高速硬车削刀具状态在线监测研究

Research on the condition monitoring of tool

设计了一种利用光纤F-P声发射传感器监测加工刀具状态的系统,采用BP基神经网络建立刀具磨损情况监控和预测模型,为刀具管理提供依据,提高高速硬切削加工效率。实验证明,该系统对刀具的实时监测效果较好。

A system is designed in this paper,which monitors the state of cutting tools with the optical fiber F-P acoustic emission sensor.The model of monitoring wear situation and prediction of the tools is established with the BPNN.It provides the basis for tool management and improves the efficiency of hard machining.Experiments show that the real-time monitoring effect on tools of the system is good.