Chapter 5: Introduction to Differential Analysis of Fluid Motion

Similar documents
Lecture 1.1 Introduction to Fluid Dynamics

Chapter 1 - Basic Equations

Chapter 4 FLUID KINEMATICS

MAE 3130: Fluid Mechanics Lecture 5: Fluid Kinematics Spring Dr. Jason Roney Mechanical and Aerospace Engineering

Realistic Animation of Fluids

Inviscid Flows. Introduction. T. J. Craft George Begg Building, C41. The Euler Equations. 3rd Year Fluid Mechanics

Lagrangian and Eulerian Representations of Fluid Flow: Kinematics and the Equations of Motion

1 Mathematical Concepts

Driven Cavity Example

Essay 1: Dimensional Analysis of Models and Data Sets: Similarity Solutions

FLOWING FLUIDS AND PRESSURE VARIATION

2.7 Cloth Animation. Jacobs University Visualization and Computer Graphics Lab : Advanced Graphics - Chapter 2 123

FLUID MECHANICS TESTS

Vector Visualization. CSC 7443: Scientific Information Visualization

Chapter 1 - Basic Equations

Math 113 Calculus III Final Exam Practice Problems Spring 2003

SPC 307 Aerodynamics. Lecture 1. February 10, 2018

Solution for Euler Equations Lagrangian and Eulerian Descriptions

FEMLAB Exercise 1 for ChE366

Solution for Euler Equations Lagrangian and Eulerian Descriptions

Debojyoti Ghosh. Adviser: Dr. James Baeder Alfred Gessow Rotorcraft Center Department of Aerospace Engineering

CS-184: Computer Graphics Lecture #21: Fluid Simulation II

Table of contents for: Waves and Mean Flows by Oliver Bühler Cambridge University Press 2009 Monographs on Mechanics. Contents.

CGT 581 G Fluids. Overview. Some terms. Some terms

Numerical Simulation of Coupled Fluid-Solid Systems by Fictitious Boundary and Grid Deformation Methods

MESHLESS SOLUTION OF INCOMPRESSIBLE FLOW OVER BACKWARD-FACING STEP

13.1. Functions of Several Variables. Introduction to Functions of Several Variables. Functions of Several Variables. Objectives. Example 1 Solution

cuibm A GPU Accelerated Immersed Boundary Method

THE INFLUENCE OF ROTATING DOMAIN SIZE IN A ROTATING FRAME OF REFERENCE APPROACH FOR SIMULATION OF ROTATING IMPELLER IN A MIXING VESSEL

CHAPTER 3. Elementary Fluid Dynamics

Analysis of Flow Dynamics of an Incompressible Viscous Fluid in a Channel

Particle-based Fluid Simulation

Solution for Euler Equations Lagrangian and Eulerian Descriptions

6. Find the equation of the plane that passes through the point (-1,2,1) and contains the line x = y = z.

Microwell Mixing with Surface Tension

Three Dimensional Numerical Simulation of Turbulent Flow Over Spillways

the lines of the solution obtained in for the twodimensional for an incompressible secondorder

Computation of Velocity, Pressure and Temperature Distributions near a Stagnation Point in Planar Laminar Viscous Incompressible Flow

Chapter 5 Partial Differentiation

Lagrangian methods and Smoothed Particle Hydrodynamics (SPH) Computation in Astrophysics Seminar (Spring 2006) L. J. Dursi

Stream Function-Vorticity CFD Solver MAE 6263

Isogeometric Analysis of Fluid-Structure Interaction

Three-dimensional simulation of floating wave power device Xixi Pan 1, a, Shiming Wang 1, b, Yongcheng Liang 1, c

(LSS Erlangen, Simon Bogner, Ulrich Rüde, Thomas Pohl, Nils Thürey in collaboration with many more

BASICS OF FLUID MECHANICS AND INTRODUCTION TO COMPUTATIONAL FLUID DYNAMICS

MA 243 Calculus III Fall Assignment 1. Reading assignments are found in James Stewart s Calculus (Early Transcendentals)

