Management of the Resource of Oil Cleaning Filters in Logistics Systems for Internal Combustion Engine Maintenance
DOI:
https://doi.org/10.32515/2664-262X.2026.13(44).241-249Keywords:
oil filter, reliability indicators, automobile, replacement intervalAbstract
The article addresses the problem of effective management of the resource of oil filters in logistics systems for the maintenance of internal combustion engine (ICE) automobiles and their impact on engine reliability and durability. Real operating conditions, changes in operating modes, and equipment usage intensity lead to accelerated contamination of oil filters, which increases logistics costs for maintenance, extends equipment downtime, and reduces engine life.
The purpose of the article is to justify the optimal oil filter replacement intervals within the maintenance logistics system based on statistical analysis of Mazda vehicle operational data, as well as to develop principles for managing their remaining service life.
Frequent filter replacement at fixed mileage without monitoring their actual condition is economically unjustified and leads to excessive costs in the maintenance logistics system. The use of modern oil condition monitoring methods (content of mechanical impurities, acid and alkali numbers, viscosity) enables significant extension of filter replacement intervals, optimization of spare parts inventory, and reduction of overall maintenance costs for the vehicle fleet. At the same time, accurate filter resource management requires consideration of operating modes, seasonality, fuel quality, and conditions of a specific vehicle fleet.
The article presents an analysis of statistical data on oil filter replacement frequency in Mazda vehicles under real operating conditions. The following statistical indicators of the oil filter resource in ICE lubrication systems have been established: average replacement interval – 10.04 thousand km; root mean square deviation – 3.04 thousand km; coefficient of variation – 0.45.
The application of filter elements based on synthetic fibers and multilayer composite materials significantly increases dirt-holding capacity and filtration efficiency, creating preconditions for extending replacement intervals in maintenance logistics systems.
The authors emphasize that the key element of effective oil filter resource management is the implementation of adaptive maintenance schedules based on oil condition monitoring and filter residual resource prediction, taking into account economic, environmental, and logistical factors.
Further development of real-time oil condition monitoring systems, integration of contamination sensors into the onboard computer, and the use of digital maintenance planning platforms will contribute to the optimization of maintenance logistics, reduction of spare parts costs, and enhancement of the overall reliability of the vehicle fleet.
References
Список літератури
1. Ружило З., Новицький А., Карабиньош С., Мельник В., Новицький Ю. Усе про фільтри для очищення олив. Агроексперт. 2018. № 4 (117). С. 72–75.
2. Hönig V., Mařík J., Hromádko J., Kupka J., Hönig V. Determination of Tractor Engine Oil Change Interval Based on Material Properties. Materials. 2020. Vol. 13, No. 17. P. 1–14. DOI: [https://doi.org/10.3390/ma13173768](https://doi.org/10.3390/ma13173768).
3. Maya-Yescas R., Nápoles-Rivera F., Hernández-Cortez C., de la Torre-Sánchez E. Maximizing Lubricant Life for Internal Combustion Engines. Processes. 2022. Vol. 10, No. 10. P. 2070. DOI: [https://doi.org/10.3390/pr10102070](https://doi.org/10.3390/pr10102070).
4. Smigins R., Pronckus A., Pukalskas S., Bazaras Ž. Studies on Engine Oil Degradation Characteristics in a Field Test with Passenger Cars. *Energies*. 2023. Vol. 16, No. 24. P. 1–20. DOI: [https://doi.org/10.3390/en16247955](https://doi.org/10.3390/en16247955).
5. Hujo Ľ., Kaszkowiak J., Nosian J., Michalides M. (2022). Test of oil filters on laboratory test device. (2022). Journal of MECHANICAL ENGINEERING, VOL 72. № 3, 27–34.
6. Babanin O., Butskiy O., Kovalenko O., Maksimov M. (2018). *Application of Synthetic Filters from Polypropylene in Diesel Locomotive Oil Systems to Improve the Efficiency of Cleaning Engine Oil*. International Journal of Engineering & Technology, 7(4), 162–166. http://lib.kart.edu.ua/bitstream/123456789/23420/1/Babanin.pdf
7. S. Rațiu, A. Josan, V. Alexa, V. George. (2021). Journal of Physics Conference Series 1781(1):012051. Impact of contaminants on engine oil: a review. DOI:10.1088/1742-6596/1781/1/012051
8. Dellis P. S., Antoniadis I. A., Sakellariou J. K. Wear Metal Concentrations Used for Enhancing Spectrometric Oil Analysis Method Credibility: The Case of Metal-to-Metal Contact Failures. *Tribology in Industry*. 2024. Vol. 46, No. 3. P. 464–477. DOI: [https://doi.org/10.24874/ti.1579.03.24.10](https://doi.org/10.24874/ti.1579.03.24.10).
