PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Degradation modeling method for rotary lip seal based on failure mechanism analysis and stochastic process

Treść / Zawartość
Identyfikatory
Warianty tytułu
PL
Metoda modelowania degradacji obrotowego uszczelnienia wargowego w oparciu o analizę mechanizmu uszkodzenia i proces stochastyczny
Języki publikacji
EN
Abstrakty
EN
Rotary lip seal is widely used in aircraft and its performance affects the safety of the aircraft. Hence, it is necessary to estimate useful lifetime and reliability of the seal. Degradation of rotary lip seal is always with random effects, which cannot be considered by theoretical failure mechanism analysis. Hence, in order to consider the random effects of rotary lip seal degradation, stochastic processes are applied. Furthermore, considering the monotonic degradation of the seal, Gamma process and inverse Gaussian process are selected as the candidate processes. To combine the candidate processes, Bayesian model averaging is introduced. Based on the failure mechanism analysis and numerical simulation, the theoretical wear path is predicted and corresponding linearization method is proposed. The measured degradation data is converted and the seal wear process is transformed to a linear degradation process. The model parameters and model probabilities are evaluated by fully Bayesian inference method. The effectiveness of the proposed method is verified by comparing the predicting degradation and experimental observations. The proposed method can be used to evaluate reliability and useful lifetime of rotary lip seal. According to sensitivity analysis, an effective way to improve lifetime and reliability of the seal is to increase the wear depth threshold.
PL
Obrotowe uszczelnienia wargowe znajdują szerokie zastosowanie w samolotach, a ich sprawność wpływa na bezpieczeństwo statków powietrznych. Oznacza to, iż szacowanie żywotności i niezawodności tego rodzaju uszczelnień ma kluczowe znaczenie. Degradacja obrotowego uszczelnienia wargowego jest zawsze związana z efektami losowymi, których nie uwzględnia teoretyczna analiza mechanizmu uszkodzenia. Dlatego też do oceny efektów losowych degradacji obrotowego uszczelnienia wargowego wykorzystuje się procesy stochastyczne, takie jak proces Gamma czy odwrotny proces Gaussa. W przedstawionej pracy, wybrane procesy degradacji łączono za pomocą metody bayesowskiego uśredniania modeli. Na podstawie analizy mechanizmów uszkodzeń i symulacji numerycznej, konwertowano uzyskane w pomiarach dane degradacyjne, co pozwoliło na przekształcenie procesu degradacji obrotowego uszczelnienia wargowego w proces liniowy. Parametry modelu i prawdopodobieństwa oceniano za pomocą metody pełnego wnioskowania bayesowskiego na podstawie obserwacji degradacji. Skuteczność przedstawionej metody weryfikowano porównując przewidywane i obserwowane wartości degradacji. Proponowaną metodę można wykorzystywać do oceny niezawodności i żywotności obrotowego uszczelnienia wargowego. Przeprowadzona analiza czułości pokazuje, że skutecznym sposobem na poprawę żywotności i niezawodności omawianego typu uszczelnienia jest zwiększenie progu uszkodzenia w postaci maksymalnej głębokości zużycia.
Rocznik
Strony
381--390
Opis fizyczny
Bibliogr. 38 poz., rys., tab.
Twórcy
autor
  • School of Automation Science and Electrical Engineering Beihang University Xueyuan Road, Haidian District, Beijing, P.R. China
  • School of Automation Science and Electrical Engineering Beihang University Xueyuan Road, Haidian District, Beijing, P.R. China
  • Department of Engineering Technology Old Dominion University Norfolk, Virginia, 23529, USA
Bibliografia
  • 1. Adrian ER, David M, Jennifer A. Bayesian Model Averaging for Linear Regression Models. Journal of the American Statistical Association 1997; 92: 179-91, https://doi.org/10.1080/01621459.1997.10473615.
  • 2. Cao W, Jia X, Liu Y, Hu QW, Zhao JM. Selective maintenance optimisation considering random common cause failures and imperfect maintenance. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability 2019; 233(3): 427-443, https://doi.org/10.1177/1748006X18799907.
  • 3. Chen Q, Wang S, Liu D, Zhang C. Numerical analysis of wear degradation model of rotary lip seal with multifield coupling. Proceedings of IEEE 8th International Conference on Fluid Power and Mechatronics; 2019 Apr. 10-13; Wuhan, China. New York: IEEE; 2019; p. 1-6.
