Department of Mechanical Engineering, Government College of Engineering, Aurangabad, Maharashtra, India
Online published on 21 November, 2017.
This paper outlines an experimental study to optimize cutting parameters during Turning of EN353 case hardened steel under finishing conditions in order to get the minimum surface roughness and maximum material removal rate. L9 orthogonal array based Taguchi optimization technique is used to optimize the effect of various cutting parameter for surface roughness and Material Removal Rate (MRR) of EN 353 work material in turning operation. An orthogonal array, signal to noise (S/N) ratio and analysis of variance (ANOVA) are to be employed to analyze the effects and contributions of depth of cut, feed rate and cutting speed on the response variables. Attempt was further made to simultaneously optimize the machining parameters using Grey relational analysis. The feed rate is the most significant factor for maximize material removal rate and minimize surface roughness. The surface roughness was measured using surface roughness tester (Mitutoyo surftest-SJ210). Material removal rate was calculated using cutting velocity, depth of cut and feed rate.
EN353, CNC Lathe, Surface Roughness, MRR, Taguchi, Design of Experiments, Grey Relational Analysis
