基于人工神经网络的高速加工表面粗糙度预测模型

Artificial-neural-network-based Prediction Model for Surface Roughness in High Speed Machining

应用人工神经网络方法建立了高速铣削淬硬模具钢的表面粗糙度预测模型。该模型的预测结果与实测数据吻合良好,可为高速加工切削参数的选择和表面质量控制提供依据。

The prediction model of surface roughness in high speed milling of hardened steel was developed based on the artificial neural network method. The predicted results by using this model agree very well with those obtained from experiments, and the prediction model can provide a foundation to optimize cutting parameters and control surface quality.