1.2 Numerical Solutions of Flow Problems

14.1 Vector Fields. Gradient of 3d surface: Divergence of a vector field:

Technical Report TR

Animation of Fluids. Animating Fluid is Hard

Fluid Simulation. [Thürey 10] [Pfaff 10] [Chentanez 11]

Module 4: Fluid Dynamics Lecture 9: Lagrangian and Eulerian approaches; Euler's acceleration formula. Fluid Dynamics: description of fluid-motion

Chapter 6. Curves and Surfaces. 6.1 Graphs as Surfaces

Support for Multi physics in Chrono

MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.

6 Fluid. Chapter 6. Fluids. Department of Computer Science and Engineering 6-1

2.29 Numerical Marine Hydrodynamics Spring 2007

In-plane principal stress output in DIANA

An added mass partitioned algorithm for rigid bodies and incompressible flows

Particle-Based Fluid Simulation. CSE169: Computer Animation Steve Rotenberg UCSD, Spring 2016

Path-line Oriented Visualization of Dynamical Flow Fields

There are 10 problems, with a total of 150 points possible. (a) Find the tangent plane to the surface S at the point ( 2, 1, 2).

Chapter 15 Vector Calculus

Smoke Simulation using Smoothed Particle Hydrodynamics (SPH) Shruti Jain MSc Computer Animation and Visual Eects Bournemouth University

Grad operator, triple and line integrals. Notice: this material must not be used as a substitute for attending the lectures

Overview. Applications of DEC: Fluid Mechanics and Meshing. Fluid Models (I) Part I. Computational Fluids with DEC. Fluid Models (II) Fluid Models (I)

SPH: Why and what for?

CFD MODELING FOR PNEUMATIC CONVEYING

Realistic Animation of Fluids

Vector Field Visualisation

Unstructured Mesh Generation for Implicit Moving Geometries and Level Set Applications

ALE Seamless Immersed Boundary Method with Overset Grid System for Multiple Moving Objects

This tutorial illustrates how to set up and solve a problem involving solidification. This tutorial will demonstrate how to do the following:

Drop Impact Simulation with a Velocity-Dependent Contact Angle

A Novel Approach to High Speed Collision

Preliminary Spray Cooling Simulations Using a Full-Cone Water Spray

1. Suppose that the equation F (x, y, z) = 0 implicitly defines each of the three variables x, y, and z as functions of the other two:

Predicting Tumour Location by Modelling the Deformation of the Breast using Nonlinear Elasticity

Background for Surface Integration

Mass-Spring Systems. Last Time?

More Animation Techniques

Modeling and simulation the incompressible flow through pipelines 3D solution for the Navier-Stokes equations

CFD Analysis of 2-D Unsteady Flow Past a Square Cylinder at an Angle of Incidence

Flow Structures Extracted from Visualization Images: Vector Fields and Topology

Strömningslära Fluid Dynamics. Computer laboratories using COMSOL v4.4

Application of Finite Volume Method for Structural Analysis

The Level Set Method. Lecture Notes, MIT J / 2.097J / 6.339J Numerical Methods for Partial Differential Equations

CFD in COMSOL Multiphysics

Math 213 Calculus III Practice Exam 2 Solutions Fall 2002

IMAGE ANALYSIS DEDICATED TO POLYMER INJECTION MOLDING

Guidelines for proper use of Plate elements

Eulerian Techniques for Fluid-Structure Interactions - Part II: Applications

Revision of the SolidWorks Variable Pressure Simulation Tutorial J.E. Akin, Rice University, Mechanical Engineering. Introduction

Modeling of Granular Materials

Navier-Stokes & Flow Simulation

Fundamental Algorithms

Chapter 6 Visualization Techniques for Vector Fields

Possibility of Implicit LES for Two-Dimensional Incompressible Lid-Driven Cavity Flow Based on COMSOL Multiphysics

