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Effect of motion inputs on the wear prediction of artificial hip joints
Hip joint simulators have been largely used to assess the wear performance of joint implants. Due to the complexity of joint movement, the motion mechanism adopted in simulators varies. The motion condition is particularly important for ultra-high molecular weight polyethylene (UHMWPE) since polyeth...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Butterworth Scientific]
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4270454/ https://www.ncbi.nlm.nih.gov/pubmed/25540472 http://dx.doi.org/10.1016/j.triboint.2012.05.029 |
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author | Liu, Feng Fisher, John Jin, Zhongmin |
author_facet | Liu, Feng Fisher, John Jin, Zhongmin |
author_sort | Liu, Feng |
collection | PubMed |
description | Hip joint simulators have been largely used to assess the wear performance of joint implants. Due to the complexity of joint movement, the motion mechanism adopted in simulators varies. The motion condition is particularly important for ultra-high molecular weight polyethylene (UHMWPE) since polyethylene wear can be substantially increased by the bearing cross-shear motion. Computational wear modelling has been improved recently for the conventional UHMWPE used in total hip joint replacements. A new polyethylene wear law is an explicit function of the contact area of the bearing and the sliding distance, and the effect of multidirectional motion on wear has been quantified by a factor, cross-shear ratio. In this study, the full simulated walking cycle condition based on a walking measurement and two simplified motions, including the ISO standard motion and a simplified ProSim hip simulator motion, were considered as the inputs for wear modelling based on the improved wear model. Both the full simulation and simplified motions generated the comparable multidirectional motion required to reproduce the physiological wear of the bearing in vivo. The predicted volumetric wear of the ProSim simulator motion and the ISO motion conditions for the walking cycle were 13% and 4% lower, respectively, than that of the measured walking condition. The maximum linear wear depths were almost the same, and the areas of the wear depth distribution were 13% and 7% lower for the ProSim simulator and the ISO condition, respectively, compared with that of the measured walking cycle motion condition. |
format | Online Article Text |
id | pubmed-4270454 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Butterworth Scientific] |
record_format | MEDLINE/PubMed |
spelling | pubmed-42704542014-12-22 Effect of motion inputs on the wear prediction of artificial hip joints Liu, Feng Fisher, John Jin, Zhongmin Tribol Int Article Hip joint simulators have been largely used to assess the wear performance of joint implants. Due to the complexity of joint movement, the motion mechanism adopted in simulators varies. The motion condition is particularly important for ultra-high molecular weight polyethylene (UHMWPE) since polyethylene wear can be substantially increased by the bearing cross-shear motion. Computational wear modelling has been improved recently for the conventional UHMWPE used in total hip joint replacements. A new polyethylene wear law is an explicit function of the contact area of the bearing and the sliding distance, and the effect of multidirectional motion on wear has been quantified by a factor, cross-shear ratio. In this study, the full simulated walking cycle condition based on a walking measurement and two simplified motions, including the ISO standard motion and a simplified ProSim hip simulator motion, were considered as the inputs for wear modelling based on the improved wear model. Both the full simulation and simplified motions generated the comparable multidirectional motion required to reproduce the physiological wear of the bearing in vivo. The predicted volumetric wear of the ProSim simulator motion and the ISO motion conditions for the walking cycle were 13% and 4% lower, respectively, than that of the measured walking condition. The maximum linear wear depths were almost the same, and the areas of the wear depth distribution were 13% and 7% lower for the ProSim simulator and the ISO condition, respectively, compared with that of the measured walking cycle motion condition. Butterworth Scientific] 2013-07 /pmc/articles/PMC4270454/ /pubmed/25540472 http://dx.doi.org/10.1016/j.triboint.2012.05.029 Text en © 2013 Elsevier Ltd. https://creativecommons.org/licenses/by/3.0/Open Access under CC BY 3.0 (https://creativecommons.org/licenses/by/3.0/) license |
spellingShingle | Article Liu, Feng Fisher, John Jin, Zhongmin Effect of motion inputs on the wear prediction of artificial hip joints |
title | Effect of motion inputs on the wear prediction of artificial hip joints |
title_full | Effect of motion inputs on the wear prediction of artificial hip joints |
title_fullStr | Effect of motion inputs on the wear prediction of artificial hip joints |
title_full_unstemmed | Effect of motion inputs on the wear prediction of artificial hip joints |
title_short | Effect of motion inputs on the wear prediction of artificial hip joints |
title_sort | effect of motion inputs on the wear prediction of artificial hip joints |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4270454/ https://www.ncbi.nlm.nih.gov/pubmed/25540472 http://dx.doi.org/10.1016/j.triboint.2012.05.029 |
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