黄铜全流量在线磨粒静电监测实验研究

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为深入了解静电监测方法对黄铜的监测能力,采用自制的全流量在线磨粒静电传感器开展黄铜的静电监测方法研究。研究了润滑条件下轴承钢-黄铜滑动摩擦荷电磨粒的产生机理并设计了磨粒静电监测系统,开展了三种尺寸的轴承钢球和黄铜球的单颗粒注入实验、双颗粒注入实验以及相同载荷、不同滑动速度的轴承钢-黄铜滑动摩擦磨损实验,对摩擦因数、静电感应信号、静电信号均方根值进行相关性分析。研究结果表明：全流量在线磨粒静电传感器具有较好的检测一致性;静电监测方法对黄铜的监测能力强于对轴承钢的监测能力;摩擦因数与静电监测信号具有相关性,在磨损阶段,静电感应信号出现脉冲尖峰与持续上升。 In order to deeply understand the condition monitoring capability of the non--ferromag- netic metal materials such as brass alloy, an oil--line debris electrostatic sensor was used to investi- gate the method of electrostatic monitoring for brass. The charging mechanism of oil lubricated bear- ing steel--brass friction pair metallic debris was researched and an electrostatic monitoring system was designed. Three types of experiments were carried out. The first one was the particles injection of three sizes bearing steel balls and brass balls single particle through the sensor and double particles through the sensor. The second was the sliding contact of the same load and different speeds friction and wear on modified pin--on--disc tribometer, then the friction coefficient, oil--line debris electro- static signals, electrostatic signal root mean square （RMS） were obtained and the correlation was ana- lyzed. The results show： the oil--line debris electrostatic sensor has better consistency of test re suits; the electrostatic monitoring capability of non--ferromagnetic metal materials such as brass is better than that of ferromagnetic metal materials such as bearing steel; the friction coefficient has a strong correlation with the electrostatic signals, during the stage of wear the electrostatic signal shows pulse and increases in the RMS of signal.