Tribodynamic Modelling of High-Speed Rolling Element Bearings in Flexible Multi-Body Environments

Harry Questa*, Mahdi Mohammadpour, Stephanos Theodossiades, Colin P. Garner, Stephen R. Bewsher, Günter Offner

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

This study presents a new flexible dynamic model for drive systems comprising lubricated bearings operating under conditions representative of electrified vehicle powertrains. The multi-physics approach importantly accounts for the tribological phenomena at the roller–race conjunction and models their effect on shaft-bearing system dynamics. This is achieved by embedding a non-linear lubricated bearing model within a flexible system level model; this is something which has not, to the authors’ knowledge, been reported on hitherto. The elastohydrodynamic (EHL) film is shown to increase contact deflection, leading to increased contact forces and total bearing stiffness as rotational speeds increase. Results show that for a 68 Nm hub motor operating up to 21,000 rpm, the input bearing EHL film reaches a thickness of 4.15 µm. The lubricant entrainment increases the roller–race contact deflection, causing the contact stiffness to increase non-linearly with speed. The contribution of the lubricant film leads to a 16.6% greater bearing stiffness at 21,000 rpm when compared to conventional dry-bearing modelling methods used in current multi-body dynamic software. This new methodology leads to more accurate dynamic response of high-speed systems necessary for the next generation of electrified vehicles.

Original languageEnglish
Article number93
JournalMachines
Volume11
Issue number1
DOIs
Publication statusPublished - Jan 2023
EventNAFEMS UK -
Duration: 7 Jun 20228 Jun 2022

Keywords

  • EHL
  • elastohydrodynamic
  • flexible multi-body dynamics
  • high-speed
  • roller bearings
  • tribodynamics

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science (miscellaneous)
  • Mechanical Engineering
  • Control and Optimization
  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering

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