The Surface Roughness Model When Turning of 1066 Steel by TiC Insert

Abstract

Surface roughness (SR) is a very important parameter to evaluate the quality of a machining process in mechanical production. The construction of the surface roughness model during the machining process will be the basis for predicting the surface roughness for each specific case. The construction of a surface roughness model when turning of 1066 steel was done in this study. An experimental process was performed with a total of fifteen experiments. These fifteen experiments have been designed according to a Box-Behnken matrix. In each experiment, the values of three parameters were changed, including cutting speed (V), feed rate (S), and depth of cut (t). Surface roughness values were also measured at each experiment and then a surface rouhness model was built. This model demonstrates the mathematical relationship between surface roughness and three cutting parameters. A second surface roughness model was also established using the Box-Cox transformation. The accuracy of these two models was compared through three parameters including coefficient R2, R2(pred), and R2(adj). The results show that all three parameters of the second model are better than the first model. In other words, the accuracy of the surface roughness model has been improved through the use of Box-Cox transformation to convert the data.