Differential Relations for Fluid Flow in This Approach, We Apply Our Four Basic Conservation Laws to an Infinitesimally Small Control Volume
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Aerodynamics Material - Taylor & Francis
CopyrightAerodynamics material - Taylor & Francis ______________________________________________________________________ 257 Aerodynamics Symbol List Symbol Definition Units a speed of sound ⁄ a speed of sound at sea level ⁄ A area aspect ratio ‐‐‐‐‐‐‐‐ b wing span c chord length c Copyrightmean aerodynamic material chord- Taylor & Francis specific heat at constant pressure of air · root chord tip chord specific heat at constant volume of air · / quarter chord total drag coefficient ‐‐‐‐‐‐‐‐ , induced drag coefficient ‐‐‐‐‐‐‐‐ , parasite drag coefficient ‐‐‐‐‐‐‐‐ , wave drag coefficient ‐‐‐‐‐‐‐‐ local skin friction coefficient ‐‐‐‐‐‐‐‐ lift coefficient ‐‐‐‐‐‐‐‐ , compressible lift coefficient ‐‐‐‐‐‐‐‐ compressible moment ‐‐‐‐‐‐‐‐ , coefficient , pitching moment coefficient ‐‐‐‐‐‐‐‐ , rolling moment coefficient ‐‐‐‐‐‐‐‐ , yawing moment coefficient ‐‐‐‐‐‐‐‐ ______________________________________________________________________ 258 Aerodynamics Aerodynamics Symbol List (cont.) Symbol Definition Units pressure coefficient ‐‐‐‐‐‐‐‐ compressible pressure ‐‐‐‐‐‐‐‐ , coefficient , critical pressure coefficient ‐‐‐‐‐‐‐‐ , supersonic pressure coefficient ‐‐‐‐‐‐‐‐ D total drag induced drag Copyright material - Taylor & Francis parasite drag e span efficiency factor ‐‐‐‐‐‐‐‐ L lift pitching moment · rolling moment · yawing moment · M mach number ‐‐‐‐‐‐‐‐ critical mach number ‐‐‐‐‐‐‐‐ free stream mach number ‐‐‐‐‐‐‐‐ P static pressure ⁄ total pressure ⁄ free stream pressure ⁄ q dynamic pressure ⁄ R -
Derivation of Fluid Flow Equations
TPG4150 Reservoir Recovery Techniques 2017 1 Fluid Flow Equations DERIVATION OF FLUID FLOW EQUATIONS Review of basic steps Generally speaking, flow equations for flow in porous materials are based on a set of mass, momentum and energy conservation equations, and constitutive equations for the fluids and the porous material involved. For simplicity, we will in the following assume isothermal conditions, so that we not have to involve an energy conservation equation. However, in cases of changing reservoir temperature, such as in the case of cold water injection into a warmer reservoir, this may be of importance. Below, equations are initially described for single phase flow in linear, one- dimensional, horizontal systems, but are later on extended to multi-phase flow in two and three dimensions, and to other coordinate systems. Conservation of mass Consider the following one dimensional rod of porous material: Mass conservation may be formulated across a control element of the slab, with one fluid of density ρ is flowing through it at a velocity u: u ρ Δx The mass balance for the control element is then written as: ⎧Mass into the⎫ ⎧Mass out of the ⎫ ⎧ Rate of change of mass⎫ ⎨ ⎬ − ⎨ ⎬ = ⎨ ⎬ , ⎩element at x ⎭ ⎩element at x + Δx⎭ ⎩ inside the element ⎭ or ∂ {uρA} − {uρA} = {φAΔxρ}. x x+ Δx ∂t Dividing by Δx, and taking the limit as Δx approaches zero, we get the conservation of mass, or continuity equation: ∂ ∂ − (Aρu) = (Aφρ). ∂x ∂t For constant cross sectional area, the continuity equation simplifies to: ∂ ∂ − (ρu) = (φρ) . ∂x ∂t Next, we need to replace the velocity term by an equation relating it to pressure gradient and fluid and rock properties, and the density and porosity terms by appropriate pressure dependent functions. -
Potential Flow Theory
2.016 Hydrodynamics Reading #4 2.016 Hydrodynamics Prof. A.H. Techet Potential Flow Theory “When a flow is both frictionless and irrotational, pleasant things happen.” –F.M. White, Fluid Mechanics 4th ed. We can treat external flows around bodies as invicid (i.e. frictionless) and irrotational (i.e. the fluid particles are not rotating). This is because the viscous effects are limited to a thin layer next to the body called the boundary layer. In graduate classes like 2.25, you’ll learn how to solve for the invicid flow and then correct this within the boundary layer by considering viscosity. For now, let’s just learn how to solve for the invicid flow. We can define a potential function,!