80 Worked Examples: Dimensional Analysis

Many of these worked examples have been fielded as homework problems or exam questions.

Worked Example #1

In a particular fluid flow problem, the flow rate, Q, depends on a height, {h}, and acceleration under gravity, g. The relationship can be expressed as

    \[ Q = K \, h^{\alpha} \, g^{\beta} \]

where K is a constant with dimensions of length. By satisfying dimensional homogeneity, determine the values of {\alpha} and \beta.

In terms of the dimensions

    \[ \left[ Q\right] = L \left[ h^{\alpha} \right] \left[ g^{\beta} \right] \]

and so for each parameter, then

    \[ \left[ Q \right] = \rm L^3 T^{-1} \quad\quad \left[ K \right] = \rm L \quad\quad \left[ h \right] = \rm L \quad\quad \left[ g \right] = \rm L T^{-2} \]

Therefore,

    \[ \rm L^3 T^{-1} = \rm L^{1} \, \left( \rm L \right)^\alpha \, \left( \rm L T^{-2}\right)^\beta \]

To obtain dimensional homogeneity, then

    \begin{eqnarray*} \text{\small Exponents~of~L:} \quad 3 & = & 1 + \alpha + \beta \\ \text{\small Exponents~of~T:} \quad -1 & = & -2\beta \end{eqnarray*}

so \beta = 1/2 and \alpha = 3/2. Inserting the values gives the relationship as

    \[ Q = K \, h^{3/2} \, g^{1/2} = K \, \sqrt{g} \, h^{3/2} \]

Worked Example #2

A small jet airplane has a mean chord of 1.5 m and flies at a Mach number of 0.7 in conditions equivalent to those in the ISA. If the Reynolds number, based on mean chord length, is 8.75 \times 10^6, at what approximate pressure altitude, h_{\rm alt}, is it flying? Assume that the local speed of sound is determined from the ISA temperature, a_{\rm alt}=\sqrt{\gamma R T_{\rm alt}}, and that the kinematic viscosity is obtained from \nu_{\rm alt}=\mu_{\rm alt}/\varrho_{\rm alt}, where \mu_{\rm alt} is evaluated from Sutherland’s law and \varrho_{\rm alt} from the ISA pressure and temperature.

This problem provides minimal information, including only the Mach number, Reynolds number, and wing chord. The Mach number at altitude is

    \[ M_{\rm alt} = \dfrac{V_{\rm alt}}{a_{\rm alt}} = 0.7 \]

and the corresponding Reynolds number is

    \[ Re_{\rm alt} = \dfrac{\varrho_{\rm alt} \, V_{\rm alt} \, c}{\mu_{\rm alt}} = \dfrac{V_{\rm alt} \, c}{\nu_{\rm alt}} = 8.75 \times 10^6 \]

where \nu_{\rm alt} is the kinematic viscosity and c is the wing chord. Notice that the airspeed V_{\rm alt} appears in both parameters, which can be written as

    \[ V_{\rm alt} = a_{\rm alt} \, M_{\rm alt} \]

and therefore

    \[ Re_{\rm alt} = \dfrac{a_{\rm alt} \, M_{\rm alt} \, c}{\nu_{\rm alt}} \]

so the required ratio a_{\rm alt}/\nu_{\rm alt} is

    \[ \dfrac{a_{\rm alt}}{\nu_{\rm alt}} =\dfrac{Re_{\rm alt}}{M_{\rm alt} \, c} = \dfrac{8.75 \times 10^6}{0.7 \times 1.5} = 8.33 \times 10^6~\mbox{m}^{-1} \]

In the ISA, this ratio must be evaluated from the atmospheric properties at altitude. The temperature in the troposphere is

    \[ T_{\rm alt} = T_0 - B \, h_{\rm alt} \]

where T_0 = 288.15~\mbox{K} and B = 0.0065~\mbox{K m}^{-1}. The local speed of sound is

    \[ a_{\rm alt} = \sqrt{\gamma R T_{\rm alt}} \]

and the kinematic viscosity is

    \[ \nu_{\rm alt} = \frac{\mu_{\rm alt}}{\varrho_{\rm alt}} \]

where \mu_{\rm alt} is found from Sutherland’s law and \varrho_{\rm alt} is found from the ISA pressure and temperature at the same altitude. Therefore, the altitude is found by solving

    \[ \dfrac{a_{\rm alt}}{\nu_{\rm alt}} = 8.33 \times 10^6~\mbox{m}^{-1} \]

Using the ISA properties and Sutherland’s law gives, by iteration,

    \[ h_{\rm alt} \simeq 10{,}155~\mbox{m} \]

At this altitude,

    \[ T_{\rm alt} = 222.15~\mbox{K}, \quad a_{\rm alt} = 298.8~\mbox{m s}^{-1}, \quad \nu_{\rm alt} = 3.59 \times 10^{-5}~\mbox{m}^{2}\mbox{s}^{-1} \]

and therefore

    \[ \dfrac{a_{\rm alt}}{\nu_{\rm alt}} = \dfrac{298.8}{3.59 \times 10^{-5}} = 8.33 \times 10^6~\mbox{m}^{-1} \]

which satisfies the required Mach number and Reynolds number. Therefore, the airplane is flying at an approximate pressure altitude of

    \[ h_{\rm alt} \simeq 10.2~\mbox{km} \]

Worked Example #3

A student seeks to determine the drag on a full-scale race car with length L traveling at speed V. The student constructs a 1/f-scale model of the race car and measures its drag in a wind tunnel under dynamically similar conditions. The student claims that the drag force on the full-scale race car will be identical to that of the 1/f-scale model. Is this claim correct? Explain. Ignore compressibility effects.

In the wind tunnel, we want to match the Reynolds numbers between the actual car and the model to achieve flow similarity. The Reynolds number for the actual vehicle can be written as

    \[ { Re_1 = \frac{\varrho V_1 L_1}{\mu} } \]

and for the model

    \[ { Re_2 = \frac{\varrho V_2 L_2}{\mu} } \]

Therefore, we have that

    \[ \frac{Re_2}{Re_1} = 1 = \frac{V_2 L_2}{V_1 L_1} \]

if the flow conditions (e.g., temperature and pressure, hence its density and viscosity) are the same in the wind tunnel as those for the actual car. The ratio L_2/L_1 = 1/f, so

    \[ V_2 = f \, V_1 \]

The drag force on the actual car can be written as

    \[ D_1 = \frac{1}{2} \varrho V_1^2 A_1 C_D \]

where A_1 is a reference area on which the drag coefficient C_D is based, it is reasonable to assume that the drag coefficients of both the actual car and the model are the same, which is typical of bluff bodies like cars. The drag force on the model can be written as

    \[ D_2 = \frac{1}{2} \varrho V_2^2 A_2 C_D \]

where the ratio A_2/A_1 = 1/f^2, i.e., lengths scale linearly but areas scale by the square. Therefore, we can write

    \[ \frac{D_2}{D_1} = \left( \frac{V_2}{V_1} \right)^2 \ \frac{A_2}{A_1} = \left( \frac{f V_1}{V_1} \right)^2 \ \frac{1}{f^2} = 1 \]

So, the student is correct! This is an interesting and useful outcome that follows from the scaling relationships. The force on a body of a particular shape at a given Reynolds number is the same regardless of the combination of size and speed used to produce that given Reynolds number. Of course, the flow conditions (e.g., temperature and pressure, hence density and viscosity) must also be the same.

Worked Example #4

Consider the drag of a sphere problem using the Buckingham \Pi method, previously performed using the repeating variables {V_{\infty}}, \varrho_{\infty}, and {d}. Repeat the dimensional analysis process using {V_{\infty}}, \mu_{\infty}, and {d} as the repeating variables. Show all of your work. Comment on the results you obtained.

The relationship between D and the air properties may be written in a general functional form as

    \[ D = \phi \left( \varrho_{\infty}, \, V_{\infty}, \, \mu_{\infty}, \, d \right) \]

where D is the dependent variable. \varrho_{\infty}, {V_{\infty}}, \mu_{\infty}, and {d} are the independent variables. In implicit form, the drag can be written as

    \[ \psi \left( \varrho_{\infty}, \, V_{\infty}, \, \mu_{\infty}, \, d, \, D \right) = 0 \]

For each dependency, then

    \begin{eqnarray*} { \left[ D \right] } & =  & \rm M L T^{-2} \\ \left[ \varrho_{\infty} \right]  & = & \rm ML^{-3} \\ \left[ V_{\infty} \right] & = & \rm LT^{-1} \\ \left[ \mu_{\infty} \right] & = & \rm ML^{-1} \rm T^{-1} \\ \left[ d \right] & = & \rm L \end{eqnarray*}

Setting up the dimensional matrix gives

    \[ \begin{array}{l|r|r|r|r|r|r} \mbox{\small Base~unit} &   D  & \varrho_{\infty} & V_{\infty} & d &  \mu_{\infty} \\ \hline \mbox{\small Mass M:}  &   1  & 1 & 0 & 0 & 1 \\ \mbox{\small Length  L:}  &  1  & -3 & 1 & 1 & -1 \\ \mbox{\small Time T:}  &  -2 & 0 & -1 & 0 & -1 \end{array} \]

Choose \mu_{\infty}, V_{\infty} and {d} as repeating variables. These can be confirmed by finding the determinant of the dimensional submatrix that is formed by the repeating variables, which shows that

    \[ \det \begin{bmatrix} 1 & 0 & 0 \\ -1 & 1 & 1 \\ -1 & -1 & 0 \end{bmatrix} \ne 0 \]

Following the Buckingham \Pi method, then the \Pi products for this problem are determined from

    \begin{eqnarray*} \Pi_{1} & = & g_{1} \left( \mu_{\infty}, \, V_{\infty}, \, d, \, D \right)  \\ \Pi_{2} & = & g_{2} \left( \mu_{\infty}, \, V_{\infty}, \, d, \, \varrho_{\infty} \right) \end{eqnarray*}

For the first \Pi product

    \[ \Pi_{1} = (\mu_{\infty})^{\alpha} \,  (V_{\infty})^{\beta} \, (d)^{\gamma} \, D \]

The values of the coefficients {\alpha}, \beta, and {\gamma} must be obtained to make the equation dimensionally homogeneous. In terms of the dimensions of the parameters, then

    \[ \left[ \Pi_{1} \right] = 1 = \rm M^{0}L^{0}T^{0} = \left( \rm ML^{-1}T^{-1} \right)^{\alpha} \left( \rm LT^{-1} \right)^{\beta} \left( \rm L \right)^{\gamma} \left( \rm MLT^{-2} \right) \]

For \Pi_{1} to be dimensionless, then the powers or exponents of M, L, and T must add to zero, i.e.,

    \begin{eqnarray*} \text{\small Exponents~of~M:} \quad 0 & = & \alpha+1  \\ \text{\small Exponents~of~L:} \quad 0 & = & -\alpha+\beta+ \gamma+1  \\ \text{\small Exponents~of~T:} \quad 0 & = & -\alpha -\beta-2 \end{eqnarray*}

By inspection \alpha = -1, \beta = -1, and \gamma = -1. So, the first \Pi product is

    \[ \Pi_{1} = (\mu_{\infty})^{\alpha}\, (V_{\infty})^{\beta} \,  (d)^{\gamma} \, D = \mu_{\infty}^{-1} \, V_{\infty}^{-1} \, d^{-1} \, D \]

or

    \[ \Pi_{1} = \frac{D}{\mu_{\infty} \, V_{\infty} \, d} \]

which is still dimensionless, but it is a different grouping from what was obtained with \varrho_{\infty}, V_{\infty}, and {d} as the repeating variables.

This is an interesting outcome because this parameter is a form of Stokes’ Law, which Sir George Stokes determined in the 1840s. He found that the drag force D on a sphere of radius R moving through a fluid of viscosity \mu at a very low speed V is given by

    \[ D = 6 \pi R \mu V \]

Comments: This drag force is proportional to the sphere’s radius. This outcome is not obvious because, based on previous findings, one might expect drag to be proportional to the cross-sectional area, which varies as the square of the radius. The drag force is also directly proportional to the speed V, not to V^2. However, this behavior occurs only in the creeping-flow limit, where the Reynolds number is much less than unity. This outcome was obtained by emphasizing viscosity \mu over density \varrho in the repeating variables. When selecting the independent variables, a general rule is that they must have a significant effect on the dependent variable, in this case, drag. Thus, by emphasizing viscosity, a different dimensionless grouping is obtained.

Therefore, in this case, then

    \[ {\Pi_{1} = C_{D_{\rm Stokes}} = \frac{D}{3 \pi \, \mu_{\infty} \, V_{\infty} \, d} } \]

For the second \Pi product then

    \[ \Pi_{2} = (\mu_{\infty})^{\alpha} \, (V_{\infty})^{\beta} \, (d)^{\gamma} \, \varrho_{\infty} \]

so

    \[ \left[ \Pi_{2} \right] = 1 = \rm  M^{0} \rm L^{0} \rm T^{0} = \left(\rm M L^{-1} T^{-1} \right)^{\alpha} \left( \rm LT^{-1} \right)^{\beta} \left(\rm L \right)^\gamma \left( ML^{-3} \right) \]

and setting the sum of the powers to zero gives

    \begin{eqnarray*} \text{\small Exponents~of~M:} \quad 0 & = & \alpha+1  \\ \text{\small Exponents~of~L:} \quad 0 & = & -\alpha + \beta+ \gamma-3  \\ \text{\small Exponents~of~T:} \quad 0 & = & -\alpha -\beta \end{eqnarray*}

The solution is  \alpha = -1, \beta = 1, and \gamma = 1 and so

    \[ \Pi_{2} = (\mu_{\infty})^{\alpha} \, (V_{\infty})^{\beta} \, (d)^{\gamma} \, \varrho_{\infty} = \mu_{\infty}^{-1} \, V_{\infty}^{1} \, d^{1} \, \varrho_{\infty} \]

i.e.,

    \[ \Pi_{2} = \frac{\varrho_{\infty} \, V_{\infty} \, d}{\mu_{\infty}} \]

which will be recognized as the Reynolds number.

Therefore, as a result of the dimensional analysis of the sphere, then

    \[ \phi_1 \left( \frac {D}{3 \pi\mu \, V_{\infty} d}, \frac{\varrho_{\infty} \, V_{\infty} \, d}{\mu_{\infty}} \right) = 0 \]

or

    \[ \phi_1 \left( C_{D_{\rm Stokes}}, Re \right) = 0 \]

or in explicit form

    \[ C_{D_{\rm Stokes}} = \phi_2 \left( Re \right) \]

Worked Example #5

Based on experiments performed in a low-speed wind tunnel, it is determined that the power required at the shaft to drive a propeller forward is a function of the thrust the propeller produces, F, the size of the propeller as characterized by its diameter {d}, the rotational speed of the propeller in terms of revolutions per second n, and the air density \varrho_{\infty}, and the operating freestream velocity {V_{\infty}}. Identify the appropriate dimensionless groups that describe this problem.

The power required for the propeller (the dependent variable), P, can be written in a functional form as

    \[ P = \phi_1(F, \, d, \varrho_{\infty}, \, n, \, V_{\infty}) \]

where \phi_1 is the function to be determined. The power would be given by P = Q \, \Omega, where Q is the torque and \Omega is the angular velocity in radians per second.

The preceding equation can be written in an implicit form as

    \[ \phi_2(F, \, d, \, \varrho_{\infty}, \, n, \, V_{\infty}, \, P) = 0 \]

In this case, there are six variables (N = 6) and three fundamental dimensions (K = 3) comprising mass (M), length (L), and time (T). This means that N - K = 3, so three \Pi products must be determined.

The functional dependence can also be written in the form

    \[ \phi_3 (\Pi_1, \, \Pi_2, \, \Pi_3) = 0 \]

where \Pi_1, \Pi_2, and \Pi_3 are the dimensionless groupings to be determined.

Choose the variables \varrho_{\infty}, {d}, and n as the repeating variables, which are all linearly independent and can be confirmed using the dimensional matrix (below). The dimensionless \Pi products can each be written in terms of these repeating variables plus one other variable, that is

    \begin{eqnarray*} \Pi_1 & = & \varrho_{\infty}^\alpha \, d^\beta \, n^\gamma\, F \\ \Pi_2 & = & \varrho_{\infty}^\alpha \, d^\beta \, n^\gamma \, P \\ \Pi_3 & = & \varrho_{\infty}^\alpha \, d^\beta \, n^\gamma \, V_{\infty} \end{eqnarray*}

where in each case, the powers {\alpha}, \beta, and {\gamma} are to be determined so that each of the \Pi products must be dimensionless.

The base dimensions of each variable can now be specified. For this problem, then

    \begin{eqnarray*} \left[ \varrho_{\infty} \right] & = & \rm M L^{-3} \\ \left[ d \right] & = & \rm L \\ \left[ V_{\infty} \right] & = & \rm L T^{-1} \\ \left[ n \right] & = &\rm T^{-1} \\ \left[ F \right] & = & \rm M L T^{-2} \\ \left[ P \right] & = & (\rm M L T^{-2}) (\rm L T^{-1}) = \rm M L^2 T^{-3} \end{eqnarray*}

and so the dimensional matrix is

    \[ \begin{array}{l|r|r|r|r|r|r} \mbox{\small Base~unit} & \varrho_{\infty} & d & V_{\infty} & n & F & P \\ \hline \text{\small Mass M:} & 1 & 0 & 0 & 0 & 1 & 1 \\ \text{\small Length L:} & -3 & 1 & 1 & 0 & 1 & 2 \\ \text{\small Time T:} & 0 & 0 & -1 & -1 & -2 & -3 \end{array} \]

Finding the determinant of the dimensional submatrix that is formed by the repeating variables shows that

    \[ \det \begin{bmatrix} 1 & 0 & 0 \\ -3 & 1 & 0 \\ 0 & 0 & 1 \end{bmatrix} \ne 0 \]

So the selected repeating variables are linearly independent.

Considering the first \Pi product then

    \[ \Pi_1 = \varrho_{\infty}^\alpha \, d^\beta \, n^\gamma \, F \]

where {\alpha}, \beta, and {\gamma} are to be determined. The dimensions of the \Pi product are dimensionless, i.e.,

    \[ \left[ \Pi_1 \right] = \rm M^0 L^0 T^0 = 1 \]

In terms of the base dimensions of the parameters, then

    \[ (\rm M L^{-3})^\alpha \, (\rm L)^\beta \, (\rm T^{-1})^\gamma \, \rm (M L T^{-2}) = \rm M^0 L^0 T^0 \]

Making the equation dimensionally homogeneous by equating the exponents for each of the dimensions, in turn, gives

    \begin{eqnarray*} \text{\small Exponents~of~M:} \quad & 0 = & \alpha + 1 \\ \text{\small Exponents~of~L:} \quad & 0 = & -3\alpha + \beta +1 \\ \text{\small Exponents~of~T:} \quad & 0 = & -\gamma -2 \end{eqnarray*}

These simultaneous equations have the solution that \alpha = -1, \beta = -4 and \gamma = -2. Therefore, the first \Pi product can be written as

    \[ \Pi_1 = \varrho_{\infty}^{-1} \, d^{-4} \, n^{-2} \, F = \frac{F}{\varrho_{\infty} \, n^2 \, d^4} = C_T \]

which is a form of thrust coefficient, i.e., a dimensionless measure of thrust.

Considering now the second \Pi product then

    \[ \Pi_2 = \varrho_{\infty}^\alpha \, d^\beta \, n^\gamma \, P \]

where new values for {\alpha}, \beta, and {\gamma} are to be determined. In terms of dimensions

    \[ \left[ \Pi_2 \right] = (\rm M L^{-3})^\alpha \, (\rm L)^\beta \, (\rm T^{-1})^\gamma \, (\rm M L^2 T^{-3} ) = \rm M^0 L^0 T^0 = 1 \]

Making this latter equation dimensionally homogeneous gives

    \begin{eqnarray*} \text{\small Exponents~of~M:} \quad & 0 = & \alpha + 1 \\ \text{\small Exponents~of~L:} \quad & 0 = & -3\alpha + \beta + 2 \\ \text{\small Exponents~of~T:} \quad & 0 = & -\gamma -3 \end{eqnarray*}

These equations have the solution that \alpha =-1, \beta = -5 and \gamma = -3. Therefore, the second \Pi product is

    \[ \Pi_2 = \varrho_{\infty}^{-1} \, d^{-5} \, n^{-3} \, P = \frac{P}{\varrho_{\infty} \, n^3 \, d^5} = C_P \]

which is a form of power coefficient, i.e., a dimensionless measure of power.

