Yazar "Altın, İsmail" için listeleme
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Bütanol-Diesel yakıtı kullanılan bir sıkıştırma ateşlemeli motorda motor performansı ve egzoz emisyonlarının yapay sinir ağları ile tahmini
Gürgen, Samet; Altın, İsmail (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 ... -
A comprehensive investigation into the performance of genetic algorithm for effective shipyard topological layout
Türk, Abdullah; Gürgen, Samet; Özkök, Murat; Altın, İsmail (SAGE Publications, 2022)Shipyards have large departments or facilities. It is essential to make an effective topological layout plan since the initial investment cost of these departments is high. Topological layout is an optimization problem and ... -
A comprehensive performance analysis of meta-heuristic optimization techniques for effective organic rankine cycle design
Gürgen, Samet; Kahraman, Hamdi Tolga; Aras, Sefa; Altın, İsmail (Elsevier, 2022)Optimizing the operating parameters is of great importance to improve Organic Rankine Cycle (ORC) system efficiency. Nowadays, meta-heuristic algorithms are widely used to obtain fast and effective solutions. However, it ... -
Crankcase explosion for two-stroke marine diesel engine by using fault tree analysis method in fuzzy environment
Ünver, Bedir; Gürgen, Samet; Şahin, Bekir; Altın, İsmail (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. ... -
Dizel Motorlarda Bütanol-Dizel Yakıt Karışımı Kullanılmasının Çevrimsel Farklara Etkisinin Araştırılması
Gürgen, Samet; Altın, İsmail (İskenderun Teknik Üniversitesi, 2020)Bu çalışmada dizel motorlarında bütanol-dizel yakıt karşımı kullanılmasının çevrimsel farklara etkisi incelenmiştir. Motor performansını ve egzoz emisyonlarını olumsuz yönde etkileyen çevrimsel farklılık, hem maksimum ... -
Experimental investigation on cyclic variability, engine performance, and exhaust emissions in a diesel engine using alcohol-diesel fuel blends
Gürgen, Samet; Ünver, Bedir; Altın, İsmail (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
Şahin, Bekir; Gürgen, Samet; Ünver, Bedir; Altın, İsmail (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 ... -
Investigation of the Effect of the Regenerative Organic Rankine Cycle System on Decarbonization for a Bulk Carrier
Gürgen, Samet; Altın, İsmail (Ordu Üniversitesi, 2022)Shipping has a very important share in world trade. However, it has an inevitable effect on global greenhouse gas emissions. Therefore, there is a great motivation for the reduction of fuel consumption and exhaust emissions. ... -
Novel decision-making strategy for working fluid selection in Organic Rankine Cycle: A case study for waste heat recovery of a marine diesel engine
Gürgen, Samet; Altın, İsmail (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, ... -
Prediction of cyclic variability in a diesel engine fueled with n-butanol and diesel fuel blends using artificial neural network
Gürgen, Samet; Ünver, Bedir; Altın, İsmail (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 ... -
Prediction of engine performance and exhaust emissions using artificial neural network in a compression ignition engine fueled with butanol-diesel fuel
Gürgen, Samet; Altın, İsmail (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
Gürgen, Samet; Altın, İsmail; Özkök, Murat (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 ... -
Risk ranking of maintenance activities in a two-stroke marine diesel engine via fuzzy AHP method
Ünver, Bedir; Altın, İsmail; Gürgen, Samet (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 ...
