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Toplam kayıt 20, listelenen: 1-10
Determination of appropriate axial vibration dampers for a naval vessel driven by CODAG propulsion
(International University of Sarajevo, 2017)
The objective of this study is to reduce the vibration oscillations on a naval vessel propulsion system driven by CODAG. Within vibration analysis of the system firstly; physical model of the naval ship's propulsion system ...
Bütanol-Diesel yakıtı kullanılan bir sıkıştırma ateşlemeli motorda motor performansı ve egzoz emisyonlarının yapay sinir ağları ile tahmini
(2018)
Bu çalışmada saf Diesel yakıtı ve 5 farklı bütanol-Diesel yakıtkarışımları (%3, 6, 9, 12 ve 15) kullanılan bir Diesel motorunda (SA)farklı devir sayılarında ve tam yük durumunda motor performansı veegzoz emisyonları yapay ...
Crankcase explosion for two-stroke marine diesel engine by using fault tree analysis method in fuzzy environment
(Elsevier, 2019)
The purpose of this study is to investigate crankcase explosion in two-stroke marine diesel engine systematically by using fault tree analysis method in fuzzy environment for system reliability and shipping sustainability. ...
A comparative thermo-ecological performance analysis of generalized irreversible solar-driven heat engines
(Elsevier, 2017)
In this study, an analysis based upon thermo-ecology criteria has been performed for an irreversible solar-driven heat engine. In the conceived heat engine, heat is transferred by using simultaneous radiation and convection ...
Prediction of engine performance and exhaust emissions using artificial neural network in a compression ignition engine fueled with butanol-diesel fuel
(Pamukkale Unıversity, 2018)
In this study, engine performance and exhaust emission of a Diesel engine (CI) at full load and various speeds conditions using only Diesel fuel and five different blends with butanol (3, 6, 9, 12 and 15 v/v %) were modeled ...
Prediction of main particulars of a chemical tanker at preliminary ship design using artificial neural network
(Taylor and Francis Ltd., 2018)
Preliminary ship design is an important part of the ship design and a reliable design tool is needed for this stage. The aim of this study was to develop an artificial neural network (ANN) model to predict main particulars ...
A theoretical performance investigation of irreversible internal combustion engine named as Dual-Miller Cycle
(Yildiz Technical Univ, 2020)
Internal combustion engines (ICEs) have harmful effects on the environment in terms of emissions. According to present emission regulations, reducing NOx emissions came into prominence. One of the techniques of reducing ...
Prediction of cyclic variability in a diesel engine fueled with n-butanol and diesel fuel blends using artificial neural network
(Elsevier, 2018)
In this study, the cyclic variability of a diesel engine using diesel fuel and butanol diesel fuel blends is modeled using an artificial neural network (ANN) method. The engine was operated with ten different engine speeds ...
Experimental investigation on cyclic variability, engine performance, and exhaust emissions in a diesel engine using alcohol-diesel fuel blends
(Serbian Society of Heat Transfer Engineers, 2017)
This paper investigates the impacts of using n-butanol-diesel fuel and ethanol-diesel fuel blends on engine performance, exhaust emission, and cycle-by-cycle variation in a Diesel engine. The engine was operated at two ...
Forecasting the Baltic Dry Index by using an artificial neural network approach
(TÜBİTAK Scientific & Technical Research Council Turkey, 2018)
The Baltic Dry Index (BDI) is a robust indicator in the shipping sector in terms of global economic activities, future world trade, transport capacity, freight rates, ship demand, ship orders, etc. It is hard to forecast ...