中国机械工程

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磨粒在线监测装置及其试验研究

张海聪;刘同冈;李林宁;邱先明   

  1. 中国矿业大学机电工程学院,徐州,221116
  • 出版日期:2018-01-10 发布日期:2018-01-04
  • 基金资助:
    江苏省自然科学基金资助项目(BK20131114);
    江苏省"六大人才高峰"高层次人才资助项目(2013-DZXX-018)
    Jiangsu Provincial Natural Science Foundation of China (No. BK20131114)
    Jiangsu Provincial Six Talent Summit Project(No. 2013-DZXX-018)

Experimental Study on On-line Monitoring Device for Wear Particles

ZHANG Haicong;LIU Tonggang;LI Linning;QIU Xianming   

  1. School of Mechanical and Electrical Engineering, China University of Ming and Technology,Xuzhou, Jiangsu,221116
  • Online:2018-01-10 Published:2018-01-04
  • Supported by:
    Jiangsu Provincial Natural Science Foundation of China (No. BK20131114)
    Jiangsu Provincial Six Talent Summit Project(No. 2013-DZXX-018)

摘要: 针对磨粒在线监测方案实施复杂、抗干扰能力差等问题,设计了一种基于磁场力测量的快速磨粒监测装置。对该装置磁场中的磨粒进行了运动学分析,并利用MATLAB求得了磨粒沉积轨迹的数值解。在此基础上,试验研究了磁场强度、油液黏度及输送速度对磨粒沉积的影响,并对监测装置的线性度、相关性、重复性、定量误差、灵敏度和磨粒捕捉范围进行了测试。结果表明:该磨粒在线监测装置性能稳定,符合监测要求,能够有效地捕捉粒度大于10μm的铁磁性磨粒,可实现对设备初期故障的快速预报。

关键词: 油液分析;磨粒监测;在线监测, 故障诊断

Abstract: A fast on-line monitoring device was developed for wear particle monitoring based on magnetic field forces, which solved the problems of complex implementation and poor anti-interference performances of traditional methods. The effects of magnetic field strength, oil viscosity and flow velocity on particle deposition were studied. The linearity, relevance, repeatability, quantitative error, sensitivity and capture range of the monitoring device were tested based on kinematic analysis of wear particles in the magnetic fields and numerical solutions of motion traces of wear particles by MATLAB. The results show that the device may effectively capture ferromagnetic particles with size larger than 10μm, which is stably and satisfies the demands of on-line monitoring, and then achieves rapid prediction of the initial mechanical faults of the equipment.

Key words: oil analysis, monitoring of wear particle, online monitoring;fault diagnosis

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