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Examination of selected geometrical parameters of wheelsets of electric multiple unit

Treść / Zawartość
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The aim of the work is to investigate changes in the values of selected geometrical parameters of electric multiple unit (EMU) wheelsets as a function of mileage. Based on the conducted analysis of the literature, it was found that the problem of proper diagnostics and maintenance of wheelsets, as an element that directly affects the level of safety of railway vehicle traffic, is very up-to-date and justified. This work presents the characteristics of the geometrical parameters of the wheelset that were subjected to the tests. According to the terminology of EN 13715:2020-12, the geometrical parameters of the wheelset subjected to tests were characterized. As part of the research work, data from measurements of the values of the main geometrical parameters of the outer contour of the wheelsets were collected and systematized from 204 measurement sheets of vehicles. Data were collected from specially developed registers and databases. The research and analyses confirm the existence of a correlation between changes in the values of diagnostic characteristics of flange thickness and height and flange steepness as a function of kilometrage. The intensity of wheel rim wear changes depending on the conditions under which the vehicle is operated. The wheelsets’ diagnostic characteristics were not fully predictable, which makes it difficult to forecast their future values. Based on the obtained results, actions that increase the durability of the wheels were proposed. For example, it is reasonable to assign vehicles to different routes so that the wheel rims wear evenly, eliminating the need for the subsequent accumulation of repairs and wheelset replacements before repair at the P4 level. Moreover, it is advisable to undertake work on the change of identification of basic individual primary characteristics of the wheel’s external contour into primary characteristics of a collective nature. As a result of such action, it is possible o indicate the probability of occurrence of non-uniformity of values of diagnostic characteristics on the wheel circumference could be limited and the phenomenon of occurrence of measurement errors could be minimized.
Czasopismo
Rocznik
Strony
161--174
Opis fizyczny
Bibliogr. 29 poz.
Twórcy
  • Cracow University of Technology, Doctoral School; Jana Pawla II Str. 37, 31-864 Cracow, Poland
  • Cracow University of Technology, Department of Rail Vehicles and Transport; Jana Pawla II Str. 37, 31-864 Cracow, Poland
Bibliografia
  • 1. Apezetxea, I.S. & Perez, X. & Alonso, A. Experimental validation of a fast wheel wear prediction model. Wear. 2021. Vol. 486. No. 204090.
  • 2. Braga, J.A. & Andrade, A.R. Multivariate statistical aggregation and dimensionality reduction techniques to improve monitoring and maintenance in railways: The wheelset component. Reliability Engineering & System Safety. 2021. Vol. 216. No. 107932.
  • 3. Brzeźny, A. & Potępa, P. & Sowa, A. Correlation between the main diagnostic features of rail vehicles’ wheel profiles in the operational period. Problemy Kolejnictwa. 2019. Vol. 183. P. 99-105.
  • 4. Cai, W. & Chi, M. & Wu, X. & et.al. Experimental and numerical analysis of the polygonal wear of high-speed trains. Wear. 2019. Vol. 440. No. 203079.
  • 5. DB Schenker Rail Polska S.A. Instrukcja Pomiarów i Oceny Technicznej Zestawów Kołowych Pojazdów Kolejowych DBu-2. 2010. [In Polish: Instructions for Measurement and Technical Assessment of Railway Vehicles’ Wheelsets DBu-2].
  • 6. Directive (EU) 2016/797 of the European Parliament and of the Council of May 11 2016 on the interoperability of the rail system within the European Union. 2016.
  • 7. Islam, D.M.Z. & Laparidou, K. & Burgess, A. Cost effective future derailment mitigation techniques for rail freight traffic management in Europe. Transportation Research Part C: Emerging Technologies. 2016. Vol. 70. P. 185-196.
  • 8. Iwnicki, S. Handbook of railway vehicle dynamics. CRC press. 2006.
  • 9. Jendel, T. Prediction of wheel profile wear–comparisons with field measurements. Wear. 2002. Vol. 253. No. 1-2. P. 89-99.
  • 10. Karwala, K. & Michnej, M. Zestawy Kołowe Pojazdów Szynowych: Wybrane Zagadnienia. Carcow: Wydawnictwo Politechniki Krakowskiej. 2015. [In Polish: Rail wheelsets: selected issues].
  • 11. Kowalski, S. & Cygnar, M. & Cieślikowski, B. Analysis of the application of ZrN coatings for the mitigation of the development of fretting wear processes at the surfaces of push fit joint elements. Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology. 2020. Vol. 234. No. 8. P. 1208-1221.
