Implementation of Jaya algorithm for process parameter optimization during EDM processing of NiTi 60alloy

Abstract

Electrical Discharge Machining (EDM) process is an advanced machining process used in wide range of manufacturing applications especially for hard materials. Functioning and quality of EDMed machined parts/components plays important role when put to the service. For this not only selection of optimum machining process but also selection of effective optimization technique need to be given special attention. With this intention the target of the current research is to survey the different optimization techniques (Response surface, Taguchi, Grey regression analysis, Artificial nueral network etc.), research gap indicates scope for implementation of Jaya algorithm which is a modern optimization technique. With use of Jaya algorithm technique research work was carried out to evaluate white layer thickness (WLT) and micro hardness (MH) as output parameters during EDM machining of NiTi60 alloy. These output parameters were evaluated with variations in input process parameters considering voltage (V), current (C), pulse on (Pon) and pulse off (Poff) time. The experiments were conducted using L9 Taguchi orthogonal array and mathematical predictions models were generated using regression analysis. Jaya algorithms were developed with the intention to minimize the WLT and minimize the MH as the objective functions. It is concluded that Jaya optimization technique can be effectively implemented to optimize the process parameters in EDM process which shows considerable reductions in WLT from 5.914 to 4.947 µm and MH from 208.71 to 200.3 respectively.