磨削砂轮状态在线监测方法研究

Study on on-line Monitoring Method for Grinding Wheel States

提出了用声发射(AE)信号在线监测砂轮状态的方法。利用该方法可以监测工件材料、加工要求和磨削参数经常变化环境下的砂轮钝化程度和破碎情况;并采用神经网络建立了传感器信号与砂轮状态之间的非线性关系。

Returning original processing method of AE signals is pretended to monitoring grinding wheel states under the surroundings of multi-changing grinding conditions in this paper,it can overcome limitation of the method of monitoring AE signals amplitude,that cannot motoring grinding wheel dull under grinding parameter,processing requirements and work-piece material are changing frequently,same time,power sensor is used to monitoring grinding wheel crash.Neural network is used to build the nonlinear relationships between sensors signals and wheel states in this paper,it is very difficult to build mathematical model for complex grinding conditions,and stable neural network model is obtained through sample studying.Testing resolute indicates this system is effect for monitoring grinding wheel states.