Finally, for the third \Pi product, then

    \[ \Pi_3 = \varrho_{\infty}^\alpha \, d^\beta \, n^\gamma \, V_{\infty} \]

and in terms of dimensions, then

    \[ \left[ \Pi_3 \right] = (\rm M L^{-3})^\alpha (L)^\beta (\rm T^{-1})^\gamma (\rm L T^{-1} ) = \rm M^0 L^0 T^0 = 1 \]

Making this final equation dimensionally homogeneous gives

    \begin{eqnarray*} \text{\small Exponents~of~M:} \quad & 0 = & \alpha \\ \text{\small Exponents~of~L:} \quad & 0 = & -3\alpha + \beta + 1 \\ \text{\small Exponents~of~T:} \quad & 0 = & -\gamma -1 \end{eqnarray*}

These latter equations have the solution that \alpha = 0, \beta = -1 and \gamma = -1. Therefore, the third \Pi product is

    \[ \Pi_3 = \varrho_{\infty}^{0} \, d^{-1} \, n^{-1} \, V_{\infty} = \frac{V_{\infty}}{n \, d} = J \]

which is a dimensionless airspeed known as the advance ratio.

Therefore, for this propeller problem, then

    \[ \phi \left( \frac{F}{\varrho_{\infty} \, n^2 \, d^4}, \frac{P}{\varrho_{\infty} \, n^3\, d^5} , \frac{V_{\infty}}{n \, d} \right) = 0 \]

or

    \[ \frac{P}{\varrho_{\infty} n^3 \, d^5} = \phi_0 \left( \frac{F}{\varrho_{\infty} \, n^2 \, d^4}, \frac{V_{\infty}}{n \, d} \right) \]

or finally as

    \[ C_P = \phi_0 \left( C_T, \, J \right) \]

This outcome enables us to evaluate the propeller’s performance in terms of the power coefficient as a function of the thrust coefficient and the advance ratio.

Worked Example #6

Consider the internal turbulent flow through a rough pipe. The objective is to determine the dimensionless groupings that will describe this problem. The dependencies include the average flow velocity V_{\rm av}, the diameter of the pipe, {d}, the density of the fluid flowing through the pipe \varrho, the viscosity of the fluid, \mu, the roughness height of the pipe \epsilon, and the pressure drop along the length of the pipe, dp/dx.

Proceeding using the Buckingham \Pi method, then in the general functional form

    \[ { \phi (V_{\rm av}, \, d, \, \varrho, \, \mu, \, \epsilon, \, dp/dx ) = 0 } \]

In this case, there are six variables (N = 6) and three fundamental dimensions (K = 3) comprising mass (M), length (L), and time (T). According to the Buckingham \Pi Method, then N - K = 3, so there are three \Pi products.

The dimensional matrix is

    \[ \begin{array}{l|r|r|r|r|r|c} \mbox{\small Base~unit} & V_{\rm av} & d & \varrho &\mu & \epsilon & dp/dx \\ \hline \text{\small Mass M:} & 0 & 0 & 1 & 1 & 0 & 1 \\ \text{\small Length L:} & 1 & 1 & -3 & -1 & 1 & -2 \\ \text{\small Time T:} & -1 & 0 & 0 & -1 & 0 & -2 \end{array} \]

Choose \varrho, V_{\rm av}, and {d} as the repeating variables, a common choice for fluid problems, which contain all of the base dimensions. Finding the determinant of the dimensional submatrix that is formed by the repeating variables shows that

    \[ \det \begin{bmatrix} 1 & 0 & 0 \\ -3 & 1 & 1 \\ 0 & -1 & 0 \end{bmatrix} \ne 0 \]

so the selected repeating variables are linearly independent.

Considering the first \Pi product then

    \[ \Pi_1 = \varrho^\alpha \, V_{\rm av}^\beta \, d^\gamma \, \mu \]

and in terms of dimensions, then

    \[ \left[ \Pi_1 \right] = (\rm ML^{-3})^\alpha (\rm LT^{-1})^\beta (\rm L)^\gamma \rm \, M L^{-1} T^{-1} = M^0 L^0 T^0 = 1 \]

Making the equation dimensionally homogeneous by equating the exponents for each of the dimensions, in turn, gives

    \begin{eqnarray*} { \text{\small Exponents~of~M:} } \quad & 0 = & \alpha + 1 \\ \text{\small Exponents~of~L:} \quad & 0 = & -3\alpha +\beta + \gamma -1 \\ \text{\small Exponents~of~T:} \quad & 0 = & -\beta -1 \end{eqnarray*}

These simultaneous equations have the solution that \alpha = -1, \beta = -1 and \gamma = -1. Therefore, the first \Pi product can be written as

    \[ \Pi_1 = \varrho^{-1} \, V_{\rm av}^{-1} \, d^{-1} \mu = \frac{\mu}{\varrho \, V_{\rm av} \, d} \]

which is the reciprocal of the Reynolds number, but as discussed before, this grouping can also be inverted to get the first \Pi product as the recognizable Reynolds number, i.e.,

    \[ \Pi_1 = \frac{\varrho \, V_{\rm av} \, d}{\mu} = Re \]

For the second \Pi product then

    \[ \Pi_2 = \varrho^\alpha \, V_{\rm av}^\beta \, d^\gamma \, \epsilon \]

and in terms of dimensions, then

    \[ \left[ \Pi_2 \right] = (\rm ML^{-3})^\alpha \, \rm (LT^{-1})^\beta \, (\rm L)^\gamma \, L =\rm M^0 L^0 T^0 = 1 \]

and the exponents {\alpha}, \beta and {\gamma} can be reused for convenience. Making the equation dimensionally homogeneous by equating the exponents for each of the dimensions, in turn, gives

    \begin{eqnarray*} \text{\small Exponents~of~M:} \quad & 0 = & \alpha \\ \text{\small Exponents~of~L:} \quad & 0 = & -3\alpha +\beta +\gamma +1 \\ \text{\small Exponents~of~T:} \quad & 0 = & -\beta \end{eqnarray*}

These simultaneous equations have the solution that \alpha = 0, \beta = 0 and \gamma = -1. Therefore, the second \Pi product can be written as

    \[ \Pi_2 = d^{-1} \, \epsilon = \frac{\epsilon}{d} \]

which is a measure of the relative surface roughness.

Finally, for the third \Pi product, then

    \[ \Pi_3 = \varrho^\alpha \, V_{\rm av}^\beta \, d^{\gamma} \, dp/dx \]

and in terms of dimensions, then

    \[ \left[ \Pi_3 \right] = (\rm ML^{-3})^\alpha \, (\rm LT^{-1})^\beta \, (L)^\gamma \rm ML^{-2}T^{-2} = \rm M^0 L^0 T^0 = 1 \]

Making the equation dimensionally homogeneous by equating the exponents for each of the dimensions, in turn, gives

    \begin{eqnarray*} \text{\small Exponents~of~M:} \quad & 0 = & \alpha + 1\\ \text{\small Exponents~of~L:} \quad & 0 = & -3\alpha +\beta + \gamma - 2 \\ \text{\small Exponents~of~T:} \quad & 0 = & -\beta -2 \end{eqnarray*}

These simultaneous equations have the solution that \alpha = -1, \beta = -2 and \gamma = 1. Therefore, the third \Pi product can be written as

    \[ \Pi_3 = \varrho^{-1} \, V_{\rm av}^{-2} \, d \, (dp/dx) = \frac{d \, (dp/dx)}{\varrho \, V_{\rm av}^2} \]

which is a dimensionless pressure drop or “head” drop. Usually, this latter grouping is expressed in terms of a friction factor, i.e.,

    \[ f = \frac{d \, (\Delta p/L)}{\frac{1}{2} \varrho \, V_{\rm av}^2} \]

Therefore, the final result is

    \[ f = \phi_1 \left( Re, \, \frac{\epsilon}{d} \right) \]

This result shows that the frictional pressure drop along the pipe will be a function of the Reynolds number and the pipe’s effective dimensionless roughness.

Worked Example #7

The drag on the hull of a ship, D, can be written in a general functional form as

    \[ D = f \left( \varrho, \, V, \,  l, \, g \right) \]

where \varrho is the density of the water, V is the ship’s speed through the water, and {l} is a length scale associated with the hull.

Use the Buckingham \Pi method to show that

    \[ C_D = \psi (Fr) \]

where C_D is a drag coefficient and the dimensionless grouping Fr= V /\sqrt{g \, l} is known as the Froude number.

For this problem, the drag D can be written as

    \[ D = \phi \left( \varrho, \, V, \, l, \, g \right) \]

In implicit form, then

    \[ { \phi_1 \left( \varrho, \, V, \, l, \, g,  \, D \right) = 0 } \]

So, N = 5 and K =  3, so there will be two \Pi products.

Setting up the dimensional matrix gives

    \[ \begin{array}{l|r|r|r|r|r} \mbox{\small Base~unit} &   \varrho  & V &  l & g & D \\ \hline \text{\small Mass M:}  \quad &    1 & 0 & 0 & 0 & 1 \\ \text{\small Length L:}  \quad &    -3 & 1 & 1 & 1 & 1 \\ \text{\small Time T:} \quad  &  0 & -1 & 0 & -2 & -2 \end{array} \]

Now, the repeating variable must be chosen, for which the standard choice is {l}, V, and \varrho, which will all primarily influence drag. They also collectively encompass the fundamental dimensions of mass, length, and time. Finding the determinant of the dimensional submatrix that is formed by the repeating variables shows that

    \[ { \det \begin{bmatrix} 0 & 0 & 1 \\ 1 & 1 & -3 \\ 0 & -1 &  0 \end{bmatrix} \ne 0 } \]

so the selected repeating variables are linearly independent.

For the first \Pi product, then

    \[ \Pi_{1} = \phi_2 \left(l, \, V, \, \varrho, \, g \right) \]

and for the second \Pi product then

    \[ \Pi_{2} = \phi_3 \left(l, \, V, \, \varrho, \,  D \right) \]

Continuing with the first \Pi product then

    \[ \Pi_{1} = (l)^{\alpha} \, (V)^{\beta}\, (\varrho)^{\gamma} \, g \]

and in terms of the dimensions, then

    \[ \left[ \Pi_{1} \right] = \rm M^{0}L^{0}T^{0} = (\rm L)^{\alpha} (\rm L T^{-1} )^{\beta} (\rm M L^{-3} )^{\gamma} \rm L T^{-2} \]

For \Pi_{1} to be dimensionless, then

    \begin{eqnarray*} \text{\small Exponents~of~M:} \quad 0 & = & \gamma \\ \text{\small Exponents~of~L:} \quad 0 & = &   \alpha + \beta - 3\gamma + 1 \\ \text{\small Exponents~of~T:} \quad 0 & = & -\beta -2 \end{eqnarray*}

Therefore, \beta = -2, {\gamma} = 0, and \alpha = 1, so the \Pi_1 product is

    \[ \Pi_1 = (l)^{1}\, (V)^{-2} \, (\varrho)^{0} \, g \]

or

    \[ \Pi_1 = \frac{l g}{V^2} \quad \mbox{or} \quad \frac{V^2}{l g} \quad \mbox{or} \quad \frac{V}{\sqrt{l \, g}} \]

which is the Froude number, Fr.

For the second \Pi product then

    \[ \Pi_{2} = (l)^{\alpha}\, (V)^{\beta} \, (\varrho)^{\gamma} \, D \]

and in terms of the dimensions, then

    \[ \left[ \Pi_{2} \right] = \rm  M^{0}L^{0}T^{0} = (\rm L)^{\alpha} (\rm L T^{-1} )^{\beta} (\rm M L^{-3} )^{\gamma} \rm M L T^{-2} \]

For \Pi_{2} to be dimensionless, then

    \begin{eqnarray*} \text{\small Exponents~of~M:} \quad 0 & = & \gamma + 1 \\ \text{\small Exponents~of~L:} \quad 0 & = &   \alpha + \beta - 3\gamma + 1 \\ \text{\small Exponents~of~T:} \quad 0 & = & -\beta -2 \end{eqnarray*}

Therefore, \beta = -2, {\gamma} = -1, and \alpha = -2, so the \Pi product is

    \[ \Pi_2 = (l)^{-2}\, (V)^{-2}\, (\varrho)^{-1} \, D \]

or

    \[ \Pi_2 = \frac{D}{\varrho l^2 \, V^2} \]

which is a drag coefficient, C_D.

Therefore, the final result is

    \[ C_D = \psi (Fr) \]

i.e., the drag coefficient on the hull is some function of the Froude number.

Worked Example #8

A tiny spherical particle of diameter D falls freely vertically at velocity V in the atmosphere. The aerodynamic drag on the particle {\cal {D}} can be written in general functional form as

    \[ {\cal{D}} = f( D, \, V, \, \mu ) \]

where {\scriptstyle{f}} is the function to be determined and \mu is the coefficient of viscosity. Using the Buckingham \Pi method, find the dimensionless similarity parameter that governs this freely falling behavior.Illustration of a tiny spherical particle falling freely in the vertical direction.

The information given is that

    \[ { {\cal{D}} = f( D, \, V, \, \mu ) } \]

So, in implicit form, then

    \[ \phi_1 (D, \, V, \mu, \, {\cal{D}} ) = 0 \]

Therefore, N = 4 and K = 3 by inspection because mass, length, and time are all involved in this problem, so there is just one \Pi product. Setting down the dimensional matrix gives

    \[ \begin{array}{l|r|r|r|r} \mbox{\small Base~unit} & D & V & \mu & {\cal{D}} \\ \hline \text{\small Mass M:} \quad & 0 & 0 & 1 & 1 \\ \text{\small Length L:} \quad & 1 & 1 & -1 & 1 \\ \text{\small Time T:} \quad & 0 & -1 & -1 & -2 \end{array} \]

For the \Pi product, then

    \[ \Pi = (D)^{\alpha} \, (V)^{\beta} \, (\mu)^{\gamma} \, {\cal{D}} \]

and in terms of dimensions, then

    \[ \left[ \Pi \right] = \rm M^{0}L^{0}T^{0} = (\rm L)^{\alpha} (\rm L T^{-1})^{\beta} (M L^{-1} \rm T^{-1})^{\gamma} \rm M L T^{-2} \]

For \Pi to be dimensionless, then

    \begin{eqnarray*} \text{\small Exponents~of~M:} \quad 0 & = & \gamma + 1 \\ \text{\small Exponents~of~L:} \quad 0 & = & \alpha + \beta - \gamma + 1 \\ \text{\small Exponents~of~T:} \quad 0 & = & -\beta - \gamma - 2 \end{eqnarray*}

and so {\gamma} = -1, \beta = -1, and {\alpha} = -1.

Therefore, the \Pi product is

    \[ \Pi = (D)^{-1} \, (V)^{-1} \, (\mu)^{-1} \, {\cal{D}} = \frac{{\cal{D}}}{D \, V \mu} \]

which is a viscous drag coefficient. For a sphere in creeping flow, this grouping is proportional to a constant because Stokes’ law gives

    \[ {\cal{D}} = 3 \pi \mu V D \]

so

    \[ \frac{{\cal{D}}}{D \, V \mu} = 3 \pi \]

This result applies in the Stokes-flow limit, which corresponds to very low Reynolds numbers, usually Re \ll 1.

Worked Example #9

A flow experiment with a circular cylinder shows that at a specific condition, a vortex shedding phenomenon at frequency {\scriptstyle{f}} appears in the wake downstream of the cylinder.

Use dimensional analysis to show that the dimensionless parameter that governs this process, known as a Strouhal number St, is given by

    \[ St = \frac{ f \, d}{V} \]

where V is the flow speed and {d} is the diameter of the cylinder.

The frequency of shedding {\scriptstyle{f}} is assumed to be a function of the diameter of the cylinder {d} and flow velocity V. Working with this information, then

    \[ f = \phi \left( d, \, V \right) \]

or in the implicit form, then

    \[ \phi_1 \left( d, \, V , \, f \right) = 0 \]

Therefore, N = 3, but in this case, K = 2 because only length and time are involved in this group of variables, so there is just one \Pi product to determine.

Setting up the dimensional matrix, i.e.,

    \[ \begin{array}{l|r|r|r|} \mbox{\small Base~unit} & d & V & f \\ \hline \text{\small Length L:} \quad & 1 & 1 & 0 \\ \text{\small Time T:} \quad & 0 & -1 & -1 \end{array} \]

So, the first grouping is

    \[ \Pi_{1} = (d)^{\alpha} \, (V)^{\beta} \, f \]

and in terms of the dimensions, then

    \[ \left[ \Pi_{1} \right] = \rm M^{0}L^{0}T^{0} = (\rm L)^{\alpha} (\rm L T^{-1} )^{\beta} \rm T^{-1} \]

For \Pi_{1} to be dimensionless, then

    \begin{eqnarray*} L: 0 & = & \alpha + \beta \\ T: 0 & = & -\beta -1 \end{eqnarray*}

Therefore, \beta = -1 and \alpha = 1, so the \Pi_1 product is

    \[ \Pi_1 = (d)^{1}(V)^{-1} f = \frac{f \, d}{V} \]

which is the Strouhal number St, as called for in the question.

A result could also have been obtained by recognizing that shedding frequency may depend on the flow density \varrho and the viscosity \mu. In this case, there is a strong expectation that the Reynolds number may be involved. In this case, then

    \[ f = \phi \left( d, \, V , \, \varrho, \, \mu \right) \]

or in the implicit form, then

    \[ \phi_1 \left( d, \, V, \, \varrho, \, \mu, \, f \right) = 0 \]

In this case, N = 5 and K = 3 because mass is now involved, so there are two \Pi products to determine. Of course, there is an expectation that one of these has already been determined.

Setting up the dimensional matrix gives

    \[ \begin{array}{l|r|r|r|r|r} \mbox{\small Base~unit} & d & V & \varrho & \mu & f \\ \hline \text{\small Mass M:} \quad & 0 & 0 & 1 & 1 & 0 \\ \text{\small Length L:} \quad & 1 & 1 & -3 & -1 & 0 \\ \text{\small Time T:} \quad & 0 & -1 & 0 & -1 & -1 \end{array} \]

Proceeding as usual with the selection of the repeating variables, again, the standard choice is {d}, V, and \varrho, then

    \[ \Pi_{1} = \phi_2 \left(d, \, V, \, \varrho, \, f \right) \]

and

    \[ \Pi_{2} = \phi_3 \left(d, \, V, \, \varrho, \, \mu \right) \]

For the first \Pi product then

    \[ \Pi_{1} = (d)^{\alpha} \, (V)^{\beta} \, (\varrho)^{\gamma} \, f \]

and terms of the dimensions, then

    \[ \left[ \Pi_{1} \right] = \rm M^{0}L^{0}T^{0} = (\rm L)^{\alpha} (\rm L T^{-1} )^{\beta} (\rm M L^{-3} )^{\gamma} \rm T^{-1} \]

For \Pi_{1} to be dimensionless, then

    \begin{eqnarray*} \text{\small Exponents~of~M:} \quad 0 & = & \gamma \\ \text{\small Exponents~of~L:} \quad 0 & = & \alpha + \beta - 3\gamma \\ \text{\small Exponents~of~T:} \quad 0 & = & -\beta -1 \end{eqnarray*}

Therefore, \beta = -1, {\gamma} = 0, and \alpha = 1, so the \Pi_1 product is

    \[ \Pi_1 = (d)^{1}(V)^{-1} f = \frac{f d}{V} \]

which is the Strouhal number St, as derived previously.

For the second \Pi product, which is suspected to be a Reynolds number, then

    \[ \Pi_{2} = (d)^{\alpha} \, (V)^{\beta} \, (\varrho)^{\gamma} \, \mu \]

and terms of the dimensions, then

    \[ \left[ \Pi_{2} \right] = \rm M^{0}L^{0}T^{0} = (\rm L)^{\alpha} (\rm L T^{-1} )^{\beta} (\rm M L^{-3} )^{\gamma} \rm M L^{-1} T^{-1} \]

For \Pi_{2} to be dimensionless, then

    \begin{eqnarray*} { \text{\small Exponents~of~M:} }\quad 0 & = & \gamma + 1 \\ \text{\small Exponents~of~L:} \quad 0 & = & \alpha + \beta - 3\gamma -1 \\ \text{\small Exponents~of~T:} \quad 0 & = & -\beta -1 \end{eqnarray*}

Therefore, \beta = -1, {\gamma} = -1, and \alpha = -1, so the \Pi_2 product is

    \[ \Pi_2 = (d)^{-1} \, (V)^{-1} \, (\varrho)^{-1}\, \mu = \frac{\mu }{\varrho \, V \, d} \quad \mbox{or} \quad \frac{\varrho \, V \, d}{\mu } \]

which is the Reynolds number Re.

Therefore, the frequency of shedding is expected to be a function of Reynolds number, i.e.,

    \[ St = \phi_4 ( Re ) \]

Worked Example #10

Define the Reynolds number and explain its meaning. Show that the Reynolds number represents a ratio of the relative magnitude of inertial effects to viscous effects in the flow. Hint: Multiply both the numerator and denominator of the equation for the Reynolds number by a velocity and a length scale.

