Advertisement

Journal of Mechanical Science and Technology

, Volume 32, Issue 12, pp 5749–5754 | Cite as

The application of aerodynamic brake for high-speed trains

  • MinKyo Lee
  • Binayak Bhandari
Article
  • 17 Downloads

Abstract

The braking distance for high-speed trains (HST) operating over 200 km/h takes roughly over 6000 m and 1 minute 40 seconds. In an emergency situation, both braking distance and stopping time are too high. Reducing the time and the distance for braking for such trains will be beneficial for passengers’ safety and railway system management. A number of studies have been conducted to develop a better braking system based on mechanical or electromechanical technologies to overcome this issue. In this study, computational fluid dynamics (CFD) analysis are conducted by designing prototypes of aerodynamic brakes inspired by commercial aircrafts’ flaps. Limited studies have been performed in implementing an aerodynamic brake in the high-speed trains. The primary emphasis of this study is to examine the argumentation on an aerodynamic performance by mounting the aerodynamic brake on HSTs to find out its effectiveness in terms of energy saving. A full-scale model of HST was analyzed in this study by varying velocities (200 km/h to 400 km/h), and the operating angles (35° to 55°). The results show that aerodynamic brakes can reduce the braking distance by 2.53 % and 1.56 % for when using the commercial and emergent braking, respectively.

Keywords

High-speed trains Aerodynamic brake CFD Drag coefficient 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. [1]
    S. J. Byun, S. Cry and S. W. Kim, Numerical simulation of aerodynamic drag for high–speed train using LBM, Journal of the Korean Society for Railway, 5 (2014) 1660–1665.Google Scholar
  2. [2]
    H. B. Kwon, S. W. Nam and C. W. Cha, A numerical analysis on the pressure field around KTX train using the standard framework of CFD analysis for railway system, Journal of the Korean Society for Railway, 5 (2006) 1–6.Google Scholar
  3. [3]
    Y. Zhang, J. Zhang, T. Li, L. Zhang and W. Zang, Research on aerodynamic noise reduction for high–speed trains, Shock and Vibration, 2016 (2016) 1–21.Google Scholar
  4. [4]
    C. Paz, E. Suárez, C. Gil and M. Concheiro, Numerical study of the impact of windblown sand particles on a high speed train, Journal of Wind Engineering & Industrial Aerodynamics, 145 (2015) 89–93.CrossRefGoogle Scholar
  5. [5]
    G. Xu, X. Liang, S, Yao, D. Chen and Z. Li, Multi–objective aerodynamic optimization of the streamlined shape of highspeed trains based on the Kriging model, PLoS ONE, 12 (1) (2017) e0170803, https://doi.org/10.1371/journal.pone.0170803.Google Scholar
  6. [6]
    M. H. Kwak, S. W. Yun and C. S. Park, Nose shape optimization of high–speed train for the consideration of crosswind stability, Journal of the Korean Society for Railway, 10 (2015) 1341–1345.Google Scholar
  7. [7]
    X. Yang, J. Jin and G. Shi, Preliminary study on streamlined design of longitudinal profile of high–speed train head shape, 13th COTA International Conference of Transportation Professionals, 13 (2013) 1469–1476.Google Scholar
  8. [8]
    S. H. Yun, M. H. Park, S. W. Nam and C. S. Park, Research for aerodynamic drag reduction method of KTX San–chon, Journal of the Korean Society for Railway, 5 (2015) 166–171.Google Scholar
  9. [9]
    S. Wang, J. R. Bell, D. Burton, A. H. Herbst, J. Sheridan and M. C. Thompson, The performance of different turbulence models (URANS,SAS and DES) for predicting high–speed train slipstream, Journal of Wind Engineering & Industrial Aerodynamics, 165 (2017) 46–57.CrossRefGoogle Scholar
  10. [10]
    S. W. Kim, A near–wall turbulence model and its application to fully developed turbulence cannel and pipe flows, NASA Technical Memorandum 101399, USA (1988).Google Scholar
  11. [11]
    Z. T. Ai and C. M. Mak, Potential use of reduced–scale models in CFD simulations to save numerical resources: Theoretical analysis and case study of flow around an isolated building, Journal of Wind Engineering & Industrial Aerodynamics, 134 (2014) 25–29.CrossRefGoogle Scholar
  12. [12]
    Korea Railroad Corporation, Train time, Retrieved from http://www.letskorail.com/ebizcom/cs/guide/guide/guide11.do (2018).Google Scholar

Copyright information

© The Korean Society of Mechanical Engineers and Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Railroad Integrated System EngineeringWoosong UniversityDaejeonKorea

Personalised recommendations