Predictive Bio-Computational Wear Modeling for Joint Replacements

Jeffrey Armstrong & Anthony Petrella
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...
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