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.authorid0000-0001-9297-8134
dc.authorid0000-0002-2443-0502
dc.contributor.authorÇolak, Andaç Batur
dc.contributor.authorBayrak, Mustafa
dc.date.accessioned2024-10-12T19:47:13Z
dc.date.available2024-10-12T19:47:13Z
dc.date.issued2024
dc.departmentİstanbul Ticaret Üniversitesi, Uygulama ve Araştırma Merkezleri, Bilişim Teknolojileri Uygulama ve Araştırma Merkezien_US
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 °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%. © Akadémiai Kiadó, Budapest, Hungary 2024.en_US
dc.identifier.citationÇolak, A. B., & Bayrak, M. (2024). Comparison of Experimental Thermal Conductivity of Water-Based Al2O3–Cu Hybrid Nanofluid with Theoretical Models and Artificial Neural Network Output. Journal of Thermal Analysis and Calorimetry.
dc.identifier.doi10.1007/s10973-024-13617-3
dc.identifier.issn1388-6150
dc.identifier.scopus2-s2.0-85205348534en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.1007/s10973-024-13617-3
dc.identifier.urihttps://hdl.handle.net/11467/8824
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer Science and Business Media B.V.en_US
dc.relation.ispartofJournal of Thermal Analysis and Calorimetryen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Başka Kurum Yazarıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAl2O3–Cuen_US
dc.subjectNanofluiden_US
dc.subjectThermal Conductivityen_US
dc.subjectArtificial Neural Networken_US
dc.subjectHeat Transferen_US
dc.titleComparison of experimental thermal conductivity of water-based Al2O3–Cu hybrid nanofluid with theoretical models and artificial neural network outputen_US
dc.typeArticleen_US

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