MHD Turbulence at Moderate Magnetic Reynolds Number
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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. -
Small-Scale Dynamo Action in Rotating Compressible Convection
Small-scale dynamo action in rotating compressible convection B. Favier∗and P.J. Bushby School of Mathematics and Statistics, Newcastle University, Newcastle upon Tyne NE1 7RU, UK Abstract We study dynamo action in a convective layer of electrically-conducting, compressible fluid, rotating about the vertical axis. At the upper and lower bounding surfaces, perfectly- conducting boundary conditions are adopted for the magnetic field. Two different levels of thermal stratification are considered. If the magnetic diffusivity is sufficiently small, the con- vection acts as a small-scale dynamo. Using a definition for the magnetic Reynolds number RM that is based upon the horizontal integral scale and the horizontally-averaged velocity at the mid-layer of the domain, we find that rotation tends to reduce the critical value of RM above which dynamo action is observed. Increasing the level of thermal stratification within the layer does not significantly alter the critical value of RM in the rotating calculations, but it does lead to a reduction in this critical value in the non-rotating cases. At the highest computationally-accessible values of the magnetic Reynolds number, the saturation levels of the dynamo are similar in all cases, with the mean magnetic energy density somewhere be- tween 4 and 9% of the mean kinetic energy density. To gain further insights into the differences between rotating and non-rotating convection, we quantify the stretching properties of each flow by measuring Lyapunov exponents. Away from the boundaries, the rate of stretching due to the flow is much less dependent upon depth in the rotating cases than it is in the corre- sponding non-rotating calculations. -
Laws of Similarity in Fluid Mechanics 21
Laws of similarity in fluid mechanics B. Weigand1 & V. Simon2 1Institut für Thermodynamik der Luft- und Raumfahrt (ITLR), Universität Stuttgart, Germany. 2Isringhausen GmbH & Co KG, Lemgo, Germany. Abstract All processes, in nature as well as in technical systems, can be described by fundamental equations—the conservation equations. These equations can be derived using conservation princi- ples and have to be solved for the situation under consideration. This can be done without explicitly investigating the dimensions of the quantities involved. However, an important consideration in all equations used in fluid mechanics and thermodynamics is dimensional homogeneity. One can use the idea of dimensional consistency in order to group variables together into dimensionless parameters which are less numerous than the original variables. This method is known as dimen- sional analysis. This paper starts with a discussion on dimensions and about the pi theorem of Buckingham. This theorem relates the number of quantities with dimensions to the number of dimensionless groups needed to describe a situation. After establishing this basic relationship between quantities with dimensions and dimensionless groups, the conservation equations for processes in fluid mechanics (Cauchy and Navier–Stokes equations, continuity equation, energy equation) are explained. By non-dimensionalizing these equations, certain dimensionless groups appear (e.g. Reynolds number, Froude number, Grashof number, Weber number, Prandtl number). The physical significance and importance of these groups are explained and the simplifications of the underlying equations for large or small dimensionless parameters are described. Finally, some examples for selected processes in nature and engineering are given to illustrate the method. 1 Introduction If we compare a small leaf with a large one, or a child with its parents, we have the feeling that a ‘similarity’ of some sort exists. -
The Role of MHD Turbulence in Magnetic Self-Excitation in The
THE ROLE OF MHD TURBULENCE IN MAGNETIC SELF-EXCITATION: A STUDY OF THE MADISON DYNAMO EXPERIMENT by Mark D. Nornberg A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy (Physics) at the UNIVERSITY OF WISCONSIN–MADISON 2006 °c Copyright by Mark D. Nornberg 2006 All Rights Reserved i For my parents who supported me throughout college and for my wife who supported me throughout graduate school. The rest of my life I dedicate to my daughter Margaret. ii ACKNOWLEDGMENTS I would like to thank my adviser Cary Forest for his guidance and support in the completion of this dissertation. His high expectations and persistence helped drive the work presented in this thesis. I am indebted to him for the many opportunities he provided me to connect with the world-wide dynamo community. I would also like to thank Roch Kendrick for leading the design, construction, and