The Application of Artificial Neural Networks in the Research of Grinding Surface Roughness with CBN Wheels

摘要

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