Identyfikatory
Warianty tytułu
Języki publikacji
Abstrakty
This article presents an analysis of the influence of oil service life on the performance parameters of an air-craft piston engine lubrication system used in an ultralight aircraft. The ageing of oil between oil changes causes a change in its parameters (such as density, viscosity...). These parameters have a strong influence on the level of protection of the lubricated components. Currently, in aircraft, oil changes are carried out according to a time schedule - oil is changed every fixed period (residual life) regardless of its actual condition. The task of this article is to test the possibility of an indirect assessment of oil condition based on analysis of changes in selected parameters of engine lubrication system operation during normal operation. The oil warm-up speed during the pre-start procedure and the dependence of oil pressure on engine speed were assumed for the analysis. The study was conducted on an ultralight rotorcraft during normal operation. Selected first daily flights directly after oil change, and after 17, 32, 50 and 66 hours of operation were analysed. It was shown that the warm-up rate changes in the samples analyzed, but that this change may also be due to factors other than oil operating time. In the case of the oil pressure vs. speed characteristics, different characteristics were shown for different operating time, but no specific dependencies were found.
Czasopismo
Rocznik
Tom
Strony
78--83
Opis fizyczny
Bibliogr. 23 poz., 1 fot. kolor., wykr.
Twórcy
autor
- Faculty of Mechanical Engineering, Lublin University of Technology, Poland
autor
- Faculty of Mechanical Engineering, Lublin University of Technology, Poland
Bibliografia
- [1] Announcement of the Minister of Infrastructure of July 3, 2019 on the announcement of the consolidated text of the Regulation of the Minister of Transport, Construction and Maritime Economy on the exclusion of the application of certain provisions of the Aviation Law to certain types of aircraft and the determination of the conditions and requirements for the use of these aircraft. (Dz.U. 2019 poz. 1497).
- [2] AVIATION ARTUR TRENDAK “Tercel Carbon RSTi Aircraft Maintenance Manual” Tercel-C-AMM-001-EN Edition 1, 28 Oct. 2020.
- [3] Balicki W. Przetwarzanie informacji zapisanych w rejestratorze eksploatacyjnym dla celów diagnozowania stanu lotniczego silnika turbinowego, Transactions of the Institute of Aviation. 2011;213:235-244.
- [4] Bareth G, Waldhoff G. 2.01 - GIS for mapping vegetation, Comprehensive Geographic Information Systems. 2018:1-27. https://doi.org/10.1016/B978-0-12-409548-9.09636-6
- [5] Bzowska-Bakalarz M, Bieganowski A, Bereś P, Dammer KH, Ostroga K, Siekaniec Ł et al. Monitoring the state of agrocenosis with the use of remote-sensing gyro system. IX International Scientific Symposium "Farm machinery and prcesses managment in sustainable agriculture". 2017:64-69. Lublin 22-24.11.2017. https://doi.org/10.24326/fmpmsa.2017.12
- [6] Czarnigowski JA, Rękas D, Ścisłowski K, Trendak M, Skiba K. Analysis of operating parameters of the aircraft piston engine in real operating conditions. Combustion Engines. 2021;187(4):83-89. https://doi.org/10.19206/CE-141890
- [7] Gajewski J, Vališ D. The determination of combustion engine condition and reliability using oil analysis by MLP and RBF neural networks, Tribol Int. 2017;115:557-572. https://doi.org/10.1016/j.triboint.2017.06.032.
- [8] Gołębiowski W, Wolak A, Zając G. Definition of oil change intervals based on the analysis of selected physicochemical properties of used engine oils. Combustion Engines. 2018;172(1):44-50. https://doi.org/10.19206/CE-2018-105
- [9] Jun HB, Kiritsis D, Gambera M, Xirouchakis P. Predictive algorithm to determine the suitable time to change automotive engine oil. Comput Ind Eng. 2006;51(4):671-683. https://doi.org/10.1016/j.cie.2006.06.017
- [10] Lewitowicz J. Podstawy eksploatacji statków powietrznych, tom 4. Badania eksploatacyjne statków powietrznych. Wydawnictwo Instytutu Technicznego Wojsk Lotniczych. Warszawa 2008.
- [11] Macián V, Tormos B, Olmeda P, Montoro L. Analytical approach to wear rate determination for internal combustion engine condition monitoring based on oil analysis. Tribol Int. 2003;36(10):771-776. https://doi.org/10.1016/S0301-679X(03)00060-4.
- [12] Picture of Tercel Carbon provided on demand by Aviation Artur Trendak company.
- [13] Piec P. Diagnostics of the wear intensity of engine oil during operation. Tribology. 2012;6:139-145.
- [14] Raposo H, Farinha J, Fonseca I, Ferreira L. Condition monitoring with prediction based on diesel engine oil analysis: a case study for urban buses. Actuators. 2019;8(1):14. https://doi.org/10.3390/act8010014
- [15] Registry of ultralight gyrocopters. Civil Aviation Authority of the Republic of Poland (accessed 08.04.2022).
- [16] Rostek E, Babiak M, Wróblewski E. The influence of oil pressure in the engine lubrication system on friction losses. Procedia Engineer. 2017;192:771-776. https://doi.org/10.1016/j.proeng.2017.06.133
- [17] Szczepanik T. Analysis of the state of the gyroplane world market. Transactions of the Institute of Aviation 2016;244(3): 227-238.
- [18] Szczepanik T, Łusiak T. The maintenance gyroplanes as aircraft. Transactions of the Institute of Aviation. 2015; 241(4):87-95. https://doi.org/10.5604/05096669.1202197
- [19] Wang W. A prognosis model for wear prediction based on oil-based monitoring. J Oper Res Soc. 2007;58(7):887-893. https://doi.org/10.1057/palgrave.jors.2602185
- [20] Wang W, Zhang W. A model to predict the residual life of aircraft engines based upon oil analysis data. Nav Res Log. 2005;52:276-284. https://doi.org/10.1002/nav.20072
- [21] Wolak A, Zając G, Żółty M. Changes of properties of engine oils diluted with diesel oil under real operating conditions. Combustion Engines. 2018;173(2):34-40. https://doi.org/10.19206/CE-2018-206
- [22] Zhang C, Wang N. Aero-engine condition monitoring based on support vector machine. Physcs Proc. 2012;24(B):1546-1552. https://doi.org/10.1016/j.phpro.2012.02.228
- [23] Zhu X, Zhong C, Zhe J. Lubricating oil conditioning sensors for online machine health monitoring - a review. Tribol Int. 2017;109:473-484. https://doi.org/10.1016/j.triboint.2017.01.015
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-2b5e7425-b3c2-40ea-9c7c-0596dc1e5f66