Turning up the Heat in Turbulent Thermal Convection COMMENTARY Charles R
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Convection Heat Transfer
Convection Heat Transfer Heat transfer from a solid to the surrounding fluid Consider fluid motion Recall flow of water in a pipe Thermal Boundary Layer • A temperature profile similar to velocity profile. Temperature of pipe surface is kept constant. At the end of the thermal entry region, the boundary layer extends to the center of the pipe. Therefore, two boundary layers: hydrodynamic boundary layer and a thermal boundary layer. Analytical treatment is beyond the scope of this course. Instead we will use an empirical approach. Drawback of empirical approach: need to collect large amount of data. Reynolds Number: Nusselt Number: it is the dimensionless form of convective heat transfer coefficient. Consider a layer of fluid as shown If the fluid is stationary, then And Dividing Replacing l with a more general term for dimension, called the characteristic dimension, dc, we get hd N ≡ c Nu k Nusselt number is the enhancement in the rate of heat transfer caused by convection over the conduction mode. If NNu =1, then there is no improvement of heat transfer by convection over conduction. On the other hand, if NNu =10, then rate of convective heat transfer is 10 times the rate of heat transfer if the fluid was stagnant. Prandtl Number: It describes the thickness of the hydrodynamic boundary layer compared with the thermal boundary layer. It is the ratio between the molecular diffusivity of momentum to the molecular diffusivity of heat. kinematic viscosity υ N == Pr thermal diffusivity α μcp N = Pr k If NPr =1 then the thickness of the hydrodynamic and thermal boundary layers will be the same. -
The Influence of Magnetic Fields in Planetary Dynamo Models
Earth and Planetary Science Letters 333–334 (2012) 9–20 Contents lists available at SciVerse ScienceDirect Earth and Planetary Science Letters journal homepage: www.elsevier.com/locate/epsl The influence of magnetic fields in planetary dynamo models Krista M. Soderlund a,n, Eric M. King b, Jonathan M. Aurnou a a Department of Earth and Space Sciences, University of California, Los Angeles, CA 90095, USA b Department of Earth and Planetary Science, University of California, Berkeley, CA 94720, USA article info abstract Article history: The magnetic fields of planets and stars are thought to play an important role in the fluid motions Received 7 November 2011 responsible for their field generation, as magnetic energy is ultimately derived from kinetic energy. We Received in revised form investigate the influence of magnetic fields on convective dynamo models by contrasting them with 27 March 2012 non-magnetic, but otherwise identical, simulations. This survey considers models with Prandtl number Accepted 29 March 2012 Pr¼1; magnetic Prandtl numbers up to Pm¼5; Ekman numbers in the range 10À3 ZEZ10À5; and Editor: T. Spohn Rayleigh numbers from near onset to more than 1000 times critical. Two major points are addressed in this letter. First, we find that the characteristics of convection, Keywords: including convective flow structures and speeds as well as heat transfer efficiency, are not strongly core convection affected by the presence of magnetic fields in most of our models. While Lorentz forces must alter the geodynamo flow to limit the amplitude of magnetic field growth, we find that dynamo action does not necessitate a planetary dynamos dynamo models significant change to the overall flow field. -
On the Inverse Cascade and Flow Speed Scaling Behavior in Rapidly Rotating Rayleigh-Bénard Convection
This draft was prepared using the LaTeX style file belonging to the Journal of Fluid Mechanics 1 On the inverse cascade and flow speed scaling behavior in rapidly rotating Rayleigh-B´enardconvection S. Maffei1;3y, M. J. Krouss1, K. Julien2 and M. A. Calkins1 1Department of Physics, University of Colorado, Boulder, USA 2Department of Applied Mathematics, University of Colorado, Boulder, USA 3School of Earth and Environment, University of Leeds, Leeds, UK (Received xx; revised xx; accepted xx) Rotating Rayleigh-B´enardconvection is investigated numerically with the use of an asymptotic model that captures the rapidly rotating, small Ekman number limit, Ek ! 