MECH 221 FLUID MECHANICS (Fall 06/07) Chapter 6: DIMENTIONAL ANALYSIS PowerPoint PPT Presentation

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Title: MECH 221 FLUID MECHANICS (Fall 06/07) Chapter 6: DIMENTIONAL ANALYSIS


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MECH 221 FLUID MECHANICS(Fall 06/07)Chapter 6
DIMENTIONAL ANALYSIS
  • Instructor Professor C. T. HSU

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6 Dimensional Analysis
  • The objective of dimensional analysis is to
    obtain the key non-dimensional parameters that
    govern the physical phenomena of flows.
  • Variables like etc. are combined to
    form the key parameters that have no physical
    units (dimensionless). The non-dimensional
    parameters include both the geometric and dynamic
    parameters.

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6.1 Similarity
  • Geometric Similarity
  • Dynamic Similarity
  • Two flows are said to be similar if they have the
    same geometric and dynamic dimensionless
    parameters.

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6.1.1 Geometrical Similarity
  • Two body are geometrically similar, if the
    geometry of one can be obtained from another by
    scaling all dimensions by the same factor.

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6.1.2 Dynamic Similarity
  • Flows are said to be dynamically similar if by
    scaling the dependent and independent variables
    they yield the same non-dimensional parameter.
  • This is more difficult to achieve than the
    geometric similarity.
  • What are these non-dimensional parameters?
  • How can they be found?

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6.2 Buckingham Pi Theorem
  • Dimensionless product is the product of several
    dimensional quantities that render the product
    dimensionless
  • The rank of matrix Nm is the minimum dimensions
    that leads to non-zero determinant, which is also
    the minimum dimensions of the quantities that
    describe the physics.

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6.2 Buckingham Pi Theorem
  • Given the quantities that are required to
    describe a physical law, the number of
    dimensionless product (the Pis, Np) that can
    be formed to describe the physics equals the
    number of quantities (Nv) minus the rank of the
    quantities, i.e., NpNv Nm,

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6.2.1 Example
  • Viscous drag on an infinitely long circular
    cylinder in a steady uniform flow at free stream
    of an incompressible fluid.
  • Geometrical similarity is automatically satisfied
    since the diameter (R) is the only length scale
    involved.

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6.2.1 Example
  • Dynamics similarity

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6.2.1 Example
  • Both sides must have the same dimensions!

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6.2.1 Example
  • where is the kinematic viscosity.
  • The non-dimensional parameters are

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6.2.1 Example
  • Therefore, the functional relationship must be of
    the form
  • The number of dimensionless groups is Np2

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6.2.1 Example
  • The matrix of the exponents is
  • The rank of the matrix (Nm) is the order of the
    largest non-zero determinant formed from the rows
    and columns of a matrix, i.e. Nm3.

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6.2.1 Example
  • Problems
  • No clear physics can be based on to know the
    involved quantities
  • Assumption is not easy to
    justified.

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6.3 Normalization Method
  • The more physical method for obtaining the
    relevant parameters that govern the problem is to
    perform the non-dimensional normalization on the
    Navier-Stokes equations
  • where the body force is taken as that due to
    gravity.

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6.3 Normalization Method
  • As a demonstration of the method, we consider the
    simple steady flow of incompressible fluids,
    similar to that shown above for steady flows past
    a long cylinder.
  • Then the Navier-Stokes equations reduce to

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6.3 Normalization Method
  • If the proper scales of the problem are
  • Here the flow domain under consideration is
    assumed such that the scales in x, y and z
    directions are the same

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6.3 Normalization Method
  • Using these scales, the variables are normalized
    to obtain the non-dimensional variables as
  • Note that the non-dimensional variable with
    are of order one, O(1).
  • The velocity scale U and the length scale L are
    well defined, but the scale P remains to be
    determined.

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6.3 Normalization Method
  • The Navier-Stokes equations then become
  • where is the unit vector in the direction of
    gravity which is dimensionless.

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6.3 Normalization Method
  • The coefficient of in the continuity
    equation can be divided to yield
  • Dividing the momentum equations by in
    the first term of left hand side gives

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6.3 Normalization Method
  • Since the quantities with are of O(1), the
    coefficients appeared in each term on the right
    hand side measure the ratios of each forces to
    the inertia force. i.e.,
  • where Re is called as Reynolds number and Fr as
    Froude number.

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6.3 Normalization Method
  • The dynamic of fluid motion then depends solely
    on the magnitudes of these non-dimension
    parameters, i.e., pressure coefficient and
    gravitational body-force coefficient.
  • Flows are dynamically similar if they have the
    same Re and Fr

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6.3 Normalization Method
  • Remark
  • New non-dimensional parameters can also emerge
    from the non-dimensional analysis on the boundary
    conditions which is not deliberated here.
  • The dimensional analysis reduces experimentalists
    the need of carrying out measurements for
    different U, D, etc.

