Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Bücher
Zeitschriften
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
MTZ-Fachkongress

Antriebe und Energiesysteme von morgen


Austausch von Automobil- und Energiewirtschaft

Am 14./15. Mai geht es in Chemnitz um die Mobilitätswende durch Elektro- und Wasserstofffahrzeuge.
Erweiterte Suche
Anmelden
nach oben
Tribology Letters
Erschienen in: Tribology Letters 2/2022

01.06.2022 | Original Paper

Wheel Tread Wear Prediction of High-Speed Railway Train

verfasst von: Xueping Wang, Jun Zhang, Jianyong Zuo

Erschienen in: Tribology Letters | Ausgabe 2/2022

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

It is significant to study railway wheel tread wear laws and predict wheel tread wear for the safe operation of trains. In this paper, a wheelset-rail finite element model was established for contact analysis, and simulation results were verified by contact tests carried out on a self-built wheel-rail test rig. Based on the physical work, the FE friction work calculation method was proposed to obtain the node friction work of contact area, and the wheel tread friction work was obtained by superposition of node friction work along the train running direction. Based on FE results of the wheel tread friction work, a wheel tread wear calculation method was proposed to predict wear amounts and worn profiles under different operating mileage conditions. It was found that the difference between predicted wear amounts and measured data is less than 5%, and the predicted worn profiles have the same change trend as the measured profiles. The wheel tread wear calculation method based on the FE friction work has high computational efficiency and reliability, and it has good research significance and practical value.
Vorheriger Artikel Addition of Solid Oxide Particles for Friction Reduction
Nächster Artikel Synthesis of MXene-Based Self-dispersing Additives for Enhanced Tribological Properties

