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 language | American English |
|---|---|
| Journal | Mechanics, Materials Science & Engineering |
| Volume | 7 |
| DOIs | |
| State | Published - 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