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Chapter 7
DIMENSIONAL ANALYSIS
    AND MODELING
      Lecture slides by
     Adam, KV Sharma
DIMENSIONS AND UNITS
Dimension: A measure of a physical quantity (without numerical
values).
Unit: A way to assign a number to that dimension.
There are seven primary dimensions :
        1. Mass       m      (kg)
        2. Length     L      (m)
        3. Time       t      (sec)
        4. Temperature       T       (K)
        5. Current    I      (A)
        6. Amount of Light   C       (cd)
        7. Amount of matter N        (mol)

All non-primary dimensions can be formed by some combination
of the seven primary dimensions.

       {Velocity} = {Length/Time} = {L/t}
       {Force} = {Mass Length/Time} = {mL/t2}
                                                                 2
The water strider
is an insect that
can walk on water
due to surface      3
tension.
7–2 ■ DIMENSIONAL HOMOGENEITY
 The law of dimensional homogeneity: Every additive
 term in an equation must have the same dimensions.




You can’t add apples and oranges!                     4
7–2 ■ DIMENSIONAL HOMOGENEITY
The law of dimensional homogeneity: Every additive
term in an equation must have the same dimensions.
Bernoulli equation




                                                     5
Nondimensionalization of Equations
Nondimensional equation: If we divide each term in the equation
by a collection of variables and constants whose product has those
same dimensions, the equation is rendered nondimensional.


Most of which are named after a notable scientist or engineer (e.g.,
the Reynolds number and the Froude number).




                                    A nondimensionalized form of the
                                    Bernoulli equation is formed by
                                    dividing each additive term by a
                                    pressure (here we use P∞). Each
                                    resulting term is dimensionless
                                    (dimensions of {1}).

                                                                       6
In a general unsteady fluid flow problem with a free surface, the scaling
parameters include a characteristic length L, a characteristic velocity V, a
characteristic frequency f, and a reference pressure difference P0 − P∞.
Nondimensionalization of the differential equations of fluid flow produces
four dimensionless parameters: the Reynolds number, Froude number,             7
Strouhal number, and Euler number.
In Fluid Mechanics,
•the Reynolds number (Re) is a dimensionless number that gives a
measure of the ratio of inertial forces to viscous forces.
•The Froude number (Fr) is a dimensionless number defined as the
ratio of a body's inertia to gravitational forces. In fluid mechanics, the
Froude number is used to determine the resistance of a partially
submerged object moving through water, and permits the comparison
of objects of different sizes.
•The Strouhal number (St) is a dimensionless number describing
oscillating flow mechanisms.
•The Euler number (Eu) is a dimensionless number used in fluid flow
calculations. It expresses the relationship between a local pressure
drop over a restriction and the kinetic energy per volume, and is used
to characterize losses in the flow, where a perfect frictionless flow
corresponds to an Euler number of 1.

                                                                         8
DIMENSIONAL ANALYSIS AND SIMILARITY

In most experiments, to save time and money, tests are
   performed on a geometrically scaled model, not on the
   full-scale prototype.
In such cases, care must be taken to properly scale the
   results. Thus, powerful technique called dimensional
   analysis is needed.

The three primary purposes of dimensional analysis are
• To generate non-dimensional parameters that help in the design
   of experiments and in the reporting of experimental results
• To obtain scaling laws so that prototype performance can be
   predicted from model performance
• To predict trends in the relationship between parameters
                                                                9
DIMENSIONAL ANALYSIS AND SIMILARITY
Greek letter Pi (Π) denote a non-dimensional parameter.
In a general dimensional analysis problem, there is one Π that we
call the dependent Π, giving it the notation Π1.
The parameter Π1 is in general a function of several other Π’s, which
we call independent Π’s.




                                                                        10
DIMENSIONAL ANALYSIS AND SIMILARITY
The principle of similarity
Three necessary conditions for complete similarity between a model and a
   prototype.
(1) Geometric similarity—the model must be the same shape as the
    prototype, but may be scaled by some constant scale factor.
(2) Kinematic similarity—the velocity at any point in the model flow must be
    proportional (by a constant scale factor) to the velocity at the corresponding
    point in the prototype flow.
(3) dynamic similarity—When all forces in the model flow scale by a constant
    factor to corresponding forces in the prototype flow (force-scale
    equivalence).