The Reynolds number is a dimensionless grouping formed in terms of fluid density, \varrho, a reference velocity, V, a characteristic length scale, L, and viscosity, \mu, i.e.,

    \[ Re = \frac{\varrho \, V \,  L}{\mu} \]

The Reynolds number represents “the ratio of the relative effects of inertial effects to viscous effects,” which can be seen by writing

    \[ Re = \frac{\varrho_{\infty} \, V_{\infty} \, c}{\mu_{\infty}} = \frac{\varrho_{\infty} \, V_{\infty} \, c (V_{\infty} \, c)}{\mu_{\infty} \, (V_{\infty} c)} = \frac{\varrho_{\infty} \, V_{\infty}^2 \,  c^2}{\mu_{\infty} (V_{\infty}/c) c^2} \equiv \frac{\mbox{\small Inertial force}}{\mbox{\small Viscous force}} \]

On the numerator, \varrho_{\infty} V_{\infty}^2 c^2 has units of force, representing an inertial force, i.e.,

    \[ \left[ \varrho_{\infty} \,  V_{\infty}^2 \, c^2 \right] = \rm M L^{-3} L^2 T^{-2} L^2 = \rm M L T^{-2} \]

The coefficient of viscosity, \mu, is the shear force per unit area per unit velocity gradient, i.e., Newton’s law of viscosity, so the denominator is also a force, but a viscous force. Hence,  the significance of the Reynolds number becomes apparent as a relative measure of inertial effects to viscous effects in a fluid flow.

Worked Example #11

The distance traveled by a dimpled golf ball depends on its aerodynamic drag, \cal{D}, which in turn on its flight speed V, the density of the air \varrho, the viscosity of the air \mu, the diameter of the ball D, and the diameter of the dimples on the ball {d}, i.e., \cal{D} = \phi (V, \varrho, \mu, D, {d}), where \phi is some functional dependency. Use dimensional analysis (Buckingham \Pi method) to determine the dimensionless groupings that govern this problem.

The drag of the golf ball (the dependent variable) \cal{D} can be written in a functional form as

    \[ { {\cal{D}} = \phi (V, \, \varrho, \, \mu, \, D, \, d) } \]

where \phi is a function to be determined. This equation can be written in an implicit form as

    \[ \phi_1(V, \varrho, \, \mu, \, D, \, d, \, {\cal{D}}) = 0 \]

In this case, there are six variables (N = 6) and three fundamental dimensions (K = 3), so there are three \Pi products.

The functional dependence can also be written in the form

    \[ \phi_2 (\Pi_1, \, \Pi_2, \, \Pi_3) = 0 \]

where \Pi_1, \Pi_2, and \Pi_3 are the dimensionless groupings to be determined.

Choose the standard aerodynamic repeating variables \varrho, V, and D, which are all linearly independent. This result can be confirmed by finding the determinant of the dimensional submatrix that is formed by the repeating variables, which shows that

    \[ \det \begin{bmatrix} 1 & 0 & 0 \\ -3 & 1 & 1 \\ 0 & -1 & 0 \end{bmatrix} \ne 0 \]

so the selected repeating variables are linearly independent.

The dimensionless \Pi products can each be written in terms of these repeating variables plus one other variable, that is

    \begin{eqnarray*} \Pi_1 & = & \varrho^\alpha \, V^\beta \, D^\gamma\, \cal{D} \\ \Pi_2 & = & \varrho^\alpha \, V^\beta \, D^\gamma \, d \\ \Pi_3 & = & \varrho^\alpha V^\beta \, D^\gamma \, \mu \end{eqnarray*}

where in each case the values of the exponents {\alpha}, \beta, and {\gamma} are to be determined so that each of the \Pi products is dimensionless.

For this problem, then

    \begin{eqnarray*} \left[ V \right] & = & \rm L T^{-1} \\ \left[ \varrho \right] & = & \rm M L^{-3} \\ \left[ \mu \right] & = & \rm M L^{-1} T^{-1} \\ \left[ D \right] & = & \rm L \\ \left[ d \right] & = & \rm L \\ \left[ \cal{D} \right] & = & \rm M L T^{-2} \end{eqnarray*}

and so the dimensional matrix is

    \[ \begin{array}{l|r|r|r|r|r|r} \mbox{\small Base~unit} & V & \varrho & \mu & D & d & {\cal{D}} \\ \hline \text{\small Mass M:} & 0 & 1 & 1 & 0 & 0 & 1 \\ \text{\small Length L:} & 1 & -3 & -1 & 1 & 1 & 1 \\ \text{\small Time T:} & -1 & 0 & -1 & 0 & 0 & -2 \end{array} \]

Considering the first \Pi product then

    \[ \Pi_1 = \varrho^\alpha \, V^\beta \, D^\gamma \, {\cal{D}} \]

and in terms of dimensions, then

    \[ \left[ \Pi_1 \right] = (\rm M L^{-3})^\alpha (\rm L T^{-1})^\beta (\rm L)^\gamma (\rm M L T^{-2}) = \rm M^0 L^0 T^0 \]

Making the equation dimensionally homogeneous by equating the exponents for each of the dimensions, in turn, gives

    \begin{eqnarray*} \text{\small Exponents~of~M:} \quad & 0 = & \alpha + 1 \\ \text{\small Exponents~of~L:} \quad & 0 = & -3\alpha + \beta + \gamma + 1 \\ \text{\small Exponents~of~T:} \quad & 0 = & -\beta - 2 \end{eqnarray*}

These simultaneous equations have the solution that \alpha = -1, \beta = -2 and \gamma = -2. Therefore, the first \Pi product can be written as

    \[ \Pi_1 = \varrho^{-1} \, V^{-2} \, D^{-2} \, {\cal{D}} = \frac{ {\cal{D}} }{\varrho \, V^{2} \, D^{2}} \]

which is a force coefficient.

Considering the second \Pi product then

    \[ \Pi_2 = \varrho^\alpha \, V^\beta \, D^\gamma \, d \]

and in terms of dimensions, then

    \[ \left[ \Pi_2 \right] = (\rm M L^{-3})^\alpha (\rm L T^{-1})^\beta (L)^\gamma (\rm L) = \rm M^0 L^0 T^0 \]

Making the equation dimensionally homogeneous by equating the exponents for each of the dimensions, in turn, gives

    \begin{eqnarray*} \text{\small Exponents~of~M:} \quad & 0 = & \alpha \\ \text{\small Exponents~of~L:} \quad & 0 = & -3\alpha + \beta + \gamma + 1 \\ \text{\small Exponents~of~T:} \quad & 0 = & -\beta \end{eqnarray*}

These simultaneous equations have the solution that \alpha = 0, \beta = 0, and \gamma = -1. Therefore, the second \Pi product can be written as

    \[ \Pi_2 = \varrho^{0} \, V^{0} \, D^{-1} \, d = \frac{d}{D} \]

which is a dimensionless length scale, i.e., the ratio of the diameter of the dimples to the diameter of the golf ball.

Considering the third \Pi product then

    \[ \Pi_3 = \varrho^\alpha \, V^\beta \, D^\gamma \, \mu \]

and in terms of dimensions, then

    \[ \left[ \Pi_3 \right] = (\rm M L^{-3})^\alpha (\rm L T^{-1})^\beta (\rm L)^\gamma (\rm M L^{-1} T^{-1} ) = \rm M^0 L^0 T^0 \]

Making the equation dimensionally homogeneous by equating the exponents for each of the dimensions, in turn, gives

    \begin{eqnarray*} \text{\small Exponents~of~M:} \quad & 0 = & \alpha + 1 \\ \text{\small Exponents~of~L:} \quad & 0 = & -3\alpha + \beta + \gamma - 1 \\ \text{\small Exponents~of~T:} \quad & 0 = & -\beta - 1 \end{eqnarray*}

These simultaneous equations have the solution that \alpha = -1, \beta = -1 and \gamma = -1. Therefore, the third \Pi product can be written as

    \[ \Pi_3 = \varrho^{-1} \, V^{-1} \, D^{-1} \, \mu = \frac{\mu }{\varrho \, V \, D} \]

or inverting the grouping, which is still dimensionless,

    \[ \Pi_3 = \frac{\varrho V \, D}{\mu} \]

which is a Reynolds number.

Finally, then

    \[ \phi_2 (\Pi_1, \Pi_2, \Pi_3) = \phi_2 \left( \frac{ {\cal{D}} }{\varrho V^{2} D^{2}}, \, \frac{d}{D}, \, \frac{\varrho V D}{\mu} \right) = 0 \]

or just

    \[ \frac{ {\cal{D}} }{\varrho \, V^{2} \, D^{2}} = \phi_3 \left( \frac{d}{D}, \, \frac{\varrho V D}{\mu} \right) \]

Worked Example #12

The sound intensity I from a jet engine is found to be a function of the sound pressure p and the fluid properties density, \varrho, and speed of sound, a, as well as the distance from the engine to an observer location, r. Using the Buckingham \Pi method, find a relationship for I as a function of the other parameters. Show all of your work. Hint: Sound intensity, I, is defined as the acoustic power per unit area emanating from a sound source.

The relationship between I and the properties listed may be written in a general functional form as

    \[ I = f \left( p, \, \varrho, \, a, \, r \right) \]

or

    \[ g \left( I, \, p, \varrho, \, a, \, r \right) = 0 \]

A hint is given that the sound intensity I is defined as the acoustic power per unit area, measured in SI units of Watts per square meter. Power is the rate of doing work, and so has units of force times displacement per unit time, i.e., when setting up the problem, then

    \[ \left[ I \right] = \left( \rm M L^{2} T^{-3} \right) L^{-2} = \rm MT^{-3} \]

Also, pressure is force per unit area, so

    \[ \left[ p \right] = \left(\rm M L T^{-2} \right) \rm L^{-2} = \rm M L^{-1} T^{-2} \]

In this problem, N = 5 and K = 3 by inspection because mass, length, and time are all involved, so there are two \Pi products to determine. Setting up the dimensional matrix gives

    \[ \begin{array}{l|r|r|r|r|r} \mbox{\small Base~unit} & I & p & \varrho & a & r \\ \hline \text{\small Mass M:} \quad & 1 & 1 & 1 & 0 & 0 \\ \text{\small Length L:} \quad & 0 & -1 & -3 & 1 & 1 \\ \text{\small Time T:} \quad & -3 & -2 & 0 & -1 & 0 \end{array} \]

Proceeding with selecting the repeating variables, one choice is \varrho, a, and r. Therefore, the two \Pi groups are

    \[ \Pi_{1} = \phi_1 \left(\varrho, \, a, \, r, \, I \right) \]

and

    \[ \Pi_{2} = \phi_2 \left(\varrho,\, a, \, r, \, p \right) \]

For the first \Pi product then

    \[ \Pi_{1} = (\varrho)^{\alpha} \, (a)^{\beta} \, (r)^{\gamma} I \]

and in terms of the dimensions, then

    \[ \left[ \Pi_{1} \right] = \rm M^{0}L^{0}T^{0} = (\rm M L^{-3})^{\alpha} ( \rm LT^{-1})^{\beta} ( \rm L )^{\gamma} \, \rm MT^{-3} \]

For \Pi_{1} to be dimensionless, then

    \begin{eqnarray*} \text{\small Exponents~of~M:} \quad 0 & = & \alpha + 1 \\ \text{\small Exponents~of~L:} \quad 0 & = & -3\alpha + \beta + \gamma \\ \text{\small Exponents~of~T:} \quad 0 & = & -\beta - 3 \end{eqnarray*}

Therefore, \alpha = -1, \beta = -3, and {\gamma} = 0, so the \Pi_1 product is

    \[ \Pi_1 = (\varrho)^{-1} \, (a)^{-3} \, (r)^0 I = \frac{I}{\varrho \, a^3} \]

For the second \Pi product then

    \[ \Pi_{2} = (\varrho)^{\alpha} \, (a)^{\beta} \, (r)^{\gamma} \, p \]

and in terms of the dimensions, then

    \[ \left[ \Pi_{2} \right] = \rm M^{0}L^{0}T^{0} = (\rm M L^{-3})^{\alpha} (\rm LT^{-1})^{\beta} (\rm L )^{\gamma} \, \rm M L^{-1} T^{-2} \]

For \Pi_{2} to be dimensionless, then

    \begin{eqnarray*} \text{\small Exponents~of~M:} \quad 0 & = & \alpha + 1 \\ \text{\small Exponents~of~L:} \quad 0 & = & -3\alpha + \beta + \gamma - 1\\ \text{\small Exponents~of~T:} \quad 0 & = & -\beta - 2 \end{eqnarray*}

Therefore, \alpha = -1, \beta = -2, and {\gamma} = 0, so the \Pi_2 product is

    \[ \Pi_2 = (\varrho)^{-1} (a)^{-2} \, (r)^0 \, p = \frac{p}{\varrho \, a^2} \]

Interestingly, the factor \varrho a^2 is the acoustic stiffness of the medium, equivalent to the isentropic bulk modulus for small-amplitude sound waves. Therefore, in this case

    \[ \frac{I}{\varrho a^3}= \phi_4 \left( \frac{p}{\varrho \, a^2} \right) \]

Worked Example #13

Consider a liquid in a cylindrical container that rotates as a rigid body (solid-body rotation), as shown in the figure below.
The elevation difference {h} between the center of the liquid surface and the rim of the liquid surface is a function of the angular velocity \omega, the fluid density \varrho, the gravitational acceleration g, and the radius R. Use the Buckingham \Pi method to find the relationship between the height {h} and the other parameters. Show all of your work.

In this problem, the objective is to find the effects of the elevation difference {h} between the center of the liquid surface and the rim of the liquid surface, which is a function of the angular velocity \omega, the fluid density \varrho, the gravitational acceleration g, and the radius R, i.e.,

    \[ h = f \left( \omega, \,  \varrho, \, g, \, R \right) \]

or

    \[ \phi_1 \left( h, \,  \omega, \, \varrho, \, g, \,  R \right) = 0 \]

Therefore, N = 5 and K = 3 (by inspection, mass, length, and time are all involved), so there are two \Pi products to determine. Setting up the dimensional matrix gives

    \[ \begin{array}{l|r|r|r|r|r|} \mbox{\small Base~unit} &   h  & \omega & \varrho &  g & R \\ \hline \text{\small Mass M:} \quad &  0 & 0 & 1 & 0 & 0 \\ \text{\small Length L:} \quad &    1 & 0 & -3 & 1 & 1 \\ \text{\small Time T:} \quad  &  0 & -1 & 0 & -2 & 0 \end{array} \]

Proceeding with selecting the repeating variables, one choice is \varrho, g, and R. Finding the determinant of the dimensional submatrix that is formed by the repeating variables shows that

    \[ \det \begin{bmatrix} 1 & 0 & 0 \\ -3 & 1 & 1 \\ 0 & -2 &  0 \end{bmatrix} \ne 0 \]

so the selected repeating variables are linearly independent.

Therefore, the two \Pi groups are

    \[ \Pi_{1} = \phi_1 \left(\varrho, \, g, \, R, \, \omega \right) \]

and

    \[ \Pi_{2} = \phi_2 \left(\varrho, \,  g, \,  R, \,  h \right) \]

For the first \Pi product then

    \[ \Pi_{1} = (\varrho)^{\alpha} \, (g)^{\beta} \, (R)^{\gamma} \, \omega \]

and in terms of the dimensions, then

    \[ \left[ \Pi_{1} \right] = \rm M^{0}L^{0}T^{0} = (\rm M L^{-3})^{\alpha} (\rm LT^{-2})^{\beta} ( \rm L )^{\gamma} \, \rm T^{-1} \]

For \Pi_{1} to be dimensionless, then

    \begin{eqnarray*} \text{\small Exponents~of~M:} \quad 0 & = & \alpha \\ \text{\small Exponents~of~L:} \quad 0 & = &   -3\alpha + \beta + \gamma \\ \text{\small Exponents~of~T:} \quad 0 & = & -2\beta - 1 \end{eqnarray*}

Therefore, \alpha = 0, \beta = -1/2, and {\gamma} = 1/2, so the \Pi_1 product is

    \[ Pi_1 = (\varrho)^{0} (g)^{-1/2} (R)^{1/2} \omega = \omega \sqrt{ \frac{R}{g} } \]

For the second \Pi product then

    \[ \Pi_{2} = (\varrho)^{\alpha} \,  (g)^{\beta} \, (R)^{\gamma} \, h \]

and in terms of the dimensions, then

    \[ \left[ \Pi_{2} \right] = \rm  M^{0}L^{0}T^{0} = (\rm M L^{-3})^{\alpha} (\rm LT^{-2})^{\beta} (\rm L )^{\gamma} \, \rm L \]

For \Pi_{2} to be dimensionless, then

    \begin{eqnarray*} \text{\small Exponents~of~M:} \quad 0 & = & \alpha \\ \text{\small Exponents~of~L:} \quad 0 & = &   -3\alpha + \beta + \gamma + 1\\ \text{\small Exponents~of~T:} \quad 0 & = & -2\beta \end{eqnarray*}

Therefore, \alpha = 0, \beta = 0, and {\gamma} = -1, so the \Pi_2 product is

    \[ \Pi_2 = (\varrho)^{0} \, (g)^{0} \,  (R)^{-1} \,  h = \frac{h}{R} \]

Therefore, the final result is

    \[ \frac{h}{R} = \phi_3 \left( \omega \,  \sqrt{ \frac{R}{g} }  \right) \]

Worked Example #14

A liquid of density \varrho and viscosity \mu flows by gravity through a hole of diameter {d} in the bottom of a tank of diameter D. At the start of the experiment, the liquid surface is at a height {h} above the bottom of the tank. The liquid exits the tank as a jet with average velocity V straight down. Using the Buckingham \Pi method, find a dimensionless relationship for V as a function of the other parameters in the problem. Identify any established dimensionless parameters that appear in your result. Show all of your work. Hint: Notice that there are three length scales in this problem, but choose {h} as the reference length scale for consistency.

The objective is to find the effects on the exit flow velocity V in terms of the fluid density \varrho, its viscosity \mu, the acceleration under gravity g, the diameter of the hole {d}, the diameter of the tank D, and the height of the liquid surface {h}, i.e.,

    \[ V = f \left( \varrho, \, \mu, \, g, \, d, \, D, \, h \right) \]

or

    \[ \phi_1 \left( V, \, \varrho, \, \mu, \, g, \, d, \, D, \, h \right) = 0 \]

Therefore, N = 7 and K = 3 because mass, length, and time are all involved, so there are four \Pi products to determine. Setting up the dimensional matrix gives

    \[ \begin{array}{l|r|r|r|r|r|r|r|} \mbox{\small Base~unit} & V & \varrho & \mu & g & d & D & h \\ \hline \text{\small Mass M:} \quad & 0 & 1 & 1 & 0 & 0 & 0 & 0 \\ \text{\small Length L:} \quad & 1 & -3 & -1 & 1 & 1 & 1 & 1 \\ \text{\small Time T:} \quad & -1 & 0 & -1 & -2 & 0 & 0 & 0 \end{array} \]

Proceeding with selecting the repeating variables, a convenient choice is \varrho, g, and {h}. These variables collectively contain the dimensions of mass, length, and time. Finding the determinant of the dimensional submatrix that is formed by the repeating variables shows that

    \[ \det \begin{bmatrix} 1 & 0 & 0 \\ -3 & 1 & 1 \\ 0 & -2 & 0 \end{bmatrix} \ne 0 \]

so the selected repeating variables are linearly independent.

Therefore, the four \Pi groups are

    \[ \Pi_{1} = \phi_1 \left(\varrho, \, g, \, h, \, V \right) \]

and

    \[ \Pi_{2} = \phi_2 \left( \varrho, \, g, \, h, \, \mu \right) \]

and

    \[ \Pi_{3} = \phi_3 \left( \varrho, \, g, \, h, \, d \right) \]

and

    \[ \Pi_{4} = \phi_4 \left( \varrho, \, g, \, h, \, D \right) \]

For the first \Pi product then

    \[ \Pi_{1} = (\varrho)^{\alpha} \, (g)^{\beta} \, (h)^{\gamma} \, V \]

and in terms of the dimensions, then

    \[ \left[ \Pi_{1} \right] = \rm M^{0}L^{0}T^{0} = (\rm M L^{-3})^{\alpha} \, (\rm L T^{-2})^{\beta} \, ( \rm L )^{\gamma} \, \rm LT^{-1} \]

For \Pi_{1} to be dimensionless, then

    \begin{eqnarray*} \text{\small Exponents~of~M:} \quad 0 & = & \alpha \\ \text{\small Exponents~of~L:} \quad 0 & = & -3\alpha + \beta + \gamma + 1 \\ \text{\small Exponents~of~T:} \quad 0 & = & -2\beta - 1 \end{eqnarray*}

Therefore, \alpha = 0, \beta = -1/2, and \gamma = -1/2, so the \Pi_1 product is

    \[ \Pi_1 = (\varrho)^{0} \, (g)^{-1/2} \, (h)^{-1/2} \, V = \frac{V}{\sqrt{g \, h}} \]

which is a Froude-number type grouping.

