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Modelling non-Gaussian surfaces and misalignment for condition monitoring of journal bearings.

Authors :
Ma, Jiaojiao
Fu, Chao
Zhang, Hao
Chu, Fulei
Shi, Zhanqun
Gu, Fengshou
Ball, Andrew D.
Source :
Measurement (02632241). Apr2021, Vol. 174, pN.PAG-N.PAG. 1p.
Publication Year :
2021

Abstract

• Non-Gaussian properties and misalignment are applied in tribofilm thickness. • Christensen's methods are extended by introducing the Gram-Charlier expansion. • Negative skewness and high kurtosis increase the misaligned journal bearing performances. • Non-Gaussian property impact on journal bearing is verified by simulations and experiments. In the hydrodynamic lubricated journal bearing system, the surface roughness and angular misalignment are two critical factors that affect bearing's performance. In this paper, the coupled effects of different non-Gaussian properties and misalignments are investigated on the performance of journal bearings. Christensen's stochastic model is extended by improving the probability density function of random roughness heights, which incorporates the Gram-Charlier expansion including skewness and kurtosis. In comparison with a Gaussian surface, the non-Gaussian rough surface has more significant influence on the bearing static performance. The negative skewness and large kurtosis increase the load capacity and decrease the friction coefficient. According to the simulations and experiments, non-Gaussian properties have more impact on the performance than misalignment when the journal bearing is operated in hydrodynamic lubrication regime based on different pressure distributions and vibration responses. These novel findings provide the basis for monitoring the conditions of hydrodynamic journal bearings. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02632241
Volume :
174
Database :
Academic Search Index
Journal :
Measurement (02632241)
Publication Type :
Academic Journal
Accession number :
149435993
Full Text :
https://doi.org/10.1016/j.measurement.2021.108983