Process Parameter Optimization in EDM: A Multi-objective Approach Using Metaheuristic

Abstract

In recent days due to the development of newer types of materials, the non-traditional machining as EDM has gained much popularity due to its efficient output as of machining capability and quality of product. The stated work investigates on optimization of the process along with a parametric study in EDM process efficiency while machining Mild Steel IS1018. For the study, output responses have been chosen as material removal rate and surface roughness and are affected by the input variables, viz. current, pulse ON time and dielectric fluid pressure. The stated two output responses were simultaneously optimized to achieve optimum values by using conventional Taguchi-based grey relational analysis using L18 orthogonal array and a metaheuristics method as multi-objective genetic algorithm. The multi-objective function for this mixed integer optimization problem has been developed using goal attainment method considering maximization and minimization of one and other objective. The empirical results were compared and validated with an experimentation, so to analyse the efficiency of the methods. The efficiency of metaheuristic approach as MOGA is found to be noticeable and can be applied to other engineering problems.