A Study on Modeling and Multi Response Optimization of AISI 02 Tool Steel on CNC Wire EDM Process

This paper describes the development of a mathematical model and multi response optimization for predict and select the best cutting parameters of wire electro discharge machining (WEDM) process. To predict the performance characteristics namely material removal rate and surface roughness mathematical model using non-linear regression models were applied. AISI 02 Tool steel was selected as work material to conduct experiments. Experiments were planned as per Taguchi'sL16 orthogonal array. Each experiment has been performed using different cutting conditions of pulse on time, wire tension, delay time, wire feed speed, and ignition current. The responses were optimized concurrently using multi response signal to noise (MRSN) ratio in addition to Taguchi's traditional parametric design approach. Analysis of variance (ANOVA) was employed to identify the level of importance of the machining parameters on the multiple performance characteristics. Finally experimental confirmations were carried out to identify the effectiveness of this proposed method. A good improvement was obtained.