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

Ha Young Choi; Dong Hyong Lee; Jongsoo Lee

doi:10.1016/j.wear.2013.02.009

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

Ha Young Choi, Dong Hyong Lee, Jongsoo Lee

Department of Mechanical Engineering

Research output: Contribution to journal › Article › peer-review

45 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 language	English
Pages (from-to)	225-233
Number of pages	9
Journal	Wear
Volume	300
Issue number	1-2
DOIs	https://doi.org/10.1016/j.wear.2013.02.009
Publication status	Published - 2013 Mar 15

Bibliographical note

Funding Information:
This research was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology ( 2011-0024829 ).

All Science Journal Classification (ASJC) codes

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

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10.1016/j.wear.2013.02.009

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N2 - 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.

AB - 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.

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

Abstract

Bibliographical note

All Science Journal Classification (ASJC) codes

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