  • 4. Frölich D, Magyar B, Sauer B. A comprehensive model of wear, friction and contact temperature in radial shaft seals. Wear 2014; 311(1-2):71-80, https://doi.org/10.1016/j.wear.2013.12.030.
  • 5. Gadari ME, Fatu A, Hajjam M. Shaft roughness effect on elasto-hydrodynamic lubrication of rotary lip seals: experimentation and numerical simulation. Tribology International 2015; 88(2015):218-27, https://doi.org/10.1016/j.triboint.2015.03.013.
  • 6. Guo F, Jia X, Lv M, Wang L, Salant RF. The effect of aging in oil on the performance of a radial lip seal. Tribology International 2014; 78:187-94, https://doi.org/10.1016/j.triboint.2014.05.017.
  • 7. Guo F, Jia X, Longke W. The effect of wear on the performance of a rotary lip seal. Journal of Tribology 2014; 136(4): 041703, https://doi.org/10.1016/j.triboint.2014.05.017.
  • 8. Guo F, Jia X, Huang L, Salant RF. The effect of aging during storage on the performance of a radial lip seal. Polymer Degradation and Stability 2013; 98(11): 2193-200, https://doi.org/10.1016/j.triboint.2014.05.017.
  • 9. Li G, Zhang Q, Huang E, Lei Z, Wu H, Xu G. Leakage performance of floating ring seal in cold/hot state for aero-engine. Chinese Journal of Aeronautics 2019, In press, https://doi.org/10.1016/j.cja.2019.03.004.
  • 10. Liu D, Wang S, Zhang C, Tomovic M. Bayesian model averaging based storage lifetime assessment method for rubber sealing rings. Advances in Mechanical Engineering 2019; 11(5): 1687814019853351, https://doi.rg/10.1177/1687814019853351.
  • 11. Liu D, Wang S, Zhang C. A multiscale wear simulation method for rotary lip seal under mixed lubricating conditions. Tribology International 2018; 121: 190-203, https://doi.org/10.1016/j.triboint.2018.01.007.
  • 12. Liu D, Wang S, Tomovic M, Zhang C. Numerical study of the effects of textured shaft on the wear of rotary lip seals. Tribology International 2019; 138: 215-38, https://doi.org/10.1016/j.triboint.2019.05.037.
  • 13. Liu D, Wang S, Zhang C, Tomovic M. Bayesian model averaging based reliability analysis method for monotonic degradation dataset based on inverse Gaussian process and Gamma process. Reliability Engineering & System Safety 2018; 180: 25-38, https://doi.org/10.1016/j.ress.2018.06.019.
  • 14. Liu W, He G. Storage life of silicone rubber sealing ring used in solid rocket motor. Chinese Journal of Aeronautics 2014; 27(6): 1469-76, https://doi.org/10.1016/j.cja.2014.10.013.
  • 15. Müller HK. Concepts of sealing mechanism of rubber lip type rotary shaft seals. In: Proceedings of the BHRA 11th international conference on fluid sealing. Cannes. 1987: 698-709.
  • 16. Park C, Padgett WJ. Stochastic degradation models with several accelerating variables. IEEE Trans Rel 2006; 55 :379-90, https://doi.org/10.1109/TR.2006.874937.
  • 17. Park C, Padgett WJ. Accelerated degradation models for failure based on geometric Brownian motion and Gamma processes. Lifetime Data Anal 2005; 11: 511-27, https://ieeexplore.ieee.org/document/1638421.
  • 18. Park I, Grandhi RV. A Bayesian statistical method for quantifying model form uncertainty and two model combination methods. Rel Eng Syst Safety 2014; 129: 46-56, https://doi.org/10.1016/j.ress.2014.04.023.
  • 19. Peter JH, Malik A S, Langer K. An efficient reliability-based simulation method for optimum laser peening treatment. Journal of Manufacturing Science and Engineering 2016; 138(11): 111001, https://doi.org/10.1115/1.033604.
