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Experimental Research on Signal Monitoring of Wheel Grinding Process

Ye Xiaodong;School of Mechanical Engineering, University of Shanghai for Science and Technology;  
In order to judge the wear condition of the grinding wheel, the dressing of the grinding wheel needs to be monitored. Therefore,the relationship between the grinding process and the acoustic emission and grinding force is analyzed. The process of grinding workpiece with the grinding wheel by acoustic emission and grinding force signal is studied. Discrete wavelet packet decomposition of acoustic emission signal is used to obtain the characteristic value of acoustic emission signal which characterizes the wear of grinding wheel.The variation course of normal force and tangential force in the grinding process of grinding wheel is studied. The grinding force signal characteristic value of grinding wheel is extracted. The results show that the ratio of grinding force, normal force and tangential force can be used as the eigenvalue to judge the severity of grinding wheel wear.
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