operation of the experiment. He taught me how to do science using nothing but duct tape, Sharpies, and Scotch-Brite. He also raised my appreciation for the artistry of engineer- ing. My thanks also go to the many undergraduate students who assisted in the construction of the experiment, especially Craig Jacobson who performed graduate-level work. My research partner, Erik Spence, deserves particular thanks for his tireless efforts in modeling the experiment. His persnickety emendations were especially appreciated as we entered the publi- cation stage of the experiment. The conversations during our morning commute to the lab will be sorely missed. I never imagined forging such a strong friendship with a colleague, and I hope our families remain close despite great distance. -
1 Fluid Flow Outline Fundamentals of Rheology
Fluid Flow Outline • Fundamentals and applications of rheology • Shear stress and shear rate • Viscosity and types of viscometers • Rheological classification of fluids • Apparent viscosity • Effect of temperature on viscosity • Reynolds number and types of flow • Flow in a pipe • Volumetric and mass flow rate • Friction factor (in straight pipe), friction coefficient (for fittings, expansion, contraction), pressure drop, energy loss • Pumping requirements (overcoming friction, potential energy, kinetic energy, pressure energy differences) 2 Fundamentals of Rheology • Rheology is the science of deformation and flow – The forces involved could be tensile, compressive, shear or bulk (uniform external pressure) • Food rheology is the material science of food – This can involve fluid or semi-solid foods • A rheometer is used to determine rheological properties (how a material flows under different conditions) – Viscometers are a sub-set of rheometers 3 1 Applications of Rheology • Process engineering calculations – Pumping requirements, extrusion, mixing, heat transfer, homogenization, spray coating • Determination of ingredient functionality – Consistency, stickiness etc. • Quality control of ingredients or final product – By measurement of viscosity, compressive strength etc. • Determination of shelf life – By determining changes in texture • Correlations to sensory tests – Mouthfeel 4 Stress and Strain • Stress: Force per unit area (Units: N/m2 or Pa) • Strain: (Change in dimension)/(Original dimension) (Units: None) • Strain rate: Rate -
Effects of a Uniform Magnetic Field on a Growing Or Collapsing Bubble in a Weakly Viscous Conducting Fluid K
Effects of a uniform magnetic field on a growing or collapsing bubble in a weakly viscous conducting fluid K. H. Kang, I. S. Kang, and C. M. Lee Citation: Phys. Fluids 14, 29 (2002); doi: 10.1063/1.1425410 View online: http://dx.doi.org/10.1063/1.1425410 View Table of Contents: http://pof.aip.org/resource/1/PHFLE6/v14/i1 Published by the American Institute of Physics. Related Articles Dynamics of magnetic chains in a shear flow under the influence of a uniform magnetic field Phys. Fluids 24, 042001 (2012) Travelling waves in a cylindrical magnetohydrodynamically forced flow Phys. Fluids 24, 044101 (2012) Two-dimensional numerical analysis of electroconvection in a dielectric liquid subjected to strong unipolar injection Phys. Fluids 24, 037102 (2012) Properties of bubbled gases transportation in a bromothymol blue aqueous solution under gradient magnetic fields J. Appl. Phys. 111, 07B326 (2012) Magnetohydrodynamic flow of a binary electrolyte in a concentric annulus Phys. Fluids 24, 037101 (2012) Additional information on Phys. Fluids Journal Homepage: http://pof.aip.org/ Journal Information: http://pof.aip.org/about/about_the_journal Top downloads: http://pof.aip.org/features/most_downloaded Information for Authors: http://pof.aip.org/authors Downloaded 07 May 2012 to 132.236.27.111. Redistribution subject to AIP license or copyright; see http://pof.aip.org/about/rights_and_permissions PHYSICS OF FLUIDS VOLUME 14, NUMBER 1 JANUARY 2002 Effects of a uniform magnetic field on a growing or collapsing bubble in a weakly viscous conducting fluid K. H. Kang Department of Mechanical Engineering, Pohang University of Science and Technology, San 31, Hyoja-dong, Pohang 790-784, Korea I. -
Turbulent-Prandtl-Number.Pdf
