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Digital twin of slewing roller bearings operating in wind turbine structures

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Języki publikacji
EN
Abstrakty
EN
A digital twin is a digital replica, a mathematical model of a given object, product, process, system, or service. A digital twin enables the attainment of a significant amount of data and it can be used to gain comprehensive knowledge about a given object, its behaviors, and reactions. The constant ability to monitor the product and its reactions contribute to its improvement and the exclusion of errors, as well as its optimization, which in turn allows for a more perfect product. This article presents a model of a digital twin for the analysis of the operation of a slewing bearing in the structure of a wind turbine. The quality of the bearing is directly related to the quality of the materials from which they were made, the process of thermo-chemical treatment, and the accuracy of all its elements, as well as its proper assembly. The bearings are characterized by very narrow tolerances. Errors in the shape of cylindricity cause distortion of the bearing raceway, stress accumulation, and jamming of rolling parts. This leads to rapid bearing wear as a result. The condition for the approval of bearings for sale is the successful passing of all tests, both geometric and strength. This is to develop quality standards that bearing suppliers must meet. The article presents an analysis of the load distribution that prevail in rotor blade bearings at the limit loads of a wind turbine. The basic types of the most commonly used coronary bearings for wind turbine applications were considered. A methodology for constructing computational models of slewing bearings, using the finite element method, was developed. An original way of simulating rolling parts with rod elements – for rollers and superelements – for the support balls was proposed. A numerical FEM model of a slewing bearing with a wind turbine rotor hub is presented. The calculations accounted for the susceptibility of the bearing rings and hub, as well as the stiffness of the mounting screws. Areas of bearing raceways, where rolling parts achieve the greatest loads, have been identified. Demonstrated by diagrams are the deformations of the rotor hub seats and bearing rings.
Słowa kluczowe
Rocznik
Strony
64--71
Opis fizyczny
Bibliogr. 27 poz., rys., tab.
Twórcy
autor
  • Czestochowa University of Technology, Faculty of Management Department of Production Engineering and Safety 19b Armii Krajowej Ave., 42-218 Czestochowa, Poland
Bibliografia
  • 1. Aguirrebeitia, J., Abasolo, M., Avilés, R. & Fernández de Bustos, I. (2012) General static load-carrying capacity for the design and selection of four contact point slewing bearings: Finite element calculations and theoretical model validation. Finite Elements in Analysis and Design 55, pp. 23–30, doi: 10.1016/j.finel.2012.02.002.
  • 2. Chou, J.-S., Chiu, C.-K., Huang, I.-K. & Chi, K.-N. (2013) Failure analysis of wind turbine blade under critical wind loads. Engineering Failure Analysis 27, pp. 99–118, doi: 10.1016/j.engfailanal.2012.08.002.
  • 3. Czapla, T., Jureczko, M. & Pawlak, M. (2009) Wyznaczanie współczynnika bezpieczeństwa wybranych części elektrowni wiatrowej. Acta Mechanica et Automatica 3(3), pp. 16–22.
  • 4. Czapla, T., Jureczko, M. & Pawlak, M. (2010) The application of modern computer aided engineering systems in design and strength simulations of the chosen components of the wind turbine. Górnictwo Odkrywkowe 51(4), pp. 245–251.
  • 5. DNV (2009) Guidelines for Design of Wind Turbines. 2nd edition. Copenhagen: DNV.
  • 6. Eschmann, P., Hasbergen, L. & Weigand, K. (1978) Die Wälzlagerpraxis. München: Oldenburg Verlag.
  • 7. Gibczyńska, T. & Pytko, S. (1999) Łożyska toczne wieńcowe. Kraków: Uczelniane Wydawnictwa Naukowo-Dydaktyczne AGH.
  • 8. Idzikowski, A. & Cierlicki, T. (2021) Economy and energy analysis in the operation of renewable energy installations – a case study. Production Engineering Archives 27(2), pp. 90–99, doi: 10.30657/pea.2021.27.11.
  • 9. Janekova, J., Fabianova, J. & Rosova, A. (2016) Environmental and economic aspects in decision making of the investment project “wind park”. Polish Journal of Management Studies 13(1), pp. 90–100, doi: 10.17512/ pjms.2016.13.1.09.