To achieve similarity




                                                                                 11
To ensure complete similarity, the model and prototype must be
 geometrically similar, and all independent groups must match between
 model and prototype.




                                  Kinematic similarity is
                                  achieved when, at all
                                  locations, the speed in the
                                  model flow is proportional to
                                  that at corresponding
                                  locations in the prototype
                                  flow, and points in the same
                                  direction.

In a general flow field, complete similarity between a model and
prototype is achieved only when there is geometric, kinematic, and
dynamic similarity.                                                  12
A 1 : 46.6 scale
model of an Arleigh
Burke class U.S.
Navy fleet destroyer
being tested in the
100-m long towing
tank at the University
of Iowa. The model is
3.048 m long. In tests
like this, the Froude
number is the most
important
nondimensional
parameter.         13
Geometric similarity between a
                                       prototype car of length Lp and a model
                                       car of length Lm. In the case of
                                       aerodynamic drag on the automobile,
                                       there are only two Π’s in the problem.




FD is the magnitude of the aerodynamic drag on the car, and so on forming
drag coefficient equation.
The Reynolds number is the most well known and useful dimensionless         14
parameter in all of fluid mechanics.
A drag balance is a device used
in a wind tunnel to measure the
aerodynamic drag of a body.
When testing automobile models,
a moving belt is often added to
the floor of the wind tunnel to
simulate the moving ground (from
the car’s frame of reference).     15
16
If a water tunnel is used instead of a wind tunnel to test their one-fifth
scale model, the water tunnel speed required to achieve similarity is




                                             One advantage of a water tunnel
                                             is that the required water tunnel
                                             speed is much lower than that
                                             required for a wind tunnel using
                                             the same size model (221 mi/h
                                             for air and 16.1 mi/h for water) .



                                           Similarity can be achieved
                                           even when the model fluid
                                           is different than the
                                           prototype fluid. Here a
                                           submarine model is tested
                                                                                  17
                                           in a wind tunnel.
A drag balance is a device used
in a wind tunnel to measure the
aerodynamic drag of a body.
When testing automobile models,
a moving belt is often added to
the floor of the wind tunnel to
simulate the moving ground (from
the car’s frame of reference).
                                   18
19
THE METHOD OF REPEATING VARIABLES
AND THE BUCKINGHAM PI THEOREM
How to generate the
nondimensional analysis?
There are several method but the
most popular was introduced by
Edgar Buckingham called the
method of repeating variables.


Step must be taken to generate
the non-dimensional parameters,
i.e., the Π’s?




          A concise summary of
          the six steps that
          comprise the method of
                                    20
          repeating variables.
THE METHOD OF REPEATING VARIABLES

Step 1




                   Setup for dimensional analysis of a ball
                   falling in a vacuum.

                   Pretend that we do not know the equation
                   related but only know the relation of
                   elevation z is a function of time t, initial
                   vertical speed w0, initial elevation z0, and
                   gravitational constant g. (Step 1)




                                                          21
Step 2


            n=5




         A concise summary of
         the six steps that
         comprise the method of
                                  22
         repeating variables.
The primary dimensions are [M], [L] and [t].
   The number of primary dimensions in the problem are (L and t).
Step 3

   Then the number of Π’s predicted by the Buckingham Pi theorem
   is




         A concise summary of
         the six steps that
         comprise the method of
                                                                23
         repeating variables.
Need to choose two repeating parameters since j=2.
Therefore

Step 4
Caution
1. Never choose dependent variable
2. Do not choose variables that can form dimensionless group
3. If there are three primary dimension available , must choose repeating
   variables which include all three primary dimensions.
4. Don’t pick dimensionless variables. For example, radian or degree.
5. Never pick two variables with same dimensions or dimensions that differ
   by only an exponent. For example, w0 and g.
6. Pick common variables such as length, velocity, mass or density. Don’t
   pick less common like viscosity or surface tension.
7. Always pick simple variables instead of complex variables such as
   energy or pressure.



          A concise summary of
          the six steps that
          comprise the method of
                                                                             24
          repeating variables.
Step 5: Construct the k Π’s , and manipulate as necessary




                                                            25
Need modification for commonly used nondimensional parameters.

Step 6




                                                                    26
The pressure inside a
soap bubble is greater
than that surrounding
the soap bubble due to
surface tension in the
soap film.
                         27
If the method of
repeating
variables indicates
zero Π’s, we have
either made an
error, or we need
to reduce j by one
and start over.