Numerical and theoretical analysis of shock waves interaction and reflection

Available online at ScienceDirect. Procedia Engineering 111 (2015 )

Transcription:

Chapter 5: Introduction to Differential 5-1 Conservation of Mass 5-2 Stream Function for Two-Dimensional 5-3 Incompressible Flow 5-4 Motion of a Fluid Particle (Kinematics) 5-5 Momentum Equation 5-6 Computational Fluid Dynamics (CFD) 5-7 Exact Solutions of the Navier-Stokes Equation Chapter 5 Introduction to Differential

5-1 Conservation of Mass (1) Basic Law for a System: 5-1

5-1 Conservation of Mass (2) Rectangular Coordinate System: 5-2

5-1 Conservation of Mass (3) Rectangular Coordinate System: Continuity Equation Ignore terms higher than order dx 5-3

5-1 Conservation of Mass (4) Rectangular Coordinate System: Del Operator 5-4

5-1 Conservation of Mass (5) Rectangular Coordinate System: Incompressible Fluid: Steady Flow: 5-5

5-1 Conservation of Mass (6) Cylindrical Coordinate System: 5-6

5-1 Conservation of Mass (7) Cylindrical Coordinate System: Del Operator 5-7

5-1 Conservation of Mass (8) Cylindrical Coordinate System: Incompressible Fluid: Steady Flow: 5-8

5-1 Conservation of Mass (9) Alternative Method: Divergence Theorem: Divergence theorem allows us to transform a volume integral of the divergence of a vector into an area integral over the surface that defines the volume. 5-9

5-1 Conservation of Mass (10) Rewrite conservation of momentum Using divergence theorem, replace area integral with volume integral and collect terms Integral holds for ANY CV, therefore: 5-10

5-1 Conservation of Mass (11) Alternative form: 5-11

5-2 Stream Function for Two-Dimensional Incompressible Flow (1) Two-Dimensional Flow: Stream Function ψ This is true for any smooth function ψ(x,y) 5-12

5-2 Stream Function for Two-Dimensional Incompressible Flow (2) Why do this? Single variable ψ replaces (u,v). Once ψ is known, (u,v) can be computed. Physical significance Curves of constant ψ are streamlines of the flow Difference in ψ between streamlines is equal to volume flow rate between streamlines 5-13

5-2 Stream Function for Two-Dimensional Incompressible Flow (3) Physical Significance: Recall that along astreamline Change in ψ along streamline is zero 5-14

5-2 Stream Function for Two-Dimensional Incompressible Flow (4) Physical Significance: Difference in ψ between streamlines is equal to volume flow rate between streamlines 5-15

5-2 Stream Function for Two-Dimensional Incompressible Flow (5) Cylindrical Coordinates: Stream Function ψ(r,θ) 5-16

5-3 Motion of a Fluid Particle (Kinematics) (1) Lagrangian Description: Lagrangian description of fluid flow tracks the position and velocity of individual particles. Based upon Newton's laws of motion. Difficult to use for practical flow analysis. Fluids are composed of billions of molecules. Interaction between molecules hard to describe/model. However, useful for specialized applications Sprays, particles, bubble dynamics, rarefied gases. Coupled Eulerian-Lagrangian methods. Named after Italian mathematician Joseph Louis Lagrange (1736-1813). 5-17

5-3 Motion of a Fluid Particle (Kinematics) (2) Eulerian Description: Eulerian description of fluid flow: a flow domain or control volume is defined by which fluid flows in and out. We define field variables which are functions of space and time. Pressure field, P=P(x,y,z,t) r r Velocity field, V r r r r V= uxyzti+ vxyzt j+ wxyztk Acceleration field, = V( x, y, z, t) (,,, ) (,,, ) (,,, ) r r a = a x y z t (,,, ) r r r r a= a xyzti+ a xyzt j+ a xyztk (,,, ) (,,, ) (,,, ) x y z These (and other) field variables define the flow field. Well suited for formulation of initial boundary-value problems (PDE's). Named after Swiss mathematician Leonhard Euler (1707-1783). 5-18

