Sensing and Measurement of Microgrinding Characteristic Signals Based on Acoustic Emission Monitoring
High-end materials are widely used in the field of precision industry,and the quality inspection of surface machining is one of the key problems.In order to further improve the ability of surface quality evaluation,a method based on acoustic emission monitoring was designed to detect the characteristic signals of industrial high-end materials in micro-grinding,and the relationship between acoustic emission signal RMS spectrum in time domain and signal energy in frequency band was discussed.The results show that there is an obvious friction effect between the abrasive particle and the surface of the polishing material,and the polishing material has a certain friction effect in the lower frequency range.When the edge width of the microcrack decreases from 48.125µm to 36.1231 μm,the energy proportion of the high frequency region decreases from 19.13％to 18.1％.The sampling interval of acoustic emission signal has a certain deviation from the width of the fracture edge,and the correlation between the two is only 0.452.In the early wear stage,there is a large vibration effect,and after entering the lower frequency band,more energy is obtained.This research is helpful to improve the efficiency of precision industrial processing and has a good guiding significance.
micro-grindingunsteady state characteristicsacoustic emissiontime-frequency domain characteristicssignal perception
NETL
NSTL
万方数据
