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Worn Wheel/Rail Contact Simulation and Cultivated Shear Stresses

  • Noori, Ziaedin (Department of Railway Engineering, Iran University of Science and Technology) ;
  • Shahravi, Majid (Department of Railway Engineering, Iran University of Science and Technology) ;
  • Rezvani, Mohammad Ali (Department of Railway Engineering, Iran University of Science and Technology)
  • Received : 2013.03.27
  • Accepted : 2013.04.10
  • Published : 2013.04.28

Abstract

Railway system is today the most efficient way for transportation in many cases in several forms of application. Yet, wear phenomenon, profile evolution, fatigue, fracture, derailment are the major worries (financial and safety) in this system which force significant direct and indirect maintenance costs. To improve the cyclic maintenance procedures and the safety issues, it can be very satisfactory to be informed of the state of wheel/rail interaction with mileage. In present paper, an investigation of the behavior of the shear stresses by logged distance is approached, by implementing the field measurement procedure, in order to determine the real conduct of the most important cause of defects in wheel/rail contact, shear stress. The results coming from a simulation procedure indicate that the amounts of shear stresses are still in high-magnitudes when the wheel and rail are completely worn; even though in simulation based on the laboratory measurements of profile evolutions, the stresses become significantly reduced by logged distance.

References

  1. P. Shriram Patil (2011) Fuel efficiency and energy conservation- advantage railways, International Indexed Referred Research Journal, 3(27), pp. 29-31.
  2. V.A. Profillidis (2006) Railway management and engineering, Ashgate Publishing Company, Burlington.
  3. S.J. Kwon, D.H. Lee, J.W. Seo (2008) Sensitivity for internal and surface defects of railway wheel using induced current focusing potential drop. Proc. of the International Conference on Advanced Nondestructive Evaluation, Busan, pp. 1322-1327.
  4. H. Jahed, B. Farshi, M.A. Eshraghi, A. Nasr (2008) A numerical optimization technique for design of wheel profiles, Wear, 264, pp. 1-10. https://doi.org/10.1016/j.wear.2006.06.006
  5. EBI Drive 50 driver assistance system-EcoActive Technologies, Bombardier Co. EBI Drive 50 Manual.
  6. X. Lu, J. Cotter, D.T. Eadie (2005) Laboratory study of the tribological properties of friction modifier thin films for friction control at the wheel/rail interface, Wear, 259, pp. 1262-1269. https://doi.org/10.1016/j.wear.2005.01.018
  7. C. Chongyi, W. Chengguo, J. Ying (2010) Study on numerical method to predict wheel/rail profile evolution due to wear, Wear, 269, pp. 167-173. https://doi.org/10.1016/j.wear.2009.12.031
  8. A. Owhadi, M.A. Rezvani, M. Ansari (2007) Monitoring of rail vehicle steel wheels with the aim of controlling wear and planning for scheduled maintenance, Journal of Transportation, 4(3), pp. 249-257.
  9. Greenwood Engineering, MiniProf user's manual.
  10. SolidWorks 2011 and ANSYS 2011 help files.
  11. LS-DYNA explicit Pre-processing and Pre-Post processing user manuals.
  12. K.L. Johnson in: Contact Mechanics, Cambridge University Press, Cambridge, 1985.
  13. K.D. Van, M.H. Maitournam (2002) On some recent trends in modeling of contact fatigue and wear in rail, Wear, 253, pp. 219-227. https://doi.org/10.1016/S0043-1648(02)00104-7
  14. E.A. Shur, N.Y. Bychkova, S.M. Trushevsky (2005) Physical metallurgy aspects of rolling contact fatigue of rail steels, Wear, 258, pp. 1165-1171. https://doi.org/10.1016/j.wear.2004.03.027
  15. I.J. McEwen, R.F. Harvey (1983) Full scale wheel-on rail wear testing: comparisons with service wear and a developing theoretical predictive method, Proc. of Joint ASME ASLE Lubrication, Hartford, CT, pp. 1-9.