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6.4 Characteristics of Non-Dimensional Parameters
  • Reynolds Number
  • Froude Number

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6.4.1 Reynolds Number
  • Lets for simplicity consider the case where the
    gravitational force has no consequence to the
    dynamic of the flow, i.e. the case where
    or the contribution of is only to the static
    pressure. Then, the pressure P represents the
    dynamics pressure.
  • The normalized momentum equation becomes

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6.4.1 Reynolds Number
  • where is the viscous diffusion length in
    an advection time interval of .
  • Here, measures the time required
    for fluid travel a distance L.

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6.4.1 Reynolds Number
  • High Reynolds Number Flow, Regtgt1
  • Intermediate Reynolds Number Flow, Re1
  • Low Reynolds Number Flow, Reltlt1

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6.4.1.1 High Reynolds Number Flow
  • When , inertia force is much greater
    than viscous force, i.e., the viscous diffusion
    distance is much less than the length L.
  • Viscous force is unimportant in the flow region
    of
  • , but can become very important in the
    region of
  • near the solid boundary.
  • This flow region near the solid boundary is
    called an boundary layer as first illustrated by
    Prandtl.

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6.4.1.1 High Reynolds Number Flow
  • Flow in the region outside the boundary layer
    where viscous force is negligible is inviscid.
    The inviscid flow is also called the potential
    flow.

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6.4.1.1 High Reynolds Number Flow
  • The normalized dimensionless equation to the
    first order approximation is
  • Clearly, the proper pressure scale should be
    chosen such that is of O(1), and for
    simplicity, can be set as
    is the proper pressure scale for high
    Reynolds number flow.
  • Flows in the boundary layer are governed by
    boundary layer equations that need to be derived
    separately with different approach

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6.4.1.1 High Reynolds Number Flow
  • For inviscid, incompressible, steady flow, the
    governing equations in terms of dimensional
    variable to the first order approximation are
    written as,
  • If the gravitational force is retrieved, then we
    have
  • where is the steady Euler equations for
    incompressible fluid as given in Chapter 2.

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6.4.1.2 Intermediate Reynolds Number Flow
  • When , inertia forces and viscous forces
    are of equal importance. The flow is viscous in a
    region of surrounding the body since
  • . No approximation can be done.

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6.4.1.2 Intermediate Reynolds Number Flow
  • The governing equations remain as
  • whose solutions satisfying proper boundary
    conditions can usually only be obtained
    numerically.

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6.4.1.3 Low Reynolds Number Flow
  • When , the inertia force is very much
    smaller than the viscous force. The viscous
    diffusion length is much larger than L.
  • The flow is viscous for almost the entire region
    except at vary far away from the solid boundary.

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6.4.1.3 Low Reynolds Number Flow
U
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6.4.1.3 Low Reynolds Number Flow
  • Since implies , the
    inertia force is negligible and the pressure
    force has to balance the viscous force.
    Therefore, the proper scale for P is such that
  • The governing equation for low Reynolds number
    flows, without the gravitational force, can be
    approximated to the first order by

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6.4.1.3 Low Reynolds Number Flow
  • If the gravitational force is recapped, the
    governing equations to the first order
    approximation becomes
  • Flows of low Reynolds number are called the
    Stokes flows, or creeping flows.
  • One such example is the settling of small
    particles in water. Lava flows from volcanic
    eruption are also typical low Reynolds number
    flows although the viscosity is non-Newtonian.

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6.4.1.4 Dynamically Similar Reynolds Number
  • Flows with the same Reynolds number are
    dynamically similar.
  • For example, flight of very small insects in air
    can be studied much more easily on large models
    in very viscous fluid (liquids).
  • Similarly, flows for large object such as train,
    airplane, tall buildings, etc., can be studied
    experimentally with small models.
  • (Note They should be geometrically similar)

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6.4.2 Froude Number
  • The Froude number measures the gravitational
    effect on the flows. It depends on the problem
    encountered.
  • For instance in free surface flows, is
    the phase speed c of shallow water gravity waves
    when L is water depth. The Froude number becomes

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6.4.2 Froude Number
  • If U represents the speed of a ship moving on a
    flat water surface, the wave patterns generated
    by the ship, called ship wakes, then depend on
    whether the Froude number is
    .

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6.4.2 Froude Number
  • Another example is the rising of a hot-air
    balloon, which is characterized by the net
    buoyancy force. The natural convection flows
    generated by a vertical heated surface represents
    another example.

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6.4.2 Froude Number
  • The ratio of the net buoyancy force
    (per unit volume) to the inertia force
    (per unit volume) is
  • where Ri is the Richardson number. The
    Richardson number is the key parameter in dealing
    with advection of fluid of different density.
  • Another example is the propagation internal waves
    in stratified fluids.

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6.5 Map based on Non-Dimensional Parameter Flow
ln Fr
Re1
Fr1
ln Re
Fr0
Re0
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