Cite the paper
T. Goswami, V. Perel (2016). Probabilistic Analysis of Wear of Polymer Material used in Medical Implants. Mechanics, Materials Science & Engineering, Vol 7. doi:10.2412/mmse.7.971.990
Authors: T. Goswami, V. Perel
ABSTRACT. Probabilistic methods are applied to the study of fatigue wear of sliding surfaces. A variance of time to failure (to occurrence of maximum allowable wear depth) is evaluated as a function of a mean wear rate of normal wear and a size of wear particles. A method of estimating probability of failure-free work during a certain time interval (reliability) is presented. An effect of the bedding-in phase of wear on the reliability is taken into account. Experimental data for Ultra High Molecular Weight Polyethylene (UHMWPE) cups of artificial hip implants is used to make numerical calculations.
Keywords: medical implants, wear, probabilistic analysis, reliability
 Gupta P.K., Cook N.M., Statistical analysis of mechanical interaction of rough surface, ASME, J. Lubr. Techn. F., 1972, Vol. 94, N1, pp. 14-23.
 Gertsbakh I.B., Kordonsky Kh.B., Models of Failure. Springer, 1969
 Hisakado T., On the mechanism of contact between solid surfaces, Bull. ASME, 1969, Vol. 12, N 54, pp. 1528-1549.
 Kurtz S., The UHMWPE Handbook. Elsevier, 2004
 Korn G.A., Korn T.M., Mathematical Handbook for Scientists and Engineers. MGraw Hill Book Company, 1961
 Proakis J.G., Manolakis D.G., Digital Signal Processing. Principles, Algorithms and Applications. Prentice Hall, 1996
 Rabinowicz E., Friction and Wear of Materials. N.Y.: Wiley, 1965
 Skorokhod A.V., Basic Principle and Applications of Probability Theory. Springer, 2005, DOI 10.1007/b137401
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