Research Data Leeds Repository

Dataset associated with 'Development of a preclinical natural porcine knee simulation model for the tribological assessment of osteochondral grafts in vitro'

Bowland, Philippa and Ingham, Eileen and Fisher, John and Jennings, Louise (2018) Dataset associated with 'Development of a preclinical natural porcine knee simulation model for the tribological assessment of osteochondral grafts in vitro'. University of Leeds. [Dataset] https://doi.org/10.5518/473

Dataset description

Data associated with the paper "Development of a preclinical natural porcine knee simulation model for the tribological assessment of osteochondral grafts in vitro". This dataset contains: - Figure 4. Mean shear force values at 120 min test duration plotted against time during one cycle (1s) of the gait cycle (n = 4). - Figure 5. Mean displacement values at 120 min test duration plotted against time during one cycle (1s) of the gait cycle (n = 4). - Figure 7. Volume (mm3) extending beneath the meniscal surface - Figure 8. Penetration depth measured in areas of damage, wear and deformation on the meniscal surface

Keywords: Tribology, Joint simulator, Natural knee joint, Osteochondral graft, Allograft, Cartilage, Alicona, Wear analysis
Subjects: H000 - Engineering > H100 - General engineering > H160 - Bioengineering, biomedical engineering & clinical engineering
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.jbiomech.2018.06.014Publication
http://eprints.whiterose.ac.uk/132389/Publication
License: Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited: 21 Nov 2018 14:54
URI: https://archive.researchdata.leeds.ac.uk/id/eprint/454

Files

Documentation

Data

Research Data Leeds Repository is powered by EPrints
Copyright © 2021 University of Leeds