Lu, X, Nečas, D, Meng, Q orcid.org/0000-0002-6708-5585 et al. (4 more authors) (2020) Towards the direct validation of computational lubrication modelling of hip replacements. Tribology International, 146. 106240. p. 106240. ISSN 0301-679X
Abstract
This study attempted to provide insights into validating computational lubrication modelling of hip replacements. Direct comparisons between experimental measurements and numerical simulations were conducted for the central film thickness in a CoCr-on-glass hip bearing pair. A low-viscosity mineral oil and a 25% bovine serum were used as lubricants, respectively. Results indicated that for the low-viscosity lubricant case, the film thicknesses predicted by the computational model were comparable to the experimental measurements. For the bovine serum case, the computational results did not agree with those measured by experiments due to the viscosity model adopted in the computational models. A new effective viscosity equation was proposed to accurately predict the lubrication performance of hip replacements for protein-containing lubricants under transient conditions.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020 Published by Elsevier Ltd. All rights reserved. This is an author produced version of an article published in Tribology International. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Artificial hip joint; Lubrication; Computational modelling; Validation |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mechanical Engineering (Leeds) > Institute of Medical and Biological Engineering (iMBE) (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 19 Feb 2020 15:37 |
Last Modified: | 04 Feb 2021 01:39 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.triboint.2020.106240 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:157348 |
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Filename: Xianjiu Lu et al 2019 (R1) - deposit.pdf
Licence: CC-BY-NC-ND 4.0