基于AE信号的新型砂轮点磨削状态监测方法

提出了一种基于声发射(AE)信号对新型点磨削砂轮磨削状态进行实时监测方法.建立了表面粗糙度与AE信号的对应关系，为监测磨削加工表面粗糙度提供了条件.采用单因素实验研究了各参数对AE信号RMS值的影响规律，结果进一步证明了AE信号与表面粗糙度的对应关系.对比分析了砂轮不同磨损状况下的AE信号，依据此信号可对磨削状态进行实时监测.为了区分声发射源性质的异同，对磨削过程中的AE信号进行了频谱分析，砂轮发生磨损时，AE信号在45~65kHz，80~90kHz，100~110kHz频段的能量升高显著，并且在15kHz附近出现了很高的尖峰，为监测磨削状态提供了一种可行且有效的方法.

Method for Grinding State Monitoring of Novel Point Grinding Wheels Based on AE Signal

A method for grinding state real-time monitoring of a novel point grinding wheel was proposed based on the acoustic emission(AE) signal. The correspondence between surface roughness and the AE signals were established， which provided the condition for monitoring the surface roughness. Single factor experiments were used to obtain the influence of parameters on RMS values of the AE signals. The conclusion further proves the correspondence. Firstly， the AE signals of different wear state of grinding wheel were compared and analyzed. According to this signal， the grinding process could be monitored in real time. Secondly， in order to distinguish the sources of the AE signals， spectrum analysis of the AE signals was carried out. When the grinding wheel worn， the energy of AE signals in 45~65kHz， 80~90kHz and 100~110kHz were significantly increased and there is a high spike at 15kHz. Therefore， the as-proposed method is feasible and effective.