Multi Objective Optimization of Process Parameters on MRR and TWR in EDM for EN 353 Material using Grey-Taguchi Method

Abhishek, Niranjan Sorout, Rattan Institute of Technology and Management
2020 International Journal of Engineering Research and  
The use of the Taguchi method with grey relational analysis to establish the process parameters in electro-discharge machining of EN 353 alloy steel with selected tool electrode material . Throughout the study, multiple quality characteristics like tool wear rate (TWR) & metal removal rate (MRR) are focused. The effort has been made to minimize tool wear rate and maximize metal removal rate to produce high-quality finishing of the die. The process parameters, namely Peak Current, Pulse on time,
more » ... ent, Pulse on time, Different tool materials are optimized with respect to tool wear rate and metal removal rate, using the Taguchi quality design concept, an L9 Orthogonal Array table is chosen for the experiments. From the grey analysis, a grey relational grade is obtained and based on this value. An optimum level of process parameters has been identified. Furthermore, using analysis of variance method, significant contributions of process parameters have been determined. The results of the confirmation experiment show that the optimal process parameters may be determined successfully so as to perk up numerous quality characteristics (TWR & MRR) through this approach.
doi:10.17577/ijertv9is040213 fatcat:jpjhchb7qjh5zkfozphtn7pngu