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Lattice Boltzmann simulation of magnetohydrodynamic natural convection heat transfer of Al_2O_3-water nanofluid in a horizontal cylindrical enclosure with an inner triangular cylinder

机译:Al_2O_3-水纳米流体在带内三角圆柱的水平圆柱壳体中的磁流体动力学自然对流换热的格子Boltzmann模拟

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In this study the lattice Boltzmann method is applied to investigate the effect of magnetic field on natural convection heat transfer of Al_2O_3-water nanofluid in a two-dimensional horizontal annulus. In this model, the effect of Brownian motion on the effective thermal conductivity is also considered. The effective thermal conductivity and the effective viscosity of nanofluid are calculated by KKL (Koo-Kleinstreuer-Li) correlation. The effect of nanoparticle volume fraction for the enhancement of heat transfer was examined for several sets of values of Rayleigh and Hartmann numbers. Also, a correlation of the Nusselt number with physical parameters is presented. The obtained results indicate that the value of the maximum stream function decreases with increasing Hartmann number. Furthermore, we notice that the Nusselt number has a direct relationship with the Rayleigh number; but quite the opposite is true with the Hartmann number. The obtained results indicate that the Lattice Boltzmann method with double-population is a powerful approach for the simulation of natural convection heat transfer in nanofluids in regions with curved boundaries.
机译:本文采用格子玻尔兹曼方法研究了磁场对二维水平环空中Al_2O_3-水纳米流体自然对流传热的影响。在该模型中,还考虑了布朗运动对有效热导率的影响。纳米流体的有效导热率和有效粘度通过KKL(Koo-Kleinstreuer-Li)相关性计算。对于瑞利和哈特曼数的几组值,检查了纳米颗粒体积分数对增强传热的影响。而且,提出了努塞尔数与物理参数的相关性。获得的结果表明,最大流函数的值随着哈特曼数的增加而减小。此外,我们注意到Nusselt数与Rayleigh数有直接关系。但哈特曼数则恰恰相反。所得结果表明,采用双重种群的Lattice Boltzmann方法是模拟边界边界区域纳米流体中自然对流传热的有效方法。

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