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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 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 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 ...
Novel decision-making strategy for working fluid selection in Organic Rankine Cycle: A case study for waste heat recovery of a marine diesel engine
(Elsevier, 2022)
The Organic Rankine Cycle (ORC) is receiving increasing attention as a waste heat recovery system. However, it is still a major challenge to quickly and practically choose the appropriate one among dozens of working fluids, ...
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 ...