            28
29
30
31
32
33
34
35
36
Although the Darcy friction
factor for pipe flows is most
common, you should be
aware of an alternative, less
common friction factor called
the Fanning friction factor.
The relationship between the
two is f = 4Cf .                37
38
DIMENSIONLESS PARAMETER

 In dimensional analysis, a dimensionless quantity or quantity
    of dimension one is a quantity without an associated
    physical dimension.
 It is thus a "pure" number, and as such always has a
    dimension of 1.

 Other examples of dimensionless quantities:
 - Weber number (We),
 - Mach (M),
 - Darcy friction factor (Cf or f),
 - Drag coefficient (Cd) etc.



                                                                 39
RAYLEIGH METHOD


Rayleigh's method of dimensional analysis is a conceptual
  tool used in physics, chemistry, and engineering.


This form of dimensional analysis expresses a functional
  relationship of some variables in the form of an
  exponential equation.
It was named after Lord Rayleigh.




                                                            40
The method involves the following steps:
•Gather all the independent variables that are likely to influence the
dependent variable.
•If X is a variable that depends upon independent variables
X1, X2, X3, ..., Xn, then the functional equation can be written as X
= F(X1, X2, X3, ..., Xn).
•Write the above equation in the form where C is a dimensionless
constant and a, b, c, ..., m are arbitrary exponents.
•Express each of the quantities in the equation in some fundamental
units in which the solution is required.
•By using dimensional homogeneity, obtain a set of simultaneous
equations involving the exponents a, b, c, ..., m.
•Solve these equations to obtain the value of exponents a, b, c, ..., m.
•Substitute the values of exponents in the main equation, and form the
non-dimensional parameters by grouping the variables with like
exponents.                                                            41

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10. fm dimensional analysis adam

