Effect of uncertainty in external forcing on a fluid lubricated bearing

N. Y. Bailey, S. Hibberd, H. Power, M. V. Tretyakov

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Abstract

Developments in industrial applications motivate improvements in fluid lubricated bearing technology, enabling smaller face clearances and increased rotation rates. Associated film lubrication technology aims to improve efficiency and reliability. A bearing model is developed to evaluate the effect of external, potentially destabilising, random forcing applied to a pair of highly rotating axisymmetric bearing faces, separated by a thin fluid film. Two cases of random external force are examined. A first study considers an imposed random force disturbance constrained to a fixed period, where the average minimum face clearance together with the probability it reaches a specified gap tolerance. More general uncertainties are associated with more complex external forcing and takes the form of a white or coloured noise. In this case the average time for the face clearance to reach a prescribed tolerance is examined. Results can inform bearing design, providing an indication of the effect of disturbances on the average lifetime and identify constraints on operating conditions for safe and reliable behaviour.

Original languageEnglish
Title of host publicationMechanisms and Machine Science
EditorsK. Cavalca, H. Weber
Place of PublicationCham, Switzerland
PublisherSpringer Netherlands
Pages443-459
Number of pages17
ISBN (Print)9783319992716
DOIs
Publication statusPublished - 1 Jan 2019

Publication series

NameMechanisms and Machine Science
Volume63

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Keywords

  • Face clearance
  • Monte Carlo technique
  • Random external force
  • Reynolds equation
  • Uncertainty

ASJC Scopus subject areas

  • Mechanics of Materials
  • Mechanical Engineering

Cite this

Bailey, N. Y., Hibberd, S., Power, H., & Tretyakov, M. V. (2019). Effect of uncertainty in external forcing on a fluid lubricated bearing. In K. Cavalca, & H. Weber (Eds.), Mechanisms and Machine Science (pp. 443-459). (Mechanisms and Machine Science; Vol. 63). Cham, Switzerland: Springer Netherlands. https://doi.org/10.1007/978-3-319-99272-3_31