Modeling of the effects of length to diameter ratio and nozzle number on the performance of counterflow Ranque-Hilsch vortex tubes using artificial neural networks

Basit Öğe Kaydı
dc.contributor.authorDincer, K.
dc.contributor.authorTasdemir, S.
dc.contributor.authorBaskaya, S.
dc.contributor.authorUysal, B. Z.
dc.date.accessioned2020-03-26T17:27:16Z
dc.date.available2020-03-26T17:27:16Z
dc.date.issued2008
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractIn this study, the effect of length to diameter ratio and nozzle number on the performance of a counterflow Ranque-Hilsch vortex tube has been modeled with artificial neural networks (ANN), by using experimental data. In the modeling, experimental data, which were obtained from experimental studies in a laboratory environment have been used. ANN has been designed by MATLAB 6.5 NN toolbox software in a computer environment working with Windows XP operating system and Pentium 4 2.4 GHz hardware. In the developed system outlet parameter Delta T has been determined using inlet parameters P, L/D, N and xi. When experimental data and results obtained from ANN are compared by statistical independent t-test in SPSS. it was determined that both groups of data are consistent with each other for P > 0.05 confidence interval, and differences were statistically not significant. Hence, ANN can be used Lis a reliable modeling method for similar Studies. (C) 2008 Elsevier Ltd. All rights reserved.en_US
dc.description.sponsorshipSelcuk UniversitySelcuk University [2002/124]en_US
dc.description.sponsorshipFinancial Support of this study by the research fund of the Selcuk University under Grant No. 2002/124 is gratefully acknowledgeden_US
dc.identifier.doi10.1016/j.applthermaleng.2008.01.016en_US
dc.identifier.endpage2390en_US
dc.identifier.issn1359-4311en_US
dc.identifier.issue17-18en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage2380en_US
dc.identifier.urihttps://dx.doi.org/10.1016/j.applthermaleng.2008.01.016
dc.identifier.urihttps://hdl.handle.net/20.500.12395/22519
dc.identifier.volume28en_US
dc.identifier.wosWOS:000259881700029en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherPERGAMON-ELSEVIER SCIENCE LTDen_US
dc.relation.ispartofAPPLIED THERMAL ENGINEERINGen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectRanque-Hilsch vortex tubeen_US
dc.subjectPerformanceen_US
dc.subjectArtificial neural networken_US
dc.titleModeling of the effects of length to diameter ratio and nozzle number on the performance of counterflow Ranque-Hilsch vortex tubes using artificial neural networksen_US
dc.typeArticleen_US

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu