A Comparative Evaluation of Process Parameter Optimization of Wire Cut Electric Discharge Machining of Ti-6Al-4V Using WASPAS and Metaheuristic Methods

Abstract

Ti-6Al-4V is a very effective alloy as it is used in various field such as defense and medical. It has very high corrosion resistance and having high weight ratio. It has been a difficult material to be machined using conventional methods of machining, thus nonconventional methods were adopted for effective machining of this material as EDM and WEDM. In this investigation attempt has been made for comparative study of optimum process parameters for wire EDM process to using Multi Criteria Decision Making (MCDM) process called Weighted Aggregated Sum Product Assessment (WASPAS) method and Metaheuristic method as Multi-objective Genetic Algorithm (MOGA) for determination of optimum combination of process parameters for optimum output as maximum MRR and minimum SR. These methods have been effectively compared. The input parameters that have been taken into consideration are peak current, wire speed, pulse on time , pulse off time , wire feed and wire tension. These methods also can be used in other machining process parameter optimization problem in manufacturing as efficient methods.