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Integrated shape-morphing and metamodel-based optimization of railway wheel web considering thermo-mechanical loads

  • Soyoung Lee
  • Dong Hyung Lee
  • Jongsoo LeeEmail author
Industrial Application
  • 36 Downloads

Abstract

While the wheel and the rail are in contact, the stress on the wheel affects the safety of the vehicle and causes ride discomfort and noise. Therefore, the design of the wheel to reduce the damage is needed. To solve these problems, the shape optimization on the railway wheel web was carried out using the finite-element analysis and shape-morphing technique. First, thermo-mechanical analysis, with consideration to mechanical and thermal loads under tread braking, was developed and the contact pressure and stress generated on the wheel were obtained. Then, the integrated shape-morphing design process was proposed to improve the efficiency of the shape optimization. It made it possible to parameterize the finite-element models and modify them directly without returning to the computer-aided design model. Based on the analysis results, we performed the metamodel and genetic algorithm based optimization by using response surface method, Kriging and Gaussian process, then compared their optimal solutions. Optimization proceeded in two stages, two-dimensional optimization under axisymmetric conditions and three-dimensional optimization in which the shape changed in the period of 60°. For the post-optimization work, fatigue evaluation for the verifications on initial and optimal wheel models was performed and the results were discussed.

Keywords

Railway wheel web Thermo-mechanical analysis Morphing Integrated shape-morphing Metamodel-based optimization 

Notes

Acknowledgements

This research was supported by the Korea Railway Research Institute (2016-11-0776, 2016-11-1750). This research was also supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF), funded by the Ministry of Science, ICT and Future Planning (2017R1A2B4009606).

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.School of Mechanical EngineeringYonsei UniversitySeoulSouth Korea
  2. 2.Fatigue and Fracture Research TeamKorea Railroad Research InstituteUiwang-siSouth Korea

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