Experimental study of multiple states and heat transport in turbulent thermal convection

XIE Yichao; TAO Xin; REN Lei; XIA Keqing

doi:10.7638/kqdlxxb-2021.0386

English Version Journal Login

您当前的位置：

首页 >

文章列表页 >

Experimental study of multiple states and heat transport in turbulent thermal convection

更新时间：2026-05-28

- Experimental study of multiple states and heat transport in turbulent thermal convection
- Vol. 40, Issue 2, Pages: 188-198(2022)
- 作者机构：
  
  1. 西安交通大学航天航空学院，机械结构强度与振动国家重点实验室,西安,710049
  2. 南方科技大学力学与航空航天工程系，复杂流动及软物质研究中心,深圳,518055
- 作者简介：
- 基金信息：
- DOI：10.7638/kqdlxxb-2021.0386
  CLC： O357.5+3
- Published：2022
- 稿件说明：
移动端阅览
谢毅超, 陶鑫, 任磊, 等. 热湍流多重态与热输运效率实验研究[J]. 空气动力学学报, 2022, 40(2): 188−198.

XIE Yichao, TAO Xin, REN Lei, et al. Experimental study of multiple states and heat transport in turbulent thermal convection[J]. 2022, 40(2): 188-198.
谢毅超, 陶鑫, 任磊, 等. 热湍流多重态与热输运效率实验研究[J]. 空气动力学学报, 2022, 40(2): 188−198. DOI： 10.7638/kqdlxxb-2021.0386

XIE Yichao, TAO Xin, REN Lei, et al. Experimental study of multiple states and heat transport in turbulent thermal convection[J]. 2022, 40(2): 188-198. DOI： 10.7638/kqdlxxb-2021.0386.

摘要

湍流多重态是近期湍流研究的热点问题。多重态是指在相同的控制参数下，湍流系统会出现不同的流动结构和统计特性。文章通过实验研究，分析了Rayleigh-Bénard 热湍流系统中的多重态现象以及湍流态与热输运的关系。首先借助粒子图像测速技术直接测量了偶极子流态和四极子流态的空间结构，结果表明通过温度场和速度场测量得到的大尺度湍流结构信息是一致的。通过流动结构和热输运同步测量发现热湍流中存在以不同大尺度湍流结构为典型特征的多重态现象，且高阶模态主导的湍流态的热输运效率高于低阶模态主导的湍流态，说明高对称性流态热输运效率高于低对称性流态，为通过调控大尺度湍流结构从而调控热湍流输运效率提供理论基础。随着热湍流控制参数Rayleigh数的增加，大尺度湍流结构会由高阶模态主导的流态演化到偶极子流态，这里偶极子流态对应于最低阶的流动模态。此外，研究中采用的圆环对流腔体会引入空间约束效应。进一步分析发现空间约束效应不仅会改变大尺度湍流结构的动力学特性，也会改变热湍流的热输运特性：当空间约束导致高阶模态主导的湍流态出现时，其会增强热湍流系统的热输运效率；反之，当空间约束导致低阶模态主导的湍流流态出现时，其则会抑制热湍流系统的热输运效率。

Abstract

The existence of multiple states characterized by different large-scale flow structures or different statistical properties in a turbulent flow has attracted lots of research interests. In this paper

we present an experimental study of multiple states and heat transport in turbulent thermal convection. The experiment was carried out in an annulus Rayleigh-Benard turbulence system with a Rayleigh number (

) range of 2×10

≤

≤ 2.9×10

and at a fixed Prand

tl number of

= 5.4. Consistent with the discovery by Xie

Ding Xia

(

Phys

Rev Lett

120

214501

2018.)

