Parametric Optimization of Electrochemical Discharge Machining Using Particle Swarm Optimization Algorithm

Abstract

It is very important to select the optimal parametric values for various non-traditional machining processes (NTM) for improving their performance. The performance measures of NTM processes include material removal rate (MRR), radial overcut (ROC), heat affected zone (HAZ), etc. In this chapter, particle swarm optimization has been used to find out the optimal parametric settings for electrochemical discharge machining (ECDM) to improve its performance measure. Both single-objective as well as multi-objective optimization has been performed and the results have been compared with those obtained by other researchers.