Application of the output dependent feature scaling in modeling and prediction of performance of counter flow vortex tube having various nozzles numbers at different inlet pressures of air, oxygen, nitrogen and argon

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dc.authorid0000-0001-7076-1911en_US
dc.authorid0000-0003-1840-9958en_US
dc.contributor.authorPolat, Kemal
dc.contributor.authorKırmacı, Volkan
dc.date.accessioned2021-06-23T19:27:45Z
dc.date.available2021-06-23T19:27:45Z
dc.date.issued2011
dc.departmentBAİBÜ, Mühendislik Fakültesi, Elektrik Elektronik Mühendisliği Bölümüen_US
dc.description23rd IIR International Congress of Refrigeration -- AUG 21-26, 2011 -- Prague, CZECH REPUBLICen_US
dc.description.abstractIn this study, the performance of the counter flow type vortex tube with the input parameters including the nozzle number (N), the densities of inlet gases (air, oxygen, nitrogen, and argon) and the inlet pressure (P-inlet) has been modeled with the proposed hybrid method combining a novel data preprocessing called output dependent feature scaling (ODFS) and adaptive network based fuzzy inference system (ANFIS) by using the experimentally obtained data. In the developed system, output parameter temperature gradient between the cold and hot outlets has been determined using input parameters comprising (P-inlet), (N), and the density of gases. In order to evaluate the performance of hybrid method, the mean absolute error (MAE), mean square error (MSE), root mean square error (RMSE), determination coefficient (R-2), and Index of Agreement (IA) values have been used. The obtained results are 9.0670e-004 (MAE), 5.8563e-006 (MSE), 0.0024 (RMSE), 1.00 (R-2), and 1.00 (IA) using the hybrid method. (C) 2011 Elsevier Ltd and IIR. All rights reserved.en_US
dc.identifier.doi10.1016/j.ijrefrig.2011.03.019
dc.identifier.endpage1397en_US
dc.identifier.issn0140-7007
dc.identifier.issn1879-2081
dc.identifier.issue6en_US
dc.identifier.scopus2-s2.0-79961031372en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage1387en_US
dc.identifier.urihttps://doi.org/10.1016/j.ijrefrig.2011.03.019
dc.identifier.urihttps://hdl.handle.net/20.500.12491/6883
dc.identifier.volume34en_US
dc.identifier.wosWOS:000294398000008en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorPolat, Kemal
dc.language.isoenen_US
dc.publisherElsevier Sci Ltden_US
dc.relation.ispartofInternational Journal Of Refrigeration-Revue Internationale Du Froiden_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectVortex tubeen_US
dc.subjectHeatingen_US
dc.subjectCoolingen_US
dc.subjectModelingen_US
dc.subjectNeural Networksen_US
dc.subjectFuzzy Logizen_US
dc.titleApplication of the output dependent feature scaling in modeling and prediction of performance of counter flow vortex tube having various nozzles numbers at different inlet pressures of air, oxygen, nitrogen and argonen_US
dc.typeConference Objecten_US

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