Multi Objective Optimization in Turning of EN25 Steel Using Taguchi Based Utility Concept Coupled With Principal Component Analysis

In multi objective optimization, weight criteria of each objective is important for producing better and accurate solutions. In this experimental analysis the optimum machining parameters are estimated using Taguchi based utility concept coupled with Principal Component Analysis (PCA) on turning of EN25 steel with CVD and PVD coated carbide tools. This method has been employed for simultaneous minimization of surface roughness, cutting force and maximization of material removal rate. The multi SN ratio is achieved by the product of weight factor and SN ratio to the performance characteristics in the utility concept. Principal component analysis is adopted to find the weight factors involved for all objectives. Finally ANOVA concept is employed on multi SN ratio to find out the relative significance of machining parameter in terms of their percentage contribution.