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Identification of lubrication Regimes in Mechanical Seals using Acoustic Emission for Condition Monitoring

机译:使用声发射进行状态监测机械密封件鉴定润滑制度

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The quality of lubrication condition between seal faces directly affects the reliability, operating life and sealing performance of mechanical seals. Thus, the identification of lubrication regimes in face seals i.e. boundary lubrication (BL), mixed lubrication (ML) and hydrodynamic lubrication (HL) is of high importance for developing effective online condition monitoring approaches. This paper investigates the tribological behaviour and frictional characteristics of mechanical seals based on nonintrusive acoustic emission (AE) measurements. Mathematical models for AE generation mechanisms are derived based on the tribological behaviour and operating parameters of mechanical seals. They produce agreeable results with experimental data in explaining the types of AE signals observed in monitoring the face lubrication conditions. Frequency domain analysis of data shows that the viscous friction process generates more low frequency AE signals, whereas the asperity interactions show more high frequency AE. Moreover, the feasibility of using statistical parameters of the time domain data is shown to identify the lubrication regimes in face seals.
机译:密封面之间的润滑条件的质量直接影响机械密封的可靠性,操作寿命和密封性能。因此,识别面部密封件中的润滑制度I.。边界润滑(BL),混合润滑(M1)和流体动力润滑(HL)具有高度重要性,可以高度发展有效的在线状态监测方法。本文研究了基于非流体声发射(AE)测量的机械密封的摩擦学行为和摩擦特性。基于机械密封的摩擦学行为和操作参数来导出AE生成机制的数学模型。它们在说明在监测面部润滑条件下观察到的AE信号类型时,它们产生令人愉快的结果。数据的频域分析表明,粘性摩擦过程产生更多的低频AE信号,而粗糙相互作用则显示更多的高频AE。此外,示出了使用时域数据的统计参数的可行性,以识别面部密封件中的润滑制度。

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