Optimization of Process Parameters of Surface Roughness and Material Removal Rate in Orthogonal Turning of AISI 1045 Carbon Steel Using Taguchi Technique

Abstract

In today’s manufacturing market, quality and productivity play significant role. This study is aimed at evaluating the best process environment which could simultaneously satisfy requirements of both quality and as well as productivity. This study investigates the effects of various parameters such as depth of cut, speed and feed on the material removal rate and surface roughness in a HMT (Hindustan Machine Tools) LB25 Lathe Machine. A plan of experiments based on Taguchi’s technique has been used to acquire the data. An orthogonal array, the signal to noise (S/N) ratio and the analysis of variance (ANOVA) were employed to investigate the cutting characteristics of 1045 carbon steel using tungsten coated carbide cutting tool. The effectiveness of the predicted values with the experimental values in the analysis was carried out by confirmation tests. The analysis of results shows that the combination of process parameters for minimum surface roughness is obtained at 330 rpm spindle speed, 0.2 mm/rev feed and 0.6mm depth of cut for minimum surface roughness. It is observed that feed rate plays an important role in minimizing surface roughness. For maximum material removal rate, the optimum values are spindle speed of 630 rpm, feed rate of 0.4 mm/ rev and depth of cut of 1.0 mm. Finally, the relationship between cutting parameters and responses were developed by using the Minitab 18.1 software and regression equations were developed.

Keywords :Taguchi, ANOVA, Signal to Noise Ratio, Minitab and Surface Roughness.

DOI: 10.7176/IEL/11-1-03

Publication date:May 31^st 2021