Empirical Modeling and Multi-objective Optimization of 7075 Metal Matrix Composites on Machining of Computerized Numerical Control Wire Electrical Discharge Machining Process

Abstract

In today’s scenario, market is customer focused, and their needs are continuously increasing in the factories to make highly utilized products at low cost. So our research target is to search for superior characteristics while performing WEDM machining for Al7075 matrix composites with reinforced SiCp (Al7075/SiCp). While conducting the experiments for machining, the surface roughness and cutting speed plays a vital role, and in our research work, responses are taken to estimate the WEDM performance. For the same, we performed mathematical modeling and analysis of model on behalf of experimental results and development of Mathematical models for selected responses for selected by using regression technique. In this, four intake conditions are co-related with each other to get process output and studied for WEDM performance. When influencing this process variable for both response functions simultaneously, it results in the formation of the multi-objective optimization problem. In this problem, it can be seen that nothing is better than other simultaneously. So the use of NSGA-II provides a solution to get forming an optimal Pareto set of solutions. While taking confirmation of the predicted model, confirmatory experiments have done to show the model is significant with the expected response of the process. Production engineers can use these Pareto-optimal solutions of intakes as a reference to the set of optimal correlation of parameters according to product requirements.