Circulation and Vorticity
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Energy, Vorticity and Enstrophy Conserving Mimetic Spectral Method for the Euler Equation
Master of Science Thesis Energy, vorticity and enstrophy conserving mimetic spectral method for the Euler equation D.J.D. de Ruijter, BSc 5 September 2013 Faculty of Aerospace Engineering · Delft University of Technology Energy, vorticity and enstrophy conserving mimetic spectral method for the Euler equation Master of Science Thesis For obtaining the degree of Master of Science in Aerospace Engineering at Delft University of Technology D.J.D. de Ruijter, BSc 5 September 2013 Faculty of Aerospace Engineering · Delft University of Technology Copyright ⃝c D.J.D. de Ruijter, BSc All rights reserved. Delft University Of Technology Department Of Aerodynamics, Wind Energy, Flight Performance & Propulsion The undersigned hereby certify that they have read and recommend to the Faculty of Aerospace Engineering for acceptance a thesis entitled \Energy, vorticity and enstro- phy conserving mimetic spectral method for the Euler equation" by D.J.D. de Ruijter, BSc in partial fulfillment of the requirements for the degree of Master of Science. Dated: 5 September 2013 Head of department: prof. dr. F. Scarano Supervisor: dr. ir. M.I. Gerritsma Reader: dr. ir. A.H. van Zuijlen Reader: P.J. Pinto Rebelo, MSc Summary The behaviour of an inviscid, constant density fluid on which no body forces act, may be modelled by the two-dimensional incompressible Euler equations, a non-linear system of partial differential equations. If a fluid whose behaviour is described by these equations, is confined to a space where no fluid flows in or out, the kinetic energy, vorticity integral and enstrophy integral within that space remain constant in time. Solving the Euler equations accompanied by appropriate boundary and initial conditions may be done analytically, but more often than not, no analytical solution is available. -
Lecture 5: Saturn, Neptune, … A. P. Ingersoll [email protected] 1
Lecture 5: Saturn, Neptune, … A. P. Ingersoll [email protected] 1. A lot a new material from the Cassini spacecraft, which has been in orbit around Saturn for four years. This talk will have a lot of pictures, not so much models. 2. Uranus on the left, Neptune on the right. Uranus spins on its side. The obliquity is 98 degrees, which means the poles receive more sunlight than the equator. It also means the sun is almost overhead at the pole during summer solstice. Despite these extreme changes in the distribution of sunlight, Uranus is a banded planet. The rotation dominates the winds and cloud structure. 3. Saturn is covered by a layer of clouds and haze, so it is hard to see the features. Storms are less frequent on Saturn than on Jupiter; it is not just that clouds and haze makes the storms less visible. Saturn is a less active planet. Nevertheless the winds are stronger than the winds of Jupiter. 4. The thickness of the atmosphere is inversely proportional to gravity. The zero of altitude is where the pressure is 100 mbar. Uranus and Neptune are so cold that CH forms clouds. The clouds of NH3 , NH4SH, and H2O form at much deeper levels and have not been detected. 5. Surprising fact: The winds increase as you move outward in the solar system. Why? My theory is that power/area is smaller, small‐scale turbulence is weaker, dissipation is less, and the winds are stronger. Jupiter looks more turbulent, and it has the smallest winds. -
Kármán Vortex Street Energy Harvester for Picoscale Applications
Kármán Vortex Street Energy Harvester for Picoscale Applications 22 March 2018 Team Members: James Doty Christopher Mayforth Nicholas Pratt Advisor: Professor Brian Savilonis A Major Qualifying Project submitted to the Faculty of WORCESTER POLYTECHNIC INSTITUTE in partial fulfilment of the requirements for the degree of Bachelor of Science This report represents work of WPI undergraduate students submitted to the faculty as evidence of a degree requirement. WPI routinely publishes these reports on its web site without editorial or peer review. For more information about the projects program at WPI, see http://www.wpi.edu/Academics/Projects. Cover Picture Credit: [1] Abstract The Kármán Vortex Street, a phenomenon produced by fluid flow over a bluff body, has the potential to serve as a low-impact, economically viable alternative power source for remote water-based electrical applications. This project focused on creating a self-contained device utilizing thin-film piezoelectric transducers to generate hydropower on a pico-scale level. A system capable of generating specific-frequency vortex streets at certain water velocities was developed with SOLIDWORKS modelling and Flow Simulation software. The final prototype nozzle’s velocity profile was verified through testing to produce a velocity increase from the free stream velocity. Piezoelectric testing resulted in a wide range of measured dominant frequencies, with corresponding average power outputs of up to 100 nanowatts. The output frequencies were inconsistent with predicted values, likely due to an unreliable testing environment and the complexity of the underlying theory. A more stable testing environment, better verification of the nozzle velocity profile, and fine-tuning the piezoelectric circuit would allow for a higher, more consistent power output. -
Lecture 18 Ocean General Circulation Modeling
Lecture 18 Ocean General Circulation Modeling 9.1 The equations of motion: Navier-Stokes The governing equations for a real fluid are the Navier-Stokes equations (con servation of linear momentum and mass mass) along with conservation of salt, conservation of heat (the first law of thermodynamics) and an equation of state. However, these equations support fast acoustic modes and involve nonlinearities in many terms that makes solving them both difficult and ex pensive and particularly ill suited for long time scale calculations. Instead we make a series of approximations to simplify the Navier-Stokes equations to yield the “primitive equations” which are the basis of most general circu lations models. In a rotating frame of reference and in the absence of sources and sinks of mass or salt the Navier-Stokes equations are @ �~v + �~v~v + 2�~ �~v + g�kˆ + p = ~ρ (9.1) t r · ^ r r · @ � + �~v = 0 (9.2) t r · @ �S + �S~v = 0 (9.3) t r · 1 @t �ζ + �ζ~v = ω (9.4) r · cpS r · F � = �(ζ; S; p) (9.5) Where � is the fluid density, ~v is the velocity, p is the pressure, S is the salinity and ζ is the potential temperature which add up to seven dependent variables. 115 12.950 Atmospheric and Oceanic Modeling, Spring '04 116 The constants are �~ the rotation vector of the sphere, g the gravitational acceleration and cp the specific heat capacity at constant pressure. ~ρ is the stress tensor and ω are non-advective heat fluxes (such as heat exchange across the sea-surface).F 9.2 Acoustic modes Notice that there is no prognostic equation for pressure, p, but there are two equations for density, �; one prognostic and one diagnostic. -
The Vorticity Equation in a Rotating Stratified Fluid
Chapter 7 The Vorticity Equation in a Rotating Stratified Fluid The vorticity equation for a rotating, stratified, viscous fluid » The vorticity equation in one form or another and its interpretation provide a key to understanding a wide range of atmospheric and oceanic flows. » The full Navier-Stokes' equation in a rotating frame is Du 1 +∧fu =−∇pg − k +ν∇2 u Dt ρ T where p is the total pressure and f = fk. » We allow for a spatial variation of f for applications to flow on a beta plane. Du 1 +∧fu =−∇pg − k +ν∇2 u Dt ρ T 1 2 Now uu=(u⋅∇ ∇2 ) +ω ∧ u ∂u 1 2 1 2 +∇2 ufuku +bω +g ∧=- ∇pgT − +ν∇ ∂ρt di take the curl D 1 2 afafafωω+=ffufu +⋅∇−+∇⋅+∇ρ∧∇+ ωpT ν∇ ω Dt ρ2 Dω or =−uf ⋅∇ +.... Dt Note that ∧ [ ω + f] ∧ u] = u ⋅ (ω + f) + (ω + f) ⋅ u - (ω + f) ⋅ u, and ⋅ [ω + f] ≡ 0. Terminology ωa = ω + f is called the absolute vorticity - it is the vorticity derived in an a inertial frame ω is called the relative vorticity, and f is called the planetary-, or background vorticity Recall that solid body rotation corresponds with a vorticity 2Ω. Interpretation D 1 2 afafafωω+=ffufu +⋅∇−+∇⋅+∇ρ∧∇+ ωpT ν∇ ω Dt ρ2 Dω is the rate-of-change of the relative vorticity Dt −⋅∇uf: If f varies spatially (i.e., with latitude) there will be a change in ω as fluid parcels are advected to regions of different f. Note that it is really ω + f whose total rate-of-change is determined. -