(x, z,t) , as a continuous function that satisfies the basic laws of fluid mechanics: conservation of mass and momentum, assuming incompressible, inviscid and irrotational flow. There is a vector identity (prove it for yourself!) that states for any scalar, ", " # "$ = 0 By definition, for irrotational flow, r ! " #V = 0 Therefore ! r V = "# ! where ! = !(x, y, z,t) is the velocity potential function. Such that the components of velocity in Cartesian coordinates, as functions of space and time, are ! "! "! "! u = , v = and w = (4.1) dx dy dz version 1.0 updated 9/22/2005 -1- ©2005 A. Techet 2.016 Hydrodynamics Reading #4 Laplace Equation The velocity must still satisfy the conservation of mass equation. We can substitute in the relationship between potential and velocity and arrive at the Laplace Equation, which we will revisit in our discussion on linear waves. -
Concentric Cylinder Viscometer Flows of Herschel-Bulkley Fluids Received Sep 09, 2019; Accepted Nov 28, 2019
Appl. Rheol. 2019; 29 (1):173–181 Research Article Hans Joakim Skadsem* and Arild Saasen Concentric cylinder viscometer flows of Herschel-Bulkley fluids https://doi.org/10.1515/arh-2019-0015 Received Sep 09, 2019; accepted Nov 28, 2019 Abstract: Drilling fluids and well cements are example τ non-Newtonian fluids that are used for geothermal and Cement slurry petroleum well construction. Measurement of the non- Spacer Newtonian fluid viscosities are normally performed using a concentric cylinder Couette geometry, where one of the Shear stress, Drilling fluid cylinders rotates at a controlled speed or under a con- trolled torque. In this paper we address Couette flow of yield stress shear thinning fluids in concentric cylinder geometries. We focus Chemical wash on typical oilfield viscometers and discuss effects of yield Shear rate,γ ˙ stress and shear thinning on fluid yielding at low viscome- ter rotational speeds and errors caused by the Newtonian Figure 1: Example of typical flow curves for fluids involved in well shear rate assumption. We relate these errors to possible construction. implications for typical wellbore flows. Keywords: Drilling fluids, Herschel-Bulkley, Viscometry The operation schedule involves drilling, where the drilling fluid transports out drilled cuttings, displacement PACS: 83.85.Jn, 83.60.La, 83.10.Gr, 47.57.Qk of the drilling fluid from the narrow annular space be- tween the casing string and the formation and replace it by a cement slurry to create a total zonal isolation in the well. 1 Introduction Once in place, the cement slurry is allowed to harden into a cement sheath. -
Introduction to Compressible Computational Fluid Dynamics James S
Introduction to Compressible Computational Fluid Dynamics James S. Sochacki Department of Mathematics James Madison University [email protected] Abstract This document is intended as an introduction to computational fluid dynamics at the upper undergraduate level. It is assumed that the student has had courses through three dimensional calculus and some computer programming experience with numer- ical algorithms. A course in differential equations is recommended. This document is intended to be used by undergraduate instructors and students to gain an under- standing of computational fluid dynamics. The document can be used in a classroom or research environment at the undergraduate level. The idea of this work is to have the students use the modules to discover properties of the equations and then relate this to the physics of fluid dynamics. Many issues, such as rarefactions and shocks are left out of the discussion because the intent is to have the students discover these concepts and then study them with the instructor. The document is used in part of the undergraduate MATH 365 - Computation Fluid Dynamics course at James Madi- son University (JMU) and is part of the joint NSF Grant between JMU and North Carolina Central University (NCCU): A Collaborative Computational Sciences Pro- gram. This document introduces the full three-dimensional Navier Stokes equations. As- sumptions to these equations are made to derive equations that are accessible to un- dergraduates with the above prerequisites. These equations are approximated using finite difference methods. The development of the equations and finite difference methods are contained in this document. Software modules and their corresponding documentation in Fortran 90, Maple and Matlab can be downloaded from the web- site: http://www.math.jmu.edu/~jim/compressible.html. -
