Numerical investigation into the convective heat transfer of TiO2 nanofluids flowing through a straight tube under the laminar flow conditions

He, Yurong; Men, Yubin; Zhao, Yunhua; Huilin, Lu; Ding, Yulong

doi:10.1016/j.applthermaleng.2008.09.020

Cited by 245 publications

(104 citation statements)

References 26 publications

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“…This is due to the increase of the Prandtl number of the nanofluid and also to an increase in volume fraction. Here, the results are similar to that observed by Bianco et al 19 and He et al 21 . The figures show the increase of the Cu content in the nanofluid instead of the CuO tends to increase the heat transfer coefficients for the same volume fraction nanofluid.…”

Section: Enhancement Of Heat Transfer With Monocularsupporting

confidence: 93%

Numerical Study of the Enhancement of Heat Transfer for Hybrid CuO-Cu Nanofluids Flowing in a Circular Pipe

et al. 2013

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Section: Enhancement Of Heat Transfer With Monocularsupporting

confidence: 93%

Numerical Study of the Enhancement of Heat Transfer for Hybrid CuO-Cu Nanofluids Flowing in a Circular Pipe

et al. 2013

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“…But, the temperature profiles are affected by the nanoparticle concentration. He et al [6] performed Numerical simulations using a single and combined Eulerian and Lagrangian method on the convective heat transfer of aqueous γ-Al 2 O 3 nanofluids flowing through a straight tube under the laminar flow conditions. Lotfi et al [7] submitted Forced convective of a nanofluid that consists of water and Al 2 O 3 in horizontal tubes.…”

Section: Related Workmentioning

confidence: 99%

Numerical Study of Transient Forced Convection Heat Transfer in Square Duct with Nanofluid

Ali¹,

Al-Hattab²

2014

IJIRSET

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ABSTRACT:In the present paper, the problem of transient laminar forced convection flow of nanofluids in horizontal square duct has been thoroughly investigated using a single phase approach. The water is adopted as base fluid ,while the(Al 2 O 3 ) and(CuO) are a solid nanoparticles. Computations are validated with experimental data available in the literature, good agreements are obtained. The results showed that Convective heat transfer coefficient for nanofluids is greater than that of the base liquid. Heat transfer enhancement increases with the particle volume concentration increase, but it is accompanied by increasing wall shear stress values. The isotherms are presented for various void fractions and Reynolds numbers. Also, the relation between the Nusselt number, and friction factor with Time are introduced for various Reynolds numbers and volume fraction of nanoparticles.

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“…He et al [21] and Bianco et al [22] were pioneer in modelling nanoparticles as discrete phase. The former employed the particles interaction source term only in momentum equation, but the latter 4 used both momentum and energy source terms in equations.…”

Section: Introductionmentioning

confidence: 99%

CFD modelling of heat transfer and pressure drops for nanofluids through vertical tubes in laminar flow by Lagrangian and Eulerian approaches

Mahdavi

Sharifpur

Meyer

2015

International Journal of Heat and Mass Transfer

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Nanofluids consist of liquid and solid (nanoparticles), therefore, they can be classified as two-component flow, which brings up different approaches for simulation purposes. In this study, heat transfer and hydro-dynamic features of nanoparticles in a laminar nanofluid flow in a vertical tube are investigated numerically via Lagrangian and Eulerian approaches.Discrete Phase Model (DPM) in Lagrangian approach simulates the motion of particles through base flow with force balance equation, therefore, no needs empirical correlations at least for the thermo-physical properties (which they are not universal and change for different fluids and/or nanoparticles). Although, general empirical or analytical correlations are needed for some interactions between solid and liquid such as Thermophoresis, Brownian and clustering effects, but they are not that extensive and can be employed in most of the cases.Mixture model in Eulerian approach provides more reliable results, but it highly depends on the accuracy of the correlations for the thermo-physical properties of the nanofluid. In present study, three common types of nanofluids consist of Alumina, Zirconia and Silica nanoparticles (up to 2.76% of volume fraction) are studied and the results are compared with experimental works. Numerical simulations indicate that the findings are in good agreement with the measured heat transfer coefficient for DPM. Consequently, DPM can be highly recommended for simulation study due to the strength and simplicity. It has been also observed that the effects of nanoparticles in each computational cell need to be distributed to the other neighbourhood cells. Pressure losses results predicted by DPM were found reliable for volume fraction less than 3%, no matter the types of nanoparticles or diameter. DPM velocity profiles show that the slip velocity between nanoparticles and base flow is not negligible.

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Numerical investigation into the convective heat transfer of TiO2 nanofluids flowing through a straight tube under the laminar flow conditions

Cited by 245 publications

References 26 publications

Numerical Study of the Enhancement of Heat Transfer for Hybrid CuO-Cu Nanofluids Flowing in a Circular Pipe

Numerical Study of the Enhancement of Heat Transfer for Hybrid CuO-Cu Nanofluids Flowing in a Circular Pipe

Numerical Study of Transient Forced Convection Heat Transfer in Square Duct with Nanofluid

CFD modelling of heat transfer and pressure drops for nanofluids through vertical tubes in laminar flow by Lagrangian and Eulerian approaches

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