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Tribodynamic modelling of high-speed rolling element bearings in flexible multi-body environments

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journal contribution
posted on 2023-01-23, 14:18 authored by Harry QuestaHarry Questa, Mahdi Mohammad-PourMahdi Mohammad-Pour, Stephanos TheodossiadesStephanos Theodossiades, Colin GarnerColin Garner, Stephen R. Bewsher, Gunter Offner

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; 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.

Funding

Loughborough University

AVL List GmbH

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

Machines

Volume

11

Issue

1

Publisher

MDPI

Version

VoR (Version of Record)

Rights holder

© The authors

Publisher statement

This article is an Open Access article published by MDPI and distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

Acceptance date

2023-01-06

Publication date

2023-01-11

Copyright date

2023

eISSN

2075-1702

Language

en

Depositor

Dr Mahdi Mohammad Pour. Deposit date: 6 January 2023

Article number

93