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WU Bing, WEN Ze-feng, WANG Heng-yu, JIN Xue-song. Numerical analysis method of wheel/rail adhesion under water lubrication for high-speed railway[J]. Journal of Traffic and Transportation Engineering, 2012, 12(6): 41-47. doi: 10.19818/j.cnki.1671-1637.2012.06.007
Citation: WU Bing, WEN Ze-feng, WANG Heng-yu, JIN Xue-song. Numerical analysis method of wheel/rail adhesion under water lubrication for high-speed railway[J]. Journal of Traffic and Transportation Engineering, 2012, 12(6): 41-47. doi: 10.19818/j.cnki.1671-1637.2012.06.007
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Numerical analysis method of wheel/rail adhesion under water lubrication for high-speed railway

doi: 10.19818/j.cnki.1671-1637.2012.06.007

  • State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu 610031, Sichuan, China

More Information
  • Author Bio:

    WU Bing(1987-), male, doctoral student, +86-28-86466051, jiaoda-wubing@163.com

    JIN Xue-son g(1956-), male, professor, PhD, +86-28-87634355, xsjin@home.swjtu.edu.cn

  • Received Date: 2012-07-21
  • Publish Date: 2012-12-25
    Abstract
  • Multigrid method was introduced into the calculation of wheel/rail adhesion under wet condition at high speed, and the influence of train speed and contact pressure on water film thickness was investigated under wet condition without thinking about surface roughness. Numerical analysis result shows that surface roughness and water film thickness have same order, and surface roughness is not ignored. Partial lubrication theory was applied to study the contact characteristics of wheel and rail under water lubrication based on the numerical analysis result, and the relationship between train speed and adhesion coefficient was investigated. Computation result indicates that with the increase of train speed, adhesion coefficient decreases rapidly, and its values are below 0.1. The comparison of experimental result obtained by JD-1 testing machine at the simulation speeds of 60, 90 and 120 km·h-1 and numerical analysis result shows that the maximum relative error of adhesion coefficient is less than 8%, so the numerical analysis method is accurate to estimate adhesion coefficient.

     

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