Integrated Multi Objective Optimization Approach for Hard Turning of EN-31 Steel

Abstract

An effort is made to explore the effect of cutting parameters (cutting speed, feed rate, depth of cut and nose radius) on multiple surface roughness characteristics in finish hard turning of EN -31 steel (a material that is extensively used in automotive industry) using HSS tool. Hard turning is considered as a special machining process for turning hardened steels with high surface qualities. A multi objective optimization problem is highlighted by applying Weighted Principal Component Analysis combine with Taguchi method. The purpose of this study is to select optimum process parameters, which could satisfy the various requirements of surface quality. The traditional concept of Taguchi method alone can't help to eliminate multi objective optimization problem, so to overcome this limitation, the WPCA has been combined with the Taguchi method. Apart from this, a combine quality loss is also calculated and optimized at last. Resultsare presented in the form of graphs and tables.