Estimation of heat transfer in oscillating annular flow using artifical neural networks

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dc.authoridAkdag, Unal -- 0000-0002-1149-7425
dc.contributor.authorAkdağ, Ünal
dc.contributor.authorKömür, M. Aydın
dc.contributor.authorÖzgüç, A. Feridun
dc.date.accessioned13.07.201910:50:10
dc.date.accessioned2019-07-29T19:26:41Z
dc.date.available13.07.201910:50:10
dc.date.available2019-07-29T19:26:41Z
dc.date.issued2009
dc.departmentMühendislik Fakültesi
dc.description.abstractIn this study, the prediction of heat transfer from a surface having constant heat flux subjected to oscillating annular flow is investigated using artificial neural networks (ANNs). An experimental study is carried out to estimate the heat transfer characteristics as a function of some input parameters, namely frequency, amplitude, heat flux and filling heights. In the experiments, a piston cylinder mechanism is used to generate an oscillating flow in a liquid column at certain frequency and amplitude. The cycle-averaged values are considered in the calculation of heat transfer using the control volume approach. An experimentally evaluated data set is prepared to be processed with the use of neural networks. Back propagation algorithm, the most common learning method for ANNs, is used for training and testing the network. Results of the experiments and the ANN are in close agreements with errors less than 5%. The study showed that the ANNs could be used effectively for modeling oscillating flow heat transfer in a vertical annular duct. (C) 2009 Elsevier Ltd. All rights reserved.
dc.identifier.doi10.1016/j.advengsoft.2009.01.010
dc.identifier.endpage870en_US
dc.identifier.issn0965-9978
dc.identifier.issue9en_US
dc.identifier.scopusqualityQ1
dc.identifier.startpage864en_US
dc.identifier.urihttps://doi.org/10.1016/j.advengsoft.2009.01.010
dc.identifier.urihttps://hdl.handle.net/20.500.12451/5677
dc.identifier.volume40en_US
dc.identifier.wosWOS:000266787100014
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherElsevier
dc.relation.ispartofAdvances in Engineering Software
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectArtificial Neural Network
dc.subjectOscillating Flow
dc.subjectHeat Transfer
dc.subjectAnnular Duct
dc.titleEstimation of heat transfer in oscillating annular flow using artifical neural networks
dc.typeArticle

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