For the second \Pi product then

    \[ \Pi_{2} = (\varrho)^{\alpha} \, (g)^{\beta} \, (h)^{\gamma} \, \mu \]

and in terms of the dimensions, then

    \[ \left[ \Pi_{2} \right] = \rm M^{0}L^{0}T^{0} = (\rm M L^{-3})^{\alpha} \, (\rm L T^{-2})^{\beta} \, ( \rm L )^{\gamma} \, \rm M L^{-1}T^{-1} \]

For \Pi_{2} to be dimensionless, then

    \begin{eqnarray*} \text{\small Exponents~of~M:} \quad 0 & = & \alpha + 1 \\ \text{\small Exponents~of~L:} \quad 0 & = & -3\alpha + \beta + \gamma - 1 \\ \text{\small Exponents~of~T:} \quad 0 & = & -2\beta - 1 \end{eqnarray*}

Therefore, \alpha = -1, \beta = -1/2, and \gamma = -3/2, so the \Pi_2 product is

    \[ \Pi_2 = \varrho^{-1} \, g^{-1/2} \, h^{-3/2} \, \mu = \frac{\mu}{\varrho \, \sqrt{g \, h} \, h} \]

or, equivalently, its reciprocal can be written as a Reynolds-number type grouping,

    \[ Re_h = \frac{\varrho \, \sqrt{g \, h} \, h}{\mu} \]

For the third \Pi product then

    \[ \Pi_{3} = (\varrho)^{\alpha} \, (g)^{\beta} \, (h)^{\gamma} \, d \]

which quickly follows as

    \[ \Pi_3 = \frac{d}{h} \]

For the fourth \Pi product then

    \[ \Pi_{4} = (\varrho)^{\alpha} \, (g)^{\beta} \, (h)^{\gamma} \, D \]

which quickly follows as

    \[ \Pi_4 = \frac{D}{h} \]

Therefore, in this case, the dimensionless groupings involved are such that

    \[ \frac{V}{\sqrt{g \, h}} = \phi_5 \left( Re_h, \, \frac{d}{h}, \, \frac{D}{h} \right) \]

where

    \[ Re_h = \frac{\varrho \, \sqrt{g \, h} \, h}{\mu} \]

This result shows that the exit velocity is governed by a Froude-number type grouping, a Reynolds-number type grouping, and the two geometric ratios d/h and D/h.

Worked Example #15

The AIAA Design Build & Fly (DBF) team must determine the factors that influence the aerodynamic drag on a rectangular banner towed behind their airplane.
The size of the banner is determined by its length, {l}, and height, {h}. Use the Buckingham \Pi method to determine the dimensionless groupings governing this problem. You may also assume that the problem is governed by the airplane’s airspeed, as well as the air’s density and viscosity. Assume further that the banner remains flat and does not flutter in the flow behind the airplane.

The relationship between the drag on the banner D and the air properties can be written in the general functional form as

    \[ D = f \left( \varrho_{\infty}, V_{\infty}, \mu_{\infty}, h, l \right) \]

where the size of the banner is represented by its length, {l}, and height, {h}. The functional dependence of D in implicit form is

    \[ g \left( \varrho_{\infty}, V_{\infty}, \mu_{\infty}, h, l, D \right) = 0 \]

Counting the variables gives N = 6 and K = 3 because this problem has three fundamental dimensions. Therefore, N - K = 3, and there will be three \Pi products. For each variable, the dimensions are

    \begin{eqnarray*} \left[ D \right]  & =  & \rm MLT^{-2} \\ \left[ \varrho_{\infty} \right]  & = & \rm ML^{-3} \\ \left[ V_{\infty} \right] & = & \rm LT^{-1} \\ \left[ \mu_{\infty} \right] & = & \rm ML^{-1}T^{-1} \\ \left[ h \right] & = & \rm L \\ \left[ l \right] & = & \rm L \end{eqnarray*}

The dimensional matrix is

    \[ \begin{array}{l|r|r|r|r|r|r} \mbox{\small Base~unit} &   D  & \varrho_{\infty} & V_{\infty} & \mu_{\infty} & h &  l  \\ \hline \text{\small Mass M: }  &   1  & 1 & 0 & 1 & 0 & 0 \\ \text{\small Length L: }  &  1  & -3 & 1 &  -1  & 1 & 1 \\ \text{\small Time T: } &  -2 & 0 & -1 &  -1 & 0 & 0 \end{array} \]

Choose \varrho_{\infty}, {V_{\infty}}, and {l} as the repeating variables, which will all have primary effects on the drag of the banner. These variables collectively encompass all fundamental dimensions of this problem. Finding the determinant of the dimensional submatrix that is formed by the repeating variables shows that

    \[ \det \begin{bmatrix} 1 & 0 & 0 \\ -3 & 1 & 1 \\ 0 & -1 &  0 \end{bmatrix} \ne 0 \]

so the selected repeating variables are linearly independent.

Following the Buckingham \Pi method, then the three \Pi products are:

    \begin{eqnarray*} \Pi_{1} & = & g_{1} \left( \varrho_{\infty}, V_{\infty}, l, D \right)  \\ \Pi_{2} & = & g_{2} \left( \varrho_{\infty}, V_{\infty}, l, \mu_{\infty} \right) \\ \Pi_{3} & = & g_{3} \left( \varrho_{\infty}, V_{\infty}, l, h \right) \end{eqnarray*}

For \Pi_{1}:

    \[ \Pi_{1} = (\varrho_{\infty})^{\alpha} (V_{\infty})^{\beta} (l)^{\gamma} \, D \]

The values of the coefficients {\alpha}, \beta, and {\gamma} must now be obtained to make the equation dimensionally homogeneous. In terms of the dimensions of the parameters, then

    \[ \left[ \Pi_{1} \right] = 1 = \rm M^{0}L^{0}T^{0} = \left(\rm ML^{-3} \right)^{\alpha} \left(\rm LT^{-1} \right)^{\beta} \left( \rm L \right)^{\gamma} \left( \rm MLT^{-2} \right) \]

For \Pi_{1} to be dimensionless, then the powers or exponents of M, L, and T must add to zero, i.e.,

    \begin{eqnarray*} M: 0 & = & \alpha + 1  \\ L: 0 & = & -3\alpha + \beta + \gamma +1  \\ T: 0 & = & -\beta - 2 \end{eqnarray*}

By inspection \alpha = -1, \beta = -2, and \gamma = -2. Therefore, the first \Pi product is

    \[ \Pi_{1} = (\varrho_{\infty})^{\alpha} (V_{\infty})^{\beta} (l)^{\gamma} D = \varrho_{\infty}^{-1} V_{\infty}^{-2} l^{-2} \, D \]

or

    \[ \Pi_{1} = \frac{D}{\varrho_{\infty} V_{\infty}^{2}\  l^2} \]

i.e., a form of the drag coefficient. Aerodynamic force coefficients are usually defined in terms of the dynamic pressure, i.e., (1/2)\varrho_{\infty} V_{\infty}^2, so that more conventionally the force coefficient is defined as

    \[ \Pi_{1} = C_D = \frac{D}{ \frac{1}{2} \varrho_{\infty} V_{\infty}^{2} \, l^2} \]

It would also be legitimate to write the drag coefficient as

    \[ C_D = \frac{D}{ \frac{1}{2} \varrho_{\infty} V_{\infty}^{2} \, l \, h } = \frac{D}{ \frac{1}{2} \varrho_{\infty} V_{\infty}^{2} \, A } \]

where the banner area A = l \, h is used rather than {l^2}. Ultimately, how C_D is defined is just a matter of convenience and/or consistency with established conventions. For \Pi_{2}:

    \[ \Pi_{2} = (\varrho_{\infty})^{\alpha} (V_{\infty})^{\beta} (l)^{\gamma} \, \mu_{\infty} \]

so

    \[ \left[ \Pi_{2} \right] = 1 = \rm M^{0} L^{0} T^{0} = \left(\rm ML^{-3} \right)^{\alpha} \left( \rm LT^{-1} \right)^{\beta} \left(\rm L\right)^\gamma \left( ML^{-1}T^{-1} \right) \]

and

    \begin{eqnarray*} \text{\small Exponents~of~M:} \quad 0 & = & \alpha+1  \\ \text{\small Exponents~of~L:} \quad 0 & = & -3\alpha + \beta+\gamma-1  \\ \text{\small Exponents~of~T:} \quad 0 & = & -\beta-1 \end{eqnarray*}

Therefore, in this case \alpha = -1, \beta = -1, and \gamma = -1, so

    \[ \Pi_{2} = (\varrho_{\infty})^{\alpha} (V_{\infty})^{\beta} (l)^{\gamma} \mu_{\infty} = \varrho_{\infty}^{-1} V_{\infty}^{-1} l^{-1} \, \mu_{\infty} \]

or

    \[ \Pi_{2} = \frac{\mu_{\infty}}{\varrho_{\infty} V_{\infty} l} \]

Inverting the grouping gives

    \[ { \Pi_{2} = \frac{\varrho_{\infty} V_{\infty} l}{\mu_{\infty}} } \]

which, in the latter case, is a Reynolds number based on the banner length. Notice that the grouping can be inverted by following established conventions for a similarity parameter, or for other convenience.

For \Pi_{3}:

    \[ \Pi_{3} = (\varrho_{\infty})^{\alpha} (V_{\infty})^{\beta} (l)^{\gamma} \, h \]

so

    \[ \left[ \Pi_{3} \right] = 1 = \rm  M^{0}L^{0}T^{0} = \left( \rm ML^{-3} \right)^{\alpha} \left(\rm LT^{-1} \right) ^{\beta} \left( \rm L \right)^{\gamma}\rm L \]

giving

    \begin{eqnarray*} M: 0 & = & \alpha \\ L: 0 & = & -3\alpha + \beta+\gamma+1  \\ T: 0 & = & -\beta \end{eqnarray*}

Therefore, in this case \alpha = 0, \beta = 0, and \gamma = -1, i.e.,

    \[ \Pi_{3} = (\varrho_{\infty})^{\alpha} (V_{\infty})^{\beta} (l)^{\gamma} \, h = \varrho_{\infty}^{0} V_{\infty}^{0} l^{-1} \, h = \frac{h}{l} \]

so

    \[ \Pi_{3} =  \frac{h}{l} \]

or again, this grouping can be inverted (for convenience), giving

    \[ \Pi_{3} =  \frac{l}{h} = A \! R \]

which is a length-to-height ratio or what would be called an aspect ratio AR.

As a result of the dimensional analysis, then

    \[ \phi \left( \frac {D}{\frac{1}{2} \varrho_{\infty} V_{\infty}^{2} \, A }, \frac{\varrho_{\infty} V_{\infty} l }{\mu_{\infty}}, \frac{l}{h} \right) = 0 \]

or

    \[ \phi \left( C_{D}, Re, AR\right) = 0 \]

Finally, in explicit form, the drag coefficient can be written as a function of the Reynolds number based on the banner length and the aspect ratio of the banner, i.e.,

    \[ C_{D} = \phi_{0} \left( Re, AR \right) \]

Note: Try this problem again using \varrho_{\infty}, \mu_{\infty} and {h} as the repeating variables. What happens to the groupings?

 

Worked Example #16

The DBF team has observed that the banner in the previous problem begins to flutter at a critical airspeed, resulting in significantly higher drag. The flutter speed of the banner appears to depend on the length of the banner, {l}, and its structural characteristics, which can be expressed in terms of a natural frequency, {\omega_n}. By extending the steps in the previous question, use the Buckingham \Pi method to determine the dimensionless groupings that will govern the flutter speed of the banner.

The relationship between the flutter speed V_f and the expected dependencies can be written in a general functional form as

    \[ V_f = f \left( \varrho_{\infty}, V_{\infty}, \mu_{\infty}, l, \omega_n \right) \]

or in implicit form as

    \[ g \left( V_f, \varrho_{\infty}, V_{\infty}, \mu_{\infty}, l, \omega_n \right) = 0 \]

Hence, in this problem N = 6, K = 3, N - K = 3, so there will be three \Pi products.

For each variable, the dimensions are

    \begin{eqnarray*} \left[ V_f \right]  & =  & \rm LT^{-1} \\ \left[ \varrho_{\infty} \right]  & = & \rm ML^{-3} \\ \left[ V_{\infty} \right] & = & \rm LT^{-1} \\ \left[ \mu_{\infty} \right] & = & \rm ML^{-1}T^{-1} \\ \left[ l \right] & = & \rm L \\ \left[ \omega_n \right] & = & \rm T^{-1} \end{eqnarray*}

Setting up the dimensional matrix gives

    \[ \begin{array}{l|r|r|r|r|r|r} \mbox{\small Base~unit} &   V_f  & \varrho_{\infty} & V_{\infty} & \mu_{\infty} & l &  \Omega_n  \\ \hline \text{\small Mass M:}  &   0  & 1 & 0 & 1 & 0 & 0 \\ \text{\small Length L:}  &  1  & -3 & 1 &  -1  & 1 & 0 \\ \text{\small Time T:} &  -1 & 0 & -1 &  -1 & 0 & -1 \end{array} \]

Again, as in most aerodynamic problems, \varrho_{\infty}, {V_{\infty}}, and {l} are a good first choice for the repeating variables. Following the Buckingham \Pi method then the \Pi products are to be determined from

    \begin{eqnarray*} \Pi_{1} & = & g_{1} \left( \varrho_{\infty}, V_{\infty}, l, V_f\right)  \\ \Pi_{2} & = & g_{2} \left( \varrho_{\infty}, V_{\infty}, l, \mu_{\infty} \right) \\ \Pi_{3} & = & g_{3} \left( \varrho_{\infty}, V_{\infty}, l, \omega_n \right) \end{eqnarray*}

For \Pi_{1}:

    \[ \Pi_{1} = (\varrho_{\infty})^{\alpha} (V_{\infty})^{\beta} (l)^{\gamma} \, V_f \]

In terms of the dimensions of the parameters, then

    \[ \left[ \Pi_{1} \right] = 1 = \rm M^{0}L^{0}T^{0} = \left(\rm ML^{-3} \right)^{\alpha} \left( \rm LT^{-1} \right)^{\beta} \left( \rm L \right)^{\gamma} \rm L T^{-1} \]

For \Pi_{1} to be dimensionless, then

    \begin{eqnarray*} \text{\small Exponents~of~M:} \quad 0 & = & \alpha  \\ \text{\small Exponents~of~L:} \quad 0 & = & -3\alpha+\beta+\gamma+1  \\ \text{\small Exponents~of~T:} \quad 0 & = & -\beta-1 \end{eqnarray*}

By inspection \alpha = 0, \beta = -1, and \gamma = 0. Therefore, the first \Pi product is

    \[ \Pi_{1} = (\varrho_{\infty})^{\alpha} (V_{\infty})^{\beta} (l)^{\gamma} V_f = \varrho_{\infty}^{0} V_{\infty}^{-1} l^{0} \, V_f \]

or

    \[ \Pi_{1} = \frac{V_f}{V_{\infty}} \]

which is a speed ratio or a dimensionless flutter speed.

For \Pi_{2}:

    \[ \Pi_{2} = (\varrho_{\infty})^{\alpha} (V_{\infty})^{\beta} (l)^{\gamma} \, \mu_{\infty} \]

In terms of the dimensions of the parameters, then

    \[ \left[ \Pi_{2} \right] = 1 = \rm M^{0}L^{0}T^{0} = \left( \rm ML^{-3} \right)^{\alpha} \left( \rm LT^{-1} \right)^{\beta} \left( \rm L \right)^{\gamma} \rm M L^{-1} T^{-1} \]

For \Pi_{2} to be dimensionless, then

    \begin{eqnarray*} \text{\small Exponents~of~M:} \quad 0 & = & \alpha+1 \\ \text{\small Exponents~of~L:} \quad 0 & = & -3\alpha+\beta+\gamma-1  \\ \text{\small Exponents~of~T:} \quad 0 & = & -\beta-1 \end{eqnarray*}

By inspection, \alpha = -1, \beta = -1, and \gamma = -1. Therefore, the second \Pi product is

    \[ \Pi_{2} = (\varrho_{\infty})^{\alpha} (V_{\infty})^{\beta} (l)^{\gamma} \mu_{\infty} = \varrho_{\infty}^{-1} V_{\infty}^{-1} l^{-1} \, \mu_{\infty} \]

So

    \[ \Pi_{2} =  \frac{\mu_{\infty} }{\varrho_{\infty} V_{\infty} l } \]

or

    \[ \Pi_{2} =  \frac{\varrho_{\infty} V_{\infty} l }{\mu_{\infty} } \]

and, once again, a Reynolds number comes into the problem.

For \Pi_{3}:

    \[ \Pi_{3} = (\varrho_{\infty})^{\alpha} (V_{\infty})^{\beta} (l)^{\gamma} \, \omega_n \]

In terms of the dimensions of the parameters, then

    \[ \left[ \Pi_{3} \right] = 1 = \rm M^{0}L^{0}T^{0} = \left( \rm ML^{-3} \right)^{\alpha} \left( \rm LT^{-1} \right)^{\beta} \left(\rm L \right)^{\gamma}\rm T^{-1} \]

For \Pi_{3} to be dimensionless, then

    \begin{eqnarray*} \text{\small Exponents~of~M:} \quad 0 & = & \alpha \\ \text{\small Exponents~of~L:} \quad 0 & = & -3\alpha + \beta+\gamma  \\ \text{\small Exponents~of~T:} \quad 0 & = & -\beta-1 \end{eqnarray*}

By inspection \alpha = 0, \beta = -1, and \gamma = 1. Therefore, the third \Pi product is

    \[ \Pi_{3} = (\varrho_{\infty})^{\alpha} (V_{\infty})^{\beta} (l)^{\gamma} \omega_n = \varrho_{\infty}^{0} V_{\infty}^{-1} l^{1} \  \omega_n \]

or

    \[ \Pi_{3} =  \frac{ \omega_n \, l }{V_{\infty} } \]

which is a form of structural dimensionless frequency or a structural reduced frequency.

As a result of the dimensional analysis, then

    \[ \phi \left( \frac{V_f}{V_{\infty}}, \frac{\varrho_{\infty} V_{\infty} l }{\mu_{\infty} }, \frac{ \omega_n \, l }{V_{\infty} } \right) = 0 \]

or in explicit form

    \[ { \frac{V_f}{V_{\infty}} = \phi_{0} \left( \frac{\varrho_{\infty} V_{\infty} l }{\mu_{\infty} }, \frac{ \omega_n \, l }{V_{\infty} } \right) } \]

Therefore, dimensional analysis indicates that the banner’s dimensionless flutter speed depends on the Reynolds number and its structural reduced frequency.

Worked Example #17

A spherical projectile of diameter {d} is moving supersonically. The drag D is assumed to depend on the freestream velocity {V_{\infty}}, the freestream density \varrho_{\infty}, the freestream viscosity \mu_{\infty}, and the freestream temperature T_{\infty}, as well as the heat capacities at constant volume and constant pressure, {C_{\cal V}} and {C_p}, respectively. Use the Buckingham \Pi method to determine the dimensionless groupings governing this problem.

The relationship between the drag on the sphere and the given variables can be written in a general functional form as

    \[ D = f \left( \varrho_{\infty}, V_{\infty}, \mu_{\infty},  T_{\infty}, C_{\cal V}, C_p, d \right) \]

or in implicit form as

    \[ g \left( D, \varrho_{\infty}, V_{\infty}, \mu_{\infty},  T_{\infty}, C_{\cal V}, C_p, d  \right) = 0 \]

Hence, N = 8, K = 4, N - K = 4, and so there will be four \Pi products. Note that temperature is explicitly defined in this case; thus, there are four fundamental dimensions.

For each variable, the units are

    \begin{eqnarray*} \left[ D \right]  & =  & \rm MLT^{-2} \\ \left[ \varrho_{\infty} \right]  & = &\rm ML^{-3} \\ \left[ V_{\infty} \right] & = & \rm LT^{-1} \\ \left[ \mu_{\infty} \right] & = &\rm ML^{-1}T^{-1} \\ \left[ T_{\infty} \right] & = & \theta \\ \left[  C_{\cal V} \right] & = & \rm L^{2}  T^{-2} \theta^{-1} \\ \left[ C_p \right] & = & \rm L^{2}  T^{-2} \theta^{-1} \\ \left[ d \right] & = & \rm L \end{eqnarray*}

The dimensional matrix is

    \[ \begin{array}{l|r|r|r|r|r|r|r|r|} \mbox{\small Base~unit} &   D  & \varrho_{\infty} & V_{\infty} & \mu_{\infty} & T_{\infty}  &  C_{\cal V} &  C_p & d \\ \hline \text{\small Mass M:} &   1  & 1 & 0 & 1 & 0 & 0 & 0  & 0 \\ \text{\small Length L:} &  1  & -3 & 1 &  -1  & 0 & 2 & 2  & 1 \\ \text{\small Time T:}  &  -2 & 0 & -1 &  -1 & 0 & -2  & -2 & 0 \\ \text{\small Temperature $\theta$:} &  0 & 0 & 0 &  0 & 1 & -1 & -1 & 0 \end{array} \]

Choose \varrho_{\infty}, {V_{\infty}}, T_{\infty} and {d} as the repeating variables. They are not unique; rather, they primarily depend on drag and collectively encompass all fundamental dimensions. Finding the determinant of the dimensional submatrix that is formed by the repeating variables shows that

    \[ \det \begin{bmatrix} 1 & 0 & 0 & 0\\ -3 & 1 & 0 & 1 \\ 0 & -1 &  0 & 0 \\ 0 & 0 & 1 & 0 \end{bmatrix} \ne 0 \]

so the selected repeating variables are linearly independent.

