Influence of cutting parameters on surface roughness in grinding of 65g steel

Abstract

This article presents an experimental research in the grinding the 65G steel. The workpiece velocity, feed rate, and cutting depth are selected as the input parameters for each experiment. The experiments were performed according to a Box-Behnken matrix consisting of 15 experiments. ANOVA analysis results have determined the influence of the input parameters and the interaction between them on the surface roughness. A surface roughness model in the form of quadratic polynomial was constructed. Two data transformations including Box-Cox and Johnson were applied to construct two new surface roughness models. The comparison of three surface roughness models was conducted. The comparison results show that the model using the Johnson transformation has the highest accuracy, the model using the Box-Cox transformation has the accuracy ranked the second position and the model without data transformation had the lowest accuracy.