Multi Objective Optimization in CNC End Milling of Inconel 718 Super Alloy by Taguchi-Grey-Fuzzy Method

Abstract

Inconel 718 has vast range of aeronautical applications. The CNC end milling is the machining processes used for the production of high precision components of aircraft. The machining inconel 718 for high precision always leads to high power consumption and low productivity. This work deals with maximization of productivity and minimization of roughness simultaneously by Taguchi-Grey-Fuzzy logic in cutting of Incone1718 by end milling operation. The control factors considered are depth of cut, feed, speed and type of insert material with roughness and productivity (material removal rate) as responses. Here L18 orthogonal array is utilized as design of experiment with 3 levels of depth of cut, speed, feed and two levels of type of insert material. After the experimentation the optimum levels were obtained by the application of taguchi-grey-fuzzy method. Based on confirmation test, this technique gave 38% increment in multi response performance index (MRPI) which is the combined effect of all the three responses. Also, productivity and roughness increased by 37% and 61 %.