Comparison of experimental thermal conductivity of water-based Al2O3-Cu hybrid nanofluid with theoretical models and artificial neural network output

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dc.authoridColak, Andac Batur/0000-0001-9297-8134
dc.contributor.authorColak, Andac Batur
dc.contributor.authorBayrak, Mustafa
dc.date.accessioned2024-11-07T13:31:30Z
dc.date.available2024-11-07T13:31:30Z
dc.date.issued2024
dc.departmentNiğde Ömer Halisdemir Üniversitesi
dc.description.abstractThe research aimed to experimentally test the thermal conductivity of five distinct Al2O3-Cu/water hybrid nanofluids. These nanofluids were generated at volumetric concentrations of 0.0125, 0.025, 0.05, 0.1, and 0.2. The measurements were conducted within a temperature range of 10-65 degrees C. The primary objective of this research is to tackle the insufficient empirical data on hybrid nanofluids and establish a dependable artificial neural network model for forecasting their thermal conductivity. A multilayer perceptron feed forward back propagation artificial neural network has been created using the acquired experimental thermal conductivity data. The experimental thermal conductivity data have been compared with four commonly used mathematical correlations and the outputs of an artificial neural network. The findings demonstrated that the constructed artificial neural network accurately forecasted the thermal conductivity of the Al2O3-Cu/water hybrid nanofluid, with an average deviation of just 0.4%. Nevertheless, Maxwell's mathematical correlation proved to be the most accurate model in predicting the experimental findings, with an average error margin of just 0.08%.
dc.description.sponsorshipOmer Halisdemir Universitesi [FEB2018/17-BAGEP]
dc.description.sponsorshipOmer Halisdemir Universitesi, FEB2018/17-BAGEP, Mustafa Bayrak
dc.identifier.doi10.1007/s10973-024-13617-3
dc.identifier.issn1388-6150
dc.identifier.issn1588-2926
dc.identifier.scopus2-s2.0-85205348534
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1007/s10973-024-13617-3
dc.identifier.urihttps://hdl.handle.net/11480/14861
dc.identifier.wosWOS:001325460000001
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSpringer
dc.relation.ispartofJournal of Thermal Analysis and Calorimetry
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241106
dc.subjectAl2O3-Cu
dc.subjectNanofluid
dc.subjectThermal conductivity
dc.subjectArtificial neural network
dc.subjectHeat transfer
dc.titleComparison of experimental thermal conductivity of water-based Al2O3-Cu hybrid nanofluid with theoretical models and artificial neural network output
dc.typeArticle

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