Experimental study for thermal conductivity of water-based zirconium oxide nanofluid: Developing optimal artificial neural network and proposing new correlation

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dc.authoridColak, Andac Batur/0000-0001-9297-8134
dc.contributor.authorColak, Andac Batur
dc.date.accessioned2024-11-07T13:24:50Z
dc.date.available2024-11-07T13:24:50Z
dc.date.issued2021
dc.departmentNiğde Ömer Halisdemir Üniversitesi
dc.description.abstractIn this study, five different water based ZrO(2)nanofluids were prepared at volumetric concentrations of 0.0125%, 0.025%, 0.05%, 0.1%, and 0.2%. In the preparation of nanofluids, two-step method was preferred, magnetic stirrer and ultrasonic homogenizer were used. Their thermal conductivity was measured experimentally in the temperature range of 10 degrees C to 65 degrees C. Using the obtained experimental data, a multi-layer perceptron feed-forward back-propagation artificial neural network was developed. In addition, a new correlation was proposed for the calculation of the thermal conductivity values of the ZrO2/Water nanofluid. The results showed that the ZrO2/Water nanofluid had higher thermal conductivity compared to the base fluid and the thermal conductivity increases with the increase in temperature and concentration. While the artificial neural network developed with experimental data predicted the thermal conductivity of ZrO2/Water nanofluid with an average error of -0.41%, the new correlation developed predicted it with an average error of -0.02%. These values were an indication that the results obtained from the developed artificial neural network and the correlation are in perfect agreement with the experimental data.
dc.identifier.doi10.1002/er.5988
dc.identifier.endpage2930
dc.identifier.issn0363-907X
dc.identifier.issn1099-114X
dc.identifier.issue2
dc.identifier.scopus2-s2.0-85091002458
dc.identifier.scopusqualityQ1
dc.identifier.startpage2912
dc.identifier.urihttps://doi.org/10.1002/er.5988
dc.identifier.urihttps://hdl.handle.net/11480/14352
dc.identifier.volume45
dc.identifier.wosWOS:000569059100001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherWiley
dc.relation.ispartofInternational Journal of Energy Research
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241106
dc.subjectartificial neural network
dc.subjectcorrelation
dc.subjectnanofluid
dc.subjectthermal conductivity
dc.subjectzirconium oxide
dc.titleExperimental study for thermal conductivity of water-based zirconium oxide nanofluid: Developing optimal artificial neural network and proposing new correlation
dc.typeArticle

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