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Experimental study on the viscosity of hybrid nanofluid and development of a new correlation

dc.contributor.authorSahoo, R.R.
dc.date.accessioned2020-11-17T11:50:10Z
dc.date.available2020-11-17T11:50:10Z
dc.date.issued2020-11-01
dc.description.abstractThe present experimental analysis targeted on the preparation of water based (Al2O3-SiC-TiO2) ternary hybrid nanofluids by the mistreatment of two-stage methodology. Each vol. fraction sample of ternary hybrid nanofluids consists of an equal proportion of Al2O3-SiC-TiO2 nanoparticles for this analysis. The result for the dynamic viscosity of ternary hybrid nanofluids was examined for a temperature range of 35–40 °C and within a vol. fraction range of (0.01–0.1%). Analysis extended to the morphology characterization study through SEM image, together with an EDX analysis for 0.1% vol. fraction ternary hybrid nanofluid. Furthermore, based on the supported results, a new correlation was projected for the dynamic viscosity of ternary hybrid nanofluid, and also compared with the relevant literatures. The results revealed that the rise in vol. fraction, contains a larger role in increasing the interior resistance of fluid and the low vol. fractions have a weaker result on the viscosity of ternary hybrid nanofluids. The best relative consistency was discovered within 0.1% vol. fraction and, consistent with the obtained results, the margin of deviation within the intervals of ±2.6%. © 2020, Springer-Verlag GmbH Germany, part of Springer Nature.en_US
dc.identifier.issn09477411
dc.identifier.urihttps://idr-sdlib.iitbhu.ac.in/handle/123456789/905
dc.language.isoen_USen_US
dc.publisherSpringer Science and Business Media Deutschland GmbHen_US
dc.relation.ispartofseriesHeat and Mass Transfer/Waerme- und Stoffuebertragung;Vol. 56 Issue 11
dc.subjectTernary hybrid nanofluiden_US
dc.subjectNew correlationen_US
dc.subjectViscosityen_US
dc.subjectWateren_US
dc.subjectAl2O3-SiC-TiO2 nanoparticlesen_US
dc.titleExperimental study on the viscosity of hybrid nanofluid and development of a new correlationen_US
dc.typeArticleen_US

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