  • 10. Jin, X., Chen, Y., Wang, L., Han, H. & Chen, P. (2021) Failure prediction, monitoring and diagnosis methods for slewing bearings of large-scale wind turbine: A review. Measurement 172, 108855, doi: 10.1016/j.measurement.2020. 108855.
  • 11. Kania, L. (2005) Analiza obciążenia wewnętrznego w łożyskach tocznych wieńcowych w aspekcie ich nośności statycznej. Częstochowa: Wydawnictwa Politechniki Częstochowskiej.
  • 12. Kania, L., Krynke, M. & Mazanek, E. (2012) A catalogue capacity of slewing bearings. Mechanism and Machine Theory 58, pp. 29–45, doi: 10.1016/j.mechmachtheory.2012. 07.012.
  • 13. Kania, L., Pytlarz, R. & Śpiewak, S. (2018) Modification of the raceway profile of a single-row ball slewing bearing. Mechanism and Machine Theory 128, pp. 1–15, doi: 10.1016/j.mechmachtheory.2018.05.009.
  • 14. Krynke, M. & Mielczarek, K. (2016) Analysis of causes and effects errors in calculation of rolling slewing bearings capacity. Production Engineering Archives 12, pp. 38–41, doi: 10.30657/pea.2016.12.09.
  • 15. Krynke, M. & Ulewicz, R. (2019) Analysis of the influence of slewing bearing mounting on their static load capacity. Transportation Research Procedia 40, pp. 745–750, doi: 10.1016/j.trpro.2019.07.105.
  • 16. Krynke, M. (2016) Numerical analysis of bolts loading in slewing bearing. Czasopismo Techniczne. Mechanika R.113 (z. 4-M (14)), doi: 10.4467/2353737XCT.16.237.5986.
  • 17. Mattu, K.L., Bloomfield, H.C., Thomas, S., Martínez-Alvarado, O. & Rodríguez-Hernández, O. (2022) The impact of tropical cyclones on potential offshore wind farms. Energy for Sustainable Development 68, pp. 29–39, doi: 10.1016/j.esd.2022.02.005.
  • 18. Mazanek, E. (2005) Zagadnienia konstrukcyjne i wytrzymałościowe w wielkogabarytowych łożyskach tocznych wieńcowych. Częstochowa: Wydawnictwa Politechniki Częstochowskiej.
  • 19. Nedeliaková, E., Hranický, M.P. & Valla, M. (2022) Risk identification methodology regarding the safety and quality of railway services. Production Engineering Archives 28(1), pp. 21–29, doi: 10.30657/pea.2022.28.03.
  • 20. Rothe Erde (2018) Slewing Bearings – Customer-specific solutions for individual requirements.
  • 21. Smolnicki, T. (2002) Fizykalne aspekty koherencji wielkogabarytowych łożysk tocznych i odkształcalnych konstrukcji wsporczych. Wrocław: Oficyna Wydawnicza Politechniki Wrocławskiej.
  • 22. Smolnicki, T. (2013) Wielkogabarytowe toczne węzły obrotowe, zagadnienia globalne i lokalne. Wrocław: Oficyna Wydawnicza Politechniki Wrocławskiej.
  • 23. Staid, A. & Guikema, S.D. (2015) Risk analysis for U.S. offshore wind farms: the need for an integrated approach. Risk Analysis: An Official Publication of the Society for Risk Analysis 35(4), pp. 587–593, doi: 10.1111/risa.12324.
  • 24. Szelangiewicz, T. & Żelazny, K. (2015) Sea wind farms. Sea Wind Farms (41), pp. 35–40, doi: 10.17402/005.
  • 25. Troen, I. & Lundtang Petersen, E. (1989) European Wind Atlas. Denmark.
  • 26. Vicen, M., Bokůvka, O., Nikolić, R. & Bronček, J. (2020) Tribological behavior of low-alloyed steel after nitriding. Production Engineering Archives 26(3), pp. 78–83, doi: 10.30657/pea.2020.26.16.
  • 27. Zhang, X., Liu, J., Han, Y. & Du, X.-L. (2018) A framework for evaluating the bearing capacity of offshore wind power foundation under complex loadings. Applied Ocean Research 80, pp. 66–78, doi: 10.1016/j.apor.2018.08.019.
Uwagi
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-07b2ce1d-37a1-4a03-8419-9a51d44d2724
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