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Application of the biomass as a construction material of the oil filter and its influence on the performance and emission characteristics

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Języki publikacji
EN
Abstrakty
EN
Engine emissions can be reduced by performing suitable modifications to the oil filter. Biomass medium served as the replacement for the standard paper fibres, which are used in common oil filters. The experimental analysis of 4 emission elements showed a moderate increase in the case of 2 emission characteristics, whereby a 10% increase in monoxide was present, and also, an increase of 2.5% of nitrogen oxides was observed. Further, there was a significant reduction of 2 other emission elements, namely the unburned hydrocarbons decreased by 61%, and the amount of particulate matter was reduced by 18%. Measured engine power increased by 1.2% using the modified oil filter, which proves the success of this filter. There was a decrease in oil pressure as well, the value dropped by 0.5 bar during the whole period of the measuring process.
Słowa kluczowe
Rocznik
Tom
Strony
237--245
Opis fizyczny
Bibliogr. 16 poz.
Twórcy
  • Faculty of Mechanical Engineering, Technical university of Košice, Letná 9,04001 Košice, Slovakia
  • Faculty of Mechanical Engineering, Technical university of Košice, Letná 9,04001 Košice, Slovakia
  • Faculty of Mining, Ecology, Process Control and Geotechnology, Technical university of Košice, Park Komenského 19, 040 01 Košice, Slovakia
Bibliografia
  • 1. Kučera Pavel, Václav Píštek. 2014. “Virtual prototype of a heavy duty off-road truck driveline in Simulink software”. In: Proceeding of International Conference Transport Means. Transport Means. K. Donelaičio st. 73, LT-44029 Kaunas: Kaunas University of Technology. P. 5-8. ISSN: 1822-296X.
  • 2. Chríbik Andrej, Marián Polóni, Matej Minárik, Radivoje Mitrovic, Zarko Miskovic. 2019. “The Effect of Inert Gas in the Mixture with Natural Gas on the Parameters of the Combustion Engine”. Computational and Experimental Approaches in Materials Science and Engineering: 410-426. DOI: https://doi.org/10.1007/978-3-030-30853-7_24.
  • 3. Czech Piotr. 2013. “Diagnose Car Engine Exhaust System Damage Using Bispectral Analysis and Radial Basic Function”. Advances in Intelligent Systems Research 30: 312-315. DOI: https://doi.org/10.2991/iccnce.2013.78. Atlantis Press. ISBN: 978-90-78677-67-3. ISSN: 1951-6851. In: Zheng D., Shi J., Zhang L. (eds), Proceedings of the International Conference on Computer, Networks and Communication Engineering (ICCNCE), Beijing, China, May 23-24, 2013.
  • 4. Czech Piotr. 2013. “Diagnosing a Car Engine Fuel Injectors’ Damage”. Communications in Computer and Information Science 395: 243-250. DOI: https://doi.org/10.1007/978-3-642-41647-7_30. Springer, Berlin, Heidelberg. ISBN: 978-3-642-41646-0; 978-3-642-41647-7. ISSN: 1865-0929. In: Mikulski Jerzy (eds), Activities of transport telematics, 13th International Conference on Transport Systems Telematics, Katowice Ustron, Poland, October 23-26, 2013.
  • 5. Liaposhchenko Oleksandr, Ivan Pavlenko, Vitalii Ivanov, Maryna Demianenko, Oleksandr Starynskyi, Ivan Kuric, Oleg Khukhryanskiy. 2019. “Improvement of Parameters for the Multi-Functional Oil-Gas Separator of ‘Heater-Treater’ Type”. IEEE 6th International Conference on Industrial Engineering and Applications (ICIEA). DOI: https://doi.org/10.1109/iea.2019.8715203.