  • 12. Lingaitis, L.P. & Mikaliūnas, Š. & Vaičiūnas, G. The analysis of wear intensity of the locomotive wheel-sets. Eksploatacja i niezawodnosc. 2004. No. 3. P. 23-28.
  • 13. Martey, E.N. & Attoh-Okine, N. Analysis of train derailment severity using vine copula quantile regression modeling. Transportation research part C: emerging technologies/ 2019. Vol. 105. P. 485-503.
  • 14. Mikaliūnas, Š. & Lingaitis, L.P. & Subačius, R. Analysis of locomotive wheel sets wearing. Transport. 2002. Vol. 17. No. 1. P. 3-7.
  • 15. Piec, P. Badania Eksploatacyjne Elementów i Zespołów Pojazdów Szynowych. Cracow: Publishing House of the Cracow University of Technology. 2004. [In Polish: Exploitation Tests of Components and Assemblies of Rail Vehicles].
  • 16. PKP Intercity. Instrukcja Pomiarów i Oceny Technicznej Zestawów Kołowych Pojazdów Trakcyjnych Bt-11. 2010. [In Polish: Instructions for Measurement and Technical Assessment of Traction Vehicles’ Wheelsets Bt-11].
  • 17. PKP S.A. Dyrekcja Kolejowych Przewozów Towarowych CARGO. Szczegółowe Parametry Utrzymania Technicznego Zestawów Kołowych Pojazdów Szynowych i Wagonów (Projekt). 2001. [In Polish: Detailed Technical Maintenance Parameters of Rail Vehicles and Wagons’ Wheelsets (Draft)].
  • 18. EN 13715:2020-12. Railway applications – Wheelsets and bogies – Wheels – Tread profile.
  • 19. Potępa, P. & Sowa, A. Analiza przydatności głównych cech diagnostycznych zarysu zewnętrznego kół do prognozowania terminów oceny stanu technicznego lokomotyw elektrycznych. Logistyka. 2015. No. 3. CD 1. P. 3988-3997. [In Polish: Usefulness Analysis of the Main Diagnostic Features of the Profile of the Wheels for Forecasting the Deadlines for the Technical Condition Assessment of Electric Locomotives].
  • 20. Poveda-Reyes, S. & Rizzetto, L. & Triti, C. & et.al. Risk evaluation of failures of the running gear with effects on rail infrastructure. Engineering Failure Analysis. 2021. Vol. 128. No. 105613.
  • 21. Ringsberg, J.W. Life prediction of rolling contact fatigue crack initiation. International Journal of fatigue. 2001. Vol. 23. No. 7. P. 575-586.
  • 22. Shapovalov, V. & Lubyagov, A. & Kharlamov, A. Application of tribology theoretical bases for working out of resource-saving systems on railway transportation. Transport Problems. 2017. Vol. 12. P. 137-146.
  • 23. Sobaś, M. Parametry konstrukcyjne zestawów kołowych oraz ich wpływ na bezpieczeństwo jazdy. Pojazdy szynowe. 2015. Vol. 1. P. 22-29. [In Polish: Design parameters of wheelsets and their influence on driving safety].
  • 24. Sowa, A. Ocena stanu technicznego pojazdów szynowych na podstawie cech zdeterminowanych. Cracow: Publishing House of the Cracow University of Technology. 2013. [In Polish: Assessment of the technical condition of rail vehicles on the basis of determined features].
  • 25. UIC 510-2. Trailing stock: wheels and wheelsets. Conditions concerning the use of wheels of various diameters. 2004.
  • 26. Wrang, M. Single-axle running-gear. Stockholm: Royal institute of technology. 1995.
  • 27. Yue, W.U. & Jianuo, W. & Moukai, L.I.U. & et.al. Polygonal wear mechanism of high-speed wheels based on full-size wheel-rail roller test rig. Wear. 2022. Vol. 494-495. No. 204234.
  • 28. Zhu, A. & Ma, C. & Yang, J. & et.al. The effect of high-speed train meet on wheel wear at different speeds. Industrial Lubrication and Tribology. 2021. Vol. 73. No. 7.
  • 29. Zobory, I. Prediction of wheel/rail profile wear. Vehicle System Dynamics. 1997. Vol. 28. No. 2-3. P. 221-259.
Uwagi
PL
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-804b5107-b45c-4cf7-87b9-10df92671c45
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