DNS and k–ɛ model simulation of MHD turbulent channel flows with heat transfer
DNS and k–ɛ model simulation of MHD turbulent channel flows with heat transfer
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DOI：
10.1016/j.fusengdes.2008.10.001
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发表时间：
2008-12
影响因子：
1.7
通讯作者：
Y. Yamamoto;T. Kunugi;S. Satake;S. Smolentsev
中科院分区：
文献类型：
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作者：
Y. Yamamoto;T. Kunugi;S. Satake;S. Smolentsev
本文采用直接数值模拟（DNS）方法研究了低磁雷诺数、高普朗特数（Pr）流体（如FLiBe）的磁流体动力学（MHD）压力损失和传热特性，并对高雷诺数（Re）条件下的MHD湍流模型进行了评价。结果表明，随着Hartman数（Ha）的增加，速度和温度分布之间的相似律并不满足要求，在维持湍流的近临界Ha条件下，速度和温度分布之间的相似律是显著的。在高Re条件下，与k-ε湍流模型耦合的MHD湍流模型可以再现MHD压力损失随Ha增大的趋势。然而，从定量预测的角度来看，可能需要能够考虑雷诺应力的各向异性和湍流普朗特数的局部变化的湍流模型。
In this study, the magneto-hydro-dynamic (MHD) pressure loss and heat-transfer characteristics of the low-magnetic Reynolds number and higher Prandtl number (Pr) fluid such as the FLiBe, were investigated by means of direct numerical simulation (DNS) and the evaluation of MHD turbulence models was also carried out in higher Reynolds number (Re) condition. As the results, the similarity-law between the velocity and the temperature profiles was not satisfied with increase of Hartman number (Ha) and was noticeable at the near critical Ha condition to maintain turbulent flow. In higher Re condition, MHD turbulence models coupled with k–ɛ model of turbulence can reproduce the MHD pressure loss trend with increase of Ha. However, the turbulent model which can consider the anisotropy of the Reynolds stresses and the local change of the turbulent Prandtl number might be required in the view point of quantitative prediction.