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren
Literatur
1.
Gan, F., Dai, H., Gao, H., et al.: Wheel–rail wear progression of high-speed train with type S1002CN wheel treads. Wear 328–329, 569–581 (2015)CrossRef
2.
Polach, O., Nicklisch, D.: Wheel/rail contact geometry parameters in regard to vehicle behaviour and their alteration with wear. Wear 366–367, 200–208 (2016)CrossRef
3.
Jin, X.S., Zhao, G.T., Liang, S.L.: Characteristics, mechanisms, influences and counter measures of high-speed wheel/rail wear: transverse wear of wheel tread. J. Mech. Eng. 54, 3–13 (2018)CrossRef
4.
Auciello, J.: Development of a model for the analysis of wheel wear in railway vehicles. Meccanica 48, 681–697 (2013)CrossRef
5.
Kalker, J.J.: Simulation of the development of a railway wheel profile trough wear. Wear 150, 355–365 (1991)CrossRef
6.
Archard, J.F.: Contact and rubbing of flat surface. J. Appl. Phys. 24, 918–988 (1953)CrossRef
7.
Pearce, T.G., Sherratt, N.D.: Prediction of wheel profile wear. Wear 144, 343–351 (1991)CrossRef
8.
Zobory, I.: Prediction of wheel/rail profile wear. Vehicle. Syst. Dyna. 28, 221–259 (1997)CrossRef
9.
Jende, L.T.: Prediction of wheel profile wear-comparisons with field measurements. Wear 253, 89–99 (2002)CrossRef
10.
Braghin, F., Lewis, R., Dwyer, R.S.: A Mathematical model to predict railway wheel profile evolution due to wear. Wear 261, 1253–1264 (2006)CrossRef
11.
Mcewen, I.J., Harvey, R.F.: Full-scale wheel-on-rail wear testing: comparisons with service wear and a developing theoretical predictive method. Lubr. Eng. 41, 80–88 (1985)
12.
Casanueva, C., Enblom, R., Stichel, S., et al.: On integrated wheel and track damage prediction using vehicle–track dynamic simulations. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit 231, 775–785 (2017)
13.
Carlberger, A., Torstensson, P., T., Nielsen, J., C., O., et al.: An iterative methodology for the prediction of dynamic vehicle–track interaction and long-term periodic rail wear. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit 232, 1718–1730 (2018)
14.
Muhamedsalih, Y., Stow, J., Bevan, A.: Use of railway wheel wear and damage prediction tools to improve maintenance efficiency through the use of economic type turning. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit 233, 103–117 (2019)
15.
Xie, Q., Tao, G., Wang, P., et al.: Wheel wear evolution characteristics of alpine high-speed emu and analysis of it’s influence. Eng. Mech. 36, 229–237 (2019)
16.
Shebani, A., Iwnicki, et al.: Prediction of wheel and rail wear under different contact conditions using artificial neural networks. Wear 406–407, 173–184 (2018)CrossRef
17.
Tao, G., Du, X., Zhang, H., et al.: Development and validation of a model for predicting wheel wear in high-speed trains. J. ZJU-Sci. A (Appl. Phys. Eng.) 18, 603–616 (2017)
18.
Tao, G., Wen, Z., Zhao, X., et al.: Effects of wheel–rail contact modelling on wheel wear simulation. Wear 366, 146–156 (2016)CrossRef
19.
Xu, K., Feng, Z., Wu, H., et al.: Investigating the influence of rail grinding on stability, vibration, and ride comfort of high-speed EMUs using multi-body dynamics modelling. Vehicle Syst. Dyn. 57, 1621–1642 (2019)CrossRef
20.
Xu, K., Feng, Z., Wu, H., et al. (2019) Optimal profile design for rail grinding based on wheel-rail contact, stability and wear development of high-speed EMUs. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit
21.
Ignesti, M., Innocenti, A., Marini, L., et al.: Development of a model for the simultaneous analysis of wheel and rail wear in railway systems. Multibody Syst. Dyn. 31, 191–240 (2014)CrossRef
22.
Ding, J., Yang, J., Hu, J., et al.: Evolution of the polygonal wear of high-speed train wheels. J. Mech. Eng. 56, 184–189 (2020)CrossRef
23.
Li, X., Jin, X., Wen, Z., et al.: A new integrated model to predict wheel profile evolution due to wear. Wear 271, 227–237 (2011)CrossRef
24.
Xu, J, Wang, P, Wang, J, et al.: Numerical analysis of the effect of track parameters on the wear of turnout rails in high-speed railways. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit 232, 709–721 (2018)
25.
26.
Luo, R., Zeng, J., Dai, H., et al.: Simulation on wheel wear prediction of high-speed train. Tribology 29, 551–558 (2009)
27.
Zhou, Y., Han, Y.B., Mu, D., et al.: Effects of friction coefficient on rolling contact fatigue crack initiation and wear growth. J. TJU (Nat. Sci.) 46, 1392–1402 (2018)
28.
Matsumoto, A., Sato, Y., Ono, H., et al.: Creep force characteristics between rail and wheel on scaled model. Wear 253, 199–203 (2002)CrossRef
29.
Asadi, A., Brown, M.: Rail vehicle wheel wear prediction: a comparison between analytical and experimental approaches. Vehicle Syst. Dyn. 46(6), 541–549 (2008)CrossRef
30.
Wang, D., Ni, W., Wang, X., et al.: Research on new test-rig of wheel-track contact. Railw. Locomot. Car 32, 53–57 (2012)
31.
Yan, J., Wang, K., Fu, M.: A comparison of rail vehicle wheel-rail and wheel-roller contact relations. J. China Railw. Soc. 16, 17–23 (1994)
32.
Zhou, L.: Pixel-counting measurement of cast iron surface plate's contiguous area. J. Basic Sci. Eng. 04, 401–406 (2004)
33.
An, B., Ma, D., Wang, P., et al.: Assessing the fast non-hertzian methods based on the simulation of wheel-rail rolling contact and wear distribution. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit 234, 524-537 (2020)
Metadaten
Titel
Wheel Tread Wear Prediction of High-Speed Railway Train
verfasst von
Xueping Wang
Jun Zhang
Jianyong Zuo
Publikationsdatum
01.06.2022
Verlag
Springer US
Erschienen in
Tribology Letters / Ausgabe 2/2022
Print ISSN: 1023-8883
Elektronische ISSN: 1573-2711
DOI
https://doi.org/10.1007/s11249-022-01603-5

Weitere Artikel der Ausgabe 2/2022

Tribology Letters 2/2022 Zur Ausgabe

Correction

Correction to: On the Gravity-Driven Sliding Motion of a Planar Board on a Tilted Soft Porous Layer

Original Paper

Influences of Boundary Slip Coating on Elastohydrodynamically Lubricated Contacts

Original Paper

Fluid Leakage in Static Rubber Seals

Original Paper

Numerical Simulation of Solid Particle Erosion of Alumina by Overlapping Irregular-Shaped Particle Impacts

Original Paper

Prandtl–Tomlinson-Type Models for Coupled Molecular Sliding Friction: Chain-Length Dependence of Friction of Self-assembled Monolayers

Tribology Methods

Dead Weight Microtribometer Calibration for Improved Tolerance to Transducer Crosstalk and Cantilever Torsion

Premium Partner

    Marktübersichten

    Die im Laufe eines Jahres in der „adhäsion“ veröffentlichten Marktübersichten helfen Anwendern verschiedenster Branchen, sich einen gezielten Überblick über Lieferantenangebote zu verschaffen. 

    Zur Marktübersicht
    Bildnachweise