  • 1. Chapter 7 DIMENSIONAL ANALYSIS AND MODELING Lecture slides by Adam, KV Sharma
  • 2. DIMENSIONS AND UNITS Dimension: A measure of a physical quantity (without numerical values). Unit: A way to assign a number to that dimension. There are seven primary dimensions : 1. Mass m (kg) 2. Length L (m) 3. Time t (sec) 4. Temperature T (K) 5. Current I (A) 6. Amount of Light C (cd) 7. Amount of matter N (mol) All non-primary dimensions can be formed by some combination of the seven primary dimensions. {Velocity} = {Length/Time} = {L/t} {Force} = {Mass Length/Time} = {mL/t2} 2
  • 3. The water strider is an insect that can walk on water due to surface 3 tension.
  • 4. 7–2 ■ DIMENSIONAL HOMOGENEITY The law of dimensional homogeneity: Every additive term in an equation must have the same dimensions. You can’t add apples and oranges! 4
  • 5. 7–2 ■ DIMENSIONAL HOMOGENEITY The law of dimensional homogeneity: Every additive term in an equation must have the same dimensions. Bernoulli equation 5
  • 6. Nondimensionalization of Equations Nondimensional equation: If we divide each term in the equation by a collection of variables and constants whose product has those same dimensions, the equation is rendered nondimensional. Most of which are named after a notable scientist or engineer (e.g., the Reynolds number and the Froude number). A nondimensionalized form of the Bernoulli equation is formed by dividing each additive term by a pressure (here we use P∞). Each resulting term is dimensionless (dimensions of {1}). 6
  • 7. In a general unsteady fluid flow problem with a free surface, the scaling parameters include a characteristic length L, a characteristic velocity V, a characteristic frequency f, and a reference pressure difference P0 − P∞. Nondimensionalization of the differential equations of fluid flow produces four dimensionless parameters: the Reynolds number, Froude number, 7 Strouhal number, and Euler number.
  • 8. In Fluid Mechanics, •the Reynolds number (Re) is a dimensionless number that gives a measure of the ratio of inertial forces to viscous forces. •The Froude number (Fr) is a dimensionless number defined as the ratio of a body's inertia to gravitational forces. In fluid mechanics, the Froude number is used to determine the resistance of a partially submerged object moving through water, and permits the comparison of objects of different sizes. •The Strouhal number (St) is a dimensionless number describing oscillating flow mechanisms. •The Euler number (Eu) is a dimensionless number used in fluid flow calculations. It expresses the relationship between a local pressure drop over a restriction and the kinetic energy per volume, and is used to characterize losses in the flow, where a perfect frictionless flow corresponds to an Euler number of 1. 8
  • 9. DIMENSIONAL ANALYSIS AND SIMILARITY In most experiments, to save time and money, tests are performed on a geometrically scaled model, not on the full-scale prototype. In such cases, care must be taken to properly scale the results. Thus, powerful technique called dimensional analysis is needed. The three primary purposes of dimensional analysis are • To generate non-dimensional parameters that help in the design of experiments and in the reporting of experimental results • To obtain scaling laws so that prototype performance can be predicted from model performance • To predict trends in the relationship between parameters 9
  • 10. DIMENSIONAL ANALYSIS AND SIMILARITY Greek letter Pi (Π) denote a non-dimensional parameter. In a general dimensional analysis problem, there is one Π that we call the dependent Π, giving it the notation Π1. The parameter Π1 is in general a function of several other Π’s, which we call independent Π’s. 10
  • 11. DIMENSIONAL ANALYSIS AND SIMILARITY The principle of similarity Three necessary conditions for complete similarity between a model and a prototype. (1) Geometric similarity—the model must be the same shape as the prototype, but may be scaled by some constant scale factor. (2) Kinematic similarity—the velocity at any point in the model flow must be proportional (by a constant scale factor) to the velocity at the corresponding point in the prototype flow. (3) dynamic similarity—When all forces in the model flow scale by a constant factor to corresponding forces in the prototype flow (force-scale equivalence). To achieve similarity 11
  • 12. To ensure complete similarity, the model and prototype must be geometrically similar, and all independent groups must match between model and prototype. Kinematic similarity is achieved when, at all locations, the speed in the model flow is proportional to that at corresponding locations in the prototype flow, and points in the same direction. In a general flow field, complete similarity between a model and prototype is achieved only when there is geometric, kinematic, and dynamic similarity. 12
  • 13. A 1 : 46.6 scale model of an Arleigh Burke class U.S. Navy fleet destroyer being tested in the 100-m long towing tank at the University of Iowa. The model is 3.048 m long. In tests like this, the Froude number is the most important nondimensional parameter. 13
  • 14. Geometric similarity between a prototype car of length Lp and a model car of length Lm. In the case of aerodynamic drag on the automobile, there are only two Π’s in the problem. FD is the magnitude of the aerodynamic drag on the car, and so on forming drag coefficient equation. The Reynolds number is the most well known and useful dimensionless 14 parameter in all of fluid mechanics.
  • 15. A drag balance is a device used in a wind tunnel to measure the aerodynamic drag of a body. When testing automobile models, a moving belt is often added to the floor of the wind tunnel to simulate the moving ground (from the car’s frame of reference). 15
  • 16. 16
  • 17. If a water tunnel is used instead of a wind tunnel to test their one-fifth scale model, the water tunnel speed required to achieve similarity is One advantage of a water tunnel is that the required water tunnel speed is much lower than that required for a wind tunnel using the same size model (221 mi/h for air and 16.1 mi/h for water) . Similarity can be achieved even when the model fluid is different than the prototype fluid. Here a submarine model is tested 17 in a wind tunnel.
