Predictive wear modeling of the articulating metal-on-metal hip replacements

Gao, L. ORCID: 0000-0002-3738-3573, Dowson, D. and Hewson, R.W., 2017. Predictive wear modeling of the articulating metal-on-metal hip replacements. Journal of Biomedical Materials Research Part B: Applied Biomaterials, 105 (3), pp. 497-506. ISSN 1552-4973

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Abstract

The lubrication regime in which artificial hip joints operate adds complexity to the prediction of wear, as the joint operates in both the full fluid film regime—specifically the elastohydrodynamic lubrication (EHL) regime—and the mixed or boundary lubrication regimes, where contact between the bearing surfaces results in wear. In this work, a wear model is developed which considers lubrication for the first time via a transient EHL model of metal‐on‐metal hip replacements. This is a framework to investigate how the change in film thickness influences the wear, which is important to further investigation of the complex wear procedure, including tribocorrosion, in the lubricated hip implants. The wear model applied here is based on the work of Sharif et al. who adapted the Archard wear law by making the wear rate a function of a relative film thickness nominalized by surface roughness for examining wear of industrial gears. In this work, the gait cycle employed in hip simulator tests is computationally investigated and wear is predicted for two sizes of metal‐on‐metal total hip replacements. The wear results qualitatively predict the typical wear curve obtained from experimental hip simulator tests, with an initial "running‐in period" before a lower wear rate is reached. The shape of the wear scar has been simulated on both the acetabular cup and the femoral head bearing surfaces.

Item Type: Journal article
Publication Title: Journal of Biomedical Materials Research Part B: Applied Biomaterials
Creators: Gao, L., Dowson, D. and Hewson, R.W.
Publisher: John Wiley
Date: April 2017
Volume: 105
Number: 3
ISSN: 1552-4973
Identifiers:
NumberType
10.1002/jbm.b.33568DOI
Divisions: Schools > School of Science and Technology
Depositing User: Linda Sullivan
Date Added: 19 Jun 2019 08:09
Last Modified: 19 Jun 2019 08:09
URI: http://irep.ntu.ac.uk/id/eprint/36848

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