| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1651993 | Materials Letters | 2008 | 5 Pages |
Abstract
Wear is one of the most critical problems in mechanics, oil, and gas industries among other industrial fields. Electrolytic Hard Chromium (EHC) and HVOF thermal spraying for applications of various materials have proved to be effective against wear. In this study, the results of wear tests for WC–12Co, Cr3C2–25NiCr, Tribaloy©-400, and EHC are predicted and compared using an artificial intelligence methodology. It has been shown that predicted wear analysis permits to determine friction moment for different loading conditions. The best candidate seems to be WC–12Co for which worn surface reveals prevailing adhesion mechanism responsible for the lowering of the friction moment.
Related Topics
Physical Sciences and Engineering
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Nanotechnology
Authors
T. Sahraoui, S. Guessasma, N.E. Fenineche,