5-3 Motion of a Fluid Particle (Kinematics) (3) Fluid Translation: Acceleration of a Fluid Particle in a Velocity Field Fluid Rotation Fluid Deformation Angular Deformation Linear Deformation 5-19

5-3 Motion of a Fluid Particle (Kinematics) (4) Acceleration Field Consider a fluid particle and Newton's second law, r r F = m a particle particle particle The acceleration of the particle is the time derivative of the particle's velocity. r r a particle = particle However, particle velocity at a point is the same as the fluid r r velocity, Vparticle = V( xparticle ( t), yparticle ( t), zparticle ( t) ) To take the time derivative of, chain rule must be used. r a particle dv r r r r Vdt Vdx Vdy Vdz = + + + t dt x dt y dt z dt dt particle particle particle 5-20

5-3 Motion of a Fluid Particle (Kinematics) (5) Since dxparticle dy particle dz particle = u, = v, = w dt dt dt In vector form, the acceleration can be written as r r r r r V V V V aparticle = + u + v + w t x y z 5-21

5-3 Motion of a Fluid Particle (Kinematics) (6) Fluid Translation: Acceleration of a Fluid Particle in a Velocity Field: 5-22

5-3 Motion of a Fluid Particle (Kinematics) (7) The total derivative operator d/dt is call the material derivative and is often given special notation, D/Dt. Advective acceleration is nonlinear: source of many phenomenon and primary challenge in solving fluid flow problems. Provides ``transformation'' between Lagrangian and Eulerian frames. Other names for the material derivative include: total, particle, Lagrangian, Eulerian, and substantial derivative. 5-23

5-3 Motion of a Fluid Particle (Kinematics) (8) There is a direct analogy between the transformation from Lagrangian to Eulerian descriptions (for differential analysis using infinitesimally small fluid elements) and the transformation from systems to control volumes (for integral analysis using large, finite flow fields). 5-24

5-3 Motion of a Fluid Particle (Kinematics) (9) Flow Visualization: Flow visualization is the visual examination of flowfield features. Important for both physical experiments and numerical (CFD) solutions. Numerous methods Streamlines and streamtubes Pathlines Streaklines Timelines Refractive techniques Surface flow techniques 5-25

5-3 Motion of a Fluid Particle (Kinematics) (10) Streamlines A Streamline is a curve that is everywhere tangent to the instantaneous local velocity vector. Consider an arc length r r r r dr = dxi + dyj + dzk dr r must be parallel to the local velocity V r = ui r vector + vj r + wk r Geometric arguments results in the equation for a streamline dr dx dy dz = = = V u v w 5-26

5-3 Motion of a Fluid Particle (Kinematics) (11) Streamlines NASCAR surface pressure contours and streamlines Airplane surface pressure contours, volume streamlines, and surface streamlines 5-27

5-3 Motion of a Fluid Particle (Kinematics) (12) Pathline A Pathline is the actual path traveled by an individual fluid particle over some time period. Same as the fluid particle's material position vector ( xparticle ( t), yparticle ( t), zparticle ( t) ) Particle location at time t: t r = start + r t r x x Vdt start Particle Image Velocimetry (PIV) is a modern experimental technique to measure velocity field over a plane in the flow field. 5-28

5-3 Motion of a Fluid Particle (Kinematics) (13) Streakline: A Streakline is the locus of fluid particles that have passed sequentially through a prescribed point in the flow. Easy to generate in experiments: dye in a water flow, or smoke in an airflow. 5-29

5-3 Motion of a Fluid Particle (Kinematics) (14) For steady flow, streamlines, pathlines, and streaklines are identical. For unsteady flow, they can be very different. Streamlines are an instantaneous picture of the flow field Pathlines and Streaklines are flow patterns that have a time history associated with them. Streakline: instantaneous snapshot of a timeintegrated flow pattern. Pathline: time-exposed flow path of an individual particle. 5-30

