2019
DOI: 10.1016/j.jksus.2017.09.016
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Predicting the effective viscosity of nanofluids based on the rheology of suspensions of solid particles

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Cited by 69 publications
(24 citation statements)
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“…Some researchers, with the aid of experiments, have proposed numerical formulas for viscosity using correlation. Udawattha et al [111] proposed a viscosity formula considering five effective variables. These variables include particle size, temperature, volume concentration, nanoparticle material, and particle shape.…”
Section: Nanofluid Viscositymentioning
confidence: 99%
“…Some researchers, with the aid of experiments, have proposed numerical formulas for viscosity using correlation. Udawattha et al [111] proposed a viscosity formula considering five effective variables. These variables include particle size, temperature, volume concentration, nanoparticle material, and particle shape.…”
Section: Nanofluid Viscositymentioning
confidence: 99%
“…Reduced graphene oxide (rGO) is the restoration of pristine graphene properties to GO through the reduction, removal of Oxide. This is of value due to the ease at which GO can be handled and suspended in water, but the need to recuperate conductivity properties in the end product [ 29 , 30 ].…”
Section: Carbon Based Inksmentioning
confidence: 99%
“…They considered the heat of transfer of the nanofluid among two plates. Dilan et al 19 studied nanofluids effective viscosity based on suspended nanoparticles. A carbon nanotubes based multifunctional hybrid nanoliquid has been considered by Rossella 20 .…”
mentioning
confidence: 99%