0. The Prandtl number (P r) and the asymptotically scaled Rayleigh number (Raf = RaEk4=3, where Ra is the typical Rayleigh number) are varied systematically. For sufficiently vigorous convection, an inverse kinetic energy cascade leads to the formation of a depth-invariant large-scale vortex (LSV). With respect to the kinetic energy, we find a transition from convection dominated states to LSV dominated states at an asymptotically reduced (small-scale) Reynolds number of Ref ≈ 6 for all investigated values of P r. The ratio of the depth-averaged kinetic energy to the kinetic energy of the convection reaches a maximum at Ref ≈ 24, then decreases as Raf is increased. This decrease in the relative kinetic energy of the LSV is associated with a decrease in the convective correlations with increasing Rayleigh number. The scaling behavior of the convective flow speeds is studied; although a linear scaling of the form Ref ∼ Ra=Pf r is observed over a limited range in Rayleigh number and Prandtl number, a clear departure from this scaling is observed at the highest accessible values of Raf . -
Rayleigh-Bernard Convection Without Rotation and Magnetic Field
Nonlinear Convection of Electrically Conducting Fluid in a Rotating Magnetic System H.P. Rani Department of Mathematics, National Institute of Technology, Warangal. India. Y. Rameshwar Department of Mathematics, Osmania University, Hyderabad. India. J. Brestensky and Enrico Filippi Faculty of Mathematics, Physics, Informatics, Comenius University, Slovakia. Session: GD3.1 Core Dynamics Earth's core structure, dynamics and evolution: observations, models, experiments. Online EGU General Assembly May 2-8 2020 1 Abstract • Nonlinear analysis in a rotating Rayleigh-Bernard system of electrical conducting fluid is studied numerically in the presence of externally applied horizontal magnetic field with rigid-rigid boundary conditions. • This research model is also studied for stress free boundary conditions in the absence of Lorentz and Coriolis forces. • This DNS approach is carried near the onset of convection to study the flow behaviour in the limiting case of Prandtl number. • The fluid flow is visualized in terms of streamlines, limiting streamlines and isotherms. The dependence of Nusselt number on the Rayleigh number, Ekman number, Elasser number is examined. 2 Outline • Introduction • Physical model • Governing equations • Methodology • Validation – RBC – 2D – RBC – 3D • Results – RBC – RBC with magnetic field (MC) – Plane layer dynamo (RMC) 3 Introduction • Nonlinear interaction between convection and magnetic fields (Magnetoconvection) may explain certain prominent features on the solar surface. • Yet we are far from a real understanding of the dynamical coupling between convection and magnetic fields in stars and magnetically confined high-temperature plasmas etc. Therefore it is of great importance to understand how energy transport and convection are affected by an imposed magnetic field: i.e., how the Lorentz force affects convection patterns in sunspots and magnetically confined, high-temperature plasmas. -
Arxiv:1903.08882V2 [Physics.Flu-Dyn] 6 Jun 2019
Lattice Boltzmann simulations of three-dimensional thermal convective flows at high Rayleigh number Ao Xua,∗, Le Shib, Heng-Dong Xia aSchool of Aeronautics, Northwestern Polytechnical University, Xi'an 710072, China bState Key Laboratory of Electrical Insulation and Power Equipment, Center of Nanomaterials for Renewable Energy, School of Electrical Engineering, Xi'an Jiaotong University, Xi'an 710049, China Abstract We present numerical simulations of three-dimensional thermal convective flows in a cubic cell at high Rayleigh number using thermal lattice Boltzmann (LB) method. The thermal LB model is based on double distribution function ap- proach, which consists of a D3Q19 model for the Navier-Stokes equations to simulate fluid flows and a D3Q7 model for the convection-diffusion equation to simulate heat transfer. Relaxation parameters are adjusted to achieve the isotropy of the fourth-order error term in the thermal LB model. Two types of thermal convective flows are considered: one is laminar thermal convection in side-heated convection cell, which is heated from one vertical side and cooled from the other vertical side; while the other is turbulent thermal convection in Rayleigh-B´enardconvection cell, which is heated from the bottom and cooled from the top. In side-heated convection cell, steady results of hydrodynamic quantities and Nusselt numbers are presented at Rayleigh numbers of 106 and 107, and Prandtl number of 0.71, where the mesh sizes are up to 2573; in Rayleigh-B´enardconvection cell, statistical averaged results of Reynolds and Nusselt numbers, as well as kinetic and thermal energy dissipation rates are presented at Rayleigh numbers of 106, 3×106, and 107, and Prandtl numbers of arXiv:1903.08882v2 [physics.flu-dyn] 6 Jun 2019 ∗Corresponding author Email address: [email protected] (Ao Xu) DOI: 10.1016/j.ijheatmasstransfer.2019.06.002 c 2019. -