5-3 Motion of a Fluid Particle (Kinematics) (15) In fluid mechanics, an element may undergo four fundamental types of motion. a) Translation b) Rotation c) Linear strain d) Shear strain Because fluids are in constant motion, motion and deformation is best described in terms of rates a) velocity: rate of translation b) angular velocity: rate of rotation c) linear strain rate: rate of linear strain d) shear strain rate: rate of shear strain 5-31

5-3 Motion of a Fluid Particle (Kinematics) (16) Fluid Translation: Acceleration of a Fluid Particle in a Velocity Field: 5-32

5-4 Motion of a Fluid Particle (Kinematics) (17) Fluid Translation: Acceleration of a Fluid Particle in a Velocity Field (Cylindrical): 5-33

5-4 Motion of a Fluid Particle (Kinematics) (18) Fluid Rotation: 5-34

5-4 Motion of a Fluid Particle (Kinematics) (19) Vorticity and Rotationality: The vorticity vector is defined as the curl of the r r r velocity vector ζ = V Vorticity is equal to twice the angular velocity of a fluid particle. r r Cartesian coordinates ζ = 2ω r w v r u w r v u r ζ = i + j + k y z z x x y Cylindrical coordinates In regions where z = 0, the flow is called irrotational. Elsewhere, the flow is called rotational. ( ru ) r 1 uz uθ r ur uz r θ u r r ζ = er + eθ + e r θ z z r r θ z 5-35

5-4 Motion of a Fluid Particle (Kinematics) (20) Vorticity and Rotationality: 5-36

5-4 Motion of a Fluid Particle (Kinematics) (21) Comparison of Two Circular Flows: Special case: consider two flows with circular streamlines ur = 0, uθ = ωr 2 r 1 ( ru ) u 1 ( r θ ) r r ω r r ζ = e = 0 e = 2ωe r r θ r r z z z K ur = 0, uθ = r r 1 ( ruθ ) u r r 1 ( K ) r r ζ = e = 0 e = 0e r r θ r r z z z 5-37

5-4 Motion of a Fluid Particle (Kinematics) (22) Fluid Deformation: Angular Deformation 5-38

5-4 Motion of a Fluid Particle (Kinematics) (23) Shear Strain Rate at a point is defined as half of the rate of decrease of the angle between two initially perpendicular lines that intersect at a point. Shear strain rate can be expressed in Cartesian coordinates as: 1 u v 1 1 xy, w u zx, v ε ε ε w = yz 2 + = + = + y x 2 x z 2 z y 5-39

5-4 Motion of a Fluid Particle (Kinematics) (24) We can combine linear strain rate and shear strain rate into one symmetric second-order tensor called the strain-rate tensor. u 1 u v 1 u w + + x 2 y x 2 z x εxx εxy ε xz 1 v u v 1 v w εij = εyx εyy εyz = 2 + x y y 2 + z y εzx εzy ε zz 1 w u 1 w v w + + 2 x z 2 y z z 5-40

5-4 Motion of a Fluid Particle (Kinematics) (25) Fluid Deformation: Linear Deformation 5-41

5-4 Motion of a Fluid Particle (Kinematics) (26) Linear Strain Rate is defined as the rate of increase in length per unit length. In Cartesian coordinates u xx, v ε = εyy =, ε w zz = x y z Volumetric strain rate in Cartesian coordinates 1 DV u v = ε w xx + εyy + εzz = + + V Dt x y z Since the volume of a fluid element is constant for an incompressible flow, the volumetric strain rate must be zero. 5-42

5-5 Momentum Equation (1) Newton s Second Law: 5-43

5-5 Momentum Equation (2) Forces Acting on a Fluid Particle: 5-44

5-5 Momentum Equation (3) Differential Momentum Equation: or 5-45

5-5 Momentum Equation (4) Stress Tensor: σ xx σ xy σ xz p 0 0 τ xx τ xy τ xz σ ij = σ yx σ yy σ yz = 0 p 0 σ zx σ zy σ + τ yx τ yy τ yz zz 0 0 p τ zx τ zy τ zz Viscous (Deviatoric) Stress Tensor 5-46

