高速铣削加工中刀具监测系统研究

Study on Tool Monitoring System for High-speed Milling

在铣削加工中,在刀具急剧磨损的初级阶段,表征刀具磨损的信号较弱,而此时工件精度已早有明显变化。小波神经网络虽能有效处理各种频段信号,但对较弱信号还是存在漏检现象。开发针对高速铣削的刀具在线监测系统,通过监测工件表面精度的变化,及时修正小波变换参数,提高了监测微弱信号的能力,有效降低了刀具监测的漏检、误报率。

In milling process, the signal representing tools sharply wearing in primary stage is weak, while the workpiece accu- racy is changed obviously at this time. Although various signals with different frequency can be effectively handled by wavelet neural network, it is possible that the faint signal can not be detected. A tool online monitoring system was developed for high-speed milling. Through monitoring accuracy change of workpiece surface, the parameters of wavelet transform were modified in time. The ability of monitoring faint signal is enhanced. The missing rate and false alarm rate of tool monitoring are effectively decreased.