we show in a wider range of

that the large-scale flow bifurcates from a high-heat-transport efficiency state to a low-heat-transport efficiency state. Direct measurements of the flow structure using particle image velocimetry reveal that the large-scale flow in the high-heat-transport state shows a quadrupole structure

and the low-heat-transport state shows a dipole structure. In addition

it is found that the third and fourth flow modes are more efficient in heat transport when compared with the dipole and the quadrupole modes. This observation provides another evidence that the higher the symmetry of the flow

the higher the heat transport efficiency. When the large-scale flow is dominated by the dipole mode

it is showed that there is a preferred orientation which acts as a potential well. Further analysis shows that when the large-scale flow is trapped in this preferred orientation

its random azimuthal meandering is suppressed dramatically with increasing

. The annulus cell used in the present study will unavoidably introduce the spatial confinement effect. It is found that this spatial confinement not only changes the structure of the large-scale flow but also alters its dynamics. Whether spatial confinement leading to an enhanced or a reduced heat transport efficiency depends on the resulting large-scale flow modes

i.e.

when spatial confinement results in higher order flow modes

the heat transport efficiency is enhanced

otherwise reduced.

关键词

Keywords

references

XIA Z H. Multiple states in turbulence[J]. Chinese Science Bulletin, 2019, 64(4): 373-383. (in Chinese)

FARANDA D, SATO Y, SAINT-MICHEL B, et al. Stochastic chaos in a turbulent swirling flow[J]. Physical Review Letters, 2017, 119(1): 014502. DOI:10.1103/PhysRevLett.119.014502

RAVELET F, MARIÉ L, CHIFFAUDEL A, et al. Multistability and memory effect in a highly turbulent flow: experimental evidence for a global bifurcation[J]. Physical Review Letters, 2004, 93(16): 164501. DOI:10.1103/physrevlett.93.164501

RAVELET F, CHIFFAUDEL A, DAVIAUD F. Supercritical transition to turbulence in an inertially driven von Kármán closed flow[J]. Journal of Fluid Mechanics, 2008, 601: 339-364. DOI:10.1017/s0022112008000712

CORTET P P, CHIFFAUDEL A, DAVIAUD F, et al. Experimental evidence of a phase transition in a closed turbulent flow[J]. Physical Review Letters, 2010, 105(21): 214501. DOI:10.1103/PhysRevLett.105.214501

HUISMAN S G, VAN DER VEEN R C A, SUN C, et al. Multiple states in highly turbulent Taylor–Couette flow[J]. Nature Communications, 2014, 5: 3820. DOI:10.1038/ncomms4820

VAN DER VEEN R C A, HUISMAN S G, DUNG O Y, et al. Exploring the phase space of multiple states in highly turbulent Taylor-Couette flow[J]. Physical Review Fluids, 2016, 1(2): 024401. DOI:10.1103/physrevfluids.1.024401

GROSSMANN S, LOHSE D, SUN C. High–Reynolds number Taylor-couette turbulence[J]. Annual Review of Fluid Mechanics, 2016, 48: 53-80. DOI:10.1146/annurev-fluid-122414-034353

GUL M, ELSINGA G E, WESTERWEEL J. Experimental investigation of torque hysteresis behaviour of Taylor–Couette Flow[J]. Journal of Fluid Mechanics, 2018, 836: 635-648. DOI:10.1017/jfm.2017.809

HUANG Y H, XIA Z H, WAN M P, et al. Numerical investigation of plane Couette flow with weak spanwise rotation[J]. Science China Physics, Mechanics Astronomy, 2019, 62(4): 1-13. DOI:10.1007/s11433-018-9310-4

XIA Z H, SHI Y P, CAI Q D, et al. Multiple states in turbulent plane Couette flow with spanwise rotation[J]. Journal of Fluid Mechanics, 2018, 837: 477-490. DOI:10.1017/jfm.2017.869

ZIMMERMAN D S, TRIANA S A, LATHROP D P. Bi-stability in turbulent, rotating spherical Couette flow[J]. Physics of Fluids, 2011, 23(6): 065104. DOI:10.1063/1.3593465

YOKOYAMA N, TAKAOKA M. Hysteretic transitions between quasi-two-dimensional flow and three-dimensional flow in forced rotating turbulence[J]. Physical Review Fluids, 2017, 2(9): 092602. DOI:10.1103/physrevfluids.2.092602

MARSHALL J, SCHOTT F. Open-ocean convection: observations, theory, and models[J]. Reviews of Geophysics, 1999, 37(1): 1-64. DOI:10.1029/98rg02739