5-5 Momentum Equation (5) Unfortunately, this equation is not very useful 10 unknowns Stress tensor, σ ij : 6 independent components Density ρ Velocity, V : 3 independent components 4 equations (continuity + momentum) 6 more equations required to close problem! 5-47

5-5 Momentum Equation (6) First step is to separate σ ij into pressure and viscous stresses σ xx σ xy σ xz p 0 0 τ xx τ xy τ xz σ ij = σ yx σ yy σ yz = 0 p 0 σ zx σ zy σ + τ yx τ yy τ yz zz 0 0 p τ zx τ zy τ zz Situation not yet improved Viscous (Deviatoric) Stress Tensor 6 unknowns in σ ij 6 unknowns in τ ij + 1 in P, which means that we ve added 1! 5-48

5-5 Momentum Equation (7) Reduction in the number of variables is achieved by relating shear stress to strainrate tensor. For Newtonian fluid with constant properties Newtonian fluid includes most common fluids: air, other gases, water, gasoline Newtonian closure is analogous to Hooke s Law for elastic solids 5-49

5-5 Momentum Equation (8) Substituting Newtonian closure into stress tensor gives Using the definition of ε ij 5-50

5-5 Momentum Equation (9) Substituting σ ij into Cauchy s equation gives the Navier-Stokes equations Incompressible NSE written in vector form This results in a closed system of equations! 4 equations (continuity and momentum equations) 4 unknowns (U, V, W, p) 5-51

5-5 Momentum Equation (10) Navier-Stokes Equation: In addition to vector form, incompressible N-S equation can be written in several other forms Cartesian coordinates Cylindrical coordinates Tensor notation 5-52

5-5 Momentum Equation (11) Newtonian Fluid: Navier-Stokes Equations: 5-53

5-5 Momentum Equation (12) Tensor and Vector notation offer a more compact form of the equations. Continuity Tensor notation Vector notation Tensor notation Conservation of Momentum Vector notation Repeated indices are summed over j (x 1 = x, x 2 = y, x 3 = z, U 1 = U, U 2 = V, U 3 = W) 5-54

5-5 Momentum Equation (13) Special Case: Euler s Equation 5-55

5-5 Momentum Equation (14) Alternative method: Body Force Surface Force σ ij = stress tensor Using the divergence theorem to convert area integrals 5-56

5-5 Momentum Equation (15) *Recognizing that this holds for any CV, the integral may be dropped This is Cauchy s Equation Can also be derived using infinitesimal CV and Newton s 2nd Law 5-57

5-5 Momentum Equation (16) Alternate form of the Cauchy Equation can be derived by introducing Inserting these into Cauchy Equation and rearranging gives 5-58

5-6 Computational Fluid Dynamics (1) Some Applications: 5-59

5-6 Computational Fluid Dynamics (2) Discretization: 5-60

5-7 Exact Solutions of the Navier Stokes Equation (1) Recall Chap 4: Control volume (CV) versions of the laws of conservation of mass and energy Chap 5: CV version of the conservation of momentum CV, or integral, forms of equations are useful for determining overall effects However, we cannot obtain detailed knowledge about the flow field inside the CV motivation for differential analysis 5-61

5-7 Exact Solutions of the Navier Stokes Equation (2) Example: incompressible Navier-Stokes equations We will learn: Physical meaning of each term How to derive How to solve 5-62

5-7 Exact Solutions of the Navier Stokes Equation (3) For example, how to solve? Step 1 Analytical Fluid Dynamics Setup Problem and geometry, identify all dimensions and parameters 2 3 4 5 6 List all assumptions, approximations, simplifications, boundary conditions Simplify PDE s Integrate equations Apply I.C. s and B.C. s to solve for constants of integration Verify and plot results 5-63

5-7 Exact Solutions of the Navier Stokes Equation (4) Navier-Stokes equations Incompressible NSE written in vector form This results in a closed system of equations! 4 equations (continuity and momentum equations) 4 unknowns (U, V, W, p) 5-64

