A high efficiency 3D surface topography model for face milling processes

Predicting the 3D surface topography in milling is the basis of analyzing its surface contact properties. However, most studies have been devoted to improving the accuracy of models and ignoring the efficiency of models, which has resulted in predicting the surface topography of large-size face milling becoming a time-consuming task. In this paper, a high efficiency 3D surface topography prediction model was proposed for face milling processes. The high efficiency of the proposed model was demonstrated by reducing the data volume and optimizing algorithms. First, a traditional 3D surface topography model was developed. Then, a high efficient 3D surface topography model was proposed based on the optimization of the data volume and algorithms. Next, the validity of the proposed model was verified by face milling experiments. Finally, compared with traditional models and other models, the proposed model had the highest computational efficiency. The proposed model provides a method for surface topography analysis of large-size face milling and an insight for optimizing other models.