NSGA-II Approach for Multi- Objective Optimization of Wire Electrical Discharge Machining Process Parameter on Inconel 718

Abstract

The present paper envisagesthe effect and optimization of machining parameters on the material removal rate (MRR) and surface roughness (Ra). Application of NSGA-II used for the selection of optimal process parameters during machining of Inconel 718. The machining parameters considered in the study are wire tension, wire speed, discharge current and Pulse on time. The experimental design using 27 orthogonal array are conducted viaTaguchi design of experiment to predict the MRR and Ra properties using Inconel 718 super alloy as a workpiece and brass wire as tool. The level of importance of the machining parameters on the cutting Ra and MRR is determined by applying ANOVA. Using the signal-to-noise (S/N) ratio optimum machining parameters combination has been obtained. To validate a mathematical model between control factors and responses like MRR and Raare established by means of nonlinear regression analysis. To achieve multi-response optimization, NSGA-II has been adopted. Optimal machining parameters were obtained from the Pareto front graph.