5-7 Exact Solutions of the Navier Stokes Equation (5) Continuity X-momentum Y-momentum Z-momentum 5-65

5-7 Exact Solutions of the Navier Stokes Equation (6) There are about 80 known exact solutions to the NSE (Navier- Stokes Equation) The can be classified as: Linear solutions where the convective term is zero Nonlinear solutions where convective term is not zero Solutions can also be classified by type or geometry 1. Couette shear flows 2. Steady duct/pipe flows 3. Unsteady duct/pipe flows 4. Flows with moving boundaries 5. Similarity solutions 6. Asymptotic suction flows 7. Wind-driven Ekman flows 5-66

5-7 Exact Solutions of the Navier Stokes Equation (7) No-slip boundary condition: For a fluid in contact with a solid wall, the velocity of the fluid must equal that of the wall 5-67

5-7 Exact Solutions of the Navier Stokes Equation (8) Interface boundary condition: When two fluids meet at an interface, the velocity and shear stress must be the same on both sides If surface tension effects are negligible and the surface is nearly flat 5-68

5-7 Exact Solutions of the Navier Stokes Equation (9) Interface boundary condition: Degenerate case of the interface BC occurs at the free surface of a liquid. Same conditions hold Since μ air << μ water, As with general interfaces, if surface tension effects are negligible and the surface is nearly flat P water = P air 5-69

5-7 Exact Solutions of the Navier Stokes Equation (10) Example exact solution: Fully Developed Couette Flow For the given geometry and BC s, calculate the velocity and pressure fields, and estimate the shear force per unit area acting on the bottom plate Step 1: Geometry, dimensions, and properties 5-70

5-7 Exact Solutions of the Navier Stokes Equation (11) Step 2: Assumptions and BC s Assumptions 1. Plates are infinite in x and z 2. Flow is steady, / t = 0 3. Parallel flow, V=0 4. Incompressible, Newtonian, laminar, constant properties 5. No pressure gradient 6. 2D, W=0, / z = 0 7. Gravity acts in the -z direction, Boundary conditions 1. Bottom plate (y=0) : u=0, v=0, w=0 2. Top plate (y=h) : u=v, v=0, w=0 5-71

5-7 Exact Solutions of the Navier Stokes Equation (12) Step 3: Simplify Continuity 3 6 Note: these numbers refer to the assumptions on the previous slide X-momentum This means the flow is fully developed or not changing in the direction of flow 2 Cont. 3 6 5 7 Cont. 6 5-72

5-7 Exact Solutions of the Navier Stokes Equation (13) Step 3: Simplify, cont. Y-momentum 2,3 3 3 3,6 7 3 3 3 Z-momentum 2,6 6 6 6 7 6 6 6 5-73

5-7 Exact Solutions of the Navier Stokes Equation (14) Step 4: Integrate X-momentum integrate integrate Z-momentum integrate 5-74

5-7 Exact Solutions of the Navier Stokes Equation (15) Step 5: Apply BC s y=0, u=0=c 1 (0) + C 2 C 2 = 0 y=h, u=v=c 1 h C 1 = V/h This gives For pressure, no explicit BC, therefore C 3 can remain an arbitrary constant (recall only P appears in NSE). Let p = p 0 at z = 0 (C 3 renamed p 0 ) 1. Hydrostatic pressure 2. Pressure acts independently of flow 5-75

5-7 Exact Solutions of the Navier Stokes Equation (16) Step 6: Verify solution by back-substituting into differential equations Given the solution (u,v,w)=(vy/h, 0, 0) Continuity is satisfied 0 + 0 + 0 = 0 X-momentum is satisfied 5-76

5-7 Exact Solutions of the Navier Stokes Equation (17) Finally, calculate shear force on bottom plate Shear force per unit area acting on the wall Note that τ w is equal and opposite to the shear stress acting on the fluid τ yx (Newton s third law). 5-77