JME_V1_N3_RP7 B. Satyanarayana G. Ranga Janardhana D. Hanumantha Rao Journal on Mechanical Engineering 2249 - 0744 1 3 49 60 Inconel 718, Multi-Response Optimization, Grey Relational Analysis, Taguchi method, ANOVA Nickel-based superalloy, Inconel 718 is widely used in aircraft industry due to its exceptional thermal resistant retaining mechanical properties up to 700°C. On the other hand, it is very difficult to machine, due to their high shear strength, work hardening tendency, highly abrasive carbide particles, tendency to weld and form build-up edge and low thermal conductivity. This paper presents a hybrid optimization approach for determination of the optimum turning process parameters which minimize the Surface Roughness and Tool flank wear together in CNC High Speed turning of Inconel 718 nickel based super alloy using Sandvik make uncoated tungsten carbide cutting tool SNMG 120408 H13A. An exhaustive experimental study has been conducted with various process parameters like speed, feed and depth of cut with three levels each. Thus, an orthogonal array L has been adopted to accommodate the factors at their respective 9 levels. The surface roughness and tool flank wear are considered as process performances. A multi-response optimization has been carried out by using Taguchi method based Grey Relational Analysis (GRA). Also the significant process parameters have been found out for the above process optimization by performing an ANOVA. Confirmation tests with the optimal levels of cutting parameters are carried out in order to illustrate the effectiveness of the method. Validations of the modeled equations are proved to be well within the agreement with the experimental data. May - July 2011 Copyright © 2011 i-manager publications. All rights reserved. i-manager Publications http://www.imanagerpublications.com/Article.aspx?ArticleId=1492