Surface Roughness Model When Grinding 1066 Steel

A steel cylindrical grinding process has been carried out in this study, in which 1066 steel was employed as the experimental material and an aluminum oxide grinding wheel was utilized. The experimental matrix has been designed in the form of Central Composite Designs (CCD) with four input parameters, including cutting velocity, workpiece velocity, feed rate, and cutting depth. The surface roughness has been selected as the output parameter of the grinding process. The analysis of the experimental results using Pareto chart has determined the effect of the input parameters on the surface roughness. A regression model showing the relationship between the surface roughness and input parameters has been set up. In order to improve the accuracy of the surface roughness model, two data transformations of Box-Cox and Johnson have been applied to build two more surface roughness models. These three roughness models have been used to predict the surface roughness and those predictions have been compared with experimental surface roughness. Through the comparison criteria including coefficient of determination R², adjusted coefficient of determination R²(adj), and absolute percentage error (PAE), the roughness model with the highest accuracy has been determined. Finally, the direction for further studies has also been mentioned in this article.