  • 6. Czech Piotr. 2011. “An Intelligent Approach to Wear of Piston-Cylinder Assembly Diagnosis Based on Entropy of Wavelet Packet and Probabilistic Neural Networks”. Communications in Computer and Information Science 239: 102-109. DOI: https://doi.org/10.1007/978-3-642-24660-9_12. Springer, Berlin, Heidelberg. ISBN: 978-3-642-24659-3. ISSN: 1865-0929. In: Mikulski Jerzy (eds), Modern transport telematics, 11th International Conference on Transport Systems Telematics, Katowice Ustron, Poland, October 19-22, 2011.
  • 7. Pistek Vaclav, Lubomir Klimes, Tomas Mauder, Pavel Kucera. 2017. “Optimal Design of Structure in Rheological Models: An Automotive Application to Dampers with High Viscosity Silicone Fluids”. Journal of Vibroengineering 19(6): 4459-4470. DOI: https://doi.org/10.21595/jve.2017.18348.
  • 8. Polóni Marián, Andrej Chríbik. 2020. “Low-Energy Synthesis Gases from Waste as Energy Source for Internal Combustion Engine”. SAE International Journal of Engines 13(5). DOI: https://doi.org/10.4271/03-13-05-0040.
  • 9. Marcin Staniek, Piotr Czech. 2018. “Self-Correcting Neural Network in Road Pavement Diagnostics”. Automation in Construction 96: 75-87. DOI: https://doi.org/10.1016/j.autcon.2018.09.001.
  • 10. Puškár Michal, Peter Bigoš. 2013. “Measuring of Accoustic Wave Influences Generated at Various Configurations of Racing Engine Inlet and Exhaust System on Brake Mean Effective Pressure”. Measurement 46,(9): 3389-3400. DOI: https://doi.org/10.1016/j.measurement.2013.05.008.
  • 11. Murčinková Zuzana, Jozef Živčák, Jozef Zajac. 2020. “Experimental Study of Parameters Influencing the Damping of Particulate, Fibre-Reinforced, Hybrid, and Sandwich Composites”. International Journal of Materials Research 111(8): 688-697. DOI: https://doi.org/10.3139/146.111933.
  • 12. Puškár Michal, Andrej Jahnátek, Jaroslava Kádárová, Marieta Šoltésová, Ľudovít Kovanič, Jana Krivosudská. 2018. “Environmental Study Focused on the Suitability of Vehicle Certifications Using the New European Driving Cycle (NEDC) with Regard to the Affair ‘Dieselgate’ and the Risks of Nox Emissions in Urban Destinations”. Air Quality, Atmosphere & Health 12(2): 251-257. DOI: https://doi.org/10.1007/s11869-018-0646-5.
  • 13. Pinosová Miriama, Miriam Andrejiová, Ervin Lumnitzer. 2018. “Synergistic effect of risk factors and work environmental quality”. Qual.-Access to Success 19: 154-159.
  • 14. Sabol R., P. Klein, T. Ryba, L. Hvizdos, R. Varga, M. Rovnak, I. Sulla, et al. 2017. “Novel Applications of Bistable Magnetic Microwires”. Acta Physica Polonica A 131(4): 1150-1152. DOI: https://doi.org/10.12693/aphyspola.131.1150.
  • 15. Pavlenko Ivan, Milan Saga, Ivan Kuric, Alexey Kotliar, Yevheniia Basova, Justyna Trojanowska, Vitalii Ivanov. 2020. “Parameter Identification of Cutting Forces in Crankshaft Grinding Using Artificial Neural Networks”. Materials 13(23): 5357. DOI: https://doi.org/10.3390/ma13235357.
  • 16. Sága Milan, Vladimír Bulej, Nadežda Čuboňova, Ivan Kuric, Ivan Virgala, Manfred Eberth. 2020. “Case Study: Performance Analysis and Development of Robotized Screwing Application with Integrated Vision Sensing System for Automotive Industry”. International Journal of Advanced Robotic Systems 17(3). DOI: https://doi.org/10.1177/1729881420923997
Uwagi
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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-4d0f7268-c0b2-4c36-8c31-8c0b51b82932
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