Numerical simulation of free convection based on experimental measured conductivity in a square cavity using Water/SiO2 nanofluid

Jahanshahi, Mohsen; Hosseinizadeh, S.F.; Alipanah, Morteza; Dehghani, Alireza; Vakilinejad, G.R.

doi:10.1016/j.icheatmasstransfer.2010.03.010

Cited by 199 publications

(58 citation statements)

References 22 publications

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“…4 it shows the dimensionless temperature along the horizontal axial midline of the enclosure for three values of the Hartmann number, for Ra=10 5 and for a solid volume fraction φ = 0.03, excellent agreement is also found. The present code is also validated with the results of Khanafer et al [8] and Jahanshahiet al [42] for natural convection in an enclosure filled with water/Cu nanofluid for Ra=6.2x10 5 and φ =0.1 as shown in Fig. 5 based on the aforementioned comparisons, the developed code is reliable for studying natural convection in nanofluid subjected to a magnetic field.…”

Section: Non Dimensional Parameterssupporting

confidence: 71%

Lattice Boltzmann simulation of MHD natural convection in a nanofluid-filled enclosure with non-uniform heating on both side walls

Mejri

Mahmoudi

Abbassi

et al. 2014

2014 International Conference on Composite Materials &Amp; Renewable Energy Applications (ICCMREA)

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Abstract-This paper examines the natural convection in a square enclosure filled with a water-Al 2 O 3 nanofluid and is subjected to a magnetic field. The side walls of the cavity have spatially varying sinusoidal temperature distributions. The horizontal walls are adiabatic. Lattice Boltzmann method (LBM) is applied to solve the coupled equations of flow and temperature fields. This study has been carried out for the pertinent parameters in the following ranges: Rayleigh number of the base fluid, Ra=10 3 to 10 6 , Hartmann number varied from Ha=0 to 90, phase deviation (γ=0, π/4, π/2, 3π/4 and π) and the solid volume fraction of the nanoparticles between Ø = 0 and 6%. The results show that the heat transfer rate increases with an increase of the Rayleigh number but it decreases with an increase of the Hartmann number. For γ=π/2 and Ra=10 5 the magnetic field augments the effect of nanoparticles. At Ha=0, the greatest effects of nanoparticles are obtained at γ = 0 and π/4 for Ra=10 4 and 10 5 respectively.

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Section: Non Dimensional Parameterssupporting

confidence: 71%

Lattice Boltzmann simulation of MHD natural convection in a nanofluid-filled enclosure with non-uniform heating on both side walls

Mejri

Mahmoudi

Abbassi

et al. 2014

2014 International Conference on Composite Materials &Amp; Renewable Energy Applications (ICCMREA)

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“…The effect of volume fraction of nano particles, stretching parameter, Eckert number, Richardson number, Reynolds number, Brinkman number and Hartman number are considered. Table 1 Thermo-physical properties of water and nanoparticle (30) . In Table 1, thermal properties of nano particle used in the present work are indicated.…”

Section: Resultsmentioning

confidence: 99%

Entropy Analysis in Mixed Convection MHD flow of Nanofluid over a Non-linear Stretching Sheet

Matin

Nobari

Jahangiri

2012

JTST

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This article deals with a numerical study of entropy analysis in mixed convection MHD flow of nanofluid over a non-linear stretching sheet taking into account the effects of viscous dissipation and variable magnetic field. The nanofluid is made of such nano particles as SiO 2 with pure water as a base fluid. To analyze the problem, at first the boundary layer equations are transformed into non-linear ordinary equations using a similarity transformation. The resultant equations are then solved numerically using the Keller-Box scheme based on the implicit finite-difference method. The effects of different non-dimensional governing parameters such as magnetic parameter, nanoparticles volume fraction, Nusselt, Richardson, Eckert, Hartman, Brinkman, Reynolds and entropy generation numbers are investigated in details. The results indicate that increasing the nano particles to the base fluids causes the reduction in shear forces and a decrease in stretching sheet heat transfer coefficient. Also, decreasing the magnetic parameter and increasing the Eckert number result in improves heat transfer rate. Furthermore, the surface acts as a strong source of irreversibility due to the higher entropy generation number near the surface.

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“…The tests are done by comparing the flow field and temperature distribution and it is found that the written homemade code shows good agreement with literature. For nanofluids' buoyancy-induced flow, the code was validated by comparing with the study of Jahanshahi et al [22] ( Figure 3). Jahanshahi et al [22] studied the effect of adding SiO 2 nanoparticles in water as base fluid on heat transfer and flow structure inside a differentially heated square cavity.…”

Section: Validation Of the Code And Grid Dependencymentioning

confidence: 99%

“…For nanofluids' buoyancy-induced flow, the code was validated by comparing with the study of Jahanshahi et al [22] ( Figure 3). Jahanshahi et al [22] studied the effect of adding SiO 2 nanoparticles in water as base fluid on heat transfer and flow structure inside a differentially heated square cavity. It can be concluded from this comparison that there is good agreement.…”

Section: Validation Of the Code And Grid Dependencymentioning

confidence: 99%

Effects of Movable-Baffle on Heat Transfer and Entropy Generation in a Cavity Saturated by CNT Suspensions: Three-Dimensional Modeling

Al‐Rashed

Aich

Kolsi

et al. 2017

Entropy

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Abstract:Convective heat transfer and entropy generation in a 3D closed cavity, equipped with adiabatic-driven baffle and filled with CNT (carbon nanotube)-water nanofluid, are numerically investigated for a range of Rayleigh numbers from 10 3 to 10 5 . This research is conducted for three configurations; fixed baffle (V = 0), rotating baffle clockwise (V+) and rotating baffle counterclockwise (V−) and a range of CNT concentrations from 0 to 15%. Governing equations are formulated using potential vector vorticity formulation in its three-dimensional form, then solved by the finite volume method. The effects of motion direction of the inserted driven baffle and CNT concentration on heat transfer and entropy generation are studied. It was observed that for low Rayleigh numbers, the motion of the driven baffle enhances heat transfer regardless of its direction and the CNT concentration effect is negligible. However, with an increasing Rayleigh number, adding driven baffle increases the heat transfer only when it moves in the direction of the decreasing temperature gradient; elsewhere, convective heat transfer cannot be enhanced due to flow blockage at the corners of the baffle.

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Numerical simulation of free convection based on experimental measured conductivity in a square cavity using Water/SiO2 nanofluid

Cited by 199 publications

References 22 publications

Lattice Boltzmann simulation of MHD natural convection in a nanofluid-filled enclosure with non-uniform heating on both side walls

Lattice Boltzmann simulation of MHD natural convection in a nanofluid-filled enclosure with non-uniform heating on both side walls

Entropy Analysis in Mixed Convection MHD flow of Nanofluid over a Non-linear Stretching Sheet

Effects of Movable-Baffle on Heat Transfer and Entropy Generation in a Cavity Saturated by CNT Suspensions: Three-Dimensional Modeling

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