Probabilistic Analysis of Wear of Polymer Material Used in Medical Implants

V. Perel, Tarun Goswami

Research output: Contribution to journalArticlepeer-review

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.

Original languageAmerican English
JournalMechanics, Materials Science & Engineering
Volume7
DOIs
StatePublished - Jan 1 2017

Keywords

  • medical implants
  • probabilistic analysis
  • reliability
  • wear

Disciplines

  • Biomedical Engineering and Bioengineering
  • Engineering
  • Industrial Engineering
  • Operations Research, Systems Engineering and Industrial Engineering

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