HARTMANN D L, MOY L A, FU Q. Tropical convection and the energy balance at the top of the atmosphere[J]. Journal of Climate, 2001, 14(24): 4495-4511. DOI:10.1175/1520-0442(2001)0144495: tcateb2.0.co;2

NI M J. Magnetohydrodynamics relevant to liquid blanket of fusion[J]. Mechanics in Engineering, 2010, 32(5): 1-9. (in Chinese)

AHLERS G, GROSSMANN S, LOHSE D. Heat transfer and large scale dynamics in turbulent Rayleigh-Bénard convection[J]. Reviews of Modern Physics, 2009, 81(2): 503-537. DOI:10.1103/revmodphys.81.503

LOHSE D, XIA K Q. Small-scale properties of turbulent Rayleigh-bénard convection[J]. Annual Review of Fluid Mechanics, 2010, 42: 335-364. DOI:10.1146/annurev.fluid.010908.165152

XIA K Q. Current trends and future directions in turbulent thermal convection[J]. Theoretical and Applied Mechanics Letters, 2013, 3(5): 052001. DOI:10.1063/2.1305201

XI H D, LAM S, XIA K Q. From laminar plumes to organized flows: the onset of large-scale circulation in turbulent thermal convection[J]. Journal of Fluid Mechanics, 2004, 503: 47-56. DOI:10.1017/s0022112004008079

XI H D, XIA K Q. Flow mode transitions in turbulent thermal convection[J]. Physics of Fluids, 2008, 20(5): 055104. DOI:10.1063/1.2920444

STRINGANO G, VERZICCO R. Mean flow structure in thermal convection in a cylindrical cell of aspect ratio one half[J]. Journal of Fluid Mechanics, 2006, 548: 1-16. DOI:10.1017/s0022112005007378

XIE Y C, DING G Y, XIA K Q. Flow topology transition via global bifurcation in thermally driven turbulence[J]. Physical Review Letters, 2018, 120(21): 214501. DOI:10.1103/physrevlett.120.214501

XI H D, XIA K Q. Cessations and reversals of the large-scale circulation in turbulent thermal convection[J]. Physical Review E, 2007, 75(6 Pt 2): 066307. doi: 10.1103/PhysRevE.75.066307

XIE Y C, WEI P, XIA K Q. Dynamics of the large-scale circulation in high-Prandtl-number turbulent thermal convection[J]. Journal of Fluid Mechanics, 2013, 717: 322-346. DOI:10.1017/jfm.2012.574

KUNNEN R P J, STEVENS R J A M, OVERKAMP J, et al. The role of Stewartson and Ekman layers in turbulent rotating Rayleigh–Bénard convection[J]. Journal of Fluid Mechanics, 2011, 688: 422-442. DOI:10.1017/jfm.2011.383

BROWN E, NIKOLAENKO A, AHLERS G. Reorientation of the large-scale circulation in turbulent Rayleigh-Bénard convection[J]. Physical Review Letters, 2005, 95(8): 084503. DOI:10.1103/PhysRevLett.95.084503

XI H D, ZHOU S Q, ZHOU Q, et al. Origin of the temperature oscillation in turbulent thermal convection[J]. Physical Review Letters, 2009, 102(4): 044503. DOI:10.1103/PhysRevLett.102.044503

HUANG S D, XIA K Q. Effects of geometric confinement in quasi-2-D turbulent Rayleigh–Bénard convection[J]. Journal of Fluid Mechanics, 2016, 794: 639-654. DOI:10.1017/jfm.2016.181

ZHU X, ZHOU Q. Flow structures of turbulent Rayleigh–Bénard convection in annular cells with aspect ratio one and larger[J]. Acta Mechanica Sinica, 2021, 37(8): 1291-1298. DOI:10.1007/s10409-021-01104-z

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Dynamic ablation morphology measurement of thermal protection materials using structured light vision

Research on the characteristics of water droplets impacting moving superhydrophobic surfaces and its regulation

Numerical and experimental study on aerodynamic design for the rear wing of an electric sports car

Multi-factor analysis and simulation of particle erosion characteristics of fan blades

Noise prediction and reduction methods for LAGOON landing gear based on Lattice Boltzmann method

Related Author

No data

Related Institution

No data

AI问答

⁰