Research On Intelligent Monitoring System For Wheel Wear Status In Precision Grinding

In the process of precision grinding,the machining precision is required.he wear state of grinding wheel often determines the surface quality of workpiece.The monitoring of grinding wheel wear state can effectively distinguish the working state of grinding wheel,reduce the number of grinding wheel dressing,and improve the processing quality.Based on the analysis of the characteristic signals in grinding process,the intelligent identification model is established by using support vector machine,and a complete intelligent monitoring system of grinding wheel wear is established.The main contents of this paper are as follows:In the process of precision grinding,the wear mechanism of grinding wheel,the cause of grinding wheel wear and the evaluation index of grinding wheel wear are deeply studied.The kinds and types of signals which can be applied to grinding wheel wear discrimination in precision grinding process are analyzed.Finally,acoustic emission,grinding force and vibration signals are selected as the monitoring signals of grinding wheel wear process.For acoustic emission signals,wavelet packet denoising and wavelet packet decomposition are adopted in this paper.Especially for the difficult problem of feature value extraction in grinding wheel wear monitoring process,this paper presents a new wavelet packet decomposition coefficient mean square value feature extraction method,which takes the extracted feature as the input of monitoring system.The grinding force and vibration signal are deeply studied,and it is found that the grinding wheel wear variation law can be effectively reflected.the grinding force ratio σ=Fn/Ft and the root mean square RMS value of vibration signal are proposed as the characteristic information of grinding wheel wear,and the two characteristic quantities are used as the input of monitoring system.The intelligent identification model of grinding wheel wear is established by using support vector machine,and the prediction models of acoustic emission,grinding force,vibration signal and grinding wheel wear state are established respectively.Finally,a complete set of precision grinding wheel wear intelligent monitoring system is established,and the experimental study of the system proves the feasibility of the established precision grinding wheel wear intelligent monitoring system.