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Prediction of friction in EHL contacts for drivetrain applications

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conference contribution
posted on 2019-01-21, 13:40 authored by Gajarajan Sivayogan, Ramin RahmaniRamin Rahmani, Homer Rahnejat
Prediction of frictional losses in elastohydrodynamic lubricated contacts is of particular importance from the viewpoint of energy efficiency, thus reduced levels of emissions. There are increasingly stringent government regulations. Thus, the industry strives to identify potential losses and improve energy efficiency. Most losses occur in a large number of load bearing conjunctions in all forms of mechanisms and machines. These losses are affected by the operating conditions, such as applied load, contact kinematics and generated temperature. Prediction of prevailing conditions, such as generated pressures, film thickness is the prelude to evaluation of frictional power losses. Many contact conjunctions in vehicular drivetrains are subjected to elastohydrodynamic conditions, the fundamental aspects of which are still evolving. In particular, effective prediction of performance of elastohydrodynamic lubricated (EHL) contacts is subject to inclusion of realistic contact conditions, particularly with respect to inlet and outlet boundary conditions as well as kinematics of contact. This paper demonstrates the importance of boundary conditions on predictions of prevailing situations.

Funding

The supports of EPSRC under the CDT-EI are acknowledged.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

4th Biennial International Conference on Powertrain Modelling and Control (PMC 2018)

Pages

? - ? (18)

Citation

SIVAYOGAN, G., RAHMANI, R. and RAHNEJAT, H., 2018. Prediction of friction in EHL contacts for drivetrain applications. Presented at the 4th Biennial International Conference on Powertrain Modelling and Control (PMC 2018), Loughborough University, 10-11th September.

Publisher

Loughborough University

Version

  • VoR (Version of Record)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2018

Notes

This is a conference paper.

Language

  • en

Location

Loughborough University