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Fault mode analysis and reliability optimization design of a mechanical interface based on cylindrical cam mechanisms

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The mechanical interface has the characteristics of low shock and vibration, and is emphasized in the aerospace and ocean engineering fields. In this paper, a mechanical interface based on coupled cylindrical cam mechanisms is designed. It can achieve the expected functions, but there exist faults in some times. The fault modes and causes of the interface are firstly analyzed. Then a design approach based on Monte Carlo simulation is presented for analyzing and optimizing its reliability. According to the fault modes, the performance functions of the interface are established for obtaining the optimal scheme. A case is given to illustrate the proposed method. The simulation results and the prototype experiments prove that the optimization scheme effectively improves the reliability of the interface, and has better performance than the original one.
Rocznik
Strony
715--723
Opis fizyczny
Bibliogr. 25 poz., rys., tab.
Twórcy
autor
  • Naval Architecture and Ocean Engineering College, Dalian Maritime University, Dalian, Liaoning, 116026, P.R. China
autor
  • Naval Architecture and Ocean Engineering College, Dalian Maritime University, Dalian, Liaoning, 116026, P.R. China
autor
  • Beijing Spacecrafts, Beijing, 100083, P.R. China
autor
  • Beijing Spacecrafts, Beijing, 100083, P.R. China
  • Naval Architecture and Ocean Engineering College, Dalian Maritime University, Dalian, Liaoning, 116026, P.R. China
Bibliografia
  • 1. Adomeit A, Lakshmanan M, Schervan T, Dafnis A, Reimerdes H G. Structural concept and design for modular and serviceable spacecraft systems. Collection of Technical Papers - AIAA/ASME/ ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference; 2013, https://doi.org/10.2514/6.2013-1575.
  • 2. Carvalho T H M, Kingston J. Establishing a framework to explore the Servicer-Client relationship in On-Orbit Servicing. Acta Astronautica 2018; 153: 109-121, https://doi.org/10.1016/j.actaastro.2018.10.040.
  • 3. Feng X, Moon I, Ryu K. Revenue-sharing contracts in an N-stage supply chain with reliability considerations. International Journal of Production Economics 2013; 147: 20-29, https://doi.org/10.1016/j.ijpe.2013.01.002.
  • 4. Goka E, Homri L, Beaurepaire P, Dantan J Y. Statistical tolerance analysis of over-constrained mechanical assemblies with form defects considering contact types. Journal of Computing and Information Science in Engineering 2019; 19(2): 021010, https://doi.org/10.1115/1.4042018.
  • 5. Haldar A, Farag R. A novel reliability evaluation method for large dynamic engineering systems. 2010 2nd International Conference on Reliability, Safety and Hazard; 2010: 21-31, https://doi.org/10.1109/ICRESH.2010.5779619.
  • 6. Hölle M, Bartsch C, Jeschke P. Evaluation of measurement uncertainties for pneumatic multihole probes using a Monte Carlo method. Journal of Engineering for Gas Turbines and Power 2017; 139(7): 072605, https://doi.org/10.1115/1.4035626.
  • 7. Hu Z, Du X. Mixed efficient global optimization for time-dependent reliability analysis. Journal of Mechanical Design 2015; 137(5): 051401, https://doi.org/10.1115/1.4029520.
  • 8. Kortmann M, Meinert T, Dafnis A, Schroeder K. Multifunctional interface for modular satellite systems with robotic servicing capabilities. Proceedings of the International Astronautical Congress 2018; 15: 9726-9734, https://doi.org/10.1007/s42423-018-0009-1.
  • 9. Li W J, Cheng D Y, Liu X G, Wang Y B. On-orbit service (OOS) of spacecraft: A review of engineering developments. Progress in Aerospace Sciences 2019; 108: 32-120, https://doi.org/10.1016/j.paerosci.2019.01.004.
  • 10. Li Y F, Huang H Z, Mi J, Peng W, Han X. Reliability analysis of multi-state systems with common cause failures based on Bayesian network and fuzzy probability. Annals of Operations Research 2019; https://doi.org/10.1007/s10479-019-03247-6.
