Monitoring of engine oil degradation and possiblities of life predictions in combustion engine

• Autorzy: Lukášik Pavol

Identyfikatory

DOI

10.29354/diag/169032

• Języki publikacji: EN

Abstrakty

EN

The article entitled Monitoring of engine oil degradation and possibilities of life prediction in combustion engine deals with chronological monitoring of engine oil on the monitored object - a passenger car with a petrol engine. The research concerns the basic physico-chemical parameters of motor oil, where it discusses the operational factors that contribute to its degradation. The theoretical part of the thesis deals with the analysis of the current state of the problem in the chemical composition of engine oils, analysis of the current state of contact indicators of oil quality in lubrication systems of internal combustion engines and analysis of contactless systems "live" evaluating engine oil quality during vehicle operation. The research part of the work includes the collection of operational data, laboratory analysis of oil samples and statistical processing of the results of tribodiagnostic monitoring. This article discusses the 1st phase of extensive long-term research in the field of tribology and operation of the Mitsubishi Lancer 1.5 Inform motor vehicle.

Słowa kluczowe

EN

engine oil degradation; life prediction; oil quality sensors; predictive algorithms; regression analysis

PL

olej silnikowy; degradacja; czujnik; jakość oleju; analiza regresji; algorytmy predykcyjne; prognozowanie trwałości

• Wydawca: Polskie Towarzystwo Diagnostyki Technicznej
• Czasopismo: Diagnostyka
• Rocznik: 2023
• Tom: Vol. 24, No. 3
• Strony: art. no. 2023306
• Opis fizyczny: Bibliogr. 15 poz., rys., tab.

Twórcy

autor

Lukášik Pavol

• Armed Forces Academy of General M. R. Štefánik, Demänovská cesta 393, Liptovský Mikuláš 031 01, Slovakia

Bibliografia

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• 2. Mitsubishi Motors Europe B.V. MITSUBISHI Lancer, Instruction manual. 2008.
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• 4. TRIISO, Lubricant Antiwear (AW) Additives, 2020 https://www.tri-iso.com/lubricants-antiwear additives.html.
• 5. Stopka J. Technical information no. 4/2011 - Undesirable impurities in engine oil for diesel engines. TRIBEX p.r.o 2011; 1-4.
• 6. Marko M. Bulletin no. 6 - Properties and tribodiagnosis of lubricants in the operation of motor vehicles. ÚLZ Trenčín 2014; 60-61.
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• 10. Sejkorová M, Kučera M, Hurtová I, Voltr O. Application of FTIR-ATR Spectrometry in conjunction with multivariate regression methods for viscosity prediction of worn-out motor oils. APPLIED SCIENCES-BASEL 2021; 11(9). https://doi.org/10.3390/app11093842.
• 11. Gibová Z. Deviations and uncertainties of measurement, record of measurement results. Technical University in Košice 2022; 1-6. http://people.tuke.sk/zuzana.gibova/files/2.kap.pdf.
• 12. Bommareddi A. An engine oil algorithm. The Pennsylvania State University 2009. https://etda.libraries.psu.edu/files/final_submissions/392.
• 13. Lukášik P, Marko M, Sako T. Statistical data processing in R-Studio and WEKA software for engine oil life prediction. Transport Means - Proceedings of the International Conference 2021; 1194-1999. https://transportmeans.ktu.edu/wpcontent/uploads/sites/307/2018/02/Transport-Means2021-Part-III.pdf.
• 14. Ghahrizjani RT, Sadeghi H, Mazaheri H. A novel method for online monitoring engine oil quality based on tapered optical fiber sensor. IEEE SENSORS JOURNAL 2016; 16(10). https://www.semanticscholar.org/paper/A-NovelMethod-foronLine-monitoring-EngineOilonGhahrizjanSadeghi/1d8a9e08b7ce5f10836a677938d9cfa9692b2972.
• 15. Hong BJ, Lo Conte F, Kiritsis D, Xirouchakis P. A predictive algorithm for estimating the quality of vehicle engine oil. International Journal of Industrial Engineering 2008; 15(4): 386-396. https://journals.sfu.ca/ijietap/index.php/ijie/article/ view/186/77.

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).