Optimization of a railway wheel profile to minimize flange wear and surface fatigue

被引：49

作者：

Choi, Ha-Young ^{[1
]}

Lee, Dong-Hyong ^{[1
]}

Lee, Jongsoo ^{[2
]}

机构：

[1] Korea Railway Res Inst, Kyeonggi 437757, South Korea

[2] Yonsei Univ, Sch Mech Engn, Seoul 120749, South Korea

来源：

WEAR | 2013年 / 300卷 / 1-2期

基金：

新加坡国家研究基金会;

关键词：

Rolling contact fatigue; Contact mechanics; Rail-wheel tribology; Wear testing; ROLLING-CONTACT FATIGUE; GENETIC ALGORITHM; DESIGN; PREDICTION;

D O I：

10.1016/j.wear.2013.02.009

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

Damage to wheels and rails due to wear and fatigue affects the safety and maintenance of railway vehicles. The present study optimizes profile of the wheel flange for reducing flange wear and surface fatigue on a curved track. The railway dynamic analysis program VAMPIRE is employed to calculate different loading conditions, contact pressure, wear and fatigue on the running surface of the wheel. The multi-objective optimization of minimizing both flange wear and surface fatigue is handled by a fast non-dominated sorting genetic algorithm, NSGA-II. Optimized designs yield better performance and reduced wear and fatigue compared to an initial wheel profile. (C) 2013 Elsevier B.V. All rights reserved.

引用

页码：225 / 233

页数：9

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