Time-Periodic Cooling of Rayleigh–Bénard Convection
fluids Article Time-Periodic Cooling of Rayleigh–Bénard Convection Lyes Nasseri 1 , Nabil Himrane 2, Djamel Eddine Ameziani 1 , Abderrahmane Bourada 3 and Rachid Bennacer 4,* 1 LTPMP (Laboratoire de Transports Polyphasiques et Milieux Poreux), Faculty of Mechanical and Proceeding Engineering, USTHB (Université des Sciences et de la Technologie Houari Boumedienne), Algiers 16111, Algeria; [email protected] (L.N.); [email protected] (D.E.A.) 2 Labo of Energy and Mechanical Engineering (LEMI), Faculty of Technology, UMBB (Université M’hamed Bougara-Boumerdes, Boumerdes 35000, Algeria; [email protected] 3 Laboratory of Transfer Phenomena, RSNE (Rhéologie et Simulation Numérique des Ecoulements) Team, FGMGP (Faculté de génie Mécaniques et de Génie des Procédés Engineering), USTHB (Université des Sciences et de la Technologie Houari Boumedienne), Bab Ezzouar, Algiers 16111, Algeria; [email protected] 4 CNRS (Centre National de la Recherche Scientifique), LMT (Laboratoire de Mécanique et Technologie—Labo. Méca. Tech.), Université Paris-Saclay, ENS (Ecole National Supérieure) Paris-Saclay, 91190 Gif-sur-Yvette, France * Correspondence: [email protected] Abstract: The problem of Rayleigh–Bénard’s natural convection subjected to a temporally periodic cooling condition is solved numerically by the Lattice Boltzmann method with multiple relaxation time (LBM-MRT). The study finds its interest in the field of thermal comfort where current knowledge has gaps in the fundamental phenomena requiring their exploration. The Boussinesq approximation is considered in the resolution of the physical problem studied for a Rayleigh number taken in the range 103 ≤ Ra ≤ 106 with a Prandtl number equal to 0.71 (air as working fluid). -
Presentation
Scaling laws for dynamos in rotating spherical shells and applications to planetary magnetic fields Ulrich Christensen Max-Planck-Institute for Solar System Research, Katlenburg-Lindau, Germany In collaboration with Julien Aubert, Carsten Kutzner, Peter Olson, Andreas Tilgner, Johannes Wicht Outline of geodynamo models Solve equations of thermal / compositional con- vection and magnetic induction in a rotating and electrically conducting spherical shell • Fundamental MHD equations • Some parameters not Earth-like Fluid outer core • Differences between models: - parameter values Solid inner core - boundary conditions - mode of driving convection Tangent cylinder Successes of geodynamo modeling Earth’s radial magnetic field at CMB Dipole tilt | 1 million years | Dynamo model field at full resolution and filtered to ℓ < 13 Tilt of dipole axis vs. time in dynamo model Control parameters Name Force Earth Model balance value values Rayleigh Buoyancy 5000 x < 50 x Ra* number Retarding forces critical critical Ekman Viscosity E 10-14 ≥ 3x10-6 number Coriolis force Prandtl Viscosity Pr 0.1 - 1 0.1 - 10 number Thermal diffusion Magnetic Viscosity Pm 10-6 0.06 - 10 Prandtl # Magnetic diffusion Models all wrong ? • Geodynamo models successfully reproduced the properties of the geomagnetic field • This is surprising, because several control parameters are far from Earth values (viscosity and thermal diffusivity too large) • Pessimistic view: Models give right answer for wrong reasons • Optimistic assumption: Models are already in regime where diffusion -
Turbulent Superstructures in Rayleigh-Bأ©Nard Convection
