Taguchi statistical optimization of operational parameters of turning operations for AISI 1045 steel

Abstract

This research entails the analysis of Taguchi optimization for AISI 1045 steel considering tool life and surface roughness as the noise factors. The research investigation has been used to optimize the cutting parameters such as depth of cut, cutting speed and feed rate affecting the performance characteristics of the cutting tool used for turning operation. The L₉ orthogonal array, Signal to Noise (S/N) ratio and analysis of variance (ANOVA) were used during the optimization process of the turning operation using a tungsten-carbide cutting tool. Furthermore, a confirmation test has also been performed to estimate the improvement of the noise factors such as tool life had an increase by 190% and decrease of surface roughness by 40%.