آنالیز پیش‌بینی روند خرابی و تعمیرپذیری یک موتور مینی‌توربوفن از منظر داده‌های آماری به‌منظور کاربرد در یک پهپاد

نوع مقاله : مقاله پژوهشی

نویسندگان

1 عضو هیات علمی / مجتمع دانشگاهی هوافضا، دانشگاه صنعتی مالک اشتر

2 کارشناس ارشد / مجتمع دانشگاهی هوافضا، دانشگاه صنعتی مالک اشتر

چکیده

در این مقاله یک موتور مینی توربوفن مورد استفاده در یک پهپاد با مداومت پروازی بالا در مرحلة طراحی انتخاب و تحلیل‌های مربوط به پیش‌بینی قابلیت اطمینان و تعمیر و نگه‌داری آن انجام شده است. مدلسازی موتور توربوفن با استفاده از دیاگرام‌های بلوکی انجام شده و قابلیت اطمینان، اهمیت قابلیت اطمینان و قابلیت دسترسی موتور و اجزای آن به‌دست آمده است. قابلیت اطمینان موتور در 126 ساعت پروازی به زیر 98 درصد می‌رسد. جهت ارتقای سطح قابلیت اطمینان موتور، از تخصیص قابلیت اطمینان 98 درصد برای 250 ساعت پرواز استفاده شده است. قابلیت دسترسی موتور توربوفن تحت بررسی با استفاده از شبیه‌سازی مونت کارلو تحلیل شده و مقدار آن برای سه سال برابر با 0/753 درصد برآورد شده و سیاست تعمیر و نگه‌داری پیش‌گیرانه پیشنهاد شده است.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Failure and maintenance prediction analysis of a mini-turbofan engine by implementation of statistical data with application in a UAV

نویسندگان [English]

  • Jamasb Pirkandi 1
  • Mehdi Jahromi 1
  • Mojtaba Mohammadpour 2
1
2
چکیده [English]

In this paper a mini turbofan engine which would be used in a UAV, is considered to be in the early and reverse design phase and reliability and maintainability analysis have been performed. To overcome the lack of data in design phase, it is used generic data or expert judgments. Then simulation process utilizing reliability block diagrams is performed. The results involve reliability evaluation of system, reliability importance and availability. The engine has less than 98 percent reliability in 126 flight hours. A reliability allocation method has been utilized to improve the reliability measure to 98 percent in 250 flight hours. An availability analysis utilizing Monte Carlo simulation has been done and 0.753 percent as mean availability has been estimated during 3 years usage and maintenance policies have been proposed for 3 years usage of the engine. Results reveal that the oil and fuel filters, pumps and the disks and blades of the rotating subsystems are the most critical parts of the engine.

کلیدواژه‌ها [English]

  • mini turbofan engine
  • UAV
  • failure trend
  • Maintenance

مراجع

[1] M. Modarres, M. P. Kaminskiy, V. Krivtsov, Reliability engineering and risk analysis: a practical guide, Second edition, CRC press, 2009.
[2] A. El-Sayed, Aircraft propulsion and gas turbine engines, CRC Press, 2008.
[3] G. C. Avontuur, K. van der Werff, An implementation of reliability analysis in the conceptual design phase of drive trains, Reliability Engineering & System Safety, Vol. 73, No. 2, pp. 155-165, 2001.
[4] B. M. O. Halloran, C. Hoyle, R. B. Stone, I. Y. Tumer, The early design reliability prediction method, Proceedings of The international mechanical engineering congress and exposition, pp. 1765-1776, 2012.
[5] A. N. Patowary, J. Hazarika, G. L. Sriwastav, Estimation of reliability in interference models using Monte Carlo simulation, Reliability: Theory and Applications, Vol. 1, pp. 78-84, 2012.
[6] A. Mettas, Reliability allocation and optimization for complex systems, Proceedings of The Reliability and Maintainability Symposium, pp. 216-221, 2000.
[7] G. R. Weckman, R. L. Shell, J. H. Marvel, Modeling the reliability of repairable systems in the aviation industry, Computers & industrial engineering, Vol. 40, No. 1-2, pp. 51-63, 2001.
[8] R. K. Moghadas, M. J. Fadaee, Reliability assessment of structures by Monte Carlo simulation and neural networks, Asian Journal of Civil Engineering (Building and Housing), Vol. 13, No. 1, pp. 79-88, 2012.
[9] Northrop unveils next generation Global Hawk, aerotech news and review, 2006; https://en.wikipedia.org/wiki/Northrop_Grumman_RQ-4_Global_Hawk.
[10] J. Mattingly, H. Von Ohain, Elements of propulsion: gas turbines and rockets, AIAA education series, Second edition, 2006.
[11] A. Onvani, Gas Turbines (Industrial-Aircraft), Arkan Press, Edition 2, 2010 (in Persianفارسی ).
[12] W. R. Blischke, D. N. Prabhakar Murthy, Case Studies in Reliability and Maintenance, Vol. 480, John Wiley & Sons, Hoboken, 2003.
[13] D. P. Kroese, T. Taimre, Z. I. Botev, Handbook of Monte Carlo methods. Vol. 706, John Wiley & Sons, 2011.
[14] M. Modarres, Risk analysis in engineering: techniques, tools, and trends, CRC press, 2006.
[15] A. N. O'Connor, Probability distributions used in reliability engineering. RIAC, 2011.
[16] A. C. Márquez, The maintenance management framework: models and methods for complex systems maintenanc, Springer, 2007.
[17] L. Leemis, Reliability: probabilistic models and statistical methods, Prentice-Hall, Inc., 1995.
[18] Y. K. Malaiya, Reliability allocation, Encyclopedia of Statistics in Quality and Reliability, John Wiley & Sons, 2008.
[19] O. P. Yadav, N. Singh, P. S. Goel, Reliability demonstration test planning: A three dimensional consideration, Reliability Engineering & System Safety, Vol. 91, No. 8, pp. 882-893, 2006.
[20] OREDA Participants, Offshore reliability data handbook, 4th ed., Norway, Trondhim, 2002.
[21] Handbook Military. Reliability Prediction of ElectronicEquipment, MILHDBK-217F, Department of Defense, Washington, 1991.
[22] Center, Naval Surface Warfare. Handbook of reliability prediction procedures for mechanical equipment. Carderock Division, Naval Surface Warfare Center, 1998.
[23] Handbook Military. Reliability modeling and Prediction, MILHDBK-756b, Department of Defense, Washington, 1981.
[24] Maintenance Report of Civil Aviation Organization of Islamic Republic of Iran, 2013.

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