ARTICLE DOI: 10.1038/s41467-018-04478-0 OPEN Turbulent superstructures in Rayleigh-Bénard convection Ambrish Pandey 1, Janet D. Scheel 2 & Jörg Schumacher 1 Turbulent Rayleigh-Bénard convection displays a large-scale order in the form of rolls and cells on lengths larger than the layer height once the fluctuations of temperature and velocity are removed. These turbulent superstructures are reminiscent of the patterns close to the fl 1234567890():,; onset of convection. Here we report numerical simulations of turbulent convection in uids at different Prandtl number ranging from 0.005 to 70 and for Rayleigh numbers up to 107.We identify characteristic scales and times that separate the fast, small-scale turbulent fluc- tuations from the gradually changing large-scale superstructures. The characteristic scales of the large-scale patterns, which change with Prandtl and Rayleigh number, are also correlated with the boundary layer dynamics, and in particular the clustering of thermal plumes at the top and bottom plates. Our analysis suggests a scale separation and thus the existence of a simplified description of the turbulent superstructures in geo- and astrophysical settings. 1 Institut für Thermo- und Fluiddynamik, Technische Universität Ilmenau, Postfach 100565, D-98684 Ilmenau, Germany. 2 Department of Physics, Occidental College, 1600 Campus Road, M21, Los Angeles, CA 90041, USA. Correspondence and requests for materials should be addressed to J.S. (email: [email protected]) NATURE COMMUNICATIONS | (2018) 9:2118 | DOI: 10.1038/s41467-018-04478-0 | www.nature.com/naturecommunications 1 ARTICLE NATURE COMMUNICATIONS | DOI: 10.1038/s41467-018-04478-0 arge temperature differences across a horizontally extended be able to separate the fast, small-scale turbulent fluctuations of fluid layer induce a turbulent convective fluid motion which velocity and temperature from the gradual variation of the large- L 1 is relevant in numerous geo- and astrophysical systems . -
Free Convective Heat Transfer from an Object at Low Rayleigh Number 23
Free Convective Heat Transfer From an Object at Low Rayleigh Number 23 FREE CONVECTIVE HEAT TRANSFER FROM AN OBJECT AT LOW RAYLEIGH NUMBER Md. Golam Kader and Khandkar Aftab Hossain* Department of Mechanical Engineering, Khulna University of Engineering & Technology, Khulna 9203, Bangladesh. *Corresponding e-mail: [email protected],ac.bd Abstract: Free convective heat transfer from a heated object in very large enclosure is investigated in the present work. Numerical investigation is conducted to explore the fluid flow and heat transfer behavior in the very large enclosure with heated object at the bottom. Heat is released from the heated object by natural convection. Entrainment is coming from the surrounding. The two dimensional Continuity, Navier-Stokes equation and Energy equation have been solved by the finite difference method. Uniform grids are used in the axial direction and non-uniform grids are specified in the vertical direction. The differential equations are discretized using Central difference method and Forward difference method. The discritized equations with proper boundary conditions are sought by SUR method. It has been done on the basis of stream function and vorticity formulation. The flow field is investigated for fluid flowing with Rayleigh numbers in the range of 1.0 ≤ Ra ≤ 1.0×103 and Pr=0.71. It is observed that the distortion of flow started at Rayleigh number Ra=10. It is observed that the average heat transfer remains constant for higher values of Reyleigh number and heating efficiency varies with Ra upto the value of Ra=35 and beyond this value heating efficiency remains constant. Keywords: Free convection, enclosure, distortion, Rayliegh no., vorticity. -
Convection, Stability and Turbulence
Convection, Stability and Turbulence Lecturer: Charlie Doering Notes written by: Chris Cawthorn & Toby Wood 18 June 2008 1 Introduction The three basic forms of heat transport are: Radiation • Conduction • Convection • In many physical systems, all of these processes may play a role (see Figures 1{2 below). Convection is buoyancy-driven flow due to density variations in a gravitational field. It is particularly important as it enhances the vertical heat transport. For example, without convection, it would take many hours to heat a saucepan of water to boiling point, simply because heat diffusion in water is so weak (κ 1:5 10−3cm2 s−1). ≈ × Figure 1: Heat transfer in a saucepan. 2 Rayleigh-B´enard convection In 1900, Henri B´enard [2] performed an experiment concerning convection cells in a thin liquid layer. He observed spontaneous pattern formation - the convection was seen to organise itself into hexagonal cells throughout the entire domain, as shown in Figure 3. 