You are being redirected because this document is part of your ASTM Compass® subscription.
    This document is part of your ASTM Compass® subscription.


    Utilizing Validated Computational Models to Predict Tibial Insert Abrasion in Mobile Bearing Knees: A Design Performance Standard

    Published: 2011

      Format Pages Price  
    PDF (264K) 14 $25   ADD TO CART
    Complete Source PDF (6.3M) 250 $76   ADD TO CART


    Validated computational models that successfully predict clinically observed outcomes, such as damage occurring in the polymer insert component of a Mobile Bearing Knee (MBK) replacement design, are powerful predictive tools. This paper demonstrates the long term use of a validated computational model that uses the finite element method to visualize the magnitude and location of stresses on the polymer insert associated with abrasive wear damage that occurs in vivo. The use of component geometries generated from three-dimensional laser scans of sterilized, implantable quality components allows detection of poor fit between manufactured component articulations, which is key to successful prediction of observed clinical wear patterns in tibial inserts. The robustness of the model is demonstrated by its ability to predict expected and unexpected wear simulator and clinical retrieval outcomes for a wide variety of MBK designs. It can then be used with some confidence to determine the effect that new, innovative component design changes will have on polymer damage. Validated computational models provide rapid evaluations of anticipated design and material performance at a lower cost than other methods, with results that are predictive of clinical outcomes and allow direct comparison between devices. These methods should be accepted as an a priori evaluative tool by standards and regulatory bodies.


    mobile bearing knee, finite element, stress, abrasive wear

    Author Information:

    Morra, Edward
    Orthopaedic Research Laboratories, Cleveland, OH

    Greenwald, A. Seth
    Orthopaedic Research Laboratories, Cleveland, OH

    Committee/Subcommittee: F04.22

    DOI: 10.1520/STP153120120006