Prediction of circular jet streams with artificial neural networks

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dc.contributor.authorEkmekçi, İsmail
dc.contributor.authorÖner, Hakkı
dc.contributor.authorŞen, Yaşar
dc.date.accessioned2020-11-21T15:57:00Z
dc.date.available2020-11-21T15:57:00Z
dc.date.issued2012en_US
dc.departmentİstanbul Ticaret Üniversitesien_US
dc.descriptionInternational Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2012 -- 2 July 2012 through 4 July 2012 -- Trabzon -- 92831en_US
dc.description.abstractIn this study, an ANN model was established by using experimental measurement values at low speed sub-audio level in an air tunnel of which length is 75cm and experiment room cross sections are 32cm x 32cm and model results were compared to experimental values and then, the prediction was made for unmeasured jet stream values. The jet stream at value of 30m/s in the wind tunnel is ensured with a compressor connected to the inlet of wind tunnel experiment room. The tunnel speed values of 0, 10 and 20m/s is ensured with a frequency converter axial fan by making suction in same direction with jet stream. In experimental studies, the jet speed in wind tunnel and radial speed diffusion measures are obtained with a hot wire anemometer enable to make two-dimension measure in the wind tunnel experiment room. In the experiment room, measurements are made with measurement stations located in four different distances. To establish the ANN model, the tunnel speed, length rate and radial distances were taken as an input, with these data, by training the ANN model, networks were established and the radial speed diffusions corresponding to these inputs were obtained as an output. With the data obtained from that network, experimental measurement was made and speed profiles in data ranges were predicted and compared to experimental results. To verify the predicted results, these values and experimental results were compared relatively on non-dimensional speed diffusion graphics. Additionally, similar speed diffusion values and non-dimensional speed diffusion graphics were obtained for 5 and 15m/s tunnel speeds without experimental measurements and comparative comments were made. © 2012 IEEE.en_US
dc.identifier.doi10.1109/INISTA.2012.6246982en_US
dc.identifier.isbn9781470000000
dc.identifier.scopus2-s2.0-84866627406en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1109/INISTA.2012.6246982
dc.identifier.urihttps://hdl.handle.net/11467/4205
dc.identifier.wosWOS:000304512900066en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.relation.ispartofINISTA 2012 - International Symposium on INnovations in Intelligent SysTems and Applicationsen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectArtificial Neural Networks (ANN)en_US
dc.subjecthot wire anemometeren_US
dc.subjectJet streamen_US
dc.subjectpredictionen_US
dc.subjectwind tunnelen_US
dc.titlePrediction of circular jet streams with artificial neural networksen_US
dc.typeConference Objecten_US

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