19 Figure 2: Heat transfer in the Earth and Sun. Figure 3: Convection cells in B´enard's experiment and on the surface of the Sun. Rayleigh [28] was the first to undertake a mathematical theory of fluid convection. His analysis described the formation of convection rolls for fluid confined between parallel plates held at different temperatures. The width of the rolls at convective onset is proportional to the depth of the fluid layer, but also depends on details of the boundary conditions. However, these convection rolls are a different physical phenomenon to the convection cells observed by B´enard. Such convection cells are now known to be associated with Marangoni flows, where variations of surface tension with temperature play a crucial role. -
Experiments on Rayleigh–Bénard Convection, Magnetoconvection
J. Fluid Mech. (2001), vol. 430, pp. 283–307. Printed in the United Kingdom 283 c 2001 Cambridge University Press Experiments on Rayleigh–Benard´ convection, magnetoconvection and rotating magnetoconvection in liquid gallium By J. M. AURNOU AND P. L. OLSON Department of Earth and Planetary Sciences,† Johns Hopkins University, Baltimore, MD 21218, USA (Received 4 March 1999 and in revised form 12 September 2000) Thermal convection experiments in a liquid gallium layer subject to a uniform rotation and a uniform vertical magnetic field are carried out as a function of rotation rate and magnetic field strength. Our purpose is to measure heat transfer in a low-Prandtl-number (Pr =0.023), electrically conducting fluid as a function of the applied temperature difference, rotation rate, applied magnetic field strength and fluid-layer aspect ratio. For Rayleigh–Benard´ (non-rotating, non-magnetic) convection 0.272 0.006 we obtain a Nusselt number–Rayleigh number law Nu =0.129Ra ± over the range 3.0 103 <Ra<1.6 104. For non-rotating magnetoconvection, we find that the critical× Rayleigh number× RaC increases linearly with magnetic energy density, and a heat transfer law of the form Nu Ra1/2. Coherent thermal oscillations are detected in magnetoconvection at 1.4Ra∼C . For rotating magnetoconvection, we find that the convective heat transfer is∼ inhibited by rotation, in general agreement with theoretical predictions. At low rotation rates, the critical Rayleigh number increases linearly with magnetic field intensity. At moderate rotation rates, coherent thermal oscillations are detected near the onset of convection. The oscillation frequencies are close to the frequency of rotation, indicating inertially driven, oscillatory convection. -
Natural Convection Heat Transfer in Horizontal Cylindrical Cavities: a Computational Fluid Dynamics (Cfd) Investigation
Proceedings of the ASME 2013 Power Conference Power2013 July 29-August 1, 2013, Boston, Massachusetts, U.S.A. Power2013-98014 NATURAL CONVECTION HEAT TRANSFER IN HORIZONTAL CYLINDRICAL CAVITIES: A COMPUTATIONAL FLUID DYNAMICS (CFD) INVESTIGATION. Daniele Ludovisi Ivo A. Garza Sargent & Lundy LLC Sargent & Lundy LLC Nuclear Plant Analytical Group Nuclear Plant Analytical Group 55 E. Monroe St., Chicago, Illinois 60603, USA 55 E. Monroe St., Chicago, Illinois 60603, USA Email: [email protected] Email: [email protected] ABSTRACT g Gravitational acceleration; Many processes in power plants involve the storage and h Convection heat transfer coefficient; th transfer of fluids including water in outdoor pipelines. Under J0 0 Bessel function of the first kind; st extreme cold weather conditions, water can freeze if allowed to J1 1 Bessel function of the first kind; cool down to the freezing temperature. Installing insulation and k Thermal conductivity of the fluid; maintaining adequate flow rate can sometimes prevent prob- L Pipe length; lems. However, during extended non-processing times, there m Integer counter: 1, 2, 3, ...; are circumstances where cool down cannot be avoided and heat Nu Nusselt number; tracing along the piping becomes a necessity. Pr Prandtl number; In many instances, the need for the installation of heat trac- q0 Heat transfer per unit length of the pipe; ing is simply determined based on pipe size. However, by per- r Pipe radial coordinate; forming accurate calculations, it is possible to determine if the R Pipe inside radius; need for heat tracing is real or not, thus saving on installation Ra Rayleigh number; and maintenance costs.