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

Ha Young Choi, Dong Hyong Lee, Jongsoo Lee

Research output: Contribution to journalArticle

17 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)225-233
Number of pages9
JournalWear
Volume300
Issue number1-2
DOIs
Publication statusPublished - 2013 Mar 15

Fingerprint

flanges
Flanges
wheels
Wheels
Wear of materials
Fatigue of materials
optimization
profiles
sorting algorithms
rails
Multiobjective optimization
Sorting
genetic algorithms
Dynamic analysis
maintenance
Rails
safety
vehicles
Genetic algorithms
damage

All Science Journal Classification (ASJC) codes

  • Condensed Matter Physics
  • Mechanics of Materials
  • Surfaces and Interfaces
  • Surfaces, Coatings and Films
  • Materials Chemistry

Cite this

Choi, Ha Young ; Lee, Dong Hyong ; Lee, Jongsoo. / Optimization of a railway wheel profile to minimize flange wear and surface fatigue. In: Wear. 2013 ; Vol. 300, No. 1-2. pp. 225-233.
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Optimization of a railway wheel profile to minimize flange wear and surface fatigue. / Choi, Ha Young; Lee, Dong Hyong; Lee, Jongsoo.

In: Wear, Vol. 300, No. 1-2, 15.03.2013, p. 225-233.

Research output: Contribution to journalArticle

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