9. Hujo Ľ., Kučera M., Brezáni I., Kučera Ľ., Faltinová E. Test of Oil Filters on Laboratory Test Device. *Strojnícky časopis – Journal of Mechanical Engineering*. 2022. Vol. 72, No. 3. P. 149–156. DOI: [https://doi.org/10.2478/scjme-2022-0037](https://doi.org/10.2478/scjme-2022-0037).
10. Tian, X., Ou, Q., Lu, Y., Liu, J., Liang, Y., Pui, D. Y. H., & Yi, H. (2023). Influence of oil content on particle loading characteristics of a two-stage filtration system. Atmosphere, 14(3), 551. https://doi.org/10.3390/atmos14030551
11. Bazarov B.I., Khusanjonov A.S. Analysis of Common Oil Filters Faults. ISSN 2776-0987. 2023. Vol. 4, No. 3. P. 40-47.
12. Zaharia I., et al. (2024). Monitoring and Maintenance of Oil Filtration Systems in Internal Combustion Engines. Journal of Engine Maintenance, 12(1), рр. 15–22. DOI:10.1088/1757-899X/1311/1/012039
13. Goyal, A., and Willyoung, R. (1985). Engine Oil Filter Performance with Synthetic and Mineral Oils. SAE Technical Paper 850549. https://doi.org/10.4271/850549.
References
1. Ruzhylo Z., Novytskyi A., Karabynosh S., Melnyk V., Novytskyi Yu. (2018). Use pro filtry dlia ochyshchennia olyv. Agroexpert, 4 (117), 72–75 [in Ukrainian].
2. Honig, V., Marik, J., Hromadko, J., Kupka, J., & Honig, V. (2020). Determination of tractor engine oil change interval based on material properties. Materials, 13(17), Article 3768. https://doi.org/10.3390/ma13173768 [in Ukrainian].
3. Maya-Yescas, R., Napoles-Rivera, F., Hernandez-Cortez, C., & de la Torre-Sanchez, E. (2022). Maximizing lubricant life for internal combustion engines. Processes, 10(10), Article 2070. https://doi.org/10.3390/pr10102070 [in Ukrainian].
4. Smigins, R., Pronckus, A., Pukalskas, S., & Bazaras, Z. (2023). Studies on engine oil degradation characteristics in a field test with passenger cars. Energies, 16(24), Article 7955. https://doi.org/10.3390/en16247955 [in Ukrainian].
5. Hujo, L., Kaszkowiak, J., Nosian, J., & Michalides, M. (2022). Test of oil filters on laboratory test device. Journal of Mechanical Engineering, 72(3), 27–34 [in Ukrainian].
6. Babanin, O., Butskiy, O., Kovalenko, O., & Maksimov, M. (2018). Application of synthetic filters from polypropylene in diesel locomotive oil systems to improve the efficiency of cleaning engine oil. International Journal of Engineering & Technology, 7(4), 162–166. http://lib.kart.edu.ua/bitstream/123456789/23420/1/Babanin.pdf
7. Ratiu, S., Josan, A., Alexa, V., & George, V. (2021). Impact of contaminants on engine oil: A review. Journal of Physics: Conference Series, 1781(1), 012051. https://doi.org/10.1088/1742-6596/1781/1/012051 [in Ukrainian].
8. Dellis, P. S., Antoniadis, I. A., & Sakellariou, J. K. (2024). Wear metal concentrations used for enhancing spectrometric oil analysis method credibility: The case of metal-to-metal contact failures. Tribology in Industry, 46(3), 464–477. https://doi.org/10.24874/ti.1579.03.24.10 [in Ukrainian].
9. Hujo, L., Kucera, M., Brezani, I., Kucera, L., & Faltinova, E. (2022). Test of oil filters on laboratory test device. Strojnicky casopis – Journal of Mechanical Engineering, 72(3), 149–156. https://doi.org/10.2478/scjme-2022-0037 [in Ukrainian].
10. Tian, X., Ou, Q., Lu, Y., Liu, J., Liang, Y., Pui, D. Y. H., & Yi, H. (2023). Influence of oil content on particle loading characteristics of a two-stage filtration system. Atmosphere, 14(3), Article 551. https://doi.org/10.3390/atmos14030551 [in Ukrainian].
11. Bazarov, B. I., & Khusanjonov, A. S. (2023). Analysis of common oil filters faults. ISSN 2776-0987, 4(3), 40–47 [in Ukrainian].
12. Zaharia, I., et al. (2024). Monitoring and maintenance of oil filtration systems in internal combustion engines. IOP Conference Series: Materials Science and Engineering, 1311(1), 012039. https://doi.org/10.1088/1757-899X/1311/1/012039
13. Goyal, A., & Willyoung, R. (1985). Engine oil filter performance with synthetic and mineral oils. SAE Technical Paper 850549. https://doi.org/10.4271/850549 [in Ukrainian].
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Copyright (c) 2026 Andriy Novitskyi, Valentyna Melnyk, Vitalii Lisetskyi, Yuri Novitskyi
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