Atmospheric Research 216 (2019) 86–105 Contents lists available at ScienceDirect Atmospheric Research journal homepage: www.elsevier.com/locate/atmosres Invited review article Turbulent Prandtl number in the atmospheric boundary layer - where are we T now? ⁎ Dan Li Department of Earth and Environment, Boston University, Boston, MA 02215, USA ARTICLE INFO ABSTRACT Keywords: First-order turbulence closure schemes continue to be work-horse models for weather and climate simulations. Atmospheric boundary layer The turbulent Prandtl number, which represents the dissimilarity between turbulent transport of momentum and Cospectral budget model heat, is a key parameter in such schemes. This paper reviews recent advances in our understanding and modeling Thermal stratification of the turbulent Prandtl number in high-Reynolds number and thermally stratified atmospheric boundary layer Turbulent Prandtl number (ABL) flows. Multiple lines of evidence suggest that there are strong linkages between the mean flowproperties such as the turbulent Prandtl number in the atmospheric surface layer (ASL) and the energy spectra in the inertial subrange governed by the Kolmogorov theory. Such linkages are formalized by a recently developed cospectral budget model, which provides a unifying framework for the turbulent Prandtl number in the ASL. The model demonstrates that the stability-dependence of the turbulent Prandtl number can be essentially captured with only two phenomenological constants. The model further explains the stability- and scale-dependences -
Chapter 5 Dimensional Analysis and Similarity
Chapter 5 Dimensional Analysis and Similarity Motivation. In this chapter we discuss the planning, presentation, and interpretation of experimental data. We shall try to convince you that such data are best presented in dimensionless form. Experiments which might result in tables of output, or even mul- tiple volumes of tables, might be reduced to a single set of curves—or even a single curve—when suitably nondimensionalized. The technique for doing this is dimensional analysis. Chapter 3 presented gross control-volume balances of mass, momentum, and en- ergy which led to estimates of global parameters: mass flow, force, torque, total heat transfer. Chapter 4 presented infinitesimal balances which led to the basic partial dif- ferential equations of fluid flow and some particular solutions. These two chapters cov- ered analytical techniques, which are limited to fairly simple geometries and well- defined boundary conditions. Probably one-third of fluid-flow problems can be attacked in this analytical or theoretical manner. The other two-thirds of all fluid problems are too complex, both geometrically and physically, to be solved analytically. They must be tested by experiment. Their behav- ior is reported as experimental data. Such data are much more useful if they are ex- pressed in compact, economic form. Graphs are especially useful, since tabulated data cannot be absorbed, nor can the trends and rates of change be observed, by most en- gineering eyes. These are the motivations for dimensional analysis. The technique is traditional in fluid mechanics and is useful in all engineering and physical sciences, with notable uses also seen in the biological and social sciences. -
Fluid Mechanics of Liquid Metal Batteries
Fluid Mechanics of Liquid Metal Douglas H. Kelley Batteries Department of Mechanical Engineering, University of Rochester, The design and performance of liquid metal batteries (LMBs), a new technology for grid- Rochester, NY 14627 scale energy storage, depend on fluid mechanics because the battery electrodes and elec- e-mail: [email protected] trolytes are entirely liquid. Here, we review prior and current research on the fluid mechanics of LMBs, pointing out opportunities for future studies. Because the technology Tom Weier in its present form is just a few years old, only a small number of publications have so far Institute of Fluid Dynamics, considered LMBs specifically. We hope to encourage collaboration and conversation by Helmholtz-Zentrum Dresden-Rossendorf, referencing as many of those publications as possible here. Much can also be learned by Bautzner Landstr. 400, linking to extensive prior literature considering phenomena observed or expected in Dresden 01328, Germany LMBs, including thermal convection, magnetoconvection, Marangoni flow, interface e-mail: [email protected] instabilities, the Tayler instability, and electro-vortex flow. We focus on phenomena, materials, length scales, and current densities relevant to the LMB designs currently being commercialized. We try to point out breakthroughs that could lead to design improvements or make new mechanisms important. [DOI: 10.1115/1.4038699] 1 Introduction of their design speed, in order for the grid to function properly. Changes to any one part of the grid affect all parts of the grid. The The story of fluid mechanics research in LMBs begins with implications of this interconnectedness are made more profound one very important application: grid-scale storage. -
Turbulent Prandtl Number and Its Use in Prediction of Heat Transfer Coefficient for Liquids
