摘要
金属颗粒是润滑油的主要污染指标,能反映机械设备的磨损状况,对油液中金属磨粒的在线监测可及时了解设备的故障信息,避免事故发生。针对润滑油中金属颗粒的监测提出了一种二节式螺线管传感器,介绍了传感器的监测原理,建立了螺线管检测灵敏度数学模型,并利用Maxwell有限元仿真软件分析了不同磨屑进入传感器后螺线管磁场及线圈感应电动势的变化。分析结果表明二节式螺线管传感器可实现对金属磨粒材质、大小及数量的检测,并且具有较高的检测灵敏度。
As the main pollution indicators of lubricating oil,metal abrasive can reflect the wear and tear of mechanical equipment.On-line monitoring of metal abrasive particles in oil can keep abreast of fault information of equipment and avoid accidents.This paper proposed a two-node solenoid sensor for the monitoring of metal abrasive particles in lubricating oils,and introduced the principle of sensor monitoring.The mathematical model of solenoid sensitivity was established,then the changes of the solenoid magnetic field and the coil induced electromotive force by the maxwell finite element simulation software when different abrasive grains enter the sensor were analyzed.The results of the analysis show that the two-segment solenoid sensor can detect the material,size and quantity of the metal abrasive,and has high detection sensitivity.
引文
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