Process parameter optimization based on principal components analysis during machining of hardened steel

Abstract

The optimum selection of process parameters has played an important role for improving the surface finish, minimizing tool wear, increasing material removal rate and reducing machining time of any machining process. In this paper, optimum parameters while machining AISI D2 hardened steel using solid carbide TiAlN coated end mill has been investigated. For optimization of process parameters along with multiple quality characteristics, principal components analysis method has been adopted in this work. The confirmation experiments have revealed that to improve performance of cutting; principal components analysis method would be a useful tool.

Multi responses optimization of wire EDM process parameters using Taguchi approach coupled with principal component analysis methodology

“…In this paper they show the importance of WEDM while using taper angle. Chandgude et al (2015) investigated the optimal processing parameter of end milling machine while machining on AISI D2 hardened steel using principal component analysis on Taguchi orthogonal array. Gupta et al (2015) hybrid approach of Taguchi and principal component analysis was applied while welding two dissimilar material AA5083-O and AA6063-T6 aluminium alloys.…”