Multi-response optimization on vibration and surface roughness of the process parameter surface grinding of OCR12VM using Taguchi-grey method

Abstract

Grinding is a machining process that utilizes abrasive powder in the form of a wheel at high-speed rotation to cut the workpiece surface, so that it requires the right combination of process parameters to get a low vibration value and the appropriate level of surface roughness. The purpose of this study is to analyze the effect of Wheel speed 1500, 2000, 2500, 3000 (rpm), Tangential speed 11, 92, 173, and 256 (mm/s), and Cross feed 5, and 15 (mm/stroke) on vibration and surface roughness. This study used Taguchi method L32 (21 × 42) for experimental design with variations in 4 level of wheel speed, 4 levels of tangential speed, and 2 levels of cross feed. Furthermore, the grey relational analysis method (GRA) combined with Taguchi was used to optimize the multi-response characteristics of the experimental results. The specimen material used is OCR12VM hardened tool steel of 58 HRC with dimensions of L 300 mm × W 60 mm × H 30 mm. The machine tools of KRISBOW KGS818AHD is used to grind the workpiece surface by using Aluminum oxide grinding wheel. The results shows the contribution of factors in reducing the variation of the responses observed simultaneously, respectively, cross feed 37,17 %, tangential speed 29,94 % and wheel speed 20,90 %. The optimization results have been validated in the confirmation experiment. The optimum response process parameters, are the cross feed of 5 mm/stroke, tangential speed of 11 mm/s and wheel speed of 3000 (rpm).