Following the Buckingham \Pi method then the \Pi products are to be determined from:

    \begin{eqnarray*} \Pi_{1} & = & g_{1} \left( \varrho_{\infty}, V_{\infty}, T_{\infty}, d, D \right)  \\ \Pi_{2} & = & g_{2} \left( \varrho_{\infty}, V_{\infty}, T_{\infty}, d, C_{\cal V} \right) \\ \Pi_{3} & = & g_{3} \left( \varrho_{\infty}, V_{\infty}, T_{\infty}, d, C_p \right) \\ \Pi_{4} & = & g_{4} \left( \varrho_{\infty}, V_{\infty}, T_{\infty}, d , \mu_{\infty} \right) \end{eqnarray*}

For \Pi_{1}:

    \[ { \Pi_{1} = (\varrho_{\infty})^{\alpha} (V_{\infty})^{\beta} (T_{\infty})^{\gamma} (d)^{\delta} \, D } \]

In terms of the dimensions of the parameters, then

    \[ \left[ \Pi_{1} \right] = 1 =   M^{0}L^{0}T^{0} \theta^{0} = \left( \rm ML^{-3} \right)^{\alpha} \left(\rm L T^{-1}\right)^{\beta} \left( \rm \theta \right)^{\gamma} \left(\rm L\right)^{\delta} \, \rm M L T^{-2} \]

For \Pi_{1} to be dimensionless, then

    \begin{eqnarray*} \text{\small Exponents~of~M:} \quad 0 & = & \alpha+ 1 \\ \text{\small Exponents~of~L:} \quad 0 & = & -3\alpha +\beta +\delta +1\\ \text{\small Exponents~of~T:} \quad 0 & = & -\beta  - 2 \\ \text{\small Exponents of $\theta$:} \quad 0 & = & \gamma \end{eqnarray*}

By inspection \gamma = 0, \alpha = -1, \beta = -2 and \delta = -2. Therefore, the first \Pi product is

    \[ \Pi_{1} =  (\varrho_{\infty})^{\alpha} (V_{\infty})^{\beta} (T_{\infty})^{\gamma} (d)^{\delta} \, D =  (\varrho_{\infty})^{-1} (V_{\infty})^{-2} (T_{\infty})^{0} (d)^{-2} \, D \]

and

    \[ \Pi_{1}  = \frac{D}{\varrho_{\infty} V_{\infty}^2 \, d^2} \]

which is a drag coefficient, which can be expressed in the conventional way as

    \[ \Pi_{1}  = \frac{D}{\frac{1}{2} \varrho_{\infty} V_{\infty}^2 \, d^2} = C_D \]

For \Pi_{2}:

    \[ \Pi_{2} = (\varrho_{\infty})^{\alpha} (V_{\infty})^{\beta} (T_{\infty})^{\gamma} (d)^{\delta} \, C_{\cal V} \]

In terms of the dimensions of the parameters, then

    \[ \left[ \Pi_{2} \right] = 1 = \rm M^{0}L^{0}T^{0} \theta^{0} = \left( \rm ML^{-3} \right)^{\alpha} \left( \rm L T^{-1}\right)^{\beta} \left(\rm \theta \right)^{\gamma} \left(\rm L\right)^{\delta} \  \rm L^{2}  T^{-2} \theta^{-1} \]

For \Pi_{2} to be dimensionless, then

    \begin{eqnarray*} \text{\small Exponents~of~M:} \quad 0 & = & \alpha \\ \text{\small Exponents~of~L:} \quad 0 & = & -3\alpha +\beta +\delta +2\\ \text{\small Exponents~of~T:} \quad 0 & = & -\beta  - 2 \\ \text{Exponent~of~$\theta$:} \quad 0 & = & \gamma-1 \end{eqnarray*}

By inspection \alpha = 0, \gamma = 1, \beta = -2 and \delta = 0. Therefore, the second \Pi product is

    \[ \Pi_{2} =  (\varrho_{\infty})^{\alpha} (V_{\infty})^{\beta} (T_{\infty})^{\gamma} (d)^{\delta} \, C_{\cal V} =  (\varrho_{\infty})^{0} (V_{\infty})^{-2} (T_{\infty})^{1} (d)^{0} \, C_{\cal V} \]

and

    \[ \Pi_{2}  = \frac{C_{\cal V} \, T_{\infty} }{V_{\infty}^2 } \]

More conventionally, this ratio is written as

    \[ \Pi_{2}  = \frac{V_{\infty}^2 }{C_{\cal V} \, T_{\infty} } \]

Notice that C_{\cal V} \, T_{\infty} is the internal energy per unit mass of the freestream flow, so this dimensionless grouping represents a ratio of kinetic energy to internal energy.

For \Pi_{3} the process will be identical to that for \Pi_{2}, which is redundant. But both {C_{\cal V}} and {C_p} have the same units, so that

    \[ \Pi_{3}  = \frac{C_p}{C_{\cal V}} \]

which is the familiar ratio of specific heats. This ratio would have been a product of the dimensional analysis if {C_{\cal V}} or {C_p} had been used as a repeating variable.

For \Pi_{4}:

    \[ \Pi_{4} = (\varrho_{\infty})^{\alpha} (V_{\infty})^{\beta} (T_{\infty})^{\gamma} (d)^{\delta} \  \mu_{\infty} \]

In terms of the dimensions of the parameters, then

    \[ \left[ \Pi_{2} \right] = 1 =\rm M^{0}L^{0}T^{0} \theta^{0} = \rm \left( ML^{-3} \right)^{\alpha} \left( L T^{-1}\right)^{\beta} \left( \theta \right)^{\gamma} \left(L\right)^{\delta} \  \rm M L^{-1}  T^{-1} \]

For \Pi_{4} to be dimensionless, then

    \begin{eqnarray*} \text{\small Exponents~of~M:} \quad 0 & = & \alpha  + 1\\ \text{\small Exponents~of~L:} \quad 0 & = & -3\alpha +\beta +\delta -1\\ \text{\small Exponents~of~T:} \quad 0 & = & -\beta  - 1 \\ \text{\small Exponents of $\theta$:} \quad  0 & = & \gamma \end{eqnarray*}

By inspection \alpha = -1, \gamma=0, \beta = -1 and \delta = -1. Therefore, the fourth \Pi product is

    \[ \Pi_{4}= (\varrho_{\infty})^{\alpha} (V_{\infty})^{\beta} (T_{\infty})^{\gamma} (d)^{\delta} \, \mu_{\infty} = (\varrho_{\infty})^{-1} (V_{\infty})^{-1} (T_{\infty})^{0} (d)^{-1} \, \mu_{\infty} \]

and

    \[ \Pi_{4}  = \frac{\mu_{\infty}}{\varrho_{\infty} V_{\infty} d} \]

or just

    \[ \Pi_{4}  = \frac{\varrho_{\infty} V_{\infty} d}{\mu_{\infty}} \]

which is the Reynolds number.

As a result of the dimensional analysis, then

    \[ \phi \left(   \frac{D}{\frac{1}{2} \varrho_{\infty} V_{\infty}^2 \, d^2}, \, \frac{V_{\infty}^2 }{C_{\cal V} \, \, T_{\infty} },  \, \frac{C_p}{C_{\cal V}},  \, \frac{\varrho_{\infty} V_{\infty} d}{\mu_{\infty}} \right) = 0 \]

or in explicit form

    \[ \frac{D}{\frac{1}{2} \varrho_{\infty} V_{\infty}^2 \, d^2} = \phi_0 \left( \frac{V_{\infty}^2 }{C_{\cal V} \, T_{\infty} },  \,  \frac{C_p}{C_{\cal V}},  \,  \frac{\varrho_{\infty} V_{\infty} d}{\mu_{\infty}} \right) \]

But the critical grouping that comes out of this problem is

    \[ \Pi_{2}  = \frac{V_{\infty}^2 }{C_{\cal V} \, T_{\infty} } \]

Worked Example #18

A force F is applied at the tip of a cantilevered wing of length L_w and second moment of area I. The modulus of elasticity of the material used for the wing is E. When the force is applied, the tip deflection is z_d. Use the Buckingham \Pi method to find the dimensionless groupings governing this problem.

The relationship between the force and the tip deflection can be written in the general functional form as

    \[ z_d = f \left( F, L_w, I, E \right) \]

or in implicit form as

    \[ g \left(z_d, F, L_w, I, E \right) = 0 \]

where L_w denotes the length of the wing to avoid confusion with the length dimension. Hence, N = 5, K = 3, N - K = 2, and so there will be two independent \Pi products.

For each variable, the units are

    \begin{eqnarray*} \left[ z_d \right] & = & \rm L \\ \left[ F \right] & = & \rm M L T^{-2} \\ \left[ L_w \right] & = & \rm L \\ \left[ I \right] & = & \rm L^4 \\ \left[ E \right] & = & \rm M L^{-1} T^{-2} \end{eqnarray*}

The dimensional matrix is

    \[ \begin{array}{l|r|r|r|r|r} \mbox{\small Base~unit} & z_d & F & L_w & I & E \\ \hline \text{\small Mass M:} & 0 & 1 & 0 & 0 & 1 \\ \text{\small Length L:} & 1 & 1 & 1 & 4 & -1 \\ \text{\small Time T:} & 0 & -2 & 0 & 0 & -2 \end{array} \]

A convenient choice of repeating variables is E, I, and L_w. These variables are linearly independent and collectively contain the fundamental dimensions of mass, length, and time. Finding the determinant of the dimensional submatrix that is formed by the repeating variables shows that

    \[ \det \begin{bmatrix} 1 & 0 & 0 \\ -1 & 4 & 1 \\ -2 & 0 & 0 \end{bmatrix} \ne 0 \]

so the selected repeating variables are linearly independent.

Therefore, the two \Pi products may be written as

    \[ \Pi_{1} = g_{1} \left( E, \, I, \, L_w, \, z_d \right) \]

and

    \[ \Pi_{2} = g_{2} \left( E, \, I, \, L_w, \, F \right) \]

For \Pi_{1}, then

    \[ \Pi_{1} = E^{\alpha} I^{\beta} L_w^{\gamma} z_d \]

In terms of the dimensions of the parameters, then

    \[ \left[ \Pi_{1} \right] = 1 = \rm M^{0}L^{0}T^{0} = \left( \rm M L^{-1} T^{-2} \right)^{\alpha} \left( \rm L^4 \right)^{\beta} \left( \rm L \right)^{\gamma} \left( \rm L \right) \]

For \Pi_{1} to be dimensionless, then

    \begin{eqnarray*} \text{\small Exponents~of~M:} \quad 0 & = & \alpha \\ \text{\small Exponents~of~L:} \quad 0 & = & -\alpha + 4\beta + \gamma + 1 \\ \text{\small Exponents~of~T:} \quad 0 & = & -2\alpha \end{eqnarray*}

Therefore, \alpha = 0, \beta = 0, and \gamma = -1, so the first \Pi product is

    \[ \Pi_{1} = \frac{z_d}{L_w} \]

which is the dimensionless tip deflection.

For \Pi_{2}, then

    \[ \Pi_{2} = E^{\alpha} I^{\beta} L_w^{\gamma} F \]

In terms of the dimensions of the parameters, then

    \[ \left[ \Pi_{2} \right] = 1 = \rm M^{0}L^{0}T^{0} = \left( \rm M L^{-1} T^{-2} \right)^{\alpha} \left( \rm L^4 \right)^{\beta} \left( \rm L \right)^{\gamma} \left( \rm M L T^{-2} \right) \]

For \Pi_{2} to be dimensionless, then

    \begin{eqnarray*} \text{\small Exponents~of~M:} \quad 0 & = & \alpha + 1 \\ \text{\small Exponents~of~L:} \quad 0 & = & -\alpha + 4\beta + \gamma + 1 \\ \text{\small Exponents~of~T:} \quad 0 & = & -2\alpha - 2 \end{eqnarray*}

Therefore, \alpha = -1, \beta = -1, and \gamma = 2, so the second \Pi product is

    \[ \Pi_{2} = E^{-1} I^{-1} L_w^2 F \]

or

    \[ \Pi_{2} = \frac{F L_w^2}{E I} \]

which is the dimensionless loading parameter for the cantilever deflection problem.

Finally, the two independent \Pi groupings have been determined, so the final result in functional form is

    \[ \phi \left( \frac{z_d}{L_w}, \, \frac{F L_w^2}{E I} \right) = 0 \]

or

    \[ \frac{z_d}{L_w} = \phi_0 \left( \frac{F L_w^2}{E I} \right) \]

This form is consistent with the elementary beam-deflection result for a cantilever with a tip load, for which z_d = F L_w^3/(3 E I), giving z_d/L_w = (1/3) F L_w^2/(E I).

Worked Example #19

The ERAU wind tunnel uses oil-based aerosol particles with characteristic size D_p and density \varrho_p to measure flow using Particle Image Velocimetry (PIV). The characteristic time required for the aerosol particle to adjust to a sudden change in flow speed is called the particle relaxation time {\tau_p}, which is given by the equation

    \[ \tau_p = \frac{\varrho_p D_p^2}{18 \mu_{\infty}} \]

where \mu_{\infty} is the viscosity of the flow. First, verify that the primary units of {\tau_p} have dimensions of time. Second, find a dimensionless form for the time constant based on a characteristic flow velocity, V, and a characteristic length, L. Comment on your result. Do you see anything interesting?

The information given is

    \[ \tau_p = \frac{\varrho_p D_p^2}{18 \mu_{\infty}} \]

and the dimensions of {\tau_p} are time. For each variable, the units are

    \begin{eqnarray*} \left[ \varrho_p \right]  & =  & \rm M L^{-3} \\ \left[ D_p \right]  & =  & \rm L \\ \left[ \mu_{\infty} \right]  & = & \rm  M L^{-1} T^{-1} \\ \end{eqnarray*}

so

    \[ \left[ \tau_p \right] = \frac{\rm (M L^{-3} ) (L^2)}{\rm M L^{-1} T^{-1}} = \frac{ \rm M L^{-1}}{\rm M L^{-1} T^{-1}} = \rm T \]

which confirms that the dimensions of {\tau_p} are time.

A dimensionless form of {\tau_p} is required based on a characteristic flow velocity, V, and a characteristic length, L. The ratio L/V has dimensions of time, so that a dimensionless form could be

    \[ \hat{\tau}_p = \frac{\varrho_p D_p^2}{18 \mu_{\infty}}\  \frac{V}{L} =  \frac{\varrho_p V D_p}{18 \mu_{\infty}} \, \frac{D_p}{L} =  \frac{1}{18} \left( \frac{\varrho_p V D_p}{ \mu_{\infty}} \right) \left( \frac{D_p}{L} \right) \]

This outcome is interesting because it involves a Reynolds number based on particle diameter and the particle diameter-to-length scale ratio. Therefore, the higher the Reynolds number and/or the bigger the particle, the longer it will take to adjust to any changes in the flow conditions.

Worked Example #20

Based on experiments performed with a wind turbine, it is determined that its power output is a function of the size of the wind turbine as characterized by its radius R, the rotational angular velocity of the turbine \Omega, the wind speed {V_{\infty}}, and the air density \varrho_{\infty}. Using the Buckingham \Pi method, determine the dimensionless groupings describing this problem.

For this problem, the power output P can be written as

    \[ P = f \left( R, \Omega, V_{\infty}, \varrho_{\infty} \right) \]

In implicit form, then

    \[ \phi_1 \left( R, \Omega, V_{\infty}, \varrho_{\infty}, P \right) = 0 \]

Therefore, N = 5 and again K = 3, so there will be two \Pi products.

The dimensional matrix is

    \[ \begin{array}{l|r|r|r|r|r} \mbox{\small Base~unit} &   R  & \Omega &  V_{\infty} & \varrho_{\infty} & P \\ \hline \text{\small Mass M:} &    0 & 0 & 0 & 1 & 1 \\ \text{\small Length L:}  &    1 & 0 & 1 & -3 & 2 \\ \text{\small Time T:} &  0 & -1 & -1 & 0 & -3 \end{array} \]

Notice the base dimensions of power are M L{^{2}} T{^{-3}}.

The repeating variable must now be chosen. In this case, a good choice is R, {V_{\infty}}, and \varrho_{\infty}, which will primarily influence power production from the turbine. They also collectively include the fundamental dimensions of mass, length, and time, and are linearly independent by inspection.

For the first \Pi product then

    \[ \Pi_{1} = \phi_2 \left(R, V_{\infty}, \varrho_{\infty}, P \right) \]

and for the second \Pi product then

    \[ \Pi_{2} = \phi_3 \left(R, V_{\infty}, \varrho_{\infty}, \Omega \right) \]

Continuing with the first \Pi product then

    \[ \Pi_{1} = (R)^{\alpha} (V_{\infty})^{\beta} (\varrho_{\infty})^{\gamma} P \]

and terms of the dimensions, then

    \[ \left[ \Pi_{1} \right] = \rm M^{0}L^{0}T^{0} = \rm (L)^{\alpha} (L T^{-1} )^{\beta} (M L^{-3} )^{\gamma} M L^{2} T^{-3} \]

For \Pi_{1} to be dimensionless, then

    \begin{eqnarray*} \text{\small Exponents~of~M:} \quad 0 & = & \gamma + 1 \\ \text{\small Exponents~of~L:} \quad 0 & = & \alpha + \beta - 3\gamma + 2 \\ \text{\small Exponents~of~T:} \quad 0 & = & -\beta -3 \end{eqnarray*}

Therefore, \beta = -3, {\gamma} = -1, and \alpha = -2, so the \Pi_1 product is

    \[ \Pi_1 = (R)^{-2} (V_{\infty})^{-3} (\varrho_{\infty})^{-1} P \]

or

    \[ \Pi_1 = \frac{P}{\varrho_{\infty} R^2 V_{\infty}^{3}} \]

which is a form of power coefficient, i.e.,

    \[ C_P = \frac{P}{\varrho_{\infty} R^2 V_{\infty}^{3}} \]

Considering now the second \Pi product then

    \[ \Pi_{2} = (R)^{\alpha} (V_{\infty})^{\beta} (\varrho_{\infty})^{\gamma} \Omega \]

and terms of the dimensions, then

    \[ \left[ \Pi_{2} \right] = \rm M^{0}L^{0}T^{0} = \rm (L)^{\alpha} (L T^{-1} )^{\beta} (M L^{-3} )^{\gamma} T^{-1} \]

For \Pi_{2} to be dimensionless, then

    \begin{eqnarray*} \text{\small Exponents~of~M:} \quad 0 & = & \gamma \\ \text{\small Exponents~of~L:} \quad 0 & = &  \alpha + \beta - 3\gamma \\ \text{\small Exponents~of~T:} \quad 0 & = & -\beta -1 \end{eqnarray*}

Therefore, \beta = -1, {\gamma} = 0, and \alpha = 1, so the \Pi_2 product is

    \[ \Pi_2 = (R)^{1} (V_{\infty})^{-1} (\varrho_{\infty})^{0} \Omega \]

or

    \[ \Pi_2 = \frac{\Omega \, R} {V_{\infty}} \quad \mbox{or} \quad \frac{V_{\infty}}{\Omega \, R} \]

which is a form of an advance ratio or tip speed ratio, i.e.,

    \[ J = \frac{V_{\infty}}{\Omega \, R} \]

Therefore, based on the information given, the power output of the wind turbine in terms of a power coefficient C_P is related to the wind speed in the form of a tip speed ratio J, i.e.,

    \[ \frac{P}{\varrho_{\infty} R^2 V_{\infty}^{3}} = \phi \left( \frac{V_{\infty}}{\Omega \, R} \right) \]

or

    \[ C_P = \phi (J) \]

Worked Example #21

A sphere is located in a pipe through which a liquid flows. The drag force F_D on the sphere is assumed to be a function of the sphere’s diameter {d}, the pipe diameter D, the average flow velocity V, the fluid density \varrho, and the fluid viscosity \mu.
1. Write down the functional expression for the drag force F_D in terms of the parameters given above.
2. Write down the dimensional matrix for this problem in terms of base dimensions M, L, and T.
3. Determine the relevant \Pi groups for this problem.
4. If the drag force on the sphere with D = 0.1 m and {d} = 0.07 m in a specific liquid flowing at an average flow speed of 3 m/s is 600 N, what would the drag force be on a sphere with D = 0.4 m and {d} = 0.28 m at 6.7 m/s using the same liquid? Assume that \varrho = 900 kg m{^{-3}}.

