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Rotary-scaling fine-tuning (RSFT) method for optimizing railway wheel profiles and its application to a locomotive

Yunguang Ye Yayun Qi Dachuan Shi Yu Sun Yichang Zhou Markus Hecht

现代交通学报（英文版）2020，Vol.28Issue(2)：160-183,24.

Rotary-scaling fine-tuning (RSFT) method for optimizing railway wheel profiles and its application to a locomotive

Yunguang Ye ¹Yayun Qi ²Dachuan Shi ¹Yu Sun ²Yichang Zhou ³Markus Hecht¹

作者信息

1. Institute of Land and Sea Transport Systems, TechnicalUniversity of Berlin, 10587 Berlin, Germany
2. State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu 610331, China
3. College of Transportation Science and Engineering, Nanjing Tech University, Nanjing 210009, China
折叠

摘要

关键词

Wheel profile optimization/Wear reduction/Rotary-scaling fine-tuning/Particle swarm optimization/Kriging surrogate model

Key words

Wheel profile optimization/Wear reduction/Rotary-scaling fine-tuning/Particle swarm optimization/Kriging surrogate model

引用本文复制引用

Yunguang Ye,Yayun Qi,Dachuan Shi,Yu Sun,Yichang Zhou,Markus Hecht..Rotary-scaling fine-tuning (RSFT) method for optimizing railway wheel profiles and its application to a locomotive[J].现代交通学报（英文版）,2020,28(2):160-183,24.

基金项目

Acknowledgements This work is supported by the Assets4Rail Project which is funded by the Shift2Rail Joint Undertaking under the EU's H2020 program (Grant No. 826250) and the Open Research Fund of State Key Laboratory of Traction Power of Southwest Jiao-tong University (Grant No. TPL2011), and part of the experiment data concerning the railway line is supported by the DynoTRAIN Project, funded by European Commission (Grant No. 234079). The first author is also supported by the China Scholarship Council (Grant No. 201707000113). （Grant No. 826250）

现代交通学报（英文版）

ISSN：2662-4745

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