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Article: A semi-Analytical model for the thermal conductivity of nanofluids and determination of the nanolayer thickness

TitleA semi-Analytical model for the thermal conductivity of nanofluids and determination of the nanolayer thickness
Authors
KeywordsMathematical model
Heat conduction
Effective thermal conductivity
Nanofluids
Nanolayer
Nanoparticles
Issue Date2014
Citation
International Journal of Heat and Mass Transfer, 2014, v. 70, p. 202-214 How to Cite?
AbstractNanofluid shows a huge potential to be the next-generation heat transfer fluid since the nanoparticles can suspend in the base fluids for a long time and the thermal conductivity of the nanofluid can be far above those of convectional solid-liquid suspension. It has long been known that liquid molecules close to a solid surface can form a layer which is solid-like in structure, but little is known about the connection between this layer and the thermal properties of the suspension. In this study, a semi-analytical model for calculating the enhanced thermal conductivity of nanofluids is derived from the steady heat conduction equation in spherical coordinates. The effects of nanolayer thickness, nanoparticle size, volume fraction, thermal conductivity of nanoparticles and base fluid are discussed. A linear thermal conductivity profile inside the nanolayer is considered in the present model. The proposed model, while investigating the impact of the interfacial nanolayer on the effective thermal conductivity of nanofluids, provides an equation to determine its nanolayer thickness for different types of nanofluids. Hence, different relationships between the nanolayer thickness and the nanoparticle size are found for each type of nanofluid. Moreover, based on the present model's prediction, it is found that the effective thermal conductivities of nanofluids show the same result as the Maxwell model when the nanolayer thickness value approaches to zero. Lastly, the effective thermal conductivities of different types of nanofluids calculated by the present model is in good agreement with the experimental results and the prediction is much better than the Maxwell model and Bruggeman model. © 2013 Elsevier Ltd. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/255939
ISSN
2019 Impact Factor: 4.947
2015 SCImago Journal Rankings: 1.749
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorTso, C. Y.-
dc.contributor.authorFu, S. C.-
dc.contributor.authorChao, Christopher Y.H.-
dc.date.accessioned2018-07-16T06:14:07Z-
dc.date.available2018-07-16T06:14:07Z-
dc.date.issued2014-
dc.identifier.citationInternational Journal of Heat and Mass Transfer, 2014, v. 70, p. 202-214-
dc.identifier.issn0017-9310-
dc.identifier.urihttp://hdl.handle.net/10722/255939-
dc.description.abstractNanofluid shows a huge potential to be the next-generation heat transfer fluid since the nanoparticles can suspend in the base fluids for a long time and the thermal conductivity of the nanofluid can be far above those of convectional solid-liquid suspension. It has long been known that liquid molecules close to a solid surface can form a layer which is solid-like in structure, but little is known about the connection between this layer and the thermal properties of the suspension. In this study, a semi-analytical model for calculating the enhanced thermal conductivity of nanofluids is derived from the steady heat conduction equation in spherical coordinates. The effects of nanolayer thickness, nanoparticle size, volume fraction, thermal conductivity of nanoparticles and base fluid are discussed. A linear thermal conductivity profile inside the nanolayer is considered in the present model. The proposed model, while investigating the impact of the interfacial nanolayer on the effective thermal conductivity of nanofluids, provides an equation to determine its nanolayer thickness for different types of nanofluids. Hence, different relationships between the nanolayer thickness and the nanoparticle size are found for each type of nanofluid. Moreover, based on the present model's prediction, it is found that the effective thermal conductivities of nanofluids show the same result as the Maxwell model when the nanolayer thickness value approaches to zero. Lastly, the effective thermal conductivities of different types of nanofluids calculated by the present model is in good agreement with the experimental results and the prediction is much better than the Maxwell model and Bruggeman model. © 2013 Elsevier Ltd. All rights reserved.-
dc.languageeng-
dc.relation.ispartofInternational Journal of Heat and Mass Transfer-
dc.subjectMathematical model-
dc.subjectHeat conduction-
dc.subjectEffective thermal conductivity-
dc.subjectNanofluids-
dc.subjectNanolayer-
dc.subjectNanoparticles-
dc.titleA semi-Analytical model for the thermal conductivity of nanofluids and determination of the nanolayer thickness-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.ijheatmasstransfer.2013.10.077-
dc.identifier.scopuseid_2-s2.0-84888420156-
dc.identifier.volume70-
dc.identifier.spage202-
dc.identifier.epage214-
dc.identifier.isiWOS:000330814800023-

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