Sivayogan_et_al_PMC2018.pdf (1.09 MB)
Prediction of friction in EHL contacts for drivetrain applications
conference contribution
posted on 2019-01-21, 13:40 authored by Gajarajan Sivayogan, Ramin RahmaniRamin Rahmani, Homer RahnejatPrediction 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 UniversityVersion
- 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
2018Notes
This is a conference paper.Publisher version
Language
- en