Abstract

Sanjay Kashyap, Deepak Mishra, Sumit Pamnani, Amit Vishwakarma

ABSTRACT

This work demonstrates the optimizing process of multiple Responses for Electrical Discharge Machining (EDM) of AISI P20 tool steel parts via the Taguchi method-based Grey analysis. Optimization is one of the practices used in manufacturing sectors to attain for the best manufacturing situations, which is an essential need for industries towards manufacturing of quality products at lower cost. This methodology uses three different tool materials such as Copper, Brass and Graphite and finding the optimum settings of machine parameters and for combining multiple quality characteristics into one integrated numerical value called Grey relational grade. Six machining parameter are design by Taguchi method using L27 orthogonal array based on Taguchi design and observed that which factor is most affected by the Responses of Material Removal Rate (MRR), and Tool Wear Rate (TWR).