基于声发射监测的砂轮磨损实验

难加工材料的高硬度和高耐磨性使得磨削加工过程中砂轮的损耗变快，目前主要依靠经验判断砂轮的修整和更换周期，很有可能导致修整不及时的情况发生.本文用声发射信号和磨削力信号共同精确监测砂轮磨损状态，通过分析不同磨损状态的砂轮磨削时对应的声发射信号的特征参数以及磨削力和磨削力比的变化情况，综合判断了实验过程中砂轮的磨损状态.结果表明:声发射信号特征参数都与砂轮磨损状态有一定相关性，且磨削力比与砂轮磨损程度的相关性最大，证明了声发射监测技术在砂轮修整中的有效性，为实际生产加工提供了理论指导.

Grinding Wheel Wear Experiment Based on Acoustic Emission Monitoring

Due to the high hardness and wear resistance of difficult-to-machine materials， the grinding wheel wears faster in the grinding process. At present， the dressing and replacement cycle of the grinding wheel is mainly judged by experience， which may lead to untimely dressing. Accordingly， the wear state of grinding wheel was accurately monitored by combining acoustic emission signals and grinding force signals. By analyzing the characteristic parameters of acoustic emission signals， the changes of grinding force and grinding force ratio during the grinding of grinding wheels with different wear states， the wear state of grinding wheels during the experimental process was comprehensively judged. The results showed that the acoustic emission signals are all correlated with the grinding wheels’ wear state， and the grinding force ratio is the most correlated with the grinding wheels’ wear degree， which proves the effectiveness of the acoustic emission monitoring technology in grinding wheel dressing and provides theoretical guidance for the actual production process.