Nahrain University, College of Engineering Journal (NUCEJ) Vol.10, No.1, 2007 pp.53-64 Basim O. Hasan Chemistry. Engineering Dept.- Nahrain University Turbulent Prandtl Number and its Use in Prediction of Heat Transfer Coefficient for Liquids Basim O. Hasan, Ph.D Abstract: eddy conductivity is unspecified in the case of heat transfer. The classical approach for obtaining the A theoretical study is performed to determine the transport mechanism for the heat transfer problem turbulent Prandtl number (Prt ) for liquids of wide follows the laminar approach, namely, the momentum range of molecular Prandtl number (Pr=1 to 600) and thermal transport mechanisms are related by a under turbulent flow conditions of Reynolds number factor, the Prandtl number, hence combining the range 10000- 100000 by analysis of experimental molecular and eddy viscosities one obtain the momentum and heat transfer data of other authors. A Boussinesq relation for shear stress: semi empirical correlation for Prt is obtained and employed to predict the heat transfer coefficient for du the investigated range of Re and molecular Prandtl ( ) 1 number (Pr). Also an expression for momentum eddy m dy diffusivity is developed. The results revealed that the Prt is less than 0.7 and is function of both Re and Pr according to the following relation: and the analogous relation for heat flux: Prt=6.374Re-0.238 Pr-0.161 q dT The capability of many previously proposed models of ( h ) 2 Prt in predicting the heat transfer coefficient is c p dy examined. Cebeci [1973] model is found to give good The turbulent Prandtl number is the ratio between the accuracy when used with the momentum eddy momentum and thermal eddy diffusivities, i.e., Prt= m/ diffusivity developed in the present analysis. -
Magneto Hydro-Dynamics and Heat Transfer in Liquid Metal Flows
4 Magneto Hydro-Dynamics and Heat Transfer in Liquid Metal Flows J. S. Rao and Hari Sankar Altair Engineering India Pvt. Ltd., Bengaluru, 560103 India 1. Introduction Liquid metals are considered to be the most promising coolants for high temperature applications like nuclear fusion reactors because of the inherent high thermal diffusivity, thermal conductivity and hence excellent heat transfer characteristics. The coolant used in nuclear reactor should have high heat extraction rate. The high melting point and boiling point which eliminates the possibility of local boiling makes liquid metals more attractive to high temperature applications. The thermal entrance length of liquid metals are relatively high leading to flow never reaching fully developed condition which is always advantageous for heat transfer applications as the Nusselt number value is higher in a developing flow than a fully developed flow. The molecular properties of liquid metals are such that the thermal diffusion is faster than momentum diffusion having Prandtl number << 1. The thermal boundary layer for liquid metal flow is not only confined to the near wall region but also extends to the turbulent core region which makes the turbulent structures important in transfer of heat. As turbulence plays an important role in transfer of heat from the viscous sub-layer to the core flow, it is necessary to maintain high turbulence to achieve high convective heat transfer rates. It may also be noted that surrounding magnetic fields reduce the turbulence and flow becomes more streamlined. Lithium is the lightest of all metals and has the highest specific heat per unit mass. Lithium is characterized by large thermal conductivity and thermal diffusivity, low viscosity, low vapor pressure as shown in table 1. -
Appendixes 1–8
Appendixes 1–8 Appendix 1: The Equation of Continuity for Incompressible Fluid Rectangular (Cartesian) coordinates (x, y, z) @ @ @ .v / C .v / C .v / D 0 (A.1) @x x @y y @z z Circular cylindrical coordinates (r, ,z) 1 @ 1 @ @ .rv / C .v / C .v / D 0 (A.2) r @r r r @ @z z Spherical coordinates (r,, ®) 1 @ 1 @ 1 @ r2v C .v sin/ C .v / D 0 (A.3) r2 @r r r sin @ r sin @' ' Appendix 2: The Conservation of Mass for Species Rectangular (Cartesian) coordinates (x, y, z)  à @c @c @c @c @2c @2c @2c C v C v C v D D C C (A.4) @t x @x y @y z @z @x2 @y2 @z2 Circular cylindrical coordinates (r, ,z)  à @c @c 1 @c @c 1 @ @c 1 @2c @2c C v C v C v D D r C C (A.5) @t r @r r @ z @z r @r @r r2 @ 2 @z2 S. Asai, Electromagnetic Processing of Materials, Fluid Mechanics 151 and Its Applications 99, DOI 10.1007/978-94-007-2645-1, © Springer ScienceCBusiness Media B.V. 2012 152 Appendixes 1–8 Spherical coordinates (r, , ®)  à @c @c 1 @c 1 @c 1 @ @c C v C v C v D D r2 @t r @r r @ ' r sin @' r2 @r @r  à 1 @ @c 1 @2c C sin C r2 sin @ @ r2sin2 @'2 (A.6) Appendix 3: The Equation of Energy for Incompressible Fluid Rectangular (Cartesian) coordinates (x, y, z)  à  à @T @T @T @T @2T @2T @2T c C v C v C v D C C (A.7) p @t x @x y @y z @z @x2 @y2 @z2 Circular cylindrical coordinates (r, ,z)  à  à @T @T 1 @T @T 1 @ @T 1 @2T @2T c C v C v C v D r C C p @t r @r r @ z @z r @r @r r2 @ 2 @z2 (A.8) Spherical coordinates (r,, ®)  à @T @T 1 @T 1 @T c C v C v C v p @t r @r r @ ' r sin @'  à  à 1 @ @T 1 @ @T 1 @2T D r2 C sin C (A.9) r2 @r @r r2sin