391-397This paper demonstrates the effectiveness of
optimizing multiple characteristics of electrical discharge machining (EDM) of
Inconel 718 using copper electrodes having different shapes via Taguchi
method-based Grey analysis. The modified algorithm adopted here is used
successfully for both detraining the optimum settings of machining parameters
and for combining multiple quality characteristic into one numerical value
called Grey relational grade or rank. The essential parameters like peak
current, pulse on time and pulse off time are chosen to conduct the experiments
on multiple characteristics namely material removal rate (MRR), electrode wear
rate (EWR), form tolerance namely straightness and orientation tolerance like
perpendicularity and angularity. Then, ANOVA is used to find out the parameter
which significantly affects the other parameters. The experimental results have
shown that the machining performance on multiple characteristics in the EDM
process is improved effectively through this approach