Genetic algorithm approach for optimizing surface roughness of Near dry EDM

Abstract

In this paper, genetic algorithm (GA) approach is used in order to optimize the surface roughness (Ra) of near dry EDM (ND-EDM) surfaces. Taguchi orthogonal array of L27 is used as design of experiment for the five process parameters viz. pulse on time, duty factor, discharge current, gap voltage and tool rotating speed. ANOVA test was conducted and found that pulse on time was the most significant process parameters with 53.38% of contribution followed by duty factor and discharge current with 20.68% and 20.87% of contribution respectively. A regression mathematical model was developed and determined the relationship between the process parameters and surface roughness. GA approach was employed to optimize the process parameter. Then, a validation test was performed and confirmed the optimal process parameters values.