A Concept of the Vortex Lift of Sharp-Edge Delta Wings Based on a Leading-Edge-Suction Analogy Tech Library Kafb, Nm
I A CONCEPT OF THE VORTEX LIFT OF SHARP-EDGE DELTA WINGS BASED ON A LEADING-EDGE-SUCTION ANALOGY TECH LIBRARY KAFB, NM OL3042b NASA TN D-3767 A CONCEPT OF THE VORTEX LIFT OF SHARP-EDGE DELTA WINGS BASED ON A LEADING-EDGE-SUCTION ANALOGY By Edward C. Polhamus Langley Research Center Langley Station, Hampton, Va. NATIONAL AERONAUTICS AND SPACE ADMINISTRATION For sale by the Clearinghouse for Federal Scientific and Technical Information Springfield, Virginia 22151 - Price $1.00 A CONCEPT OF THE VORTEX LIFT OF SHARP-EDGE DELTA WINGS BASED ON A LEADING-EDGE-SUCTION ANALOGY By Edward C. Polhamus Langley Research Center SUMMARY A concept for the calculation of the vortex lift of sharp-edge delta wings is pre sented and compared with experimental data. The concept is based on an analogy between the vortex lift and the leading-edge suction associated with the potential flow about the leading edge. This concept, when combined with potential-flow theory modified to include the nonlinearities associated with the exact boundary condition and the loss of the lift component of the leading-edge suction, provides excellent prediction of the total lift for a wide range of delta wings up to angles of attack of 20° or greater. INTRODUCTION The aerodynamic characteristics of thin sharp-edge delta wings are of interest for supersonic aircraft and have been the subject of theoretical and experimental studies for many years in both the subsonic and supersonic speed ranges. Of particular interest at subsonic speeds has been the formation and influence of the leading-edge separation vor tex that occurs on wings having sharp, highly swept leading edges. -
ATMOSPHERIC and OCEANIC FLUID DYNAMICS Fundamentals and Large-Scale Circulation
ATMOSPHERIC AND OCEANIC FLUID DYNAMICS Fundamentals and Large-Scale Circulation Geoffrey K. Vallis Contents Preface xi Part I FUNDAMENTALS OF GEOPHYSICAL FLUID DYNAMICS 1 1 Equations of Motion 3 1.1 Time Derivatives for Fluids 3 1.2 The Mass Continuity Equation 7 1.3 The Momentum Equation 11 1.4 The Equation of State 14 1.5 The Thermodynamic Equation 16 1.6 Sound Waves 29 1.7 Compressible and Incompressible Flow 31 1.8 * More Thermodynamics of Liquids 33 1.9 The Energy Budget 39 1.10 An Introduction to Non-Dimensionalization and Scaling 43 2 Effects of Rotation and Stratification 51 2.1 Equations in a Rotating Frame 51 2.2 Equations of Motion in Spherical Coordinates 55 2.3 Cartesian Approximations: The Tangent Plane 66 2.4 The Boussinesq Approximation 68 2.5 The Anelastic Approximation 74 2.6 Changing Vertical Coordinate 78 2.7 Hydrostatic Balance 80 2.8 Geostrophic and Thermal Wind Balance 85 2.9 Static Instability and the Parcel Method 92 2.10 Gravity Waves 98 v vi Contents 2.11 * Acoustic-Gravity Waves in an Ideal Gas 100 2.12 The Ekman Layer 104 3 Shallow Water Systems and Isentropic Coordinates 123 3.1 Dynamics of a Single, Shallow Layer 123 3.2 Reduced Gravity Equations 129 3.3 Multi-Layer Shallow Water Equations 131 3.4 Geostrophic Balance and Thermal wind 134 3.5 Form Drag 135 3.6 Conservation Properties of Shallow Water Systems 136 3.7 Shallow Water Waves 140 3.8 Geostrophic Adjustment 144 3.9 Isentropic Coordinates 152 3.10 Available Potential Energy 155 4 Vorticity and Potential Vorticity 165 4.1 Vorticity and Circulation 165 -
Three Types of Horizontal Vortices Observed in Wildland Mass And
1624 JOURNAL OF CLIMATE AND APPLIED METEOROLOGY VOLUME26 Three Types of Horizontal Vortices Observed in Wildland Mas~ and Crown Fires DoNALD A. HAINES U.S. Department ofAgriculture, Forest Service, North Central Forest Experiment Station, East Lansing, Ml 48823 MAHLON C. SMITH Department ofMechanical Engineering, Michigan State University, East Lansing, Ml 48824 (Manuscript received 25 October 1986, in final form 4 May 1987) ABSTRACT Observation shows that three types of horizontal vortices may form during intense wildland fires. Two of these vortices are longitudinal relative to the ambient wind and the third is transverse. One of the longitudinal types, a vortex pair, occurs with extreme heat and low to moderate wind