Couette and Planar Poiseuille Flow
An Internet Book on Fluid Dynamics COUETTE AND PLANAR POISEUILLE FLOW Couette and planar Poiseuille flow are both steady flows between two infinitely long, parallel plates a fixed distance, h, apart as sketched in Figures 1 and 2. The difference is that in Couette flow one of the plates Figure 1: Couette flow. Figure 2: Planar Poiseuille flow. has a velocity U in its own plane (the other plate is at rest) as a result of the application of a shear stress, τ, and there is no pressure gradient in the fluid. In contrast in planar Poiseuille flow both plates are at rest and the flow is caused by a pressure gradient, dp/dx, in the direction, x, parallel to the plates. It is however, convenient, to begin the analysis of these flows together. We will omit any conservative body forces like gravity since their effects are can be simply added to the final solutions. Then, assuming that the only non-zero component of the velocity is ux and that the velocity and pressure are independent of time the resulting planar continuity equation for an incompressible fluid yields ∂ux ∂x =0 (Bib1) so that ux(y) is a function only of y, the coordinate perpendicular to the plates. Using this the planar Navier-Stokes equations for an incompressible fluid of constant and uniform viscosity reduce to 2 ∂p ∂ ux = μ (Bib2) ∂x ∂y2 ∂p ∂y =0 (Bib3) The second of these shows that the pressure, p(x), is a function only of x and hence the gradient, dp/dx, is well defined and a parameter of the problem. -
INCOMPRESSIBLE FLOW AERODYNAMICS 3 0 0 3 Course Category: Programme Core A
COURSE CODE COURSE TITLE L T P C 1151AE107 INCOMPRESSIBLE FLOW AERODYNAMICS 3 0 0 3 Course Category: Programme core a. Preamble : The primary objective of this course is to teach students how to determine aerodynamic lift and drag over an airfoil and wing at incompressible flow regime by analytical methods. b. Prerequisite Courses: Fluid Mechanics c. Related Courses: Airplane Performance Compressible flow Aerodynamics Aero elasticity Flapping wing dynamics Industrial aerodynamics Transonic Aerodynamics d. Course Educational Objectives: To introduce the concepts of mass, momentum and energy conservation relating to aerodynamics. To make the student understand the concept of vorticity, irrotationality, theory of air foils and wing sections. To introduce the basics of viscous flow. e. Course Outcomes: Upon the successful completion of the course, students will be able to: Knowledge Level CO Course Outcomes (Based on revised Nos. Bloom’s Taxonomy) Apply the physical principles to formulate the governing CO1 K3 aerodynamics equations Find the solution for two dimensional incompressible inviscid CO2 K3 flows Apply conformal transformation to find the solution for flow over CO3 airfoils and also find the solutions using classical thin airfoil K3 theory Apply Prandtl’s lifting-line theory to find the aerodynamic CO4 K3 characteristics of finite wing Find the solution for incompressible flow over a flat plate using CO5 K3 viscous flow concepts f. Correlation of COs with POs: COs PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12 CO1 H L H L M H H CO2 H L H L M H H CO3 H L H L M H H CO4 H L H L M H H CO5 H L H L M H H H- High; M-Medium; L-Low g. -
Shallow-Water Equations and Related Topics
