Surface Roughness Optimization for Grinding Parameters of SKS3 Steel on Cylindrical Grinding Machine

Abstract

Grinding is a machining method that could help to attain high precision grade and finest roughness grade. Due to such characteristics, grinding is often chosen as the final finishing method. The surface quality of a product depends on many factors including cutting depth, feed rate and rotation speed of the part. This paper will study the effect of these three machining parameters on the surface quality of SKS3 parts while machining on cylindrical grinding machines. Design of experiment using surface response model (RSM) will be applied to find the optimal machining parameters. Experimental design method Box-Behnken will be used to set up experimental runs. The input and output test data are processed by Minitab software to find the model of the regression equation before solving the optimization problem. The results of this study not only help to find the optimal grinding mode for SKS3 steel material, but it can also be extended to steels with similar properties and hardness.