Multi Objective Optimization in Drilling of Al/SiC Composites using Desirability Functions

Abstract

Elevated specific strength along with very good corrosion resistance, metal matrix composites (MMCs) are materials that are eye-catching for a huge choice of engineering applications. Given the factors of reinforcement type, form, and quantity, it could be varied, in adding up to matrix characteristics, the composites have a huge potential for being tailored for particular applications. This paper presents the detailed experimental investigation on drilling Metal Matrix Composite of Aluminium Silicon Carbide particulate (Al/SiC). Experiments were carried out on Radial Drilling Machine. An experiment method, based on the Taguchi technique, was performed. The aim of this paper is to utilize desirability function analysis (DFA) approach to investigate the effect of drilling process variables such as spindle speed, feed rate, diameter of hole, machining time on metal removal rate, specific energy, surface roughness, volume fraction and flank wear. A composite desirability value is attained for the multi-responses by individual desirability values from the desirability function analysis. With respect to composite desirability value, the optimum levels of parameters have been identified, and important role of parameters is determined by analysis of variance.