Browsing by Author "Arcaklioglu, Erol"
Now showing items 1-13 of 13
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Application of ANN to explore the potential use of natural ventilation in buildings in Turkey
Ayata, Tahir; Arcaklioglu, Erol; Yildiz, Osman (Pergamon-Elsevier Science Ltd, 2007)Indoor natural ventilation provides both the circulation of clear air and the decrease of indoor temperature, especially, during hot summer days. In addition to openings, building dimensions and position play a significant ... -
Artificial neural network application to the friction-stir welding of aluminum plates
Okuyucu, Hasan; Kurt, Adem; Arcaklioglu, Erol (Elsevier Sci Ltd, 2007)An artificial neural network (ANN) model was developed for the analysis and simulation of the correlation between the friction stir welding (FSW) parameters of aluminium (Al) plates and mechanical properties. The input ... -
Calculation for the thermodynamic properties of an alternative refrigerant (R508b) using artificial neural network
Sozen, Adnan; Ozalp, Mehmet; Arcaklioglu, Erol (Pergamon-Elsevier Science Ltd, 2007)This study proposes a alternative approach based on artificial neural networks (ANNs) to determine the thermodynamic properties - specific volume, enthalpy and entropy - of an alternative refrigerant (R508b) for both ... -
Comparative study of mathematical and experimental analysis of spark ignition engine performance used ethanol-gasoline blend fuel
Serdar Yucesu, H.; Sozen, Adnan; Topgul, Tolga; Arcaklioglu, Erol (Pergamon-Elsevier Science Ltd, 2007)This study consists of two cases: (i) The experimental analysis: Ethanol obtained from biomass can be used as a fuel in spark ignition engines. As renewable energy source ethanol, due to the high octane number, low emissions ... -
Derivation of empirical equations for thermodynamic properties of a ozone safe refrigerant (R404a) using artificial neural network
Sozen, Adnan; Arcaklioglu, Erol; Menlik, Tayfun (Pergamon-Elsevier Science Ltd, 2010)This study, deals with the potential application of the artificial neural networks (ANNs) to represent PVTx (pressure-specific volume-temperature-vapor quality) data in the range of temperature of 173-498 K and pressure ... -
Determination of residual stresses based on heat treatment conditions and densities on a hybrid (FLN2-4405) powder metallurgy steel using artificial neural network
Kafkas, Firat; Karatas, Cetin; Sozen, Adnan; Arcaklioglu, Erol; Saritas, Sueleyman (Elsevier Sci Ltd, 2007)This paper presents a new approach based on artificial neural networks (ANNs) to determine the residual stresses in PM steel based nickel (FLN2-4405). This study consists of two cases: (i) The experimental analysis: The ... -
Exergy analysis of an ejector-absorption heat transformer using artificial neural network approach
Sozen, Adnan; Arcaklioglu, Erol (Pergamon-Elsevier Science Ltd, 2007)This paper proposes artificial neural networks (ANNs) technique as a new approach to determine the exergy losses of an ejector-absorption heat transformer (EAHT). Thermodynamic analysis of the EAHT is too complex due to ... -
Forecasting based on sectoral energy consumption of GHGs in Turkey and mitigation policies
Sozen, Adnan; Gulseven, Zafer; Arcaklioglu, Erol (Elsevier Sci Ltd, 2007)Recently, global warming and its effects have become one of the most important themes in the world. Under the Kyoto Protocol, the EU has agreed to an 8% reduction in its greenhouse gas (GHG) emissions by 2008-2012. The GHG ... -
Forecasting net energy consumption using artificial neural network
Soezen, Adnan; Akcayol, M. Ali; Arcaklioglu, Erol (Taylor & Francis Inc, 2006)The main goal of this study is to develop the equations for forecasting net energy consumption (NEC) using the artificial neural network (ANN) technique in order to determine the future level of the energy consumption in ... -
Modelling of yield length in the mould of commercial plastics using artificial neural networks
Karatas, Cetin; Sozen, Adnan; Arcaklioglu, Erol; Erguney, Sami (Elsevier Sci Ltd, 2007)According to the yield length of a plastic, whether a mould is filled fully or not can be estimated. In this study, a new formula based on various injection parameters was developed to determine the yield length in plastic ... -
The prediction of maximum temperature for single chips' cooling using artificial neural networks
Ozsunar, Abuzer; Arcaklioglu, Erol; Nusret Dur, F. (Springer, 2009)A CFD simulation usually requires extensive computer storage and lengthy computational time. The application of artificial neural network models to thermal management of chips is still limited. In this study, the main ... -
Prediction of net energy consumption based on economic indicators (GNP and GDP) in Turkey
Soezen, Adnan; Arcaklioglu, Erol (Elsevier Sci Ltd, 2007)The most important theme in this study is to obtain equations based on economic indicators (gross national product - GNP and gross domestic product - GDP) and population increase to predict the net energy consumption of ... -
Predictions of temperature distributions on layered metal plates using artificial neural networks
Ayata, Tahir; Cavusoglu, Abdullah; Arcaklioglu, Erol (Pergamon-Elsevier Science Ltd, 2006)The temperature distribution influences the amount of energy needed to heat a body. The benefits of using multi-layered metal plates (NIMP) are due to the requirement of a regular temperature distribution on the opposite ...