人工神经网络技术在CBN砂轮磨削表面粗糙度研究中的应用

The application of artificial neural networks in the surface roughness research by CBN wheels

针对CBN砂轮磨削 ,采用人工神经网络方法建立由磨削用量确定表面粗糙度的预测模型。计算结果证明 ,所建立的人工神经网络模型可很好地描述砂轮速度、砂轮进给速度、工件转速对磨削表面粗糙度的影响。预测结果具有良好的精度并得到了验证试验的检验。通过本模型 ,利用有限的试验数据可得出整个工作范围内表面粗糙度的预测值 。

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