The Role of MHD Turbulence in Magnetic Self-Excitation in The
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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. -
Cavitation in Valves
VM‐CAV/WP White Paper Cavitation in Valves Table of Contents Introduction. 2 Cavitation Analysis. 2 Cavitation Data. 3 Valve Coefficient Data. 4 Example Application. .. 5 Conclusion & Recommendations . 5 References. 6 Val‐Matic Valve & Mfg. Corp. • www.valmatic.com • [email protected] • PH: 630‐941‐7600 Copyright © 2018 Val‐Matic Valve & Mfg. Corp. Cavitation in Valves INTRODUCTION Cavitation can occur in valves when used in throttling or modulating service. Cavitation is the sudden vaporization and violent condensation of a liquid downstream of the valve due to localized low pressure zones. When flow passes through a throttled valve, a localized low pressure zone forms immediately downstream of the valve. If the localized pressure falls below the vapor pressure of the fluid, the liquid vaporizes (boils) and forms a vapor pocket. As the vapor bubbles flow downstream, the pressure recovers, and the bubbles violently implode causing a popping or rumbling sound similar to tumbling rocks in a pipe. The sound of cavitation in a pipeline is unmistakable. The condensation of the bubbles not only produces a ringing sound, but also creates localized stresses in the pipe walls and valve body that can cause severe pitting. FIGURE 1. Cavitation Cavitation is a common occurrence in shutoff valves during the last few degrees of closure when the supply pressure is greater than about 100 psig. Valves can withstand limited durations of cavitation, but when the valve must be throttled or modulated in cavitating conditions for long periods of time, the life of the valve can be drastically reduced. Therefore, an analysis of flow conditions is needed when a valve is used for flow or pressure control. -
Control Valve Sizing Theory, Cavitation, Flashing Noise, Flashing and Cavitation Valve Pressure Recovery Factor
Control Valve Sizing Theory, Cavitation, Flashing Noise, Flashing and Cavitation Valve Pressure Recovery Factor When a fluid passes through the valve orifice there is a marked increase in velocity. Velocity reaches a maximum and pressure a minimum at the smallest sectional flow area just downstream of the orifice opening. This point of maximum velocity is called the Vena Contracta. Downstream of the Vena Contracta the fluid velocity decelerates and the pressure increases of recovers. The more stream lined valve body designs like butterfly and ball valves exhibit a high degree of pressure recovery where as Globe style valves exhibit a lower degree of pressure recovery because of the Globe geometry the velocity is lower through the vena Contracta. The Valve Pressure Recovery Factor is used to quantify this maximum velocity at the vena Contracta and is derived by testing and published by control valve manufacturers. The Higher the Valve Pressure Recovery Factor number the lower the downstream recovery, so globe style valves have high recovery factors. ISA uses FL to represent the Valve Recovery Factor is valve sizing equations. Flow Through a restriction • As fluid flows through a restriction, the Restriction Vena Contracta fluid’s velocity increases. Flow • The Bernoulli Principle P1 P2 states that as the velocity of a fluid or gas increases, its pressure decreases. Velocity Profile • The Vena Contracta is the point of smallest flow area, highest velocity, and Pressure Profile lowest pressure. Terminology Vapor Pressure Pv The vapor pressure of a fluid is the pressure at which the fluid is in thermodynamic equilibrium with its condensed state. -
Anomalous Viscosity, Resistivity, and Thermal Diffusivity of the Solar
