MODELING OF EXERGY EFFICIENCY PERFORMANCES OF COUNTER FLOW RANQUE-HILSCH VORTEX TUBES WITH DIFFERENT GEOMETRIC CONSTRUCTIONS USING ARTIFICIAL NEURAL NETWORKS

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dc.contributor.authorBerber, A.
dc.contributor.authorYilmaz, Y.
dc.contributor.authorDincer, K.
dc.contributor.authorOzen, D. N.
dc.contributor.authorBaskaya, S.
dc.date.accessioned2020-03-26T18:30:53Z
dc.date.available2020-03-26T18:30:53Z
dc.date.issued2012
dc.departmentSelçuk Üniversitesien_US
dc.description12h International Multidisciplinary Scientific Geoconference (SGEM) -- JUN 17-23, 2012 -- Albena, BULGARIAen_US
dc.description.abstractIn this experimental study, the exergy efficiency performances of counter flow type Ranque-Hilsch vortex tubes (RHVT), with a length to diameter ratio of 10-18, were investigated for RHVT made of aluminum, brass, and steel having the internal diameter (D) of 9 mm. Cross section of nozzle was 0.002x0.002 m(2) and the number of nozzles (Nn) was 3. Flow was controlled with a valve on the hot outlet side, and the valve at the hot outlet side was changed from a nearly closed position from its nearly open position. The exergy efficiency of RHVT for various L/D ratios (10-18) and various ksi values (0.1-0.9) were determined under 440 kPa pressurized air. As a new approach, this study proposes determining the exergy efficiency by using artificial neural networks (ANN). As ANN input parameters, L/D, ksi, total outlet exergy and total lost exergy were used, while the exergy efficiency was the output parameter. The actual values and ANN results show that ANN can be successfully used for the exergy efficiency performances of counterflow Ranque-Hilsch vortex tube.en_US
dc.description.sponsorshipMinist Environm & Water, Bulgarian Acad Sci, Acad Sci Czech Republ, Acad Sci IR Iran, Latvian Acad Sci, Polish Acad Sci, Russian Acad Sci, Serbian Acad Sci & Arts, Slovak Acad Sci, Natl Acad Sci Ukraine, Bulgarian Ind Assocen_US
dc.description.sponsorshipSelcuk UniversitySelcuk University [BAP 09401051]en_US
dc.description.sponsorshipFinancial support of this study by the research fund of the Selcuk University under Grant No. BAP 09401051 is gratefully acknowledged.en_US
dc.identifier.endpage+en_US
dc.identifier.issn1314-2704en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage563en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/28238
dc.identifier.wosWOS:000348535300073en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSTEF92 TECHNOLOGY LTDen_US
dc.relation.ispartof12TH INTERNATIONAL MULTIDISCIPLINARY SCIENTIFIC GEOCONFERENCE, SGEM 2012, VOL. IVen_US
dc.relation.ispartofseriesInternational Multidisciplinary Scientific GeoConference-SGEM
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectRanque-Hilsch vortex tubeen_US
dc.subjectheatingen_US
dc.subjectcoolingen_US
dc.subjecttemperature separationen_US
dc.subjectANNen_US
dc.titleMODELING OF EXERGY EFFICIENCY PERFORMANCES OF COUNTER FLOW RANQUE-HILSCH VORTEX TUBES WITH DIFFERENT GEOMETRIC CONSTRUCTIONS USING ARTIFICIAL NEURAL NETWORKSen_US
dc.typeConference Objecten_US

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