  • 20. Peng C, Guo S, Ouyang X, Zhou Q, Yang H. An eccentric 3-D fluid-structure interaction model for investigating the effects of rod parallel offset on reciprocating-seal performance. Tribology International 2018; 128: 279-90,https://doi.org/10.1016/j.triboint.2018.07.028.
  • 21. Peng C, Ouyang X, Zhu Y, Guo S, Zhou Q, Yang H. Investigation into the influence of stretching on reciprocating rod seals based on a novel 3-D model vs axisymmetric model. Tribology International 2018; 117: 1-14, https://doi.org/10.1016/j.triboint.2017.06.020.
  • 22. Peng CY. Inverse Gaussian processes with random effects and explanatory variables for degradation data. Technometrics 2015; 57: 100-11.
  • 23. Peng W, Liu Y, Zhang X, Huang HZ. Sequential preventive maintenance policies with consideration of random adjustment-reduction features. Eksploatacja i Niezawodnosc -Maintenance and Reliability 2015, 17(2): 306-313, https://doi.org/10.1080/00401706.2013.879077.
  • 24. Peng W, Li YF, Yang YJ, Mi J, Huang HZ. Bayesian Degradation Analysis With Inverse Gaussian Process Models Under Time-Varying Degradation Rates. IEEE Transactions on Reliability 2017; 66: 84-96, https://ieeexplore.ieee.org/document/7803533/.
  • 25. Peng W, Li YF, Yang YJ, Huang HZ, Zuo MJ. Inverse Gaussian process models for degradation analysis: a Bayesian perspective. Reliab Eng Syst Saf 2014; 130: 175-89, https://doi.org/10.1016/j.ress.2014.06.005.
  • 26. Qin H, Zhang S, Zhou W. Inverse Gaussian process-based corrosion growth modeling and its application in the reliability analysis for energy pipelines. Front. Struct. Civil Eng 2013; 7: 276-87.
  • 27. Raftery AE, Gneiting T, Balabdaoui F, Polakowski M. Using Bayesian model averaging to calibrate forecast ensembles. Month Weather Rev 2005; 133: 1155-74.
  • 28. Rodríguezpicón LA, Rodríguezpicón AP, Méndezgonzález LC, Rodríguez-Borbón MI, Alvarado-Iniesta A. Degradation modeling based on gamma process models with random effects. Commun Stat 2017; 1: 1-15.
  • 29. Salant RF, Flaherty AL. Elastohydrodynamic analysis of reverse pumping in rotary lip seals with microasperities. Journal of Tribology 1995;117(1): 53-9.
  • 30. Shen D, Salant RF. Elastohydrodynamic analysis of the effect of shaft surface finish on rotary lip seal behavior. Tribology Transactions 2003;46(3): 391-6.
  • 31. Shen D, Salant RF. A transient mixed lubrication model of a rotary lip seal with a rough shaft. Tribology Transactions 2006; 49(4): 621-34.
  • 32. Tseng ST, Balakrishnan N, Tsai CC. Optimal step-stress accelerated degradation test plan for gamma degradation processes. IEEE Transactions on Reliability 2009; 58: 611-18.
  • 33. Wang HK, Li YF, Liu Y, Yang YJ, Huang HZ. Remaining useful life estimation under degradation and shock damage. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability 2015; 229(3): 200-208.
  • 34. Wang LZ, Pan R, Li XY, Jiang TM. A Bayesian reliability evaluation method with integrated accelerated degradation testing and field information. Reliability Engineering & System Safety 2013; 112: 38-47.
  • 35. Li X, Peng GL, Wang Q. A numerical analysis method of hydraulic seals for downhole equipments. Advances in Mechanical Engineering 2013; 5: 151794.
  • 36. Li X, Peng GL, Li Z. Prediction of seal wear with thermal-structural coupled finite element method. Finite Elements in Analysis and Design 2014; 83: 10-21.
  • 37. Yang Y J, Huang HZ, Liu Y, Zhu SP, Peng WW. Reliability analysis of electrohydraulic servo valve suffering common cause failures. Eksploatacja i Niezawodnosc -Maintenance and Reliability 2014, 16(3): 354-359.
  • 38. Zio E. Some challenges and opportunities in reliability engineering. IEEE Transactions on Reliability 2016; 65(4): 1769-82.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-33f1a9fe-cec9-48f0-a59b-e13f2dcbd1d1
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.