CHAPTER 1 Shallow-Water Equations and Related Topics Didier Bresch UMR 5127 CNRS, LAMA, Universite´ de Savoie, 73376 Le Bourget-du-Lac, France Contents 1. Preface .................................................... 3 2. Introduction ................................................. 4 3. A friction shallow-water system ...................................... 5 3.1. Conservation of potential vorticity .................................. 5 3.2. The inviscid shallow-water equations ................................. 7 3.3. LERAY solutions ........................................... 11 3.3.1. A new mathematical entropy: The BD entropy ........................ 12 3.3.2. Weak solutions with drag terms ................................ 16 3.3.3. Forgetting drag terms – Stability ............................... 19 3.3.4. Bounded domains ....................................... 21 3.4. Strong solutions ............................................ 23 3.5. Other viscous terms in the literature ................................. 23 3.6. Low Froude number limits ...................................... 25 3.6.1. The quasi-geostrophic model ................................. 25 3.6.2. The lake equations ...................................... 34 3.7. An interesting open problem: Open sea boundary conditions .................... 41 3.8. Multi-level and multi-layers models ................................. 43 3.9. Friction shallow-water equations derivation ............................. 44 3.9.1. Formal derivation ....................................... 44 3.10. -
Continuity Equation in Pressure Coordinates
Continuity Equation in Pressure Coordinates Here we will derive the continuity equation from the principle that mass is conserved for a parcel following the fluid motion (i.e., there is no flow across the boundaries of the parcel). This implies that δxδyδp δM = ρ δV = ρ δxδyδz = − g is conserved following the fluid motion: 1 d(δM ) = 0 δM dt 1 d()δM = 0 δM dt g d ⎛ δxδyδp ⎞ ⎜ ⎟ = 0 δxδyδp dt ⎝ g ⎠ 1 ⎛ d(δp) d(δy) d(δx)⎞ ⎜δxδy +δxδp +δyδp ⎟ = 0 δxδyδp ⎝ dt dt dt ⎠ 1 ⎛ dp ⎞ 1 ⎛ dy ⎞ 1 ⎛ dx ⎞ δ ⎜ ⎟ + δ ⎜ ⎟ + δ ⎜ ⎟ = 0 δp ⎝ dt ⎠ δy ⎝ dt ⎠ δx ⎝ dt ⎠ Taking the limit as δx, δy, δp → 0, ∂u ∂v ∂ω Continuity equation + + = 0 in pressure ∂x ∂y ∂p coordinates 1 Determining Vertical Velocities • Typical large-scale vertical motions in the atmosphere are of the order of 0. 01-01m/s0.1 m/s. • Such motions are very difficult, if not impossible, to measure directly. Typical observational errors for wind measurements are ~1 m/s. • Quantitative estimates of vertical velocity must be inferred from quantities that can be directly measured with sufficient accuracy. Vertical Velocity in P-Coordinates The equivalent of the vertical velocity in p-coordinates is: dp ∂p r ∂p ω = = +V ⋅∇p + w dt ∂t ∂z Based on a scaling of the three terms on the r.h.s., the last term is at least an order of magnitude larger than the other two. Making the hydrostatic approximation yields ∂p ω ≈ w = −ρgw ∂z Typical large-scale values: for w, 0.01 m/s = 1 cm/s for ω, 0.1 Pa/s = 1 μbar/s 2 The Kinematic Method By integrating the continuity equation in (x,y,p) coordinates, ω can be obtained from the mean divergence in a layer: ⎛ ∂u ∂v ⎞ ∂ω ⎜ + ⎟ + = 0 continuity equation in (x,y,p) coordinates ⎝ ∂x ∂y ⎠ p ∂p p2 p2 ⎛ ∂u ∂v ⎞ ∂ω = − ⎜ + ⎟ ∂p rearrange and integrate over the layer ∫p ∫ ⎜ ⎟ 1 ∂x ∂y p1⎝ ⎠ p ⎛ ∂u ∂v ⎞ ω(p )−ω(p ) = (p − p )⎜ + ⎟ overbar denotes pressure- 2 1 1 2 ⎜ ⎟ weighted vertical average ⎝ ∂x ∂y ⎠ p To determine vertical motion at a pressure level p2, assume that p1 = surface pressure and there is no vertical motion at the surface. -
Lattice Boltzmann Modeling for Shallow Water Equations Using High
Louisiana State University LSU Digital Commons LSU Doctoral Dissertations Graduate School 2010 Lattice Boltzmann modeling for shallow water equations using high performance computing Kevin Tubbs Louisiana State University and Agricultural and Mechanical College, [email protected] Follow this and additional works at: https://digitalcommons.lsu.edu/gradschool_dissertations Part of the Engineering Science and Materials Commons Recommended Citation Tubbs, Kevin, "Lattice Boltzmann modeling for shallow water equations using high performance computing" (2010). LSU Doctoral Dissertations. 