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Toplam kayıt 5, listelenen: 1-5
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 ...
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 ...
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 ...
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 ...