Fatigue life analysis based on six sigma robust optimization for pantograph collector head support
In this article, a new fatigue life analysis method based on six sigma robust optimization is proposed, which considers the random effects of material properties, external loads, and dimensions on the fatigue life of a pantograph collector head support. Some main random factors are identified throug...
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doaj-b96b35bb83e14a17a5ae4b1a307b366d2020-11-25T03:43:56ZengSAGE PublishingAdvances in Mechanical Engineering1687-81402016-11-01810.1177/1687814016679314Fatigue life analysis based on six sigma robust optimization for pantograph collector head supportYonghua Li0Mingguang Hu1Feng Wang2School of Traffic and Transportation Engineering, Dalian Jiaotong University, Dalian, ChinaSchool of Traffic and Transportation Engineering, Dalian Jiaotong University, Dalian, ChinaCollege of Bullet Train Application and Maintenance Engineering, Dalian Jiaotong University, Dalian, ChinaIn this article, a new fatigue life analysis method based on six sigma robust optimization is proposed, which considers the random effects of material properties, external loads, and dimensions on the fatigue life of a pantograph collector head support. Some main random factors are identified through fatigue reliability sensitivity analysis, which are used as input variables during fatigue life analysis. The six sigma optimization model is derived using the second-order response surface method. The response surface is fitted by the Monte Carlo method, the samples are obtained by the Latin hypercube sampling technique, and the proposed model is optimized using the interior point algorithm. Through the optimization, the collector head support weight is reduced, the mean and the standard deviation of fatigue life have been decreased, and the effect of design parameter variation on the fatigue life is reduced greatly. The robustness of fatigue life prediction of collector head support is improved. The proposed method may be extended to fatigue life analysis of other components of electric multiple units.https://doi.org/10.1177/1687814016679314 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yonghua Li Mingguang Hu Feng Wang |
spellingShingle |
Yonghua Li Mingguang Hu Feng Wang Fatigue life analysis based on six sigma robust optimization for pantograph collector head support Advances in Mechanical Engineering |
author_facet |
Yonghua Li Mingguang Hu Feng Wang |
author_sort |
Yonghua Li |
title |
Fatigue life analysis based on six sigma robust optimization for pantograph collector head support |
title_short |
Fatigue life analysis based on six sigma robust optimization for pantograph collector head support |
title_full |
Fatigue life analysis based on six sigma robust optimization for pantograph collector head support |
title_fullStr |
Fatigue life analysis based on six sigma robust optimization for pantograph collector head support |
title_full_unstemmed |
Fatigue life analysis based on six sigma robust optimization for pantograph collector head support |
title_sort |
fatigue life analysis based on six sigma robust optimization for pantograph collector head support |
publisher |
SAGE Publishing |
series |
Advances in Mechanical Engineering |
issn |
1687-8140 |
publishDate |
2016-11-01 |
description |
In this article, a new fatigue life analysis method based on six sigma robust optimization is proposed, which considers the random effects of material properties, external loads, and dimensions on the fatigue life of a pantograph collector head support. Some main random factors are identified through fatigue reliability sensitivity analysis, which are used as input variables during fatigue life analysis. The six sigma optimization model is derived using the second-order response surface method. The response surface is fitted by the Monte Carlo method, the samples are obtained by the Latin hypercube sampling technique, and the proposed model is optimized using the interior point algorithm. Through the optimization, the collector head support weight is reduced, the mean and the standard deviation of fatigue life have been decreased, and the effect of design parameter variation on the fatigue life is reduced greatly. The robustness of fatigue life prediction of collector head support is improved. The proposed method may be extended to fatigue life analysis of other components of electric multiple units. |
url |
https://doi.org/10.1177/1687814016679314 |
work_keys_str_mv |
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