34. https://digitalcommons.lsu.edu/gradschool_dissertations/34 This Dissertation is brought to you for free and open access by the Graduate School at LSU Digital Commons. It has been accepted for inclusion in LSU Doctoral Dissertations by an authorized graduate school editor of LSU Digital Commons. For more information, please [email protected]. LATTICE BOLTZMANN MODELING FOR SHALLOW WATER EQUATIONS USING HIGH PERFORMANCE COMPUTING A Dissertation Submitted to the Graduate Faculty of the Louisiana State University and Agricultural and Mechanical College in partial fulfillment of the requirements for the degree of Doctor of Philosophy in The Interdepartmental Program in Engineering Science by Kevin Tubbs B.S. Physics , Southern University, 2001 M.S. Physics, Louisiana State University, 2004 May, 2010 To my family ii ACKNOWLEDGMENTS I want to acknowledge the love and support of my family and friends which was instrumental in completing my degree. I would like to especially thank my parents, John and Veronica Tubbs and my siblings Kanika Tubbs and Keosha Tubbs. I dedicate this dissertation in loving memory of my brother Kendrick Tubbs and my grandmother Gertrude Nicholas. I would also like to thank Dr. -
Chapter 3 Newtonian Fluids
CM4650 Chapter 3 Newtonian Fluid 2/5/2018 Mechanics Chapter 3: Newtonian Fluids CM4650 Polymer Rheology Michigan Tech Navier-Stokes Equation v vv p 2 v g t 1 © Faith A. Morrison, Michigan Tech U. Chapter 3: Newtonian Fluid Mechanics TWO GOALS •Derive governing equations (mass and momentum balances •Solve governing equations for velocity and stress fields QUICK START V W x First, before we get deep into 2 v (x ) H derivation, let’s do a Navier-Stokes 1 2 x1 problem to get you started in the x3 mechanics of this type of problem solving. 2 © Faith A. Morrison, Michigan Tech U. 1 CM4650 Chapter 3 Newtonian Fluid 2/5/2018 Mechanics EXAMPLE: Drag flow between infinite parallel plates •Newtonian •steady state •incompressible fluid •very wide, long V •uniform pressure W x2 v1(x2) H x1 x3 3 EXAMPLE: Poiseuille flow between infinite parallel plates •Newtonian •steady state •Incompressible fluid •infinitely wide, long W x2 2H x1 x3 v (x ) x1=0 1 2 x1=L p=Po p=PL 4 2 CM4650 Chapter 3 Newtonian Fluid 2/5/2018 Mechanics Engineering Quantities of In more complex flows, we can use Interest general expressions that work in all cases. (any flow) volumetric ⋅ flow rate ∬ ⋅ | average 〈 〉 velocity ∬ Using the general formulas will Here, is the outwardly pointing unit normal help prevent errors. of ; it points in the direction “through” 5 © Faith A. Morrison, Michigan Tech U. The stress tensor was Total stress tensor, Π: invented to make the calculation of fluid stress easier. Π ≡ b (any flow, small surface) dS nˆ Force on the S ⋅ Π surface V (using the stress convention of Understanding Rheology) Here, is the outwardly pointing unit normal of ; it points in the direction “through” 6 © Faith A. -
Transition to Turbulence in Plane Poiseuille and Plane Couette Flow by STEVEN A
J. Fluid Mech. (1980), vol. 96, part 1, pp. 159-205 169 Printed in Great Britain Transition to turbulence in plane Poiseuille and plane Couette flow By STEVEN A. ORSZAG AND LAWRENCE C. KELLST Department of Mathematics, Massachusetts Institute of Technology, Cambridge, MA 02139 [Received 8 June 1978 and in revised form 2 October 1978) Direct numerical solutions of the three-dimensional time-dependent Navier-Stokes equations are presented for the evolution of three-dimensional finite-amplitude disturbances of plane Poiseuille and plane Couette flows. Spectral methods using Fourier series and Chebyshev polynomial series are used. It is found that plane Poiseuille flow can sustain neutrally stable two-dimensional finite-amplitude dis- turbances at Reynolds numbers larger than about 2800. No neutrally stable two- dimensional finite-amplitude disturbances of plane Couette flow were found. Three-dimensional disturbances are shown to have a strongly destabilizing effect. It is shown that finite-amplitude disturbances can drive transition to turbulence in both plane Poiseuille flow and plane Couette flow at Reynolds numbers of order 1000. Details of the resulting flow fields are presented. It is also shown that plane Poiseuille flow cannot sustain turbulence at Reynolds numbers below about 500. I. Introduction One of the oldest unsolved problems of fluid mechanics is the theoretical description of the inception and growth of instabilities in laminar shear flows that lead to trans- ition to turbulence. The behaviour of small-amplitude disturbances on a laminar flow is reasonably well understood, but understanding of the behaviour of finite-amplitude disturbances is in a much less satisfactory state.