Study of microEDM parameters of Stainless Steel 316L: Material Removal Rate Optimization using Genetic Algorithm

摘要

Material Removal Rate (MRR) is the most significant factor in the finished product during machining in Micro Electro Discharge Machining (microEDM). In the present research, the investigation of MRR of Stainless Steel 316L which is widely used in the Medical, Marine, Architectural and food processing industries is studied. The current, pulse on time and pulse off time are the input parameters selected for machining using 300?m tungsten electrode to obtain the maximum MRR. By using Response Surface Methodology (RSM) the mathematical model of MRR is obtained by correlating the input parameters. The Genetic Algorithm (GA) is applied to model obtained to arrive the optimal input parameters to achieve the maximum MRR. Experiments are conducted for validating the GA results, which shows that the average percentage of error is 3.65%. Hence, the developed model gives more reliability for the manufacturers to select the optimal input parameters to achieve good quality finished product.