Marine diesel engines operating cycle simulation for diagnostics issues

Authors

  • Dmytro S. Minchev National University of Shipbuilding, Internal Combustion Engines, Plants and Technical Maintenance Department, Heroyiv Ukrayiny ave., 9, 54025 Mykolaiv, Ukraine
  • Roman A. Varbanets Odessa National Maritime University, Marine Engineering Department, 34 Mechnikov Str., 65029 Odessa, Ukraine
  • Nadiya I. Alexandrovskaya Odessa National Maritime University, Marine Engineering Department, 34 Mechnikov Str., 65029 Odessa, Ukraine
  • Ludmila V. Pisintsaly Odessa National Maritime University, Marine Engineering Department, 34 Mechnikov Str., 65029 Odessa, Ukraine

DOI:

https://doi.org/10.14311/AP.2021.61.0435

Keywords:

Mathematical simulation, valve train, fuel injection, mathematical-based diagnostics.

Abstract

The ongoing monitoring of marine diesel engines helps to detect the deviations of its parameters early and prevent major failures. But the experimental diagnostics data are generally limited, so frequently, it isn’t possible to get all the necessary information to make a clear decision. The mathematical simulation could be used to clarify the experimental data and to provide a deeper understanding of engine conditions. In this paper, the MAN 6L80MCE marine diesel engine of “Father S” bulk carrier diagnostics issues are considered. The diagnostics data were collected with DEPAS Handy equipment and present the information about indicated processes by every engine cylinder. The on-line resource Blitz-PRO was used for the simulation of the engine operation and helped to prove that the variation in exhaust valve’s closing timing is responsible for the observed compression pressure difference, while the irregularity in fuel injection causes the considerable difference in the maximum pressure.

References

A. Agarwal, J. Gupta, N. Sharma, A. Singh. Model-Based Fault Detection on Modern Automotive Engines. In: Advanced Engine Diagnostics. Energy, Environment, and Sustainability. Springer, Singapore, 2019. https://doi.org/10.1007/978-981-13-3275-3_9.

S. Simani, C. Fantuzzi, R. Patton. Model-Based Fault Diagnosis Techniques. In: Model-based Fault Diagnosis in Dynamic Systems Using Identification Techniques. Advances in Industrial Control. Springer, London, 2003. https://doi.org/10.1007/978-1-4471-3829-7_2.

P. Kucera, V. Píštek, A. Prokop, K. Rehák. Measurement of the powertrain torque. engineering mechanics proceedings 24:449–452, 2018. https://doi.org/10.21495/91-8-449.

R. Varbanets, O. Fomin, V. Píštek, et al. Acoustic method for estimation of marine low-speed engine turbocharger parameters. Journal of Marine Science and Engineering 9(3), 2021. https://doi.org/10.3390/jmse9030321.

P. Novotny, V. Pistek, L. Drapal, et al. Efficient approach for solution of the mechanical losses of the piston ring pack. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 227(10):1377–1388, 2013. https://doi.org/10.1177/0954407013495187.

J. Desantes, J. Lopez, J. Garcia-Oliver, L. Hernández. Application of Neural Networks for Prediction and Optimization of Exhaust Emissions in a H.D. Diesel Engine. Springer, London, 2002. https://doi.org/10.4271/2002-01-1144.

R. A. Varbanets, S. A. Karianskiy. Analyse of marine diesel engine performance. Journal of Polish CIMAC, Gdansk pp. 269–275, 2012.

S. Neumann, R. Varbanets, O. Kyrylash, et al. Marine diesels working cycle monitoring on the base of imes gmbh pressure sensors data. Diagnostyka 20(2):19–26, 2019. https://doi.org/10.29354/diag/104516.

R. A. Varbanets, V. I. Zalozh, A. V. Shakhov, et al. Determination of top dead centre location based on the marine diesel engine indicator diagram analysis. Diagnostyka 21(1):51–60, 2020. https://doi.org/10.29354/diag/116585.

D. S. Minchev. Blitz-pro. user’s manual, 2018. http://blitzpro.zeddmalam.com/application/index.

D. S. Minchev, A. V. Nagirnyi. Application of the computational mesh with variable time step for ice operating cycle synthesis. Herald of Aeroenginebuilding (1):32–38, 2017. https://doi.org/10.15588/1727-0219-2017-1-6.

G. Woschni. A universally applicable equation for the instantaneous heat transfer coefficient in the internal combustion engine. SAE Technical Paper pp. 3065–3083, 1967. https://doi.org/10.4271/670931.

N. F. Razleitsev. Modeling and Optimization of Combustion Procedure in Diesel Engines. Kharkov University Publishers, 1980.

M. D. . Turbo. Me-b.3 engines with variable exhaust valve timing. 2013, https://marine.man-es.com/docs/ librariesprovider6/mun/me-b-3-engines-with-variable-exhaust-valve-timing.pdf?sfvrsn=c2ddeaa2_13.

E. by Doug Woodyard. Pounder’s Marine Diesel Engines and Gas Turbines. Eighth edition. Elsevier Butterworth-Heinemann, 2004.

D. S. Minchev, Y. L. Moshentsev, A. V. Nagirnyi. Extrapolation of turbocharger radial turbine characteristics. Aerospace Engineering and Technology: National Aerospace University – “Kharkiv Aviation Institute” , NAU “KhAI” (10(87)):173–133, 2011. http://nti.khai.edu:57772/csp/nauchportal/Arhiv/AKTT/2011/AKTT1011/Minchev.pdf.

D. S. Minchev, Y. L. Moshentsev, A. V. Nagirnyi. Extrapolation of experimental centrifugal compressors maps. Proceedings of National University of Shipbuilding (4):89–98, 2011. https://docplayer.ru/ 28442566-Ekstrapolyaciya-eksperimentalnyh-harakteristik-centrobezhnyh-kompressorov.html.

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Published

2021-07-08

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