Anomalous Viscosity, Resistivity, and Thermal Diffusivity of the Solar Wind Plasma Mahendra K. Verma Department of Physics, Indian Institute of Technology, Kanpur 208016, India November 12, 2018 Abstract In this paper we have estimated typical anomalous viscosity, re- sistivity, and thermal difffusivity of the solar wind plasma. Since the solar wind is collsionless plasma, we have assumed that the dissipation in the solar wind occurs at proton gyro radius through wave-particle interactions. Using this dissipation length-scale and the dissipation rates calculated using MHD turbulence phenomenology [Verma et al., 1995a], we estimate the viscosity and proton thermal diffusivity. The resistivity and electron’s thermal diffusivity have also been estimated. We find that all our transport quantities are several orders of mag- nitude higher than those calculated earlier using classical transport theories of Braginskii. In this paper we have also estimated the eddy turbulent viscosity. arXiv:chao-dyn/9509002v1 5 Sep 1995 1 1 Introduction The solar wind is a collisionless plasma; the distance travelled by protons between two consecutive Coulomb collisions is approximately 3 AU [Barnes, 1979]. Therefore, the dissipation in the solar wind involves wave-particle interactions rather than particle-particle collisions. For the observational evidence of the wave-particle interactions in the solar wind refer to the review articles by Gurnett [1991], Marsch [1991] and references therein. Due to these reasons for the calculations of transport coefficients in the solar wind, the scales of wave-particle interactions appear more appropriate than those of particle-particle interactions [Braginskii, 1965]. Note that the viscosity in a turbulent fluid is scale dependent. -
Eulerian–Lagrangian Method for Simulation of Cloud Cavitation ∗ Kazuki Maeda , Tim Colonius
Journal of Computational Physics 371 (2018) 994–1017 Contents lists available at ScienceDirect Journal of Computational Physics www.elsevier.com/locate/jcp Eulerian–Lagrangian method for simulation of cloud cavitation ∗ Kazuki Maeda , Tim Colonius Division of Engineering and Applied Science, California Institute of Technology, 1200 East California Boulevard, Pasadena, CA 91125, USA a r t i c l e i n f o a b s t r a c t Article history: We present a coupled Eulerian–Lagrangian method to simulate cloud cavitation in a Received 3 December 2017 compressible liquid. The method is designed to capture the strong, volumetric oscillations Received in revised form 10 April 2018 of each bubble and the bubble-scattered acoustics. The dynamics of the bubbly mixture Accepted 16 May 2018 is formulated using volume-averaged equations of motion. The continuous phase is Available online 18 May 2018 discretized on an Eulerian grid and integrated using a high-order, finite-volume weighted Keywords: essentially non-oscillatory (WENO) scheme, while the gas phase is modeled as spherical, Bubble dynamics Lagrangian point-bubbles at the sub-grid scale, each of whose radial evolution is tracked Cavitation by solving the Keller–Miksis equation. The volume of bubbles is mapped onto the Eulerian Eulerian–Lagrangian method grid as the void fraction by using a regularization (smearing) kernel. In the most general Compressible multiphase flows case, where the bubble distribution is arbitrary, three-dimensional Cartesian grids are used Multiscale modeling for spatial discretization. In order to reduce the computational cost for problems possessing Reduced-order modeling translational or rotational homogeneities, we spatially average the governing equations along the direction of symmetry and discretize the continuous phase on two-dimensional or axi-symmetric grids, respectively. -
A Numerical Algorithm for MHD of Free Surface Flows at Low Magnetic Reynolds Numbers
A Numerical Algorithm for MHD of Free Surface Flows at Low Magnetic Reynolds Numbers Roman Samulyak1, Jian Du2, James Glimm1;2, Zhiliang Xu1 1Computational Science Center, Brookhaven National Laboratory, Upton, NY 11973 2 Department of Applied Mathematics and Statistics, SUNY at Stony Brook, Stony Brook, NY 11794, USA November 7, 2005 Abstract We have developed a numerical algorithm and computational soft- ware for the study of magnetohydrodynamics (MHD) of free surface flows at low magnetic Reynolds numbers. The governing system of equations is a coupled hyperbolic/elliptic system in moving and ge- ometrically complex domains. The numerical algorithm employs the method of front tracking for material interfaces, high resolution hy- perbolic solvers, and the embedded boundary method for the elliptic problem in complex domains. The numerical algorithm has been imple- mented as an MHD extension of FronTier, a hydrodynamic code with free interface support. The code is applicable for numerical simulations of free surface conductive liquids or flows of weakly ionized plasmas. Numerical simulations of the Muon Collider/Neutrino Factory target have been discussed. 