Prediction of thermal conductivity of ethylene glycol-water solutions by using artificial neural networks

Basit Öğe Kaydı
dc.contributor.authorKurt, Hueseyin
dc.contributor.authorKayfeci, Muhammet
dc.date.accessioned2024-09-29T15:54:57Z
dc.date.available2024-09-29T15:54:57Z
dc.date.issued2009
dc.departmentKarabük Üniversitesien_US
dc.description.abstractThe objective of this study is to develop an artificial neural network (ANN) model to predict the thermal conductivity of ethylene glycol-water solutions based on experimentally measured variables. The thermal conductivity of solutions at different concentrations and various temperatures was measured using the cylindrical cell method that physical properties of the solution are being determined fills the annular space between two concentric cylinders. During the experiment, heat flows in the radial direction outwards through the test liquid filled in the annual gap to cooling water. In the steady state, conduction inside the cell was described by the Fourier equation in cylindrical coordinates, with boundary conditions corresponding to heat transfer between the solution and cooling water. The performance of ANN was evaluated by a regression analysis between the predicted and the experimental values. The ANN predictions yield R 2 in the range of 0.9999 and MAPE in the range of 0.7984% for the test data set. The regression analysis indicated that the ANN model can successfully be used for the prediction of the thermal conductivity of ethylene glycol-water solutions with a high degree of accuracy. (C) 2008 Elsevier Ltd. All rights reserved.en_US
dc.identifier.doi10.1016/j.apenergy.2008.12.020
dc.identifier.endpage2248en_US
dc.identifier.issn0306-2619
dc.identifier.issn1872-9118
dc.identifier.issue10en_US
dc.identifier.scopus2-s2.0-64649084798en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage2244en_US
dc.identifier.urihttps://doi.org/10.1016/j.apenergy.2008.12.020
dc.identifier.urihttps://hdl.handle.net/20.500.14619/4378
dc.identifier.volume86en_US
dc.identifier.wosWOS:000266129100044en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevier Sci Ltden_US
dc.relation.ispartofApplied Energyen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectThermal conductivityen_US
dc.subjectEthylene glycol-water solutionsen_US
dc.subjectArtificial neural networken_US
dc.titlePrediction of thermal conductivity of ethylene glycol-water solutions by using artificial neural networksen_US
dc.typeArticleen_US

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu