PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Diagnostic analysis of exhaust gas with a quickchanging temperature from a marine diesel engine part II / two factor analysis

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The article presents a continuation of research carried out to determine the effect of input parameters (changes in engine structure parameters) on selected output parameters (diagnostic measures), based on quickly changing exhaust gas temperature. A method of determining the simultaneous influence of two input factors (the structure parameter and the engine load) on one output factor was presented, as well as an evaluation of which of the analysed input factors has a stronger influence on the output parameter. The article presents the stages of the experimental research conducted and statistical inference based on the results. Three changing parameters for the structure were reviewed: the active cross-sectional area of the inlet air channel, the injector opening pressure and the compression ratio. Based on the quickly changing temperatures of the exhaust gases, three diagnostic measures were defined and subjected to statistical tests. The following data were averaged over one cycle for a 4-stroke engine operation: the intensity of changes, the specific enthalpy and the peak-to-peak value of the exhaust gas temperature. The results of the two-factor analysis are presented. Conclusions on the analysis are given and a criterion for the selection of a diagnostic measure, depending on the analysed parameter of the structural design of the diesel engine, is proposed. The previous part of the article presented the results of the first stage of the elimination study: the one-factor statistical analysis (randomised complete plan). This paper presents the results of the second stage of the studies: two-factor analysis (block randomised plan), where the significance of the effect of changing the values of the structural parameters on the diagnostic measures were analysed in the background of a variable engine load. The next (third) part will present the results of the calculations and analysis of the interaction coefficient of significance.
Rocznik
Tom
Strony
89--95
Opis fizyczny
Bibliogr. 20 poz., rys., tab.
Twórcy
  • Gdansk University of Technology, Institute of Naval Architecture, Poland
Bibliografia
  • 1. A. Borokov, Mathematical statistics. 2019.
  • 2. B.K. Debnath, N. Sahoo and U.K. Saha, ‘Thermodynamic analysis of variable compression ratio diesel engine running with palm oil methyl ester’, Energy Conversion and Management. 2013, https://doi.org/10.1016/j.enconman.2012.07.016.
  • 3. M. Ghaemi, ‘Performance and Emission Modelling and Simulation of Marine Diesel Engines using Publicly Available Engine Data’, Polish Maritime Research. 2021, https://doi. org/10.2478/pomr-2021-0050.
  • 4. J. Grochowalska, ‘Analysis of the macrostructure of the fuel spray atomized with marine engine injector’, Combustion Engines. 2019, doi:10.19206/CE-2019-413.
  • 5. M. Jesussek, ‘F distribution table.’ https://datatab.net/tutorial/ f-distribution (accessed 1.07.2023).
  • 6. O. Klyus, P. Rajewski, S. Lebedevas and S. Olszowski, ‘Determination of fuel atomization quality in compression ignition engines using acoustic emission signal’, Combustion Engines. 2022, doi:10.19206/CE-149370.
  • 7. Z. Korczewski, ‘Test Method for Determining the Chemical Emissions of a Marine Diesel Engine Exhaust in Operation’, Polish Maritime Research. 2021, https://doi.org/10.2478/ pomr-2021-0035.
  • 8. Z. Korczewski, ‘Endoscopic diagnostics of marine engines’, Diagnostyka. 2008, bwmeta1.element. baztech-article-BAR0-0038-0044.
  • 9. R. Krakowski, ‘Diagnosis modern systems of marine diesel engine’, Journal of KONES. 2014.
  • 10. A. Kuleshov, ‘Diesel-RK is an engine simulation tool.’ https:// diesel-rk.com/Eng/ (accessed 1.07.2023).
  • 11. M. Liang and M. Chen, ‘Monitoring the Performance of a Ship’s Main Engine Based on Big Data Technology’, Polish Maritime Research. 2022, https://doi.org/10.2478/ pomr-2022-0033.
  • 12. J. Monieta, ‘Selection of Diagnostic Symptoms and Injection Subsystems of Marine Reciprocating Internal Combustion Engines’, Applied Sciences. 2019, doi.org/10.3390/app9081540.
  • 13. V. Pham, ‘Research on the application of diesel-RK in the calculation and evaluation of technical and economic criteria of marine diesel engines using the unified ULSD and biodiesel blended fuel’, Journal of Mechanical Engineering Research and Developments. 2019, https://doi.org/10.26480/ jmerd.02.2019.87.97.
  • 14. P. Puzdrowska, ‘Determining the time constant using two methods and defining the thermocouple response to sine excitation of gas temperature’, Journal of Polish CIMEEAC. 2016.
  • 15. P. Puzdrowska, ‘Diagnostic information analysis of quickly changing temperature of exhaust gas from marine diesel engine part I single factor analysis’, Polish Maritime Research. 2021, https://doi.org/10.2478/pomr-2021-0052.
  • 16. P. Puzdrowska, ‘Signal filtering method of the fast-varying diesel exhaust gas temperature’, Combustion Engines. 2018, doi: 10.19206/CE-2018-407.
  • 17. R. Varbanets, O. Shumylo, A. Marchenko, D. Minchev, V. Kyrnats, V. Zalozh, N. Aleksandrovska, R. Brusnyk and K. Volovyk, ‘Concept of Vibroacoustic Diagnostics of the Fuel Injection and Electronic Cylinder Lubrication Systems of Marine Diesel Engines’, Polish Maritime Research. 2022, https://doi.org/10.2478/pomr-2022-0046.
  • 18. M. Verbeek, A guide to modern econometrics. 2017.
  • 19. K. Witkowski, ‘The Increase of Operational Safety of Ships by Improving Diagnostic Methods for Marine Diesel Engine’, TransNav the International Journal on Marine Navigation and Safety of Sea Transportation. 2017, doi:10.12716/1001.11.02.15.
  • 20. P. Woś, A. Jaworski, H. Kuszewski, K. Lejda and A. Ustrzycki, ‘Technical and operating problems yielded from setting up the optimum value of geometric compression ratio in piston engines’, Combustion Engines. 2016, doi:10.19206/ CE-116483.
Uwagi
PL
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-31bfa826-6a35-4e2c-84ca-35d8c7898ff8
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.