1 Introduction Computational magnetohydrodynamics, greatly inspired over the last decades by the magnetic confinement fusion and astrophysics problems, has achieved significant results. However the major research effort has been in the area of highly ionized plasmas. Numerical methods and computational software for MHD of weakly conducting materials such as liquid metals or weakly ionized plasmas have not been developed to such an extent despite the need 1 for fusion research and industrial technologies. Liquid metal MHD, driven by potential applications of flowing liquid metals or electrically conducting liquid salts as coolant in magnetic confinement fusion reactors as well as some industrial problems, has attracted broad theoretical, computational, and experimental studies (see [16, 17, 18] and references therein). -
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. -
Toward a Self-Generating Magnetic Dynamo: the Role of Turbulence
PHYSICAL REVIEW E VOLUME 61, NUMBER 5 MAY 2000 Toward a self-generating magnetic dynamo: The role of turbulence Nicholas L. Peffley, A. B. Cawthorne, and Daniel P. Lathrop* Department of Physics, University of Maryland, College Park, Maryland 20742 ͑Received 6 July 1999͒ Turbulent flow of liquid sodium is driven toward the transition to self-generating magnetic fields. The approach toward the transition is monitored with decay measurements of pulsed magnetic fields. These mea- surements show significant fluctuations due to the underlying turbulent fluid flow field. This paper presents experimental characterizations of the fluctuations in the decay rates and induced magnetic fields. These fluc- tuations imply that the transition to self-generation, which should occur at larger magnetic Reynolds number, will exhibit intermittent bursts of magnetic fields. PACS number͑s͒: 47.27.Ϫi, 47.65.ϩa, 05.45.Ϫa, 91.25.Cw I. INTRODUCTION Reynolds number will be quite large for all flows attempting to self-generate ͑where Re ӷ1 yields Reӷ105)—implying The generation of magnetic fields from flowing liquid m turbulent flow. These turbulent flows will cause the transition metals is being pursued by a number of scientific research to self-generation to be intermittent, showing both growth groups in Europe and North America. Nuclear engineering and decay of magnetic fields irregularly in space and time. has facilitated the safe use of liquid sodium, which has con- This intermittency is not something addressed by kinematic tributed to this new generation of experiments. With the dynamo studies. The analysis in this paper focuses on three highest electrical conductivity of any liquid, sodium retains main points: we quantify the approach to self-generation and distorts magnetic fields maximally before they diffuse with increasing Rem , characterize the turbulence of induced away. -
Numerical Study of Cavitation Within Orifice Flow
NUMERICAL STUDY OF CAVITATION WITHIN ORIFICE FLOW A Thesis by PENGZE YANG Submitted to the Office of Graduate and Professional Studies of Texas A&M University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE Chair of Committee, Robert Handler Committee Members, David Staack Prabir Daripa Head of Department, Andreas Polycarpou December 2015 Major Subject: Mechanical Engineering Copyright 2015 Pengze Yang ABSTRACT Cavitation generally occurs when the pressure at certain location drops to the vapor pressure and the liquid water evaporates as a consequence. For the past several decades, numerous experimental researches have been conducted to investigate this phenomenon due to its degradation effects on hydraulic device structures, such as erosion, noise and vibration. A plate orifice is an important restriction device that is widely used in many industries. It serves functions as restricting flow and measuring flow rate within a pipe. The plate orifice is also subject to intense cavitation at high pressure difference, therefore, the simulation research of the cavitation phenomenon within an orifice flow becomes quite essential for understanding the causes of cavitation and searching for possible preventing methods. In this paper, all researches are simulation-oriented by using ANSYS FLUENT due to its high resolution comparing to experiments. Standard orifice plates based on ASME PTC 19.5-2004 are chosen and modeled in the study with the diameter ratio from 0.2 to 0.75. Steady state studies are conducted for each diameter ratio at the cavitation number roughly from 0.2 to 2.5 to investigate the dependency of discharge coefficient on the cavitation number. -
