Prediction of surface roughness of difficult-to-cut material by HSM based on RBF neural network

Prediction of surface roughness has become an important trend of quality analysis. In this paper, RBF neural network is used to predict surface roughness. Compared with measured value and the result from regression analysis, the result of prediction using RBFneural network indicates its feasibility, which provides references for optimization of cutting parameters and development of cutting database.