腔体内瑞利-贝纳德对流的扩展涡粘模型

Q3 Chemical Engineering
Gunarjo Suryanto Budi, Sasa Kenjeres
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引用次数: 0

摘要

本文介绍了利用涡粘与椭圆松弛相结合的方法在一个从下往上加热的空腔中建立湍流数值模型的研究。该模型使用一组微分方程,包括动能、动能耗散、温度变化、速度尺度和椭圆松弛参数,并使用有限体积和纳维-斯托克斯求解器求解。未解决的应力张量和热通量向量用代数公式建模。离散化方法采用 CDS(二阶差分方案)和 LUDS(二阶线性上风方案)。该模型适用于高度与长度长宽比分别为 1:1.5、1:4 和 1:8 的二维空腔中自下而上受热的自然对流(即瑞利-贝纳德对流)。该模型利用 DNS(直接数值模拟)和实验的数值数据进行了验证。该模型与 DNS 和实验结果相似。实验还表明,该模型可以直观地显示不同长宽比的围护结构中湍流对流的主要特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Extended Eddy-Viscosity Model to Rayleigh-Benard Convection in Cavity
This paper presents a study of developing a numerical turbulent model in a cavity heated from below using eddy viscosity combined with elliptic relaxation approach. The model uses a set of differential equations that consist of kinetic energy, its dissipation, variance of temperature, velocity scale and elliptic relaxation parameter, which are solved using a finite-volume and Navier-Stokes solver. The unresolved stress tensors and heat flux vectors are modelled with an algebraic formula. The discretization method is carried out by CDS, or second-order differencing scheme, and LUDS, or second-order linear upwind scheme. The model is applied to the natural convection heated from below, known as Rayleigh-Benard convection, in a two-dimensional cavity with a height-to-length aspect ratio of 1:1.5, 1:4, and 1:8. The model has been validated using numerical data from DNS (direct numerical simulation) and experiments. The model produced similar results with both DNS and experiments. It was also shown that the model can visualize the main feature of turbulent convective flow in the enclosure for various aspect ratio.
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来源期刊
Journal of Advanced Research in Fluid Mechanics and Thermal Sciences
Journal of Advanced Research in Fluid Mechanics and Thermal Sciences Chemical Engineering-Fluid Flow and Transfer Processes
CiteScore
2.40
自引率
0.00%
发文量
176
期刊介绍: This journal welcomes high-quality original contributions on experimental, computational, and physical aspects of fluid mechanics and thermal sciences relevant to engineering or the environment, multiphase and microscale flows, microscale electronic and mechanical systems; medical and biological systems; and thermal and flow control in both the internal and external environment.
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