Turbulent Magnetic Prandtl Number and Magnetic Diffusivity Quenching from Simulations
A&A 411, 321–327 (2003) Astronomy DOI: 10.1051/0004-6361:20031371 & c ESO 2003 Astrophysics Turbulent magnetic Prandtl number and magnetic diffusivity quenching from simulations T. A. Yousef1, A. Brandenburg2,andG.R¨udiger3 1 Department of Energy and Process Engineering, Norwegian University of Science and Technology, Kolbjørn Hejes vei 2B, 7491 Trondheim, Norway 2 NORDITA, Blegdamsvej 17, 2100 Copenhagen Ø, Denmark 3 Astrophysical Institute Potsdam, An der Sternwarte 16, 14482 Potsdam, Germany Received 21 February 2003 / Accepted 25 August 2003 Abstract. Forced turbulence simulations are used to determine the turbulent kinematic viscosity, νt, from the decay rate of a large scale velocity field. Likewise, the turbulent magnetic diffusivity, ηt, is determined from the decay of a large scale magnetic field. In the kinematic regime, when the field is weak, the turbulent magnetic Prandtl number, νt/ηt, is about unity. When the field is nonhelical, ηt is quenched when magnetic and kinetic energies become comparable. For helical fields the quenching is stronger and can be described by a dynamical quenching formula. Key words. magnetohydrodynamics (MHD) – turbulence 1. Introduction however, this instability is suppressed (R¨udiger & Shalybkov 2002). On the other hand, the Reynolds number of the flow is The concept of turbulent diffusion is often invoked when mod- quite large (105 :::106) and the flow therefore most certainly eling large scale flows and magnetic fields in a turbulent turbulent. This led Noguchi et al. (2002) to invoke a turbulent medium. Turbulent magnetic diffusion is similar to turbulent kinematic viscosity, νt, but to retain the microscopic value of η. thermal diffusion which characterizes the turbulent exchange The resulting effective magnetic Prandtl number they used was 2 of patches of warm and cold gas. -
Excitation and Control of a High-Speed Induction Generator
Excitation and Control of a High-Speed Induction Generator by Steven Carl Englebretson S.B., Colorado School of Mines (Dec 2002) Submitted to the Department of Electrical Engineering and Computer Science in partial fulfillment of the requirements for the degree of Master of Science at the MASSACHUSETTS INSTITUTE OF TECHNOLOGY September 2005 @ Massachusetts Institute of Technology, MMV. All rights reserved. A uth or .............................. .. ....... I/.. .. ................. Department of Electrical Engineering and Computer Science August 26, 2005 Certified by ....... .... .............. /1 James L. Kirtley Jr. Professor of Electrical Engineering I Thesis Supervisor Accepted by....................... .............. ............ Arthur C. Smith Chairman, Department Committee on Graduate Students MASSACHUSETTS INSIT=EU OF TECHNOLOGY BARKER MAR 2 8"2006 LIBRARIES - 11 - I Excitation and Control of a High-Speed Induction Generator by Steven Carl Englebretson Submitted to the Department of Electrical Engineering and Computer Science on August 26, 2005, in partial fulfillment of the requirements for the degree of Master of Science Abstract This project investigates the use of a high speed, squirrel cage induction generator and power converter for producing DC electrical power onboard ships and submarines. Potential advantages of high speed induction generators include smaller size and weight, increased durability, and decreased cost and maintenance. Unfortunately, induction generators require a "supply of reactive power" to run and suffer from variation in output voltage and frequency with any changes to the input reactive power excitation, mechanical drive speed, and load. A power converter can resolve some of these issues by circulating the changing reactive power demanded by the generator while simultaneously controlling the stator frequency to adjust the machine slip and manage the real output power.