speeds. It may be a somewhat common structure on the flanks of intense crown fires when burning is concentrated along the fire's perimeter. The second longitudinal type, a single vortex, occurs with high winds and can dominate the entire fire. The third type, the transverse vortex, occurs on the upstream side of the convection column during intense burning and relatively low winds. These vortices are important because they contribute to fire spread and are a threat to fire fighter safety. This paper documents field observations of the vortices and supplies supportive meteorological and fuel data. The discussion includes applicable laboratory and conceptual studies in fluid flow and heat transfer that may apply to vortex formation. 1. Introduction experiments showed that when air flowed parallel to a heated metal ribbon that simulated the flank of a crown The occurrence of vertical vortices in wildland fires fire, a thin, buoyant plume capped with a vortex pair has been well documented as well as mathematically developed above the ribbon along its length. -
An Overview of Impellers, Velocity Profile and Reactor Design
An Overview of Impellers, Velocity Profile and Reactor Design Praveen Patel1, Pranay Vaidya1, Gurmeet Singh2 1Indian Institute of Technology Bombay, India 1Indian Oil Corporation Limited, R&D Centre Faridabad Abstract: This paper presents a simulation operation and hence in estimating the approach to develop a model for understanding efficiency of the operating system. The the mixing phenomenon in a stirred vessel. The involved processes can be analysed to optimize mixing in the vessel is important for effective the products of a technology, through defining chemical reaction, heat transfer, mass transfer the model with adequate parameters. and phase homogeneity. In some cases, it is Reactors are always important parts of any very difficult to obtain experimental working industry, and for a detailed study using information and it takes a long time to collect several parameters many readings are to be the necessary data. Such problems can be taken and the system has to be observed for all solved using computational fluid dynamics adversities of environment to correct for any (CFD) model, which is less time consuming, inexpensive and has the capability to visualize skewness of values. As such huge amount of required data, it takes a long time to collect the real system in three dimensions. enough to build a model. In some cases, also it As reactor constructions and impeller is difficult to obtain experimental information configurations were identified as the potent also. Pilot plant experiments can be considered variables that could affect the macromixing as an option, but this conventional method has phenomenon and hydrodynamics, these been left far behind by the advent of variables were modelled. -
Vorticity and Strain Analysis Using Mohr Diagrams FLOW
Journal of Structural Geology, Vol, 10, No. 7, pp. 755 to 763, 1988 0191-8141/88 $03.00 + 0.00 Printed in Great Britain © 1988 Pergamon Press plc Vorticity and strain analysis using Mohr diagrams CEES W. PASSCHIER and JANOS L. URAI Instituut voor Aardwetenschappen, P.O. Box 80021,3508TA, Utrecht, The Netherlands (Received 16 December 1987; accepted in revisedform 9 May 1988) Abstract--Fabric elements in naturally deformed rocks are usually of a highly variable nature, and measurements contain a high degree of uncertainty. Calculation of general deformation parameters such as finite strain, volume change or the vorticity number of the flow can be difficult with such data. We present an application of the Mohr diagram for stretch which can be used with poorly constrained data on stretch and rotation of lines to construct the best fit to the position gradient tensor; this tensor describes all deformation parameters. The method has been tested on a slate specimen, yielding a kinematic vorticity number of 0.8 _+ 0.1. INTRODUCTION Two recent papers have suggested ways to determine this number in naturally deformed rocks (Ghosh 1987, ONE of the aims in structural geology is the reconstruc- Passchier 1988). These methods rely on the recognition tion of finite deformation parameters and the deforma- that certain fabric elements in naturally deformed rocks tion history for small volumes of rock from the geometry have a memory for sense of shear and flow vorticity and orientation of fabric elements. Such data can then number. Some examples are rotated porphyroblast- be used for reconstruction of large-scale deformation foliation systems (Ghosh 1987); sets of folded and patterns and eventually in tracing regional tectonics. -
