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    Predictive bio-computational wear modeling for joint replacements

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    Citable Link(s)
    http://hdl.handle.net/11124/18004
    http://dx.doi.org/10.25676/11124/18004
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    Predictive Bio-Computational Wear Modeling for Joint Replacements (1.262Mb)
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    Abstract
    Polyethylene wear has long been a topic of concern for the longevity of joint replacement systems as bearing failure is the leading cause for the need of revision surgery. Experimental simulations are costly and time consuming; therefore, a more efficient solution for predicting wear is computer simulation. Predictive computational modeling of the adhesive/abrasive wear mechanism has been in use for over a decade, but the accuracy of such models is still under debate [1-7]. Recent studies have shown that cross-path motion, as seen in joint replacements, results in elevated wear and shortens the ...
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    Author(s)
    Armstrong, Jeffrey R.; Petrella, Anthony J.

    Date
    2010
    Format
    posters
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    • 2010 Research Fair poster sessions

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