  • 18. A drag balance is a device used in a wind tunnel to measure the aerodynamic drag of a body. When testing automobile models, a moving belt is often added to the floor of the wind tunnel to simulate the moving ground (from the car’s frame of reference). 18
  • 19. 19
  • 20. THE METHOD OF REPEATING VARIABLES AND THE BUCKINGHAM PI THEOREM How to generate the nondimensional analysis? There are several method but the most popular was introduced by Edgar Buckingham called the method of repeating variables. Step must be taken to generate the non-dimensional parameters, i.e., the Π’s? A concise summary of the six steps that comprise the method of 20 repeating variables.
  • 21. THE METHOD OF REPEATING VARIABLES Step 1 Setup for dimensional analysis of a ball falling in a vacuum. Pretend that we do not know the equation related but only know the relation of elevation z is a function of time t, initial vertical speed w0, initial elevation z0, and gravitational constant g. (Step 1) 21
  • 22. Step 2 n=5 A concise summary of the six steps that comprise the method of 22 repeating variables.
  • 23. The primary dimensions are [M], [L] and [t]. The number of primary dimensions in the problem are (L and t). Step 3 Then the number of Π’s predicted by the Buckingham Pi theorem is A concise summary of the six steps that comprise the method of 23 repeating variables.
  • 24. Need to choose two repeating parameters since j=2. Therefore Step 4 Caution 1. Never choose dependent variable 2. Do not choose variables that can form dimensionless group 3. If there are three primary dimension available , must choose repeating variables which include all three primary dimensions. 4. Don’t pick dimensionless variables. For example, radian or degree. 5. Never pick two variables with same dimensions or dimensions that differ by only an exponent. For example, w0 and g. 6. Pick common variables such as length, velocity, mass or density. Don’t pick less common like viscosity or surface tension. 7. Always pick simple variables instead of complex variables such as energy or pressure. A concise summary of the six steps that comprise the method of 24 repeating variables.
  • 25. Step 5: Construct the k Π’s , and manipulate as necessary 25
  • 26. Need modification for commonly used nondimensional parameters. Step 6 26
  • 27. The pressure inside a soap bubble is greater than that surrounding the soap bubble due to surface tension in the soap film. 27
  • 28. If the method of repeating variables indicates zero Π’s, we have either made an error, or we need to reduce j by one and start over. 28
  • 29. 29
  • 30. 30
  • 31. 31
  • 32. 32
  • 33. 33
  • 34. 34
  • 35. 35
  • 36. 36
  • 37. Although the Darcy friction factor for pipe flows is most common, you should be aware of an alternative, less common friction factor called the Fanning friction factor. The relationship between the two is f = 4Cf . 37
  • 38. 38
  • 39. DIMENSIONLESS PARAMETER In dimensional analysis, a dimensionless quantity or quantity of dimension one is a quantity without an associated physical dimension. It is thus a "pure" number, and as such always has a dimension of 1. Other examples of dimensionless quantities: - Weber number (We), - Mach (M), - Darcy friction factor (Cf or f), - Drag coefficient (Cd) etc. 39
  • 40. RAYLEIGH METHOD Rayleigh's method of dimensional analysis is a conceptual tool used in physics, chemistry, and engineering. This form of dimensional analysis expresses a functional relationship of some variables in the form of an exponential equation. It was named after Lord Rayleigh. 40
  • 41. The method involves the following steps: •Gather all the independent variables that are likely to influence the dependent variable. •If X is a variable that depends upon independent variables X1, X2, X3, ..., Xn, then the functional equation can be written as X = F(X1, X2, X3, ..., Xn). •Write the above equation in the form where C is a dimensionless constant and a, b, c, ..., m are arbitrary exponents. •Express each of the quantities in the equation in some fundamental units in which the solution is required. •By using dimensional homogeneity, obtain a set of simultaneous equations involving the exponents a, b, c, ..., m. •Solve these equations to obtain the value of exponents a, b, c, ..., m. •Substitute the values of exponents in the main equation, and form the non-dimensional parameters by grouping the variables with like exponents. 41

Editor's Notes

  1. In fluid mechanics , the Reynolds number ( Re ) is a dimensionless number that gives a measure of the ratio of inertial forces to viscous forces and consequently quantifies the relative importance of these two types of forces for given flow conditions. The Froude number is a dimensionless number defined as the ratio of a characteristic velocity to a gravitational wave velocity. It may equivalently be defined as the ratio of a body's inertia to gravitational forces. In fluid mechanics, the Froude number is used to determine the resistance of a partially submerged object moving through water, and permits the comparison of objects of different sizes. Named after William Froude, the Froude number is based on the speed–length ratio as defined by him. In dimensional analysis, the Strouhal number is a dimensionless number describing oscillating flow mechanisms. The parameter is named after Vincenc Strouhal, a Czech physicist who experimented in 1878 with wires experiencing vortex shedding and singing in the wind. The Euler number is a dimensionless number used in fluid flow calculations. It expresses the relationship between a local pressure drop e.g. over a restriction and the kinetic energy per volume, and is used to characterize losses in the flow, where a perfect frictionless flow corresponds to an Euler number of 1.
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