Optimization of Surface Grinding Process Parameters of BÖHLER K340 ISODUR

This paper presents a study of surface roughness (Ra) and material removal rate (MMR) obtained in surface grinding of hardened (58-62) BÖHLER K340 ISIODUR die steel under flood cooling In this work, empirical models are developed for surface roughness and material removal rate by considering Depth of Cut, feed and table feed as control factors using full factorial design and Response Surface Methodology for design of experiment. In response surface methodology and full factorial design 13, 27 experiments were conducted in the surface grinding machine. The surface roughness values were entered in the Minitab19 software and the optimal solution was obtained. The optimum parameter was attained at the maximum overall desirability. An analysis of variance (ANOVA) was conducted to confirm the model adequacy. From the results of the study, for equal weights of responses, the corresponding optimal values of the input parameters depth of cut, cross-feed and table speed were found to be 7μm, 150 m/min, 18 m/min respectively.