1. In explicit form, then

    \[ F_D = \phi \left( d, D, V, \varrho \right) \]

or in the implicit form, then

    \[ \phi_1 \left( F_D, d, D, V, \varrho \right) = 0 \]

2. Setting up the dimensional matrix for this problem gives

    \[ \begin{array}{l|r|r|r|r|r|r|} \mbox{\small Base~unit} &   F_D & d &  D & V & \varrho \\ \hline \text{\small Mass M:}  & 1 & 0 & 0 & 0 & 1  \\ \text{\small Length L:} & 1 & 1 & 1 & 1 & -3 \\ \text{\small Time T:} & -2 & 0 & 0 & -1 & 0 \\ \end{array} \]

3. In this case, N = 5 (five variables), and by inspection, all of M, L, and T are involved, so K = 3 (i.e., three fundamental dimensions) and there are two \Pi products to determine.

4. Use \varrho, V, and {d} as the repeating variables. This choice includes all the fundamental dimensions, and it is obvious that they are all linearly independent. Following the Buckingham \Pi method then the two \Pi products are

    \begin{eqnarray*} \Pi_{1} & = & g_{1} \left( \varrho, V, d, F_D \right)  \\ \Pi_{2} & = & g_{2} \left( \varrho, V, d, D \right) \\ \end{eqnarray*}

So the first \Pi product is

    \[ \Pi_{1} = (\varrho)^{\alpha} (V)^{\beta} d^{\gamma} \, F_D \]

and terms of the dimensions, then

    \[ \left[ \Pi_{1} \right] = \rm M^{0}L^{0}T^{0} = \rm (ML^{-3})^{\alpha} (L T^{-1} )^{\beta} (L)^{\gamma}  \, M L T^{-2} \]

For \Pi_{1} to be dimensionless then

    \begin{eqnarray*} \text{\small Exponents~of~M:} \quad 0 & = & \alpha + 1 \\ \text{\small Exponents~of~L:} \quad 0 & = &   -3\alpha + \beta + \gamma  + 1\\ \text{\small Exponents~of~T:} \quad 0 & = & -\beta -2 \end{eqnarray*}

Therefore, \beta = -2, \alpha = -1, and \gamma = -2 so the \Pi_1 product is

    \[ \Pi_1 = (\varrho)^{-1} (V)^{-2} d^{-2} F_D = \frac{F_d}{\varrho \, V^2 d^2} = C_{F} \]

which is a force coefficient.

For the second \Pi product then

    \[ \Pi_{2} = (\varrho)^{\alpha} (V)^{\beta} (d^{\gamma}) D \]

and terms of the dimensions, then

    \[ \left[ \Pi_{2} \right] = \rm M^{0}L^{0}T^{0} =\rm (ML^{-3})^{\alpha} (L T^{-1} )^{\beta} (L)^{\gamma} \, L \]

For \Pi_{2} to be dimensionless, then

    \begin{eqnarray*} \text{\small Exponents~of~M:} \quad 0 & = & \alpha \\\ \text{\small Exponents~of~L:} \quad 0 & = &   -3\alpha + \beta + \gamma + 1\\ \text{\small Exponents~of~T:} \quad 0 & = & -\beta \end{eqnarray*}

Therefore, \beta = 0 and {\alpha} = 0, and {\gamma} = -1 so the \Pi_2 product is

    \[ \Pi_2 = (\varrho)^{0} (V)^{0} (d^{-1}) D = \frac{D}{d} \]

which is a dimensionless length. Therefore,

    \[ \phi_2 \left( \Pi_1, \Pi_2\right) = 0 \]

and so finally, in explicit form, then

    \[ C_F = \phi_3 \left( \frac{D}{d}, \, \frac{\varrho V d}{\mu} \right) \]

5. To examine dimensional similitude, for both cases, the force coefficients must be the same, so

    \[ C_F = \frac{F_{D_{1}}}{\varrho V_1^2 d_1^2} =  \frac{F_{D_{2}}}{\varrho V_2^2 d_2^2} \]

so by rearrangement, then

    \[ F_{D_{2}} = F_{D_{1}} \left( \frac{V_2^2}{V_1^2} \right) \left( \frac{d_2^2}{d_1^2} \right) = 600 \left( \frac{6.7^2}{3.0^2} \right) \left( \frac{0.28^2}{0.07^2} \right) = 47,882.7~\mbox{N} \]

Confirming geometric similarity gives

    \[ \left(\frac{D_1}{d_1} \right) \left(\frac{d_2}{D_2} \right) = \left(\frac{0.1}{0.07} \right) \left(\frac{0.28}{0.4} \right) = 1 \]

Worked Example #22

The singing sounds produced by power lines in the wind are called Aeolian tones, caused by vortex shedding behind the lines. The frequency of the sound, {\scriptstyle{f}}, is a function of the diameter of the wires, {d}, the wind speed, V, the density of the air, \varrho, and its dynamic viscosity, \mu.
1. Write down the functional relationship for the frequency in terms of the other parameters in implicit and explicit form.
2. How many base dimensions and \Pi groupings are involved in this problem
3. Write down the dimensional matrix for the problem.
4. Use the Buckingham \Pi method to determine the dimensionless parameter(s) that describes this problem.
5. Rewrite the functional relationship in terms of the dimensionless parameter(s).

1. The frequency of the sound can be written explicitly as

    \[ f =  \phi_1 (d, V, \varrho, \mu) \]

or  implicitly as

    \[ \phi_2 (d, V, \varrho, \mu, f) = 0 \]

2. The number of variables is five, so N = 5, and the number of base dimensions (mass, length, and time are all involved) is 3, so K = 3. This means there are N - K = 2, resulting in two \Pi groupings.

3. The dimensional matrix is

    \[ \begin{array}{l|r|r|r|r|r|r} \mbox{\small Base~unit} & d & V & \varrho & \mu & f  \\ \hline \text{\small Mass M:} &  0  & 0 & 1 & 1 & 0  \\ \text{\small Length L:}  &  1 & 1 & -3 & -1 & 0   \\ \text{\small Time T:} &  0 & -1 & 0 & -1 & -1 \end{array} \]

4. Choose the variables as \varrho, V, and {d}, which are a standard choice for aerodynamic problems. It is now possible to proceed to find the two \Pi groups, i.e.,

    \[ \Pi_1 = g_1(d,V,\varrho,\mu) \]

and

    \[ \Pi_2 = g_2(d,V,\varrho,f) \]

For \Pi_1 then

    \[ \Pi_1 = g_1(d, V, \varrho, \mu) \]

Raising the repeating variables to unknown powers gives

    \[ \left[ \Pi_1 \right] = d^{\alpha} \, V^{\beta} \, \varrho^{\gamma} \, \mu = 1 \]

In terms of dimensions, then

    \[ \rm M^0 L^0 T^0 = 1 = \rm L^{\alpha} \, (LT^{-1})^{\beta} \, (ML^{-3})^{\gamma} \, ML^{-1}T^{-1} \]

For \Pi_1 to be dimensionless, the powers of each base dimension must add to zero, i.e.

    \begin{eqnarray*} \text{\small Exponents~of~M:} \quad 0 & = & \gamma + 1\\ \text{\small Exponents~of~L:} \quad 0 & = & \alpha + \beta - 3 \gamma - 1\\ \text{\small Exponents~of~T:} \quad 0 & = & -\beta - 1\\ \end{eqnarray*}

Solving the equations gives \alpha = -1, \beta = -1, and \gamma = -1 so

    \[ \Pi_1 = d^{-1} \, V^{-1} \, \varrho^{-1} \, \mu = \frac{\mu} {\varrho Vd} \]

which is the inverse of the Reynolds number, so the grouping can be inverted (still having a dimensionless grouping), giving

    \[ \Pi_1 = \frac {\varrho Vd} {\mu} = Re \]

Solving for \Pi_2 gives

    \[ \Pi_2 = g_2(d, V, \varrho, f) \]

so

    \[ \left[ \Pi_2 \right] = d^{\alpha} \, V^{\beta} \, \varrho^{\gamma} \, f = 1 \]

In terms of dimensions, then

    \[ \rm M^0 L^0 T^0 = 1 = \rm L^{\alpha} \, (LT^{-1})^{\beta} \, (ML^{-3})^{\gamma} \  T^{-1} \]

For \Pi_2 to be dimensionless, the powers of each base dimension must add to zero, i.e.

    \begin{eqnarray*} \text{\small Exponents~of~M:} \quad 0 & = & \gamma\\ \text{\small Exponents~of~L:} \quad 0 & = & \alpha + \beta - 3 \gamma\\ \text{\small Exponents~of~T:} \quad 0 & = & -\beta - 1\\ \end{eqnarray*}

Solving the equations gives \alpha = 1, \beta = -1, and \gamma = 0 so

    \[ \Pi_2 = d^{1} \, V^{-1} \, \varrho^{0} \, f = \frac{f d} {V} \]

which is a Strouhal number, i.e.,

    \[ \Pi_2 = \frac{f d} {V} = St \]

5. Therefore, based on the preceding analysis, then

    \[ \phi_3(\Pi_1, \Pi_2) = 0 \]

or

    \[ \phi_3 (\frac{\varrho V d} {\mu}, \frac{f \, d} {V}) = 0 \]

In explicit form, then

    \[ St = \phi_4 (Re) \]

So, the Strouhal number is a function of the Reynolds number.

Worked Example #23

Using Worked Example #22 as a basis, it is desired to replicate the physics of the singing sound and study it in a low-speed wind tunnel. The actual power wires have a diameter of 2.2 cm and are known to sing at wind speeds between 25 mph and 70 mph. How would you develop a wind tunnel test plan to study this problem? The equivalent wire available for the wind tunnel test is 1.1 cm in diameter, and the wires are strung across the width of the test section. The tunnel can reach a maximum flow speed of 75 ft/s. Is it possible to obtain the dynamic similarity of this problem in the wind tunnel test? If not, why not, and what other considerations might be given to the wind tunnel test?

Based on the previous problem, the two relevant similarity parameters are the Reynolds number and the Strouhal number. For the actual power wires, the Reynolds number based on diameter {d} = 2.2 cm will be

    \[ Re = \frac{\varrho \, V \, d}{\mu} = \frac{1.225 \times 70.0 \times 0.447 \times 0.022}{0.000017894} = 47,126 \]

using the highest wind speed of 70 mph and MSL ISA values for air. Notice that 70 mph is equivalent to 102.67 ft/s.

The wire available in the wind tunnel is only 1.1 cm in diameter, i.e., d/2. To achieve the same Reynolds number, the flow speed must be doubled to 140 mph, or 205.3 ft/s, which is significantly higher than the wind tunnel’s maximum flow speed of 75 ft/s. Even if the wire used in the tunnel were 2.2 cm in diameter, matching the Reynolds number at the 70 mph full-scale condition would require a tunnel speed of 70 mph, or 102.7 ft/s, which is still higher than is attainable.

One solution would be to use a wire of a diameter of, say, 3.3 cm in the wind tunnel, which would need a flow speed of

    \[ V = 70.0 \, \frac{2.2}{3.3} = 46.67~\mbox{mph} = 68.45~\mbox{ft/s} \]

to match the Reynolds numbers, which is readily achievable. This wind tunnel speed is 0.667 times the actual wind speed.

Therefore, if the Reynolds number is matched by increasing the wire diameter, can the Strouhal number also be matched? The Strouhal number is

    \[ St = \frac{f d}{V} \]

so if the Strouhal number is the same in the full-scale case and in the wind tunnel, then

    \[ \frac{f_1 d_1}{V_1} = \frac{f_2 d_2}{V_2} \]

or

    \[ \frac{f_2}{f_1} = \frac{V_2}{V_1} \frac{d_1}{d_2} \]

For the proposed wind tunnel test, d_2 = 1.5 d_1 and V_2 = 0.667 V_1, so

    \[ \frac{f_2}{f_1} = \frac{0.667}{1.5} = 0.445 \]

Therefore, even though the Reynolds number could be matched by increasing the wire diameter, the same sound frequency would not be obtained. However, if the Reynolds number is matched and the flow is dynamically similar, then the Strouhal number should also be matched, so the measured wind tunnel frequency can be scaled to the full-scale value using

    \[ f_1 = f_2 \, \frac{V_1}{V_2} \, \frac{d_2}{d_1} \]

In this case, the full-scale frequency would be about 2.25 times the measured wind tunnel frequency.

This is another example of the challenges in sub-scale testing to study fundamental problems. However, with a bit of ingenuity, the problem can be studied by matching, or matching as closely as possible, the similarity parameters that govern the physics.

Worked Example #24

A Covid-19 particle has a density \varrho_p and characteristic size D_p. It is carried along in the air of density \varrho and viscosity \mu. In still air, particles settle very slowly under gravity, reaching a terminal settling speed V. It can be assumed that V depends only on D_p, \mu, g, and the density difference \varrho_e = (\varrho_p - \varrho).

  1. Write down the functional dependency of V and the other variables D_p, \mu, g, and \varrho_e in both explicit and implicit forms.
  2. How many base dimensions and \Pi groupings are involved in this problem?
  3. Write down the dimensions of each of the variables involved.
  4. Form the dimensional matrix for this problem.
  5. Choose D_p, \mu, and g as the repeating variables, then find the \Pi grouping involving V.

1. Let (\varrho_p - \varrho) = \Delta \varrho. The relationship between the settling velocity V and other properties can be written in the general functional form as

    \[ V = f \left( D_p, \mu, g, \Delta \varrho \right) \]

and in implicit form

    \[ g \left( V, D_p, \mu, g, \Delta \varrho \right) = 0 \]

2. N = 5 and K = 3; there are 3 fundamental dimensions in this problem. Therefore, N - K = 2, so there are two \Pi products.

3. For each variable, the dimensions are

    \begin{eqnarray*} \left[ V \right]  & =  &\rm LT^{-1} \\ \left[ D_p \right]  & = &\rm L \\ \left[ \mu \right]  & = & \rm M L^{-1} T^{-1}  \\ \left[ g \right]  & = & \rm L T^{-2} \\ \left[ \Delta \varrho \right]  & = &\rm M L^{-3} \end{eqnarray*}

4. The dimensional matrix is

    \[ \begin{array}{l|r|r|r|r|r|r} \mbox{\small Base~unit} &   V  & D_p & \mu & g & \Delta \varrho \\ \hline \text{\small Mass M:}  &   0  & 0 & 1 & 0 & 1 \\ \text{\small Length L:} &  1  & 1 & -1 &  1  & -3 \\ \text{\small Time T:} &  -1 & 0 & -1 &  -2 & 0 \end{array} \]

5. The parameters D_p, \mu, and g are to be chosen as the repeating variables, which will primarily affect the settling velocity. They also collectively include all the fundamental dimensions. Finding the determinant of the dimensional submatrix that is formed by the repeating variables shows that

    \[ \det \begin{bmatrix} 0 & 1 & 0 \\ 1 & -1 & 1 \\ 0 & -1 & -2 \end{bmatrix} \ne 0 \]

so the selected repeating variables are linearly independent.

The objective is to find the grouping that involves V, so

    \[ \Pi_{1} = (D_p)^{\alpha} (\mu)^{\beta} (g)^{\gamma} \, V \]

In terms of the dimensions of the parameters, then

    \[ \left[ \Pi_{1} \right] = 1 = \rm M^{0}L^{0}T^{0} = \rm \left( L \right)^{\alpha} \left( M L^{-1} T^{-1} \right)^{\beta} \left( L T^{-2} \right)^{\gamma} \left(LT^{-1} \right) \]

For \Pi_{1} to be dimensionless, then the powers or exponents of M, L, and T must add to zero, i.e.,

    \begin{eqnarray*} \text{\small Exponents~of~M:} \quad 0 & = & \beta  \\ \text{\small Exponents~of~L:} \quad 0 & = & \alpha-\beta+\gamma+1  \\ \text{\small Exponents~of~T:} \quad 0 & = & -\beta-2\gamma-1 \end{eqnarray*}

By inspection \beta = 0, \gamma = -1/2 and \alpha = -1/2 so

    \[ \Pi_{1} = (D_p)^{\alpha} (\mu)^{\beta} (g)^{\gamma} \, V = (D_p)^{-1/2} (\mu)^{0} (g)^{-1/2} \, V \]

or

    \[ \Pi_{1} = \frac{V}{\sqrt{D_p \, g}} \]

Worked Example #25

A weir is an obstruction in the flow of water in an open channel. The volume flow rate Q over the weir depends on acceleration under gravity g, the width of the weir b (into the screen), and the water height H above the weir.

  1. Write out the functional relationship in explicit and implicit form.
  2. How many fundamental (base) dimensions are involved?
  3. Write out the dimensional matrix for this problem.
  4. Determine the \Pi groupings that govern this problem.

1. The explicit form of the relationship is

    \[ Q = f( g, b, H ) \]

and in implicit form, then

    \[ g( Q, g, b, H) = 0 \]

2. In this problem, there are only two base dimensions, length L and time T, so the procedure should be more straightforward.

The units involved are

    \begin{eqnarray*} \left[ Q \right]  & =  & \rm L^3 T^{-1} \\ \left[ g \right]  & = & \rm L T^{-2} \\ \left[ b \right]  & = &\rm L  \\ \left[ H \right]  & = & \rm L \end{eqnarray*}

3. The dimensional matrix is

    \[ \begin{array}{l|r|r|r|r|r|r} \mbox{\small Base~unit} &   Q  & g  & b & H  \\ \hline \text{\small Length L:} &  3  & 1 & 1 &  1   \\ \text{\small Time T:} &  -1 & -2 & 0 &   0 \end{array} \]

4. There will be two \Pi products because the number of the basic quantities K = 2 and number of variables in this problem N = 4g and H can be used as repeating variables, which collectively include all the fundamental dimensions and are linearly independent. Note: Both H and b cannot be chosen as repeating variables because they have the same units and are not linearly independent.

For the first \Pi product then

    \[ \Pi_{1} = (g)^{\alpha} (H)^{\beta} Q \]

In terms of the dimensions of the parameters, then

    \[ \left[ \Pi_{1} \right] = 1 = \rm L^{0}T^{0} = \rm \left( L T^{-2} \right)^{\alpha} \left( L \right)^{\beta} \left( L ^3T^{-1} \right) \]

For \Pi_{1} to be dimensionless, then the powers or exponents of L and T must add to zero, i.e.,

    \begin{eqnarray*} \text{\small Exponents~of~L:} \quad 0 & = & \alpha + \beta + 3 \\ \text{\small Exponents~of~T:} \quad 0 & = & -2 \alpha -1 \end{eqnarray*}

By inspection \alpha = -1/2 and \beta = -5/2 so the grouping is

    \[ \Pi_{1} = (g)^{\alpha} (H)^{\beta} Q = (g)^{-1/2} (H)^{-5/2} \, Q \]

or

    \[ \Pi_{1} =\frac{Q} {g^{1/2} \, H^{5/2}} \]

For the second \Pi product then

    \[ \Pi_{2} = (g)^{\alpha} (H)^{\beta} b \]

In terms of the dimensions of the parameters, then

    \[ \left[ \Pi_{2} \right] = 1 = \rm L^{0}T^{0} = \rm \left( L T^{-2} \right)^{\alpha} \left( L  \right)^{\beta} \left( L \right) \]

For \Pi_{2} to be dimensionless, then the powers or exponents of L and T must add to zero, i.e.,

    \begin{eqnarray*} L: 0 & = & \alpha + \beta + 1  \\ T: 0 & = & -2 \alpha \end{eqnarray*}

By inspection \alpha = 0 and \beta = -1 so the grouping is

    \[ \Pi_{2} = (g)^{0} (H)^{-1} b = \frac{b}{H} \]

Therefore, the result is

    \[ \phi_1 \left( \frac{Q} {g^{1/2} \, H^{5/2}}, \frac{b}{H} \right) = 0 \]

or

    \[ \left( \frac{Q} {g^{1/2} \, H^{5/2}} \right) = \phi_2  \left( \frac{b}{H} \right) \]

Worked Example #26

Sir Geoffrey I. Taylor (1886–1975) was a British physicist and engineer. He used dimensional analysis to estimate the blast-wave propagation characteristics of an explosion. Taylor assumed that the radius of the wave R was a function of the energy released E during the explosion, the density of the air \varrho, and the time t. Using the Buckingham Pi method, reconstruct Taylor’s steps and identify the dimensionless group that governs this behavior. How does the radius of the blast wave change by a doubling of (i) E and (ii) time?

