Artificial Neural Network Method in Forecasting Surface Roughness of Grinding

摘要

Grinding with CBN wheels is a new advanced manufacturing technology. In this paper, a model of artificial neural networks for predicting the grinding surface roughness with CBN Wheels is established. This model can accurately describe the rule in which wheel velocity, work piece velocity and excising rate affect surface roughness. The method is found to be satisfactory in agreement with the experiment date and theory analysis. Using this model, all values of surface roughness in working scope can be obtained by limit test data.