Wang, Y orcid.org/0000-0002-0830-4434, Dorgham, A, Liu, Y et al. (4 more authors) (2021) An Assessment of Quantitative Predictions of Deterministic Mixed Lubrication Solvers. Journal of Tribology, 143 (1). ISSN 0742-4787
Abstract
The ability to simulate mixed lubrication problems has greatly improved, especially in concentrated lubricated contacts. A mixed lubrication simulation method was developed by utilizing the semi-system approach which has been proven to be highly useful for improving stability and robustness of mixed lubrication simulations. Then different variants of the model were developed by varying the discretization schemes used to treat the Couette flow terms in the Reynolds equation, varying the evaluation of density derivatives and varying the contribution of terms in the coefficient matrix. The resulting pressure distribution, film thickness distribution, lambda ratio, contact ratio, and the computation time were compared and found to be strongly influenced by the choice of solution scheme. This indicates that the output from mixed lubrication solvers can be readily used for qualitative and parametric studies, but care should be taken when making quantitative predictions.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © 2020 by ASME. This is an author produced version of an article published in Journal of Tribology. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Mixed lubrication, deterministic model, numerical simulation, elastohydrodynamic lubrication |
Dates: |
|
Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mechanical Engineering (Leeds) > Institute of Functional Surfaces (Leeds) The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mechanical Engineering (Leeds) > Institute of Engineering Thermofluids, Surfaces & Interfaces (iETSI) (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 15 Sep 2020 13:38 |
Last Modified: | 28 Jul 2021 00:38 |
Status: | Published |
Publisher: | American Society of Mechanical Engineers |
Identification Number: | 10.1115/1.4047586 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:165566 |