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STEADY STATE PERFORMANCES ANALYSIS OF MODERN MARINE TWO-STROKE LOW SPEED DIESEL ENGINE USING MLP NEURAL NETWORK MODEL

Ozren Bukovac   ORCID icon orcid.org/0000-0002-4388-0234 ; Faculty of Engineering, University of Rijeka, Vukovarska 58, 51000 Rijeka
Vladimir Medica ; Faculty of Engineering, University of Rijeka, Vukovarska 58, 51000 Rijeka
Vedran Mrzljak   ORCID icon orcid.org/0000-0003-0323-2600 ; Faculty of Engineering, University of Rijeka, Vukovarska 58, 51000 Rijeka

Puni tekst: engleski, pdf (899 KB) str. 57-70 preuzimanja: 388* citiraj
APA 6th Edition
Bukovac, O., Medica, V. i Mrzljak, V. (2015). STEADY STATE PERFORMANCES ANALYSIS OF MODERN MARINE TWO-STROKE LOW SPEED DIESEL ENGINE USING MLP NEURAL NETWORK MODEL. Brodogradnja, 66 (4), 57-70. Preuzeto s https://hrcak.srce.hr/149804
MLA 8th Edition
Bukovac, Ozren, et al. "STEADY STATE PERFORMANCES ANALYSIS OF MODERN MARINE TWO-STROKE LOW SPEED DIESEL ENGINE USING MLP NEURAL NETWORK MODEL." Brodogradnja, vol. 66, br. 4, 2015, str. 57-70. https://hrcak.srce.hr/149804. Citirano 25.01.2020.
Chicago 17th Edition
Bukovac, Ozren, Vladimir Medica i Vedran Mrzljak. "STEADY STATE PERFORMANCES ANALYSIS OF MODERN MARINE TWO-STROKE LOW SPEED DIESEL ENGINE USING MLP NEURAL NETWORK MODEL." Brodogradnja 66, br. 4 (2015): 57-70. https://hrcak.srce.hr/149804
Harvard
Bukovac, O., Medica, V., i Mrzljak, V. (2015). 'STEADY STATE PERFORMANCES ANALYSIS OF MODERN MARINE TWO-STROKE LOW SPEED DIESEL ENGINE USING MLP NEURAL NETWORK MODEL', Brodogradnja, 66(4), str. 57-70. Preuzeto s: https://hrcak.srce.hr/149804 (Datum pristupa: 25.01.2020.)
Vancouver
Bukovac O, Medica V, Mrzljak V. STEADY STATE PERFORMANCES ANALYSIS OF MODERN MARINE TWO-STROKE LOW SPEED DIESEL ENGINE USING MLP NEURAL NETWORK MODEL. Brodogradnja [Internet]. 2015 [pristupljeno 25.01.2020.];66(4):57-70. Dostupno na: https://hrcak.srce.hr/149804
IEEE
O. Bukovac, V. Medica i V. Mrzljak, "STEADY STATE PERFORMANCES ANALYSIS OF MODERN MARINE TWO-STROKE LOW SPEED DIESEL ENGINE USING MLP NEURAL NETWORK MODEL", Brodogradnja, vol.66, br. 4, str. 57-70, 2015. [Online]. Dostupno na: https://hrcak.srce.hr/149804. [Citirano: 25.01.2020.]

Sažetak
Compared to the other marine engines for ship propulsion, turbocharged two-stroke low speed diesel engines have advantages due to their high efficiency and reliability. Modern low speed ”intelligent” marine diesel engines have a flexibility in its operation due to the variable fuel injection strategy and management of the exhaust valve drive. This paper carried out verified zerodimensional numerical simulations which have been used for MLP (Multilayer Perceptron) neural network predictions of marine two-stroke low speed diesel engine steady state performances. The developed MLP neural network was used for marine engine optimized operation control. The paper presents an example of achieving lowest specific fuel consumption and for minimization of the cylinder process highest temperature for reducing NOx emission. Also, the developed neural network was used to achieve optimal exhaust gases heat flow for utilization. The obtained data maps give insight into the optimal working areas of simulated marine diesel engine, depending on the selected start of the fuel injection (SOI) and the time of the exhaust valve opening (EVO).

Ključne riječi
Marine two-stroke diesel engine; MLP neural network; Numerical simulation; Utilization; Start of fuel injection; Time of exhaust valve open

Hrčak ID: 149804

URI
https://hrcak.srce.hr/149804

Posjeta: 669 *