Analyzing of thermal mixing phenomena in a rectangular channel with twin jets by using artificial neural network

dc.authoridVarol, Yasin/0000-0003-2989-7125
dc.authoridUYAR, Murat/0000-0001-7243-7939
dc.contributor.authorKok, Besir
dc.contributor.authorUyar, Murat
dc.contributor.authorVarol, Yasin
dc.contributor.authorKoca, Ahmet
dc.contributor.authorOztop, Hakan F.
dc.date.accessioned2024-12-24T19:27:31Z
dc.date.available2024-12-24T19:27:31Z
dc.date.issued2013
dc.departmentSiirt Üniversitesi
dc.description.abstractIn this study, an experimental investigation was carried out to analyze the thermal mixing phenomena in a rectangular cross-section narrow channel. The channel has two circular water jet inlets, in different temperatures and a circular exit hole to supply continuity of mass. Several parameters were used in the experiments to control thermal mixing efficiency such as inclination angle of the channel, ratio of flow rate of inlet fluid, temperature difference between hot and cold jets and jet inlets diameters. Thermal mixing index was calculated from the measured temperatures. In order to reduce experimental time, an artificial neural network (ANN) model was built with limited number of measurements for a forward model. The obtained results indicated that estimation data of ANN shows that the ANN model can predict the output parameters without carry out any experiment. (C) 2013 Elsevier B.V. All rights reserved.
dc.description.sponsorshipFirat University scientific and research fund [1747]
dc.description.sponsorshipAuthors thank to Firat University scientific and research fund for their valuable financial support with a project number 1747.
dc.identifier.doi10.1016/j.nucengdes.2013.07.036
dc.identifier.endpage565
dc.identifier.issn0029-5493
dc.identifier.scopus2-s2.0-84886261998
dc.identifier.scopusqualityQ2
dc.identifier.startpage554
dc.identifier.urihttps://doi.org/10.1016/j.nucengdes.2013.07.036
dc.identifier.urihttps://hdl.handle.net/20.500.12604/6685
dc.identifier.volume265
dc.identifier.wosWOS:000330085500055
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherElsevier Science Sa
dc.relation.ispartofNuclear Engineering and Design
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241222
dc.titleAnalyzing of thermal mixing phenomena in a rectangular channel with twin jets by using artificial neural network
dc.typeArticle

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