Empirical modeling of cutting speed during WEDM of nimonic 263

Abstract

Cutting speed (CS) is a main process performance measure parameter of WEDM process. CS is mainly affected by input process parameters of WEDM and hence production and machining efficacy. Therefore, it is essential to pick the optimal combination of input parameters to get better CS. In this study, four parameters; Spark on (Son), Spark off (Soff), servo voltage (Sv), and peak-current (Ip) were selected for developing an empirical model of CS during WEDM of nimonic 263. Total 81 samples were machined on different WEDM parametric conditions based on three level full-factorial design of experiment with one replication of each run. This paper describes user-defined RSM based mathematical modeling for predicting optimal parametric setting for cutting speed. Furthermore, analysis of variance (ANOVA) was applied to find significant parameters and it was depicted that Son and Ip were the key parameters affecting average CS.