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Lattice Boltzmann simulations of axisymmetric natural convection with anisotropic thermal diffusion

机译:具有各向异性热扩散的轴对称自然对流的格子Boltzmann模拟

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摘要

In this article, a multi-relaxation-time lattice Boltzmann model for axisymmetric flow and heat transfer is presented. The main advantage of the present LB model is that it is able to simulate flow and heat transfer with anisotropic thermal diffusions. Also, by incorporating the radial coordinate into the temperature distribution function, only one simple source term is needed in the present LB model and thus the simplicity of the LB is well kept. Chapman-Enskog analysis demonstrates that the macro cylindrical energy equation can be exactly recovered. Numerical results obtained by the present LB model show good agreement with the existing studies. Natural convection in a vertical annulus with anisotropic thermal diffusion coefficient at different Rayleigh numbers are numerically investigated using the present LB model. It is found that as the thermal diffusion coefficient increases, the average Nusselt number decreases while the maximum axial velocity at the mid-height of the cylinder increases, which implies that both the diffusion and convection increases, and the diffusion triumphs over convection as thermal diffusion coefficient gets larger. What's more, flow and heat transfer is more sensitive to the radial thermal diffusion coefficient as the radial thermal diffusion coefficient itself is relatively small. Also, the diffusion coefficient in the radial direction exerts much more influence on the flow and heat transfer than that in the axial direction in the present physical model.
机译:在本文中,提出了一种用于轴对称流动和传热的多重弛豫时间晶格玻尔兹曼模型。当前LB模型的主要优点是它能够模拟具有各向异性热扩散的流动和传热。而且,通过将径向坐标合并到温度分布函数中,在当前的LB模型中仅需要一个简单的源项,因此可以很好地保持LB的简单性。 Chapman-Enskog分析表明,可以精确地恢复宏观圆柱能量方程。通过目前的LB模型获得的数值结果与现有研究显示出良好的一致性。使用当前的LB模型,对具有不同热瑞氏数的各向异性热扩散系数的垂直环空中的自然对流进行了数值研究。发现随着热扩散系数的增加,平均努塞尔数减少,而圆柱体中部的最大轴向速度增加,这意味着扩散和对流都增加,并且随着热扩散,扩散胜过对流系数变大。此外,由于径向热扩散系数本身相对较小,因此流动和传热对径向热扩散系数更加敏感。而且,在本物理模型中,径向方向上的扩散系数比轴向方向上的扩散系数对流动和传热的影响大得多。

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