Multi-objective Optimization of Electrical Discharge Machining Process of Brass 35 Zn by Response Surface Methodology

In this paper, the impact on material removal rate (MRR), surface roughness (R a ), machining time, and tool wear rate (TWR) with various input variables which are peak current (I P ), pulse on time (T on ), pulse off time (T off ), gap voltage (V g ), and depth of cut during Electrical discharge machining (EDM) of brass 35 Zn was investigated. The optimization values have been obtained for (R a ), (MRR), (TWR),and machining time by utilizing the response surface methodology. Additionally, the materials parameters reactions were investigated and the level of significance of input parameters on the measured values was resolved utilizing the analysis of variance (ANOVA) technique. The deliberate reactions were in a decent concurrence with anticipated outcomes by utilizing the RSM method. High-regression coefficients between the factors and responses (MRR), (R a ), (TWR) and machining time R 2 =99%, 91.7%, 96.7% and 94.3% separately show a magnificent assessment of empiricist data by the second-order polynomial abatement model.