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Assessment of oil change intervals in urban buses based on the selected physicochemical properties of used engine oils

Treść / Zawartość
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The paper presents the results of the analysis of selected physicochemical parameters of engine oils after their use. The oils were obtained both from urban buses belonging to the fleet of a municipal transport company in Lublin, Poland but also from the city of Pardubice in the Czech Republic. Five samples of 10W40 semi-synthetic oil and four samples of 5W30 synthetic oil were tested. Kinematic viscosity at 40°C and 100°C, oxidation, nitration, sulfonation, total acid number (TAN), total base number (TBN), remaining antiwear additives, water content and glycol content, were assessed using infrared spectroscopy (FTIR). The tests were performed on the basis of the ASTM E2412-10 standard. The article also presents the exceedance of the limit values results for the selected parameters. The results of the research can be used in optimizing the engine oil change interval so that the decision to replace the oil is justified both in economic and technical terms, taking into account the need to maintain the service life of the bus.
Czasopismo
Rocznik
Strony
15--23
Opis fizyczny
Bibliogr. 23 poz., wykr.
Twórcy
  • Faculty of Production Engineering, University of Life Sciences in Lublin, Poland
  • Faculty of Production Engineering, University of Life Sciences in Lublin, Poland
  • Faculty of Transport Engineering, University of Pardubice, Czech Republic
autor
  • Institute of Quality and Product Management Sciences, Cracow University of Economics, Poland
Bibliografia
  • [1] Ahmad R, Kamaruddin S. An overview of time-based and condition-based maintenance in industrial application. Comput Ind Eng. 2012;63(1):135-149. https://doi.org/10.1016/j.cie.2012.02.002
  • [2] Caban J, Droździel P, Krzywonos L, Rybicka I, Šarkan B, Vrábel J. Statistical analyses of selected maintenance parameters of vehicles of road transport companies. Adv Sci Technol Res J. 2019;13(1):1-13. https://doi.org/10.12913/22998624/92106
  • [3] Chmielewski Z. Reliability of engine oil in operation (in Polish). Autobusy - Technika, Eksploatacja, Systemy Transportowe. 2017; 18(12):761-764.
  • [4] Chmielewski Z. Assessment of the kinetics of changes in selected physicochemical indicators of engine oil in operation. Combustion Engines. 2022;188(1):24-29. https://doi.org/10.19206/CE-141337
  • [5] Chmielewski Z, Stobiecki J, Górska M. The concept of evaluation of reliability of modern engine oils in operation. Autobusy - Technika, Eksploatacja, Systemy Transportowe. 2018;19(12):337-340. https://doi.org/10.24136/atest.2018.410
  • [6] Du Y, Wu T, Makis V. Parameter estimation and remaining useful life prediction of lubricating oil with HMM. Wear. 2017;376:1227-1233. https://doi.org/10.1016/j.wear.2016.11.047
  • [7] Gołębiowski W, Zając G, Sarkan B. Evaluation of the impact of tractor field works on changes in selected elements of engine oils. Agric Eng. 2022;26:1-12. https://doi.org/10.2478/agriceng-2022-0001
  • [8] Gołębiowski W, Zając G, Wolak A. Analysis of engine oils from farm tractors in the aspect of their change. Agric Eng. 2019;23(1):25-38. https://doi.org/10.1515/agriceng-2019-0003
  • [9] Kral Jr J, Konecny B, Kral J, Madac K, Fedorko G, Molnar V. Degradation and chemical change of longlife oils following intensive use in automobile engines. Measurement. 2014; 50:34-42. https://doi.org/10.1016/j.measurement.2013.12.034
  • [10] Macian V, Tormos B, Ruiz S, Miro G. Low viscosity engine oils: study of wear effects and oil key parameters in a heavy duty engine fleet test. Tribol Int. 2016;94:240-248. https://doi.org/10.1016/j.triboint.2015.08.028
  • [11] 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
  • [12] Raposo H, Farinha JT, Fonseca I, Galar D. Predicting condition based on oil analysis - a case study. Tribol Int. 2019; 135:65-74. https://doi.org/10.1016/j.triboint.2019.01.041
  • [13] Sejkorová M, Hurtová I, Glos J, Pokorný J. Definition of a motor oil change interval for high‑volume diesel engines based on its current characteristics assessment. Acta Univ Agric Silvic Mendel Brun. 2017;65(2):481-490. https://doi.org/10.11118/actaun201765020481
  • [14] Sejkorová M, Hurtová I, Jilek P, Novák M, Voltr O. Study of the effect of physicochemical degradation and contamination of motor oils on their lubricity. Coatings. 2021;11(1):60. https://doi.org/10.3390/coatings11010060
  • [15] Semjonovs J, Springis G, Leitans A. Increasing of engine oil change interval by using additional oil filter in diesel engines. Eng Rur Develop. 2014;(13):247-252. http://www.tf.llu.lv/conference/proceedings2014/Papers/42_Semjonovs_J.pdf
  • [16] Shin JH, Jun HB. On condition based maintenance policy. J Comput Des Eng. 2015;2(2):19-27. https://doi.org/10.1016/j.jcde.2014.12.006
  • [17] Urzędowska W, Stępień Z. Selected issues concerning changes in the properties of engine lubricating oil in operation (in Polish). Nafta-Gaz. 2012;12:1102-1110.
  • [18] Vališ D, Zak L, Pokora O. Engine residual technical life estimation based on tribo data. Eksploat Niezawodn. 2014; 16(2):203-210. RIV/00216224:14310/14:00076267
  • [19] Vališ D, Žák L, Pokora O, Lánský P. Perspective analysis outcomes of selected tribodiagnostic data used as input for condition based maintenance. Reliab Eng Syst Saf. 2016; 145:231-242. https://doi.org/10.1016/j.ress.2015.07.026
  • [20] Wolak A. TBN performance study on a test fleet in real-world driving conditions using present-day engine oils. Measurement. 2018;114:322-331. https://doi.org/10.1016/j.measurement.2017.09.044
  • [21] Wolak A, Zając G. The kinetics of changes in kinematic viscosity of engine oils under similar operating conditions. Eksploat Niezawodn. 2017;19(2):260-267. https://doi.org/10.17531/ein.2017.2.14
  • [22] Zając G, Gołębiowski W, Szczepanik M, Wolak A, Sejkorová M. Analysis of changes in soot content in engine oils under operating conditions. Lubricants. 2023;11(2):89. https://doi.org/10.3390/lubricants11020089
  • [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 MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-84df88f5-bec9-4a5f-857c-40a54bcd4d8e
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