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Dataset supporting the publication ‘A Comprehensive Combined Experimental and Computational Framework for Pre-clinical Wear Simulation of Total Knee Replacements’

Abdelgaied, Abdellatif and Fisher, John and Jennings, Louise (2017) Dataset supporting the publication ‘A Comprehensive Combined Experimental and Computational Framework for Pre-clinical Wear Simulation of Total Knee Replacements’. University of Leeds. [Dataset] https://doi.org/10.5518/269

Dataset description

A more robust pre-clinical wear simulation framework is required in order to simulate wider and higher ranges of activities, observed in different patient populations such as younger more active patients. Such a framework will help to understand and address the reported higher failure rates for younger and more active patients (National_Joint_Registry, 2016). The current study has developed and validated a comprehensive combined experimental and computational framework for pre-clinical wear simulation of total knee replacements (TKR). The input mechanical (elastic modulus and Poisson’s ratio) and wear parameters and of the moderately cross-linked ultra-high molecular weight polyethylene (UHMWPE) bearing material were independently measured from experimental studies under realistic test conditions, similar to the loading conditions found in the total knee replacements.. The wear predictions from the computational wear simulation were validated against the direct experimental wear measurements for size 3 Sigma curved total knee replacements (DePuy, UK) in an independent experimental wear simulation study under three different daily activities; walking, deep squat, and stairs ascending kinematic conditions. The measured compressive mechanical properties of the moderately cross-linked UHMWPE material were more than 20% lower than that reported in the literature under tensile test conditions. The pin-on-plate wear coefficient of moderately cross-linked UHMWPE was significantly dependant of the contact stress and the degree of cross-shear at the articulating surfaces. The computational wear predictions for the TKR from the current framework were consistent and in a good agreement with the independent full TKR experimental wear simulation measurements, with 0.94 coefficient of determination of the framework. In addition, the comprehensive combined experimental and computational framework was able to explain the complex experimental wear trends from the three different daily activities investigated. Therefore, such a framework can be adopted as a pre-clinical simulation approach to optimise different designs, materials, as well as patient’s specific total knee replacements for a range of activities.

Keywords: Wear; Moderately cross-linked ultra-high molecular weight polyethylene; Total knee replacements; Standard kinematics; Deep squat; Stairs ascending
Subjects: H000 - Engineering > H100 - General engineering > H160 - Bioengineering, biomedical engineering & clinical engineering
H000 - Engineering > H100 - General engineering > H160 - Bioengineering, biomedical engineering & clinical engineering > H162 - Biomechanics (including fluid & solid mechanics)
H000 - Engineering > H100 - General engineering > H160 - Bioengineering, biomedical engineering & clinical engineering > H161 - Biomaterials
Divisions: Faculty of Biological Sciences > Institute of Medical and Biological Engineering
Faculty of Engineering > Institute of Medical and Biological Engineering
Faculty of Engineering > School of Mechanical Engineering > Institute of Medical and Biological Engineering
Related resources:
LocationType
https://doi.org/10.1016/j.jmbbm.2017.11.022Publication
http://eprints.whiterose.ac.uk/124189/Publication
License: Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited: 12 Jan 2018 12:07
URI: https://archive.researchdata.leeds.ac.uk/id/eprint/301

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