Neural network-based correlations for the thermal conductivity of propane

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dc.contributor.authorKarabulut, Elife Oznur
dc.contributor.authorKoyuncu, Mustafa
dc.date.accessioned2020-03-26T17:17:44Z
dc.date.available2020-03-26T17:17:44Z
dc.date.issued2007
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractAn alternative approach, exploiting neural networks, is proposed to develop thermal conductivity correlation of propane for the first time. In order to test the accuracy of the proposed technique and demonstrate its utility in fitting the thermal conductivity surface of propane, we have established a thermal conductivity correlation in terms of temperature and density, and then compared its predictions with those obtained by the conventional method. The results obtained are so impressive that the neural network correlation has lower overall average absolute deviations (AADs) in each data set. The requirement of using a high accuracy equation of state (EoS) for the correlations which include density as a variable has been avoided by developing thermal conductivity equations as a function of temperature and pressure. For this purpose, three neural network models have been constructed for the liquid, vapour, and supercritical phases. It is found that neural network approach produces a much better correlation for the liquid region while the predictions of the other two models are in substantial agreement with the traditional results. Consequently, neural networks offer a powerful tool for the development of thermal conductivity correlations of fluids, no matter whether an EoS is used or not. (c) 2007 Elsevier B.V. All rights reserved.en_US
dc.identifier.doi10.1016/j.fluid.2007.04.024en_US
dc.identifier.endpage17en_US
dc.identifier.issn0378-3812en_US
dc.identifier.issn1879-0224en_US
dc.identifier.issue1en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage6en_US
dc.identifier.urihttps://dx.doi.org/10.1016/j.fluid.2007.04.024
dc.identifier.urihttps://hdl.handle.net/20.500.12395/21488
dc.identifier.volume257en_US
dc.identifier.wosWOS:000248430200002en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherELSEVIER SCIENCE BVen_US
dc.relation.ispartofFLUID PHASE EQUILIBRIAen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjecttransport properties correlation techniquesen_US
dc.subjectthermal conductivityen_US
dc.subjectneural networksen_US
dc.subjectpropaneen_US
dc.titleNeural network-based correlations for the thermal conductivity of propaneen_US
dc.typeArticleen_US

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