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Toplam kayıt 5, listelenen: 1-5
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. ...
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 ...
Risk ranking of maintenance activities in a two-stroke marine diesel engine via fuzzy AHP method
(Elsevier, 2021)
Maintenance activities in ship machineries are of vital importance due to economical and operational requirements. Most of ships in commercial activities have two-stroke marine diesel engines (MDEs) in the propulsion ...