JME_V7_N1_RP2 A. Hemantha Kumar G. Subba Rao T. Rajmohan Journal on Mechanical Engineering 2249-0744 7 1 8 15 Turning, Surface Roughness (Ra), Material Removal Rate (MRR), ANOVA, Grey Relational Analysis (GRA) The customers' most specified requirements are surface roughness which is the indicator of surface quality and get the product at minimum cost. In manufactures point of view, maximization of metal removal rate is high priority in order to reduce the manufacturing cost. Hence, it is important to explore the influence of cutting parameters on surface roughness (Ra) and Metal Removal Rate (MRR). In the present paper, AISI 1042 is considered as workpiece material as it has wide applications in manufacturing of Dies, gears, shafts, machine tool parts, etc. Selected tools are PVD (PR1125) and CVD (CR5515), consisting of the coating surfaces of TiA1N and TiCN+Al O +TiN, respectively. The experimentation 2 3 for this work was based on Taguchi's design of experiments (DOE) and orthogonal array. In this work, three cutting parameters, namely, cutting speed, depth of cut, and feed rate were considered as process parameters and responses are Material removal rate and Surface roughness. Experiments were conducted by using Taguchi Design of experiments of L9 orthogonal array for both CVD and PVD tools. The main objective of this paper is to determine the optimum cutting parameters and the tool used in turning AISI 1042 material with multiple output responses using ANOVA and Grey Relational analysis. November 2016 - January 2017 Copyright © 2017 i-manager publications. All rights reserved. i-manager Publications http://www.imanagerpublications.com/Article.aspx?ArticleId=8337