Ara
Toplam kayıt 55, listelenen: 11-20
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 ...
A new method for calculating fuel consumption and displacement of a ship in maritime transport
(Taylor & Francis AS, 2017)
Fuel consumption is the most important parameter which is effected by the petrol prices. Optimization of the sailing speed decreases the fuel cost because it is proportional to the sailing speed. In this study, the present ...
Aircraft selection by applying AHP and TOPSIS in interval type-2 fuzzy sets
(Elsevier, 2020)
The selection of the appropriate aircraft can bring competitive advantages to airlines, however, there are a number of factors which introduce a degree of uncertainty to the selection process. By removing this uncertainty, ...
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 ...
A value chain analysis of a seaport from the perspective of Industry 4.0
(Inderscience Publishers, 2020)
The main aim of this study is to reveal the role and contribution of Industry 4.0 in the value chain of seaports. It first reviews the literature to identify value chain activities in the port industry. It then explores ...
Isoflurane versus sevoflurane for early brain injury and expression of sphingosine kinase 1 after experimental subarachnoid hemorrhage
(Elsevier Ireland, 2020)
The first step to treat aneurysmal subarachnoid hemorrhage (SAH) is aneurysmal obliteration under general anesthesia but not treat the SAH itself and the secondary effects. However, the identification of anesthetics with ...
Thermodynamic Analysis and Multi-Objective Optimization of Solar Heat Engines
(Springer, 2020)
Detailed performance analysis for a thermal system using a generalized irreversible solar-driven heat engine model is performed. The heat engine (HE) model is formed by the first and the second laws of thermodynamics and ...
An explanatory approach to assess resilience: An evaluation of competitive priorities for logistics organizations
(Elsevier, 2021)
The aim of this study is to analyze social media messages, specifically tweets from logistics organizations and retweets of their customers regarding competitive priorities that create a sustainable competitive advantage ...
Information sources used by charterers to select shipowners
(Inderscience Publishers, 2021)
This study aims to identify the information search behaviour of charterers in selecting shipowners within a business-to-business framework. It focuses on charterers' information sources and how different factors (individual, ...