The relationship may be written in a general functional form as

    \[ R = \phi \left( E, \varrho, t \right) \]

or in implicit form, then

    \[ \phi_1 \left(R, E, \varrho, t  \right) = 0 \]

Therefore, N = 4 and K = 3 because the problem includes the dimensions of mass, length, and time, and so there is just one \Pi product. Energy is the ability to do work, so the dimensions of energy will be the same as those of work, equivalent to a force times a distance, i.e., \rm M L^2 T^{-2}. Setting up the dimensional matrix gives

    \[ \begin{array}{l|c|r|r|r} \mbox{\small Base~unit} &  R & E & \varrho &  t \\ \hline \text{\small Mass M:} &  0 & 1 & 1 & 0 \\ \text{\small Length L:}  &    1 & 2 & -3 & 0 \\ \text{\small Time T:}  &  0 & -2 & 0 & 1 \end{array} \]

Following the Buckingham \Pi method, then the \Pi product is

    \[ \Pi = (E)^{\alpha} (\varrho)^{\beta} (t)^{\gamma} \, R \]

where the specific values of the coefficients {\alpha}, \beta and {\gamma} must be obtained to make the equation dimensionally homogeneous. In terms of the dimensions of the parameters, then

    \[ \left[ \Pi \right] = 1 = \rm M^{0}L^{0}T^{0} = \rm \left( M L^2 T^{-2} \right)^{\alpha} \left( M L^{-3} \right)^{\beta} \left(T \right)^{\gamma} \, L \]

For \Pi to be dimensionless, then the powers or exponents of M, L, and T must add to zero, i.e.,

    \begin{eqnarray*} \text{\small Exponents~of~M:} \quad 0 & = & \alpha + \beta  \\ \text{\small Exponents~of~L:} \quad 0 & = & 2\alpha - 3\beta + 1  \\ \text{\small Exponents~of~T:} \quad 0 & = &  -2\alpha + \gamma \end{eqnarray*}

In this case, \alpha = -\beta, so \alpha = -1/5 from the second equation. This further gives that \beta = 1/5, and \gamma = -2/5. Therefore,

    \[ \Pi = (E)^{\alpha} (\varrho)^{\beta} (t)^{\gamma} \, R = E^{-1/5} \varrho^{1/5} t^{-2/5} R \]

or

    \[ \Pi = \frac{ R \, \varrho^{1/5}}{E^{1/5} \, t^{2/5}} \]

In the final form, then

    \[ \frac{R \, \varrho^{1/5}}{E^{1/5} \, t^{2/5}} = C \]

where C is an undetermined dimensionless constant. Therefore,

    \[ R = C \left( \frac{E \, t^2}{\varrho} \right)^{1/5} \]

In the second part, the question is how the radius of the blast wave changes when E doubles. According to the derived relationship, the radius would increase by a factor of 2^{1/5}, or about 1.15. By doubling the time, the radius of the wave would increase by a factor of 2^{2/5}, approximately 1.32.

Worked Example #27

An ocean surface wave is a sinusoidal-like disturbance that propagates along the ocean surface, as shown in the figure below. The speed of a capillary wave, U, is found to be a function of the surface tension of the seawater, \sigma, the density of the seawater, \varrho, and the wavelength, \lambda, of the wave. 1. Write down the functional relationship for the speed of the wave in terms of the given parameters, in both implicit and explicit form.
2. How many base dimensions and \Pi groupings are involved in this problem?
3. Write down the dimensions of all the parameters in base dimensions. Notice: The units of surface tension are expressed as a force per unit length, equivalently energy per unit area.
4. Create the dimensional matrix for this problem.
5. Determine the dimensionless parameter(s) that describe this problem.

1. In explicit form, the speed of the wave is

    \[ U = f(\sigma,\, \varrho, \lambda) \]

where {\scriptstyle{f}} is some function. In implicit form, then

    \[ g( \sigma,\, \varrho,\, \lambda, U) = 0 \]

where g is some other function.

2. The base dimensions and \Pi groupings involved in this problem are:

    \begin{eqnarray*} \mbox{\small Number~of~variables:} \, N & = & 4\\ \mbox{\small Number~of~base~dimensions:} \, K & = & 3\\ \mbox{\small Number~of~ $\Pi$~ groups:} \, N - K & = & 4 - 3 = 1\\ \end{eqnarray*}

3. Below are the dimensions of all the parameters in this problem in terms of base dimensions:

The speed of the wave, U, has base dimensions of

    \[ \left[ U \right] = \rm L T^{-1} \]

Surface tension, \sigma, has dimensions of force per unit length, so

    \[ \left[ \sigma \right] = \rm ( M L T^{-2}) L^{-1} = \rm M T^{-2} \]

Density, \varrho, has base dimensions of

    \[ \left[ \varrho \right] = \rm M \, L^{-3} \]

Wavelength, \lambda, has base dimensions of

    \[ \left[ \lambda \right] =\rm L \]

4. From the previous results, the dimensional matrix is

    \[ \begin{array}{l|r|r|r|r} \mbox{\small Base~unit} & \sigma & \varrho & \lambda & U \\ \hline \text{\small Mass M:} & 1 & 1 & 0 & 0 \\ \text{\small Length L:} & 0 & -3 & 1 & 1 \\ \text{\small Time T:} & -2 & 0 & 0 & -1 \end{array} \]

5. The wave speed U cannot be a repeating variable, so the only possible choice of the repeating variables is \sigma, \varrho, and \lambda. Finding the determinant of the dimensional submatrix that is formed by the repeating variables shows that

    \[ \det \begin{bmatrix} 1 & 1 & 0 \\ 0 & -3 & 1 \\ -2 & 0 & 0 \end{bmatrix} \ne 0 \]

so the selected repeating variables are linearly independent.

The \Pi group will be

    \[ \Pi_1 = g_1 (\sigma, \, \varrho, \, \lambda, \, U) \]

Therefore,

    \[ \left[ \Pi_1 \right] = 1 = \rm M^ 0 \, L^0 \, T^0 = \rm \sigma^{\alpha} \, \varrho^{\, \beta} \, \lambda^{\gamma} \, U \]

In terms of dimensions, then

    \[ \left[ \Pi_1 \right] = 1 = \rm M^0 \, L^0 \, T^0 = \rm ( M T^{-2})^{\alpha} \, (ML^{-3})^{\beta} \, (L)^{\gamma} \, LT^{-1} \]

Alternatively, the preceding can be written as

    \[ \rm M^0 \, L^0 \, T^0 = \rm M^{(\alpha + \beta)} \, L^{(-3\beta + \gamma + 1)} \, T^{(-2\alpha - 1)} \]

For this equation to be mathematically balanced on the left and right sides, i.e., to be dimensionally homogeneous, then

    \begin{eqnarray*} \text{\small Exponents~of~M:} \quad \;\; 0 & = & \alpha + \beta \\ \text{\small Exponents~of~L:} \quad \;\; 0 & = & -3\beta + \gamma + 1 \\ \text{\small Exponents~of~T:} \quad \;\; 0 & = & -2\alpha - 1 \\ \end{eqnarray*}

Solving the foregoing equations gives \alpha = -1/2, \beta = 1/2, \gamma = 1/2, so that the resulting \Pi grouping is

    \[ \Pi_1 = \sigma^{-1/2} \, \varrho^{1/2} \, \lambda^{1/2} \, U \]

or

    \[ \Pi_1 = U \sqrt{\frac{\varrho \lambda}{\sigma}} \]

As a final check, it is easy to show that this grouping is dimensionless because

    \[ \left[ \Pi_1 \right] = \mathrm{L\,T^{-1}} \left( \frac{ \mathrm{M\,L^{-3}} \, \mathrm{L} }{ \mathrm{M\,T^{-2}} } \right)^{1/2} = \mathrm{L\,T^{-1}} \left( \mathrm{L^{-2}\,T^{2}} \right)^{1/2} = \mathrm{L\,T^{-1}\,L^{-1}\,T} = 1 \]

Notice that the dimensionless group

    \[ \Pi_1 = U \sqrt{ \frac{ \varrho \lambda }{ \sigma } } \]

compares the wave speed U to a characteristic speed scale defined by surface tension, density, and wavelength. Equivalently, it may be written as

    \[ \Pi_1 = \frac{U}{\sqrt{\sigma/(\varrho \lambda)}} \]

so the characteristic capillary-wave speed is

    \[ U_c = \sqrt{ \frac{ \sigma }{ \varrho \lambda } } \]

This grouping does not have a widely used standalone name, but it appears frequently in the study of capillary waves. It is interpreted as a non-dimensional wave speed for surface-tension-driven phenomena. From capillary wave theory, the wave speed scales as

    \[ U \sim \sqrt{ \frac{ \sigma }{ \varrho \lambda } } \]

which shows that the speed increases with surface tension \sigma, and decreases with wavelength \lambda and density \varrho. The \Pi group captures this balance in non-dimensional form and is used to characterize regimes in which capillary forces dominate gravitational or viscous effects.

In contrast to capillary waves, which are driven by surface tension, longer-wavelength surface waves are typically dominated by gravity. In this regime, the wave speed U scales with gravitational acceleration g and wavelength \lambda as

    \[ U \sim \sqrt{g \lambda} \]

This result follows from the dispersion relation for gravity waves in deep water, where surface tension is negligible compared to the gravitational restoring force. The corresponding dimensionless \Pi group for gravity waves is

    \[ \Pi_2 = \frac{U}{\sqrt{g \lambda}} \]

This \Pi group compares the actual wave speed to the characteristic gravity-wave speed and is commonly encountered in ocean-wave modeling, ship hydrodynamics, and coastal engineering.

Worked Example #28

The flow rate in a pipe is to be measured with an orifice plate, as shown in the figure below. The static pressure upstream and downstream of the plate is measured using two pressure gauges. The volumetric flow rate Q is found to be a function of the measured pressure drop across the plate, \Delta p, the fluid density, \varrho, the fluid viscosity, \mu, the pipe diameter, D, and the orifice diameter, {d}.

  1. Write down the functional relationship for the volumetric flow rate Q in terms of the other parameters, in both implicit and explicit form.
  2. Write down the base dimensions of the parameters involved in this problem.
  3. How many base dimensions and dimensionless groupings are involved in this problem?
  4. Write out the dimensional matrix for this problem.
  5. Choose the repeating variables and explain your choice.
  6. Determine the dimensionless grouping(s) for the parameters involved.
  7. Write down the final dimensionless functional relationship(s).

1. The volumetric flow rate of water can be written in an explicit form as

    \[ Q = \phi_1 (\Delta p, \varrho, \mu, D, d) \]

where \phi_1 is some function, and in the implicit form as

    \[ \phi_2 (Q, \Delta p, \varrho, \mu, D, d) = 0 \]

where \phi_2 is some other function.

2. The dimensions of the parameters involved are:

  • \left[ Q \right] =\rm L^3 T^{-1}
  • \left[ \Delta p \right] = \rm ( M L T^{-2} ) L^{-2} = M L^{-1} T^{-2}
  • \left[ \varrho \right] =\rm M L^{-3}
  • \left[ \mu \right] =\rm M L^{-1} T^{-1}
  • \left[ D \right] = \rm L
  • \left[ d \right] = \rm L

3. The number of base dimensions and groupings involved in this problem:

  • Number of variables: N = 6.
  • Number of base dimensions: K = 3.
  • Number of \Pi groups: N - K = 6 - 3 = 3.

4. The dimensional matrix is

    \[ \begin{array}{l|r|r|r|r|r|r} \mbox{\small Base~unit} & Q & \Delta p & \varrho & \mu & D & d \\ \hline \text{\small Mass M:} & 0 & 1 & 1 & 1 & 0 & 0 \\ \text{\small Length L:} & 3 & -1 & -3 & -1 & 1 & 1 \\ \text{\small Time T:} & -1 & -2 & 0 & -1 & 0 & 0 \end{array} \]

5. A convenient choice of repeating variables is \Delta p, \varrho, and D. These variables are linearly independent and collectively contain the dimensions of mass, length, and time. Finding the determinant of the dimensional submatrix that is formed by the repeating variables shows that

    \[ \det \begin{bmatrix} 1 & 1 & 0 \\ -1 & -3 & 1 \\ -2 & 0 & 0 \end{bmatrix} \ne 0 \]

so the selected repeating variables are linearly independent.

6. The \Pi groups will be formed from

    \[ \Pi_1 = g_1(\Delta p, \varrho, D, Q) \]

    \[ \Pi_2 = g_2( \Delta p, \varrho, D, d) \]

and

    \[ \Pi_3 = g_3( \Delta p, \varrho, D, \mu) \]

The dimensionless groupings must now be determined.

For \Pi_1 then:

    \[ \Pi_1 = (\Delta p)^{\alpha} \, (\varrho)^{\beta} \, (D)^{\gamma} \, Q \]

so

    \[ \left[ \Pi_1 \right] = 1 = \rm M^0 L^0 T^0 = \rm (M L^{-1} T^{-2} )^{\alpha} \, (M L^{-3})^{\beta}\, (L)^{\gamma} \, L^3 T^{-1} \]

or

    \[ \left[ \Pi_1 \right] = 1 = \rm M^{(\alpha+\beta)} \, L^{(-\alpha -3\beta + \gamma+3)} \, T^{(-2\alpha - 1)} \]

For \Pi_1 to be dimensionless, the powers must add to zero, i.e.,

    \begin{eqnarray*} \text{\small Exponents~of~M:} \quad 0 & = & \alpha+\beta \\ \text{\small Exponents~of~L:} \quad 0 & = & -\alpha -3\beta + \gamma + 3 \\ \text{\small Exponents~of~T:} \quad 0 & = & -2\alpha - 1 \end{eqnarray*}

Solving the equations gives \alpha = -1/2, \beta = 1/2, and \gamma = -2. This means, therefore, that \Pi_1 is

    \[ \Pi_1 =\Delta p^{-1/2} \, \varrho^{1/2} \, D^{-2} \, Q \]

or

    \[ \Pi_1 = Q \, \sqrt{ \frac{\varrho}{\Delta p \, D^{4}}} \]

For \Pi_2 then:

    \[ \Pi_2 = (\Delta p)^{\alpha} \, (\varrho)^{\beta} \, (D)^{\gamma} \, d \]

so

    \[ \left[ \Pi_2 \right] = 1 = \rm M^0 L^0 T^0 = \rm (M L^{-1} T^{-2} )^{\alpha} \, (M L^{-3})^{\beta}\, (L)^{\gamma} \, L \]

or

    \[ \left[ \Pi_2 \right] = 1 = \rm M^{(\alpha+\beta)} \, L^{(-\alpha -3\beta + \gamma+1)} \, T^{(-2\alpha)} \]

For \Pi_2 to be dimensionless, the powers must add to zero, i.e.,

    \begin{eqnarray*} \text{\small Exponents~of~M:} \quad 0 & = & \alpha+\beta \\ \text{\small Exponents~of~L:} \quad 0 & = & -\alpha -3\beta + \gamma + 1 \\ \text{\small Exponents~of~T:} \quad 0 & = & -2\alpha \end{eqnarray*}

Solving the equations gives \alpha = 0, \beta = 0, and \gamma = -1. This means, therefore, that \Pi_2 is

    \[ \Pi_2 = \Delta p^{0} \, \varrho^{0} \, D^{-1} \, d = \frac{d}{D} \]

In this case, the ratio of one length to another is dimensionless.

For \Pi_3 then:

    \[ \Pi_3 = (\Delta p)^{\alpha} \, (\varrho)^{\beta} \, (D)^{\gamma} \, \mu \]

so

    \[ \left[ \Pi_3 \right] = 1 = \rm M^0 L^0 T^0 = \rm (M L^{-1} T^{-2} )^{\alpha} \, (M L^{-3})^{\beta}\, (L)^{\gamma} \, M L^{-1}T^{-1} \]

or

    \[ \left[ \Pi_3 \right] = 1 = \rm M^{(\alpha+\beta+1)} \, L^{(-\alpha -3\beta + \gamma-1)} \, T^{(-2\alpha - 1)} \]

For \Pi_3 to be dimensionless, the powers must add to zero, i.e.,

    \begin{eqnarray*} \text{\small Exponents~of~M:} \quad 0 & = & \alpha+\beta+1 \\ \text{\small Exponents~of~L:} \quad 0 & = & -\alpha -3\beta + \gamma - 1 \\ \text{\small Exponents~of~T:} \quad 0 & = & -2\alpha - 1 \end{eqnarray*}

Solving the equations gives \alpha = -1/2, \beta = -1/2, and \gamma = -1. This means, therefore, that \Pi_3 is

    \[ \Pi_3 = \Delta p^{-1/2} \, \varrho^{-1/2} \, D^{-1} \, \mu \]

or

    \[ \Pi_3 = \frac{\mu}{D \sqrt{\varrho \, \Delta p}} \]

Equivalently, this grouping may be inverted to give a Reynolds-number type grouping,

    \[ Re_{\Delta p} = \frac{D \sqrt{\varrho \, \Delta p}}{\mu} \]

7. Finally, the dimensionless relationship between the volumetric flow rate Q and the other parameters is

    \[ Q \, \sqrt{ \frac{\varrho}{\Delta p \, D^{4}}} = \phi \left( \frac{d}{D}, \, Re_{\Delta p} \right) \]

where

    \[ Re_{\Delta p} = \frac{D \sqrt{\varrho \, \Delta p}}{\mu} \]

This result shows that the dimensionless flow rate depends on the orifice-to-pipe diameter ratio and a Reynolds-number type grouping. If viscous effects are negligible over the operating range of interest, then the Reynolds-number dependence may be weak, and the result reduces approximately to a function of d/D alone.

Worked Example #29 – Air jet

An air jet holds a ball in vertical equilibrium, as shown in the figure below. The equilibrium height, {h}, depends on the diameter of the ball, D, jet diameter, {d}, the ball’s weight, W, the viscosity of air, \mu, the density of air, \varrho, and the flow velocity, V. If the final dimensionless relationship can be written as

    \[ \frac{h}{D} = \psi \left( \frac{\varrho V D}{\mu}, \, \Pi_3, \, \Pi_4 \right) \]

then determine the two remaining \Pi groups. Confirm that your \Pi groups are dimensionless.

The relationship may be written in a general functional form as

    \[ h = \phi_1 \left( D, d, W, \mu, \varrho, V \right) \]

or in the implicit form as

    \[ \phi_2 \left( h, D, d, W, \mu, \varrho, V \right) = 0 \]

The base dimensions are:

    \[ \left[ D \right] = \rm L \]

    \[ \left[ d \right] = \rm L \]

    \[ \left[ W \right] = \rm M L T^{-2} \]

    \[ \left[ \mu \right] = \rm M L^{-1} T^{-1} \]

    \[ \left[ \varrho \right] = \rm M L^{-3} \]

    \[ \left[ V \right] = \rm L T^{-1} \]

Setting up the dimensional matrix gives

    \[ \begin{array}{l|c|r|r|r|r|r|r} \mbox{\small Base~unit} & h & D & d & W & \mu & \varrho & V \\ \hline \text{\small Mass M:} \quad & 0 & 0 & 0 & 1 & 1 & 1 & 0 \\ \text{\small Length L:} \quad & 1 & 1 & 1 & 1 & -1 & -3 & 1 \\ \text{\small Time T:} \quad & 0 & 0 & 0 & -2 & -1 & 0 & -1 \end{array} \]

The parameters collectively involve mass, length, and time, so K = 3. There are seven parameters, so N = 7. Therefore, there are N - K = 4 \Pi groupings.

The four \Pi products will be

    \[ \Pi_1 = \psi_1 \left( \varrho, D, V, h \right) \]

    \[ \Pi_2 = \psi_2 \left( \varrho, D, V, \mu \right) \]

    \[ \Pi_3 = \psi_3 \left( \varrho, D, V, d \right) \]

    \[ \Pi_4 = \psi_4 \left( \varrho, D, V, W \right) \]

The information given is that

    \[ \frac{h}{D} = \psi \left( \frac{\varrho V D}{\mu}, \, \Pi_3, \, \Pi_4 \right) \]

so only the two groupings involving {d} and W need to be determined.

For \Pi_3 then

    \[ \Pi_3 = \psi_3 \left( \varrho, D, V, d \right) \]

Raising the repeating variables to unknown powers gives the grouping

    \[ \Pi_3 = (\varrho)^{\alpha} (D)^{\beta} (V)^{\gamma} \, d \]

In terms of dimensions, then

    \[ \left[ \Pi_3 \right] = 1 = \rm M^{0}L^{0}T^{0} = \rm \left( M L^{-3} \right)^{\alpha} \left( L \right)^{\beta} \left(L T^{-1} \right)^{\gamma} \, L \]

For \Pi_3 to be dimensionless, then

    \begin{eqnarray*} \text{\small Exponents~of~M:} \quad 0 & = & \alpha \\ \text{\small Exponents~of~L:} \quad 0 & = & -3\alpha + \beta + \gamma + 1 \\ \text{\small Exponents~of~T:} \quad 0 & = & -\gamma \end{eqnarray*}

By inspection \alpha = 0, \gamma = 0, and \beta= -1, so

    \[ \Pi _3 = (\varrho)^{0} (D)^{-1} (V)^{0} \, d \]

or

    \[ \Pi_3 = \frac{d}{D} \]

which is a dimensionless length.

