Viscosity of carbon nanotubes water-based nanofluids: Influence of concentration and temperature

Halelfadl, Salma; Estellé, Patrice; Aladag, Bahadir; Döner, Nimeti; Maré, Thierry

doi:10.1016/j.ijthermalsci.2013.04.013

Cited by 252 publications

(138 citation statements)

References 46 publications

(4 reference statements)

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“…of 0.2% and 0.6% for CNT, and at distance decreases, which promote the obtained byHalelfadl et al [36]. Recent increase the viscosity of nanofluids [37].…”

Section: Nanoparticle's Concentration Effectsupporting

confidence: 71%

Evaluation of clustering role versus Brownian motion effect on the heat conduction in nanofluids: A novel approach

Daviran

Kasaeian

Tahmooressi

et al. 2017

International Journal of Heat and Mass Transfer

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In this study, the temperature and viscosity-dependent methods were used to identify the main heat conduction mechanism in nanofluids. Three sets of experiments were conductedto investigate the effects of Brownian motion and aggregation. Image processing approach was used to identify detailed configurations of different nanofluids microstructures. The thermal conductivity of the nanofluids was measured with respect to the dynamic viscosity in the temperature range between 0 and 55 °C. TheResultsclearly indicated thatthe nanoparticle Brownian motion does not play a significant role in heat conduction of nanofluids, which was also supported by the observation that a more viscous sample rendered a higher thermal conductivity. Moreover, the microscopic pictures and the differences in the viscosity between theoretical and experimental valuessuggested the major role of particle aggregation and clustering.

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“…of 0.2% and 0.6% for CNT, and at distance decreases, which promote the obtained byHalelfadl et al [36]. Recent increase the viscosity of nanofluids [37].…”

Section: Nanoparticle's Concentration Effectsupporting

confidence: 71%

Evaluation of clustering role versus Brownian motion effect on the heat conduction in nanofluids: A novel approach

Daviran

Kasaeian

Tahmooressi

et al. 2017

International Journal of Heat and Mass Transfer

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“…Moreover, they have a high oil-absorption capacity than the CNT sponges. Halelfadel et al 33 investigated viscosity of carbon nanotubes water based-nanofluids. They presented experimental result on viscosity of carbon nanotubes considering the influence of temperature and volume fraction.…”

Section: Introductionmentioning

confidence: 99%

Magnetic field effect on Poiseuille flow and heat transfer of carbon nanotubes along a vertical channel filled with Casson fluid

et al. 2017

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Heat and mass transfer analysis of unsteady MHD nanofluid flow through a channel with moving porous walls and medium AIP Advances 6, 045222 (2016) (2005)] model has been used for effective thermal conductivity of CNTs. A uniform magnetic field is applied in a transverse direction to the flow as magnetic field induces enhancement in the thermal conductivity of nanofluid. The problem is modelled by using the constitutive equations of Casson fluid in order to characterize the non-Newtonian fluid behavior. Using appropriate non-dimensional variables, the governing equations are transformed into the non-dimensional form, and the perturbation method is utilized to solve the governing equations with some physical conditions. Velocity and temperature solutions are obtained and discussed graphically. Expressions for skin friction and Nusselt number are also evaluated in tabular form. Effects of different parameters such as Casson parameter, radiation parameter and volume fraction are observed on the velocity and temperature profiles. It is found that velocity is reduced under influence of the exterior magnetic field. The temperature of single wall CNTs is found greater than MWCNTs for all the three base fluids. Increase in volume fraction leads to a decrease in velocity of the fluid as the nanofluid become more viscous by adding CNTs. © 2017 Author (s)

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“…Moreover, u and v define the velocity components in the x and y directions, respectively. Quantities in two phase model are given as [39][40][41]:…”

Section: Flow Modelingmentioning

confidence: 99%

Analysis of Entropy Generation in Mixed Convective Peristaltic Flow of Nanofluid

Hayat

Nawaz

Alsaedi

et al. 2016

Entropy

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This article examines entropy generation in the peristaltic transport of nanofluid in a channel with flexible walls. Single walled carbon nanotubes (SWCNT) and multiple walled carbon nanotubes (MWCNT) with water as base fluid are utilized in this study. Mixed convection is also considered in the present analysis. Viscous dissipation effect is present. Moreover, slip conditions are encountered for both velocity and temperature at the boundaries. Analysis is prepared in the presence of long wavelength and small Reynolds number assumptions. Two phase model for nanofluids are employed. Nonlinear system of equations for small Grashof number is solved. Velocity and temperature are examined for different parameters via graphs. Streamlines are also constructed to analyze the trapping. Results show that axial velocity and temperature of the nanofluid decrease when we enhance the nanoparticle volume fraction. Moreover, the wall elastance parameter shows increase in axial velocity and temperature, whereas decrease in both quantities is noticed for damping coefficient. Decrease is notified in Entropy generation and Bejan number for increasing values of nanoparticle volume fraction.

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Viscosity of carbon nanotubes water-based nanofluids: Influence of concentration and temperature

Cited by 252 publications

References 46 publications

Evaluation of clustering role versus Brownian motion effect on the heat conduction in nanofluids: A novel approach

Evaluation of clustering role versus Brownian motion effect on the heat conduction in nanofluids: A novel approach

Magnetic field effect on Poiseuille flow and heat transfer of carbon nanotubes along a vertical channel filled with Casson fluid

Analysis of Entropy Generation in Mixed Convective Peristaltic Flow of Nanofluid

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