict responses Material Removal Rate (MRR) surface roughness. most significant variables evaluated ANOVA. main interactive effects predicted are determined. values nearly identical, indicating that models can accurately responses. optimal value turning obtained from desirability analysis. is 0.863, output response, roughness 0.71663 MRR 0.747491, combined 0.731898