Multi-response Optimization of Process Parameters in Turn-Milling Processes—An Experimental Approach

Abstract

The present study focuses on multi-response optimality of machining parameter using grey relational analysis combined with principal component analysis coupled with Taguchi SN ratios. The responses like roughness and hardness of the machined surface are considered for study while machining in tangential and orthogonal turn-milling processes. Subsequently, study of individual optimality and empirical regression modelling of machining parameters like end mill cutter (tool) speed, rate of feed and depth of cut on responses are also carried on. A-axis CNC Vertical Milling centre is considered for the process of single cut plain turning operations using high-speed steel end mill cutters. Brass rods material is taken as work material under dry condition. Experimentation results show that tangential turn-milling is more efficient than orthogonal turn-milling in generating the responses for same machining parameter combinations.