  • 11. Liu C X, Kramer A, Neumann S. Reliability assessment of repairable phased-mission system by Monte Carlo Simulation based on modular sequence-enforcing fault tree model. Eksploatacja i Niezawodnosc - Maintenance and Reliability 2020; 22(2):272-281, https://doi.org/10.17531/ein.2020.2.10.
  • 12. Mayda M, Choi S K. A reliability-based design framework for early stages of design process. Journal of the Brazilian Society of Mechanical Sciences and Engineering 2017; 39(6): 2105-2120, https://doi.org/10.1007/s40430-017-0731-y.
  • 13. Mi J, Beer M, Li Y F, Broggi M, Cheng Y. Reliability and importance analysis of uncertain system with common cause failures based on survival signature. Reliability Engineering & System Safety 2020; https://doi.org/10.1016/j.ress.2020.106988.
  • 14. Mi J, Li Y F, Peng W, Huang H Z. Reliability analysis of complex multi-state system with common cause failure based on evidential networks. Reliability Engineering & System Safety 2018; 174: 71-81, https://doi.org/ 10.1016/j.ress.2018.02.021.
  • 15. Rhee S J, Ishii K. Predicting cost of poor quality and reliability for systems using failure modes and effects analysis. American Society of Mechanical Engineers 2004; 117: 23-33, https://doi.org/10.1115/IMECE2004-59612.
  • 16. Singh A, Mourelatos Z P, Nikolaidis E. An importance sampling approach for time-dependent reliability. Proceedings of the ASME Design Engineering Technical Conference 2011; 5: 1077-1088, https://doi.org/10.1115/DETC2011-47200.
  • 17. Stetter R, Goser R, Gresser S, Till M, Witczak M. Fault-tolerant design for increasing the reliability of an autonoumous driving gear shifting system. Eksploatacja i Niezawodnosc - Maintenance and Reliability 2020; 22(3):482-492, https://doi.org/10.17531/ein.2020.3.11.
  • 18. Sun Y, Sun Z L, Yin M G, Zhou J. Reliability model of sequence motions and its solving idea. Eksploatacja i Niezawodnosc - Maintenance and Reliability 2019; 21(3):359-366, https://doi.org/10.17531/ein.2019.3.1.
  • 19. Tanaka H, Yamamoto N, Yairi T, Machida K. Autonomous assembly of cellular satellite by robot for sustainable space system. International Astronautical Federation - 56th International Astronautical Congress 2005; 7: 4844-4854, https://doi.org/10.20965/jrm.2006.p0356.
  • 20. Wang P, Cui X, Wang Z. Reliability analysis and design considering disjointed active failure regions. ASME 2015 International Mechanical Engineering Congress and Exposition 2015; 11, https://doi.org/10.1115/IMECE2015-52985.
  • 21. Wang Z, Wang P. An integrated performance measure approach for system reliability analysis. Journal of Mechanical Design, Transactions of the ASME 2015; 137(2): 021406, https://doi.org/10.1115/1.4029222.
  • 22. Xu H, Rahman S. Decomposition methods for structural reliability analysis. Probabilistic Engineering Mechanics 2005; 20(3): 239-250, https://doi.org/10.1016/j.probengmech.2005.05.005.
  • 23. You L, Zhang J, Li Q, Ye N. Structural reliability analysis based on fuzzy random uncertainty. Eksploatacja i Niezawodnosc - Maintenance and Reliability 2019; 21 (4): 599-609, http://dx.doi.org/10.17531/ein.2019.4.9.
  • 24. Zhang D, Smith D E. Finite element-based brownian dynamics simulation of nanofiber suspensions using Monte Carlo Method. Journal of Micro and Nano-Manufacturing 2015; 3(4): 041007, https://doi.org/10.1115/1.4031492.
  • 25. Zimmermann J, Sadeghi M Z, Schroeder K U. The effect of γ-radiation on the mechanical properties of structural adhesive. International Journal of Adhesion and Adhesives 2019; 93:102334, https://doi.org/10.1016/j.ijadhadh.2019.01.028.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-9cb96187-e99a-4459-8d2b-96b8b08ad210
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