Thermal lattice Boltzmann simulation of natural convection in a multi-pipe sinusoidal-wall cavity filled with Al2O3-EG nanofluid

Khakrah, Hamidreza; Hooshmand, Payam; Jamalabadi, Mohammad Yaghoub Abdollahzadeh; Azar, Sina

doi:10.1016/j.powtec.2019.08.013

Cited by 6 publications

(4 citation statements)

References 29 publications

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“…The lattice Boltzmann method has been derived from the statistical view of the transport phenomena in the physical domain and solves the governing equations without any discretization [28]. Introducing a structured pattern for particles moving through the computation domain, the governing equations are determined.…”

Section: Governing Equationsmentioning

confidence: 99%

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Analysis of unsteady mixed convection of Cu–water nanofluid in an oscillatory, lid-driven enclosure using lattice Boltzmann method

Ardalan

Alizadeh

Fattahi

et al. 2020

J Therm Anal Calorim

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The unsteady physics of laminar mixed convection in a lid-driven enclosure filled with Cu-water nanofluid is numerically investigated. The top wall moves with constant velocity or with a temporally sinusoidal function, while the other walls are fixed. The horizontal top and bottom walls are, respectively, held at the low and high temperatures, and the vertical walls are assumed to be adiabatic. The governing equations along with the boundary conditions are solved through D2Q9 fluid flow and D2Q5 thermal lattice Boltzmann network. The effects of Richardson number and volume fractions of nanoparticles on the fluid flow and heat transfer are investigated. For the first time in the literature, the current study considers the mechanical power required for moving the top wall of the enclosure under various conditions. This reveals that the power demand increases if the enclosure is filled with a nanofluid in comparison with that with a pure fluid. Keeping a constant heat transfer rate, the required power diminishes by implementing a temporally sinusoidal velocity on the top wall rather than a constant velocity. Reducing frequency of the wall oscillation leads to heat transfer enhancement. Similarly, dropping Richardson number and raising the volume fraction of the nanoparticles enhance the heat transfer rate. Through these analyses, the present study provides a physical insight into the less investigated problem of unsteady mixed convection in enclosures with oscillatory walls. Keywords Mixed convection • Cu-water nanofluid • Sinusoidal lid-driven enclosure • Unsteady heat transfer • Lattice Boltzmann method List of symbols AR Aspect ratio c p (J kg −1 K −1) Specific heat at constant pressure F Volumetric force f (x, t) Momentum distribution function G(x, t) Temperature distribution function Gr Grashof number g (m s −2) Gravitational acceleration H (m) Height h (W m −2 K −1) Heat convection coefficient k (W m −1 K −1) Thermal conductivity Nu Nusselt number p (Pa) Fluid pressure Pr Prandtl number Re Reynolds number Ri Richardson number T (K) Temperature t (s) Time u (m s −1) Velocity component along x v (m s −1) Velocity component along y * Nader Karimi

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Section: Governing Equationsmentioning

confidence: 99%

“…in which c i is determined by [28] In Eq. 4, c is the base speed of the lattice Boltzmann, which is equal to unity [33].…”

Section: Governing Equationsmentioning

confidence: 99%

Analysis of unsteady mixed convection of Cu–water nanofluid in an oscillatory, lid-driven enclosure using lattice Boltzmann method

Ardalan

Alizadeh

Fattahi

et al. 2020

J Therm Anal Calorim

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“…They went on to remark that the parameters of aspect ratio and Hartmann number reduced the free convection, otherwise, the heat transfer increased with augmentation of volume fraction. Khakrah et al [13] studied a thermal lattice Boltzmann simulation of natural convection in a multi-pipe sinusoidal-wall cavity filled with Al2O3-Ethylene Glycol nanofluid. They concluded that heat transfer improved by adding nanoparticles, on the other hand the total entropy generation was reduced, and that was acceptable in the thermal component.…”

Section: Introductionmentioning

confidence: 99%

“…Vmax .26 -69.99 -68.63 -67 13. A correlation linking the maximum vertical component velocity with Rayleigh number and nanoparticles volume fraction is presented in Figure8.…”

mentioning

confidence: 98%

Numerical Simulation by the Lattice Boltzmann Method of the Natural Convective Flow in a Square Cavity Containing a Nanofluid

Benameur¹,

Elmir²,

Mebarki³

2022

IJHT

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In this work, Lattice Boltzmann Method (LBM) is used to study the heat transfer by natural convection of a nanofluid (Water-Al2O3) in a square cavity with D2Q9 scheme. This method is used to describe and analyze the flow of nanofluid by convection in a differentially heated cavity. The horizontal walls of the cavity are adiabatic, while the right and left sides are with cold and hot constant temperature, respectively. The macroscopic variables which characterize the flow and the heat transfer by convection (temperature and two components of the velocity) are determined from the mesoscopic variable (distribution functions). The results of this study show the influence of the Rayleigh number and the volume fraction of the nanoparticles on the flow structure and the average Nusselt number. Two correlations of the maximum vertical velocity and the average Nusselt number with Rayleigh number and volume fraction are envisaged.

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Thermal management of lithium-ion batteries with simultaneous use of hybrid nanofluid and nano-enhanced phase change material: A numerical study

Al‐Rashed

2022

Journal of Energy Storage

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Thermal lattice Boltzmann simulation of natural convection in a multi-pipe sinusoidal-wall cavity filled with Al2O3-EG nanofluid

Cited by 6 publications

References 29 publications

Analysis of unsteady mixed convection of Cu–water nanofluid in an oscillatory, lid-driven enclosure using lattice Boltzmann method

Analysis of unsteady mixed convection of Cu–water nanofluid in an oscillatory, lid-driven enclosure using lattice Boltzmann method

Numerical Simulation by the Lattice Boltzmann Method of the Natural Convective Flow in a Square Cavity Containing a Nanofluid

Thermal management of lithium-ion batteries with simultaneous use of hybrid nanofluid and nano-enhanced phase change material: A numerical study

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