Correlation of internal flow structure with heat transfer efficiency in turbulent Rayleigh–Bénard convection

A. Xu, Xin Chen, Feng Wang, H. Xi
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引用次数: 21

Abstract

To understand how internal flow structures manifest themselves in the global heat transfer, we study the correlation between different flow modes and the instantaneous Nusselt number ($Nu$) in a two-dimensional square Rayleigh-Benard convection cell. High-resolution and long-time direct numerical simulations are carried out for Rayleigh numbers between $10^{7}$ and $10^{9}$ and a Prandtl number of 5.3. The investigated Nusselt numbers include the volume-averaged $Nu_{\text{vol}}$, the wall-averaged $Nu_{\text{wall}}$, the kinetic energy dissipation based $Nu_{\text{kinetic}}$, and the thermal energy dissipation based $Nu_{\text{thermal}}$. The Fourier mode decomposition and proper orthogonal decomposition are adopted to extract the coherent flow structure. Our results show that the single-roll mode, the horizontally stacked double-roll mode, and the quadrupolar flow mode are more efficient for heat transfer on average. In contrast, the vertically stacked double-roll mode is inefficient for heat transfer on average. The volume-averaged $Nu_{\text{vol}}$ and the kinetic energy dissipation based $Nu_{\text{kinetic}}$ can better reproduce the correlation of internal flow structures with heat transfer efficiency than that of the wall-averaged $Nu_{\text{wall}}$ and the thermal energy dissipation based $Nu_{\text{thermal}}$, even though these four Nusselt numbers give consistent time-averaged mean values. The ensemble-averaged time trace of $Nu$ during flow reversal shows that only the volume-averaged $Nu_{\text{vol}}$ can reproduce the overshoot phenomena that is observed in the previous experimental study. Our results reveal that the proper choice of $Nu$ is critical to obtain a meaningful interpretation.
紊流rayleigh - bsamadard对流内部流动结构与换热效率的关系
为了了解内部流动结构如何在全局传热中表现出来,我们研究了二维方形瑞利-贝纳德对流池中不同流动模式与瞬时努塞尔数($Nu$)之间的相关性。在瑞利数为$10^{7}$和$10^{9}$之间,普朗特数为5.3时,进行了高分辨率和长时间直接数值模拟。所研究的努塞尔数包括体积平均的$Nu_{\text{vol}}$、壁面平均的$Nu_{\text{wall}}$、基于动能耗散的$Nu_{\text{kinetic}}$和基于热能耗散的$Nu_{\text{thermal}}$。采用傅里叶模态分解和适当的正交分解提取相干流结构。结果表明,单辊模式、水平叠置双辊模式和四极流模式的平均换热效率更高。相比之下,垂直堆叠的双辊模式平均传热效率较低。体积平均的$Nu_{\text{vol}}$和基于动能耗散的$Nu_{\text{动能}}$比壁面平均的$Nu_{\text{wall}}$和基于热能耗散的$Nu_{\text{thermal}}$能更好地再现内部流动结构与换热效率的相关性,尽管这四个努赛尔数给出了一致的时间平均平均值。在回流过程中,$Nu$的集合平均时间轨迹表明,只有体积平均的$Nu_{\text{vol}}$才能重现先前实验研究中观察到的超调现象。我们的研究结果表明,Nu$的正确选择对于获得有意义的解释至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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