东北大学学报（自然科学版）

东北大学学报:自然科学版 ›› 2018, Vol. 39 ›› Issue (9): 1288-1292.DOI: 10.12068/j.issn.1005-3026.2018.09.015

• 机械工程 • 上一篇    下一篇

基于AE信号的新型砂轮点磨削状态监测方法

尹国强， 巩亚东， 李宥玮， 王飞   

  1. (东北大学 机械工程与自动化学院， 辽宁 沈阳110819)
  • 收稿日期:2017-05-27 修回日期:2017-05-27 出版日期:2018-09-15 发布日期:2018-09-12
  • 通讯作者: 尹国强
  • 作者简介:尹国强(1983-)，男，辽宁沈阳人，东北大学讲师，博士； 巩亚东(1958-)，男，辽宁本溪人，东北大学教授，博士生导师.冯明杰(1971-)， 男， 河南禹州人， 东北大学副教授; 王恩刚(1962-)， 男， 辽宁沈阳人， 东北大学教授，博士生导师.
  • 基金资助:
    国家自然科学基金资助项目(51705069， 51775100); 中央高校基本科研业务费青年教师科研启动资金资助项目(N160303002).国家自然科学基金资助项目(51171041).

Method for Grinding State Monitoring of Novel Point Grinding Wheels Based on AE Signal

YIN Guo-qiang， GONG Ya-dong， LI You-wei， WANG Fei   

  1. School of Mechanical Engineering & Automation， Northeastern University， Shenyang 110819， China.
  • Received:2017-05-27 Revised:2017-05-27 Online:2018-09-15 Published:2018-09-12
  • Contact: YIN Guo-qiang
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摘要： 提出了一种基于声发射(AE)信号对新型点磨削砂轮磨削状态进行实时监测方法.建立了表面粗糙度与AE信号的对应关系，为监测磨削加工表面粗糙度提供了条件.采用单因素实验研究了各参数对AE信号RMS值的影响规律，结果进一步证明了AE信号与表面粗糙度的对应关系.对比分析了砂轮不同磨损状况下的AE信号，依据此信号可对磨削状态进行实时监测.为了区分声发射源性质的异同，对磨削过程中的AE信号进行了频谱分析，砂轮发生磨损时，AE信号在45~65kHz，80~90kHz，100~110kHz频段的能量升高显著，并且在15kHz附近出现了很高的尖峰，为监测磨削状态提供了一种可行且有效的方法.

关键词: 点磨削, 新型砂轮, AE信号, 表面粗糙度, 磨削状态监测

Abstract: A method for grinding state real-time monitoring of a novel point grinding wheel was proposed based on the acoustic emission(AE) signal. The correspondence between surface roughness and the AE signals were established， which provided the condition for monitoring the surface roughness. Single factor experiments were used to obtain the influence of parameters on RMS values of the AE signals. The conclusion further proves the correspondence. Firstly， the AE signals of different wear state of grinding wheel were compared and analyzed. According to this signal， the grinding process could be monitored in real time. Secondly， in order to distinguish the sources of the AE signals， spectrum analysis of the AE signals was carried out. When the grinding wheel worn， the energy of AE signals in 45~65kHz， 80~90kHz and 100~110kHz were significantly increased and there is a high spike at 15kHz. Therefore， the as-proposed method is feasible and effective.

Key words: point grinding, novel grinding wheels, AE signal, surface roughness, grinding state monitoring

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