Optimization of the Machining Parameters in Wire Electrical Discharge Machining Process Using Genetic Algorithm

This paper illustrates the role of Binary Coded Genetic Algorithm to optimize the machining parameters viz:Duty Factor, Peak Current and Wire Speed in Wire-Cut Electrical Discharge Machining Process to maximize the Cutting Speed. In present work, Single Pass Cutting of High Chromium High Carbon Die Steel material has been considered for the response parameters Cutting Speed and Surface Roughness. Determination of the generalized relationship of Cutting Speed and Surface Roughness dependant on the variable machining parameters of WEDM using adequate mathematical model based on Factorial Regression and ANOVA is done. Regression coefficient while formulating the relationship for Surface Roughness R_a and Cutting Speed CS are determined for three cases (blocks) taking Stratified Random Sampling. Parameters have also been analyzed for Sensitivity.