Literature DB >> 18298180

Predicting knee replacement damage in a simulator machine using a computational model with a consistent wear factor.

Dong Zhao1, Hideyuki Sakoda, W Gregory Sawyer, Scott A Banks, Benjamin J Fregly.   

Abstract

Wear of ultrahigh molecular weight polyethylene remains a primary factor limiting the longevity of total knee replacements (TKRs). However, wear testing on a simulator machine is time consuming and expensive, making it impractical for iterative design purposes. The objectives of this paper were first, to evaluate whether a computational model using a wear factor consistent with the TKR material pair can predict accurate TKR damage measured in a simulator machine, and second, to investigate how choice of surface evolution method (fixed or variable step) and material model (linear or nonlinear) affect the prediction. An iterative computational damage model was constructed for a commercial knee implant in an AMTI simulator machine. The damage model combined a dynamic contact model with a surface evolution model to predict how wear plus creep progressively alter tibial insert geometry over multiple simulations. The computational framework was validated by predicting wear in a cylinder-on-plate system for which an analytical solution was derived. The implant damage model was evaluated for 5 million cycles of simulated gait using damage measurements made on the same implant in an AMTI machine. Using a pin-on-plate wear factor for the same material pair as the implant, the model predicted tibial insert wear volume to within 2% error and damage depths and areas to within 18% and 10% error, respectively. Choice of material model had little influence, while inclusion of surface evolution affected damage depth and area but not wear volume predictions. Surface evolution method was important only during the initial cycles, where variable step was needed to capture rapid geometry changes due to the creep. Overall, our results indicate that accurate TKR damage predictions can be made with a computational model using a constant wear factor obtained from pin-on-plate tests for the same material pair, and furthermore, that surface evolution method matters only during the initial "break in" period of the simulation.

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Year:  2008        PMID: 18298180     DOI: 10.1115/1.2838030

Source DB:  PubMed          Journal:  J Biomech Eng        ISSN: 0148-0731            Impact factor:   2.097


  8 in total

1.  Preferential superior surface motion in wear simulations of the Charité total disc replacement.

Authors:  Curtis M Goreham-Voss; Rachel Vicars; Richard M Hall; Thomas D Brown
Journal:  Eur Spine J       Date:  2010-06-26       Impact factor: 3.134

2.  Wear predictions for UHMWPE material with various surface properties used on the femoral component in total knee arthroplasty: a computational simulation study.

Authors:  Kyoung-Tak Kang; Juhyun Son; Ho-Joong Kim; Changhyun Baek; Oh-Ryong Kwon; Yong-Gon Koh
Journal:  J Mater Sci Mater Med       Date:  2017-05-22       Impact factor: 3.896

3.  Cross-shear implementation in sliding-distance-coupled finite element analysis of wear in metal-on-polyethylene total joint arthroplasty: intervertebral total disc replacement as an illustrative application.

Authors:  Curtis M Goreham-Voss; Philip J Hyde; Richard M Hall; John Fisher; Thomas D Brown
Journal:  J Biomech       Date:  2010-06-18       Impact factor: 2.712

4.  Computational wear simulation of patellofemoral articular cartilage during in vitro testing.

Authors:  Lingmin Li; Shantanu Patil; Nick Steklov; Won Bae; Michele Temple-Wong; Darryl D D'Lima; Robert L Sah; Benjamin J Fregly
Journal:  J Biomech       Date:  2011-03-30       Impact factor: 2.712

5.  Effect of motion inputs on the wear prediction of artificial hip joints.

Authors:  Feng Liu; John Fisher; Zhongmin Jin
Journal:  Tribol Int       Date:  2013-07       Impact factor: 4.872

6.  Computational wear of knee implant polyethylene insert surface under continuous dynamic loading and posterior tibial slope variation based on cadaver experiments with comparative verification.

Authors:  Alaettin Ozer
Journal:  BMC Musculoskelet Disord       Date:  2022-09-19       Impact factor: 2.562

7.  A comprehensive combined experimental and computational framework for pre-clinical wear simulation of total knee replacements.

Authors:  A Abdelgaied; J Fisher; L M Jennings
Journal:  J Mech Behav Biomed Mater       Date:  2017-11-17

8.  Computational wear prediction of insert conformity and material on mobile-bearing unicompartmental knee arthroplasty.

Authors:  Y-G Koh; J-A Lee; H-Y Lee; H-J Kim; K-T Kang
Journal:  Bone Joint Res       Date:  2019-12-03       Impact factor: 5.853

  8 in total

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