Optimization of Electric Discharge Machining Process Parameters Using Genetic Algorithm

Abstract:Proper selection of manufacturing conditions is one of the most important aspects in the Electrical Discharge Machining process, as these conditions determine important characteristics such as Material Removal Rate and Tool Wear Rate. In this work, mathematical models have been developed for relating the Material Removal Rate and Tool Wear Rate to machining parameters like discharge current, pulse-on time and pulse-off time. The developed models predict the machining conditions from rough machining region to finish conditions within the experimental domain. Response Surface Methodology has been applied for developing the models using the techniques of Design of Experiments and Central composite rotatable design was used to plan the experiments. Response surface Quadratic models were found to be the most suitable in the present work. A Quadratic equation is found from the Design Experiment.This equation is used in a GA Tool as a fitness function and optimizes the process parameter of EDM