Friction moment prediction of HVOF coatings and electroplated hard chromium

被引：8
作者：
Sahraoui, T. [2 ]
Guessasma, S. [1 ]
Fenineche, N. E. [3 ]
机构：
[1] INRA, Unit Rech Biopolymeres, F-44316 Nantes 3, France
[2] Univ Blida, LTSM, Dept Mecan, Blida 09000, Algeria
[3] Univ Technol Belfort Montbeliard, LERMPS, F-90010 Sevenans, France
来源：
MATERIALS LETTERS | 2008年 / 62卷 / 03期
关键词：
thermal spray; friction moment; artificial neural network;
D O I：
10.1016/j.matlet.2007.05.083
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
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 (c)-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. (c) 2007 Elsevier B.V. All rights reserved.
引用
收藏
页码：473 / 477
页数：5
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