Abstract
Aiming at the problem of on-line real-time monitoring of grinding wheel wear state in ultra-precision grinding, the wear experimental research of fused silica optics is carried out by using acoustic emission technology. The grinding wheel wear state is determined according to the micro morphology of grinding wheel surface. On this basis, the variation law of acoustic emission signal with grinding wheel wear state is revealed, and the quantitative relationship between the root mean square value of acoustic emission signal, grinding force grinding, wheel spindle power and grinding wheel wear state is built. The wavelet packet transform is used to decompose the acoustic emission signal, studying the variation law of root mean square value of acoustic emission signal in different frequency bands under different grinding wheel wear, taking it as the feature of grinding wheel wear, and obtaining the early warning threshold for grinding wheel wear passivation according to the micro morphology of grinding wheel surface. It’s helpful to monitor and control the wear state of diamond grinding wheel in the grinding process of optics through the analysis of acoustic emission signal, so as to improve the grinding efficiency and quality of optics.
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