Zhang, J, Chen, Z, Wang, L et al. (2 more authors) (2017) A Patient-specific Wear Prediction Framework for an Artificial Knee Joint with Coupled Musculoskeletal Multibody-dynamics and Finite Element Analysis. Tribology International, 109. pp. 382-389. ISSN 0301-679X
Abstract
A novel wear prediction framework was developed by coupling a patient-specific lower extremity musculoskeletal multibody dynamics model with the finite element contact mechanics and wear model of total knee replacement. The tibiofemoral contact forces and kinematics were influenced by articular surface wear, and in turn, the variations from the knee dynamics resulted in increases in the volumetric wear of 404.41 mm3 after 30 million cycle simulation from 380.86 mm3 from the traditional wear prediction using fixed load/motions. The developed patient-specific wear prediction framework provided a reliable virtual platform for investigating articular surface wear of total knee replacements.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2016 Published by Elsevier Ltd. This is an author produced version of a paper published in Tribology International. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Wear prediction; Finite-element method; Musculoskeletal multibody dynamics; Total knee replacement |
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: | 17 Nov 2016 16:48 |
Last Modified: | 15 Nov 2017 01:38 |
Published Version: | https://doi.org/10.1016/j.triboint.2016.10.050 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.triboint.2016.10.050 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:107688 |