Numerical Study of a Mixing Layer in Spatial and Temporal Development of a Stratified Flow M. Biage, M. S. Fernandes & P. Lo
Transactions on Engineering Sciences vol 18, © 1998 WIT Press, www.witpress.com, ISSN 1743-3533 Numerical study of a mixing layer in spatial and temporal development of a stratified flow M. Biage, M. S. Fernandes & P. Lopes Jr Department of Mechanical Engineering Center of Exact Science and Tecnology Federal University ofUberldndia, UFU- MG-Brazil [email protected] Abstract The two-dimensional plane shear layers for high Reynolds numbers are simulated using the transient explicit Spectral Collocation method. The fast and slow air streams are submitted to different densities. A temporally growing mixing layer, developing from a hyperbolic tangent velocity profile to which is superposed an infinitesimal white-noise perturbation over the initial condition, is studied. In the same way, a spatially growing mixing layer is also study. In this case, the flow in the inlet of the domain is perturbed by a time dependent white noise of small amplitude. The structure of the vorticity and the density are visualized for high Reynolds number for both cases studied. Broad-band kinetic energy and temperature spectra develop after the first pairing are observed. The results showed that similar conclusions are obtained for the temporal and spatial mixing layers. The spreading rate of the layer in particular is in good agreement with the works presented in the literature. 1 Introduction The intensely turbulent region formed at the boundary between two parallel fluid streams of different velocity has been studied for many years. This kind of flow is called of mixing layer. The mixing layer of a newtonian fluid, non-reactive and compressible flow, practically, is one of the most simple turbulent flow. -
Scaling the Vorticity Equation
Vorticity Equation in Isobaric Coordinates To obtain a version of the vorticity equation in pressure coordinates, we follow the same procedure as we used to obtain the z-coordinate version: ∂ ∂ [y-component momentum equation] − [x-component momentum equation] ∂x ∂y Using the p-coordinate form of the momentum equations, this is: ∂ ⎡∂v ∂v ∂v ∂v ∂Φ ⎤ ∂ ⎡∂u ∂u ∂u ∂u ∂Φ ⎤ ⎢ + u + v +ω + fu = − ⎥ − ⎢ + u + v +ω − fv = − ⎥ ∂x ⎣ ∂t ∂x ∂y ∂p ∂y ⎦ ∂y ⎣ ∂t ∂x ∂y ∂p ∂x ⎦ which yields: d ⎛ ∂u ∂v ⎞ ⎛ ∂ω ∂u ∂ω ∂v ⎞ vorticity equation in ()()ζ p + f = − ζ p + f ⎜ + ⎟ − ⎜ − ⎟ dt ⎝ ∂x ∂y ⎠ p ⎝ ∂y ∂p ∂x ∂p ⎠ isobaric coordinates Scaling The Vorticity Equation Starting with the z-coordinate form of the vorticity equation, we begin by expanding the total derivative and retaining only nonzero terms: ∂ζ ∂ζ ∂ζ ∂ζ ∂f ⎛ ∂u ∂v ⎞ ⎛ ∂w ∂v ∂w ∂u ⎞ 1 ⎛ ∂p ∂ρ ∂p ∂ρ ⎞ + u + v + w + v = − ζ + f ⎜ + ⎟ − ⎜ − ⎟ + ⎜ − ⎟ ()⎜ ⎟ ⎜ ⎟ 2 ⎜ ⎟ ∂t ∂x ∂y ∂z ∂y ⎝ ∂x ∂y ⎠ ⎝ ∂x ∂z ∂y ∂z ⎠ ρ ⎝ ∂y ∂x ∂x ∂y ⎠ Next, we will evaluate the order of magnitude of each of these terms. Our goal is to simplify the equation by retaining only those terms that are important for large-scale midlatitude weather systems. 1 Scaling Quantities U = horizontal velocity scale W = vertical velocity scale L = length scale H = depth scale δP = horizontal pressure fluctuation ρ = mean density δρ/ρ = fractional density fluctuation T = time scale (advective) = L/U f0 = Coriolis parameter β = “beta” parameter Values of Scaling Quantities (midlatitude large-scale motions) U 10 m s-1 W 10-2 m s-1 L 106 m H 104 m δP (horizontal) 103 Pa ρ 1 kg m-3 δρ/ρ 10-2 T 105 s -4 -1 f0 10 s β 10-11 m-1 s-1 2 ∂ζ ∂ζ ∂ζ ∂ζ ∂f ⎛ ∂u ∂v ⎞ ⎛ ∂w ∂v ∂w ∂u ⎞ 1 ⎛ ∂p ∂ρ ∂p ∂ρ ⎞ + u + v + w + v = − ζ + f ⎜ + ⎟ − ⎜ − ⎟ + ⎜ − ⎟ ()⎜ ⎟ ⎜ ⎟ 2 ⎜ ⎟ ∂t ∂x ∂y ∂z ∂y ⎝ ∂x ∂y ⎠ ⎝ ∂x ∂z ∂y ∂z ⎠ ρ ⎝ ∂y ∂x ∂x ∂y ⎠ ∂ζ ∂ζ ∂ζ U 2 , u , v ~ ~ 10−10 s−2 ∂t ∂x ∂y L2 ∂ζ WU These inequalities appear because w ~ ~ 10−11 s−2 the two terms may partially offset ∂z HL one another.