Abstract
Computational wear simulation of TAR were developed using the Archard’s wear model. Wear rate is the ultimate performance indicator of wear. The parameter such as ankle joint loading and kinematics were used in determining wear rates. Historically, wear performance was assessed by experimental means of clinical and physical simulators. Therefore, this present studies was used the finite element method to predict wear of TAR with adaptive re-meshing technique. The wear sensitivity test was conducted to determine the wear update interval and converge at 0.5 million cycles for update interval.
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Saad, A.P.B.M., Syahrom, A., Harun, M.N., Kadir, M.R.A. (2016). Wear of Total Ankle Replacement (TAR). In: Wear Prediction on Total Ankle Replacement. SpringerBriefs in Applied Sciences and Technology(). Springer, Cham. https://doi.org/10.1007/978-3-319-21723-9_3
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DOI: https://doi.org/10.1007/978-3-319-21723-9_3
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