Experimental Study on Intelligent Monitoring of Diamond Grinding Wheel Wear

Abstract

In order to research the relationship between grinding wheel wear and the signal of grinding strength and grinding vibration, the grinding strength signal and grinding vibration signal under different wear condition were carried on digital processing by time-domain, frequency-domain, and wavelet-pocket analysis, and characteristic signal reflecting grinding wheel wear condition was obtained. Grinding wheel wear was monitored by time-domain statistics average value of grinding strength and energy value of three layers wavelet-pocket decomposition frequency band. The method how to set design parameters of neural network is introduced, and their value in condition monitoring network is determined. Mapping model of grinding wheel wear and characteristic signal is established. Recognition effect is satisfied in the experiment of grinding wheel wear condition monitoring. It confirmed the model is reliable and effective. The result shows that the new intelligent monitoring method is effective on monitoring grinding wheel deactivation condition. One new method of diamond grinding wheel wear condition monitoring under precision and ultra-precision grinding is introduced.

Research Progress of On-Line Measurement and Compensation Technology about Grinding Wheel Wear

“…Grinding force, cutting vibration based method. B. Zhao et al used time-domain statistics average value of grinding strength and energy value of three layers wavelet-pocket decomposition frequency band to monitor grinding wheel wear, and established a mapping model of grinding wheel wear and characteristic signal based on neural network [18]. Biswas I et al analyzed the effect of grinding forces and dressing current characteristics on grinding wheel wear, and defined a benchmark function for wear rate [19].…”

“…Therefore, the on-line measurement method about the amounts of grinding wheel wear is the key to solve the compensation. The current domestic and international on-line measurement methods about the amounts of grinding wheel wear are mainly based on position calibration [4], machine vision [5][6][7][8][9][10][11][12][13], laser displacement [14], acoustic emission [15][16][17], grinding force [18][19], cutting vibration [17,20], grinding acceleration [21] and pressure [22][23].…”