Experimental Study on the Wear State of NC Tool Based on Multi Sensor

Abstract

Based on the introduction of the principle of wavelet packet analysis, the acoustic emission sensor and vibration sensor are used to collect the tool wear signal. Then the characteristics of tool wear can be obtained by Orthogonal Experiment. The method of determination about tool wear state can be implemented. Orthogonal Experiment can be used to firstly select the signal feature through this method. Thus, it can obtain the abrasion’s influence on signal and analyze other factors’ influence on signal. Finally, we can find the feature that properly reflects tool wear degree which is not easy to be influenced by the other factors to improve the discrimination degree of tool wear degree.