Analysis of Process Parameters in Dry Turning of Medium Carbon Steel En19 by Using Grey Relational Grade and Regression Methods

The present paper is on the analysis of surface roughness characteristics Ra\ud , Rq and Rz during the machining of\ud medium carbon steel EN19. The experiments have been done under dry environment by using a coated carbide\ud tool. For the optimization of process parameters Taguchi based Grey Relational Grade method was used.\ud Taguchi’s standard L9 Orthogonal Array was used for conducting the experiments. From the Grey analysis,\ud optimal parametric combination for multi-responses (Ra\ud , Rq and Rz) was found at cutting speed: 225 mm/min,\ud feed: 0.05 mm/rev and depth of cut: 0.4 mm respectively. Analysis of variance (ANOVA) was used for analyse\ud the influence of process parameters on multi responses. From the analysis it is concluded that, speed has high\ud influence (F= 34.18, P= 0.025<0.05) in getting the optimized values of multi responses and the depth of cut has\ud very low influence (F= 1.34, P=0.427>0.05). Regression models were developed for Ra\ud , Rq and Rz\ud , which are\ud very significant parameters from contact stiffness, fatigue strength and surface wear point of view. The models\ud prepared were highly significant because they have high coefficient of correlation values (R2 =0.992, 0.987 and\ud 0.982 for Ra\ud , Rq and Rz respectively). Hence, the models can be used for accurate prediction of surface\ud roughness characteristics