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Toplam kayıt 3, listelenen: 1-3
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 ...
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 ...