Check:

    \[ \left[ \Pi_3 \right] = \frac{L}{L} = 1 \]

For \Pi_4 then

    \[ \Pi_4 = \psi_4 \left( \varrho, D, V, W \right) \]

Raising the repeating variables to unknown powers gives the grouping

    \[ \Pi_4 = (\varrho)^{\alpha} (D)^{\beta} (V)^{\gamma} \, W \]

In terms of dimensions, then

    \[ \left[ \Pi_4 \right] = 1 = \rm M^{0}L^{0}T^{0} = \left( M L^{-3} \right)^{\alpha} \left( L \right)^{\beta} \left(L T^{-1} \right)^{\gamma} \, M L T^{-2} \]

For \Pi_4 to be dimensionless, then

    \begin{eqnarray*} \text{\small Exponents~of~M:} \quad 0 & = & \alpha + 1 \\ \text{\small Exponents~of~L:} \quad 0 & = & -3\alpha + \beta + \gamma + 1 \\ \text{\small Exponents~of~T:} \quad 0 & = & -\gamma - 2 \end{eqnarray*}

By inspection \alpha = -1, \gamma = -2, and \beta= -2, so

    \[ \Pi _4 = (\varrho)^{-1} (D)^{-2} (V)^{-2} \, W \]

or

    \[ \Pi_4 = \frac{W}{\varrho \, V^2 D^2} \]

which is a force coefficient.

Check:

    \[ \left[ \Pi_4 \right] = \frac{\rm M L T^{-2}}{\rm (M L^{-3}) (LT^{-1})^2 (L^2)} = \frac{M L T^{-2}}{M L T^{-2}} = 1 \]

Finally, the non-dimensional functional relationship is

    \[ \frac{h}{D} = \psi \left( \frac{\varrho V D}{\mu}, \, \frac{d}{D}, \, \frac{W}{\varrho \, V^2 D^2} \right) \]

Worked Example #30 – Bobbing booster in the ocean

A solid rocket booster parachutes back to Earth and falls into the sea. The booster bobs around in the sea upright at a frequency of \omega. Using dimensional analysis, show that the dimensionless frequency of this motion, k, is given by

    \[ k = \omega \sqrt{\frac{d}{g}} \]

It may be assumed that for this problem, the frequency of motion depends on the diameter of the booster {d}, the mass of the booster, m, the density of the water \varrho, and acceleration under gravity, g.

Using the information provided, the frequency of motion can be written in an explicit functional form as

    \[ \omega = \phi (d, \, m, \, \varrho, \, g) \]

where \phi is some function to be determined, or in implicit form as

    \[ \psi (d, \, m, \, \varrho, \, g, \, \omega) = 0 \]

where \psi is some other function. Therefore, N = 5, K = 3 and so there are two \Pi products. The repeating variables must collectively include all the dimensions of mass {M}, length {L}, and time {T}, so the best choice here is {d}, {m}, and {g}. Notice that if \varrho were to be chosen instead of {g} as a repeating variable, then collectively, the repeating variables would not include time {T}. So, the Buckingham \Pi method will fail in this case. The dependent variable, \omega, cannot be used as a repeating variable. Therefore, the two \Pi products are

    \[ \Pi_1 = \phi_1(d, m, g, \omega) \]

and

    \[ \Pi_2 = \phi_2(d, m, g, \varrho) \]

where \phi_1 and \phi_2 are arbitrary functions. The dimensional matrix is

    \[ \begin{array}{l|r|r|r|r|r}\mbox{\small Base~unit} & d & m & g & \omega & \varrho \\ \hline\text{\small Mass, M} \quad & 0 & 1 & 0 & 0 & 1 \\\text{\small Length, L} \quad & 1 & 0 & 1 & 0 & -3 \\\text{\small Time, T} \quad & 0 & 0 & -2 & -1 & 0\end{array} \]

The first \Pi product is

    \[\small \Pi_{1} = (d)^{\alpha} (m)^{\beta} (g)^{\gamma} \omega \]

where the values of the coefficients {\alpha}, \beta, and {\gamma} must be obtained to make the equation dimensionally homogeneous and dimensionless. In terms of the dimensions of the parameters, then

    \[ \left[ \Pi_{1} \right] = \rm M^{0}L^{0}T^{0} = \left( \rm L \right)^{\alpha} \left( \rm M \right)^{\beta} \left( \rm L T^{-2} \right)^{\gamma} \left(\rm T^{-1}\right) \]

For \Pi_{1} to be dimensionless, then the powers or exponents of M, L, and T must add to zero, i.e., in this case

    \begin{eqnarray*} \text{\small Exponents~of~M:} \quad 0 & = & \beta \\ \text{\small Exponents~of~L:} \quad 0 & = & \alpha + \gamma \\ \text{\small Exponents~of~T:} \quad 0 & = & -2\gamma - 1 \end{eqnarray*}

Therefore, \alpha = 1/2, \beta = 0, and \gamma = -1/2, so the \Pi_1 product is

    \[ \Pi_1 = (d)^{1/2} (m)^{0} (g)^{-1/2} \omega = \omega \sqrt{\frac{d}{g}} \]

which is a dimensionless pendular frequency.

For the second \Pi product then

    \[ \Pi_{2} = (d)^{\alpha} (m)^{\beta} (g)^{\gamma} \varrho \]

In terms of the dimensions, then

    \[ \left[ \Pi_{2} \right] = \rm M^{0}L^{0}T^{0} = \left(\rm L \right)^{\alpha} \left(\rm M \right)^{\beta} \left( L T^{-2} \right)^{\gamma} \left( \rm ML^{-3}\right) \]

For \Pi_{2} to be dimensionless, then

    \begin{eqnarray*} \text{\small Exponents~of~M:} \quad 0 & = & \beta + 1 \\ \text{\small Exponents~of~L:} \quad 0 & = & \alpha + \gamma - 3 \\ \text{\small Exponents~of~T:} \quad 0 & = & -2\gamma \end{eqnarray*}

Therefore, \beta = -1, {\gamma} = 0, and \alpha = 3, so the \Pi_2 product is

    \[ \Pi_2 = (d)^{3} (m)^{-1} (g)^{0} \varrho = \frac{\varrho \, d^3}{m} \]

which is a buoyancy similarity parameter, i.e., the ratio of the mass \varrho \, d^3 (or weight \varrho \, d^3 \, g) of the water displaced to the mass m (or weight m g) of the rocket booster.

Finally, in dimensionless form, then

    \[ \Pi_{1} = \phi_3 (\Pi_2) \]

or that

    \[ \omega \sqrt{\frac{d}{g}} = \phi_3 \left( \frac{\varrho \, d^3}{m}\right) \]

It should be verified that the grouping is dimensionless, i.e., has dimensions of 1. So, in this case

    \[ \left[ \omega \sqrt{\frac{d}{g}} \right] = \rm T^{-1} \sqrt{\rm \frac{L}{L T^{-2}}} = 1 \]

and

    \[ \left[ \frac{\varrho \, d^3}{m} \right] = \rm \frac{ M L^{-3} L^{3} }{M} = 1 \]

which confirms that the two groupings are dimensionless.

Worked Example #31 – Rollover wind speed for a trailer

The wind speed, V, required to destabilize a trailer of mass {m} and height {h}, depends on the gravitational acceleration {g}, the air density {\varrho}, and the base width {b} of the trailer. Take the wind speed as the dependent variable and the other parameters as independent variables. Determine the dimensionless group involving air density and confirm that it is dimensionless. Hints: 1. Choose {m}, {h}, and {g} as the repeating variables. 2. Use only the Buckingham {\Pi} method and show all steps.

The wind speed, V, required to destabilize a trailer can be expressed in functional form as

    \[ V = \phi \left( m, \, h, \, g, \, \varrho, \, b \right) \]

In implicit form, this relationship can also be expressed as

    \[ \psi \left( V, \, m, \, h, \, g, \, \varrho, \, b \right) = 0 \]

Because we have N = 6 parameters and three fundamental dimensions, K = 3, there will be N - K = 6 - 3 = 3 \Pi groups. The dimensions of each parameter are

    \[ \begin{aligned} \left[ V \right] &= \rm L T^{-1} \\ \left[ m \right] &= \rm M\\ \left[ h \right] &= \rm L \\ \left[ g \right] &= \rm L T^{-2} \\ \left[ \varrho \right] &= \rm M L^{-3} \\ \left[ b \right] &= \rm L \end{aligned} \]

The dimensional matrix is

    \[ \begin{array}{l|r|r|r|r|r|r} \mbox{\small Base~unit} & V & m & h & g & \varrho & b \\ \hline \mbox{\small Mass M:} & 0 & 1 & 0 & 0 & 1 & 0 \\ \mbox{\small Length L:} & 1 & 0 & 1 & 1 & -3 & 1 \\ \mbox{\small Time T:} & -1 & 0 & 0 & -2 & 0 & 0 \end{array} \]

According to the hint, m, {h}, and g are to be used as the repeating variables. They are a valid choice because they include all three fundamental dimensions, M, L, and T. Therefore, the three dimensionless groups will be

    \[ \Pi_1 = \phi_1 (m, \, h, \, g, \, V), \quad \Pi_2 = \phi_2 (m, \, h, \, g, \, \varrho), \quad \Pi_3 = \phi_3 (m, \, h, \, g, \, b) \]

The first grouping, \Pi_1, will be

    \[ \Pi_1 = m^\alpha \, h^\beta \, g^\gamma \, V \]

Substituting the dimensions gives

    \[ { \left[ \Pi_1 \right] } = 1 = \rm \left( M \right)^{\alpha} \left( L \right)^{\beta} \left( L T^{-2} \right)^{\gamma} \left( L T^{-1} \right) \]

Equating the exponents gives

    \[ \begin{aligned} 0 &= \alpha \\ 0 &= \beta + \gamma + 1 \\ 0 &= -2\gamma - 1 \end{aligned} \]

Solving gives \alpha = 0, \gamma = -1/2, and \beta = -1/2. Therefore, the first dimensionless group is

    \[ \Pi_1 = \frac{V}{\sqrt{g \, h}} \]

This grouping is recognized as the Froude number, i.e.,

    \[ Fr = \frac{V}{\sqrt{g \, h}} \]

For \Pi_2, then

    \[ \Pi_2 = m^\alpha \, h^\beta \, g^\gamma \, \varrho \]

Substituting the dimensions gives

    \[ { \left[ \Pi_2 \right] = 1 = \rm \left( M \right)^{\alpha} \left( L \right)^{\beta} \left( L T^{-2} \right)^{\gamma} \left( M L^{-3} \right) } \]

Equating the exponents gives

    \[ \begin{aligned} 0 &= \alpha + 1 \\ 0 &= \beta + \gamma - 3 \\ 0 &= -2\gamma \end{aligned} \]

Solving gives \alpha = -1, \gamma = 0, and \beta = 3. Therefore, the second dimensionless group is

    \[ \Pi_2 = \frac{\varrho \, h^3}{m} \]

To confirm this grouping, we can check its dimensions, i.e.,

    \[ \left[ \frac{\varrho \, h^3}{m} \right] = \frac{\left( \rm M L^{-3} \right) \left( \rm L^3 \right)}{M} = \frac{\rm M L^{-3} L^3}{M} = \frac{M}{M} = 1 \]

For \Pi_3, then

    \[ \Pi_3 = m^\alpha \, h^\beta \, g^\gamma \, b \]

Substituting the dimensions gives

    \[ { \left[ \Pi_3 \right] = 1 = \rm \left( M \right)^{\alpha} \left( L \right)^{\beta} \left( L T^{-2} \right)^{\gamma} \left( L \right) } \]

Equating the exponents gives

    \[ \begin{aligned} 0 &= \alpha \\ 0 &= \beta + \gamma + 1 \\ 0 &= -2\gamma \end{aligned} \]

Solving gives \alpha = 0, \gamma = 0, and \beta = -1. Therefore, the third dimensionless group is

    \[ \Pi_3 = \frac{b}{h} \]

Therefore, because all three groups are dimensionless, the relationship must be of the form

    \[ Fr = \phi \left( \frac{\varrho \, h^3}{m}, \frac{b}{h} \right) \]

Notice that the tip-over speed of a trailer depends on a Froude-number-like parameter, not just on the wind speed alone, because rollover involves a balance between wind-induced aerodynamic loading and gravitational restoring effects. The dimensional analysis gives

    \[ Fr = \phi \left( \frac{\varrho \, h^3}{m}, \frac{b}{h} \right) \]

where

    \[ Fr = \frac{V}{\sqrt{g \, h}} \]

The grouping

    \[ \frac{\varrho \, h^3}{m} \]

compares a characteristic mass of air associated with a volume of scale h^3 with the mass of the trailer. The grouping

    \[ \frac{b}{h} \]

is a geometric stability parameter that measures the base width relative to the trailer height.

A simple moment balance is consistent with this result, but only after the trailer geometry and the relevant projected side area are specified. The wind force is proportional to dynamic pressure times projected area, i.e.,

    \[ F_{\text{wind}} \ \propto \ \dfrac{1}{2} \varrho \, V^2 \, A \]

and this force creates a rolling moment about the leeward wheel.

The restoring moment from gravity is

    \[ M_{\text{gravity}} = m \, g \, \frac{b}{2} \]

Therefore, the critical wind speed depends on both aerodynamic loading and the restoring moment from the vehicle weight. The Buckingham-\Pi result shows that the most general dimensionless form, based on the variables specified in the problem, must involve Fr, \varrho h^3/m, and b/h.

Worked Example #32 – Dynamic similarity in the wind tunnel

The aerodynamic drag of a prototype race car is to be predicted at 60 mph for comparison with a CFD solution. Engineers build a one-fourth-scale model of the car to test in a wind tunnel. The drag force is measured with a balance. Determine the required wind-tunnel speed to achieve dynamic flow similarity between the wind-tunnel model and the prototype car. The aerodynamic drag on the model in the wind tunnel is measured at 36.5 lb when the tunnel is operated at a speed that ensures similarity to the prototype car. Estimate the drag force on the actual car. State any assumptions you may make and why. Assume all conditions are MSL ISA. Discuss any other issues that may affect the drag value measured on the wind tunnel model.

In the wind tunnel, we aim to match the Reynolds numbers of the actual car and the model to achieve flow similarity. The Reynolds number for the actual car can be written as

    \[ Re_1 = \frac{\varrho V_1 L_1}{\mu} \]

and for the model

    \[ { Re_2 = \frac{\varrho V_2 L_2}{\mu} } \]

Therefore, we have that

    \[ \frac{Re_2}{Re_1} = 1 = \frac{V_2 L_2}{V_1 L_1} \]

if the flow conditions (e.g., temperature and pressure, hence its density and viscosity) are the same in the wind tunnel as those for the actual car.

The ratio L_2/L_1 = 1/4 (i.e., one-fourth scale), so

    \[ V_2 = 4 V_1 = 240~\mbox{mph} \]

This speed corresponds to a Mach number of about 0.32 under MSL ISA conditions, whereas the prototype at 60 mph has a Mach number of only about 0.08. Therefore, the Reynolds number can be matched by running the one-fourth-scale model at four times the prototype speed, but the Mach numbers are not matched. Compressibility effects are still expected to be modest for this low-speed automotive problem, but this mismatch should be noted as a limitation of the similarity.

The drag force on the actual car can be written as

    \[ D_1 = \frac{1}{2} \varrho V_1^2 A_1 C_D \]

where A_1 is a reference area on which the drag coefficient C_D is based. It is reasonable to assume that the drag coefficient for both the actual car and the model is the same, as is typical for bluff bodies such as cars. The drag force on the model can be written as

    \[ D_2 = \frac{1}{2} \varrho V_2^2 A_2 C_D \]

where the ratio A_2/A_1 = 1/16, i.e., lengths scale linearly but areas scale by the square. Therefore, we can write

    \[ \frac{D_2}{D_1} = \left( \frac{V_2}{V_1} \right)^2 \ \frac{A_2}{A_1} = \left( \frac{4V_1}{V_1} \right)^2 \ \frac{1}{16} = 1 \]

We are told that D_2 is 36.5 lb at a matching Reynolds number, so the drag on the actual car will be D_1 = 36.5 lb, i.e., precisely the same as in the wind tunnel!

This is an interesting and quite useful outcome that follows from the scaling relationships. The force on a body of a particular shape at a given Reynolds number is the same regardless of the combination of size and speed used to produce that given Reynolds number. Of course, the flow conditions (e.g., temperature and pressure, hence density and viscosity) must also be the same.

Worked Example #33 – Are the flows dynamically similar?

Consider the flow about two geometrically similar airfoils, with one having four times the chord of the other airfoil, as shown in the figure below. The freestream parameters are very different, such that:

    \[ V_2 = 2 V_1, \quad \varrho_2 = \frac{ \varrho_1 }{4}, \quad \mbox{~and~} \quad T_2 = 4 T_1 \]

Are the flows dynamically similar? This outcome is certainly not obvious!

To determine this, it is necessary to verify whether the flow similarity parameters are equal for the two flows, specifically whether Re_{1} = Re_{2} and M_{1} = M_{2}. For the first flow, then

    \[ Re_{1} = \frac{\varrho_{1} V_{1} c}{\mu_{1}} \]

and for the second flow, then

    \[ Re_{2} = \frac{\varrho_{2} V_{2} 4c}{\mu_{2}} = \frac{\varrho_{1}}{4} \frac{2V_{1}4c}{\mu_{2}} = \frac{2\varrho_{1}V_{1}c}{\mu_{2}} \]

Therefore,

    \[ \frac{Re_{1}}{Re_{2}} = \frac{\varrho_{1}V_{1}c}{\mu_{1}} \frac{\mu_{2}}{2\varrho_{1}V_{1}c} = \frac{\mu_{2}}{2\mu_{1}} \]

For a gas then \mu \, \propto \, \sqrt{T} is a good approximation, so that

    \[ \frac{\mu_{1}}{\mu_{2}} = \frac{\sqrt{T_{1}}}{\sqrt{T_{2}}} \]

Therefore,

    \[ \frac{Re_{1}}{Re_{2}} = \frac{\mu_{2}}{2\mu_{1}} = \frac{\sqrt{T_{2}}}{2\sqrt{T_{1}}}= \frac{\sqrt{4T_{1}}}{2\sqrt{T_{1}}} = \frac{2\sqrt{T_{1}}}{2\sqrt{T_{1}}} = 1 \]

and so

    \[ Re_{1} = Re_{2} \]

So, the Reynolds numbers for both flows are equal.

The Mach numbers for the two flows are given by

    \[ M_{1} = \frac{V_{1}}{a_{1}} \mbox{ \quad and \quad } M_{2} = \frac{V_{2}}{a_{2}} = \frac{2V_{1}}{a_{2}} \]

so

    \[ \frac{M_{1}}{M_{2}} = \frac{a_{2}}{2a_{1}} \]

It is also known that a \, \propto \, \sqrt{T}, so

    \[ \frac{a_{1}}{a_{2}} = \frac{\sqrt{T_{1}}}{\sqrt{T_{2}}} \]

and then

    \[ \frac{M_{1}}{M_{2}} = \frac{a_{2}}{2a_{1}} = \frac{\sqrt{T_2}}{2\sqrt{T_1}}=\frac{\sqrt{4T_1}} {2\sqrt{T_1}} = \frac{2\sqrt{T_1}}{2\sqrt{T_1}} = 1 \]

giving

    \[ M_{1}= M_{2} \]

Therefore, because the two similarity parameters (Reynolds number and Mach number) are the same for both flows, the two flows will be dynamically similar. Dynamic similarity is an essential concept for engineers and scientists because it allows them to extrapolate results from one system to another. This enables them to predict physical behaviors without testing full-scale systems, which can be expensive and impractical.

Worked Example #34 – Dynamic similarity in the wind tunnel

A \frac{1}{4}-scale model of a small light-sport airplane is tested in a wind tunnel, and the lift force is measured to be 10.5 lb at an airspeed of 30 ft/s in standard air conditions at sea level. Assuming Reynolds-number effects are negligible, estimate the lift force on the full-scale airplane when flying at 120 ft/s at the same angle of attack and under the same atmospheric conditions.

Because the lift is given by

    \[ L = \dfrac{1}{2} \varrho V^2 S C_L \]

then

    \[ \frac{L_f}{L_m} = \left( \frac{V_f}{V_m} \right)^2 \, \left( \frac{S_f}{S_m} \right) \]

where L_m is the lift on the model, L_f is the lift on the full-scale airplane, V_m is the airspeed of the model in the wind tunnel, and V_f is the airspeed of the full-scale airplane.

This is a 1/4-scale model, so the wing area ratio is

    \[ \frac{S_f}{S_m} = 4^2 = 16 \]

The ratios of the lift forces at the same lift coefficient (or angle of attack) will then be

    \[ \frac{L_f}{10.5} = \left(\frac{120}{30}\right)^2 \times 16 = (4)^2 \times 16 = 256 \]

Therefore,

    \[ L_f = 10.5 \times 256 = 2,688 \text{ lb} \]

Worked Example #35 – Dimensional analysis of microfluidic flow

A liquid flows through a microfluidic channel with hydraulic diameter D_h. The pressure drop per unit length along the channel is \Delta p/L, and the average flow velocity is V. The fluid density is \varrho, and its dynamic viscosity is \mu. Using the Buckingham \Pi method, determine the dimensionless groupings that govern the flow. Identify any established dimensionless parameters that appear in the result.

The average velocity can be written in functional form as

    \[ V = f \left( \frac{\Delta p}{L}, \, D_h, \, \varrho, \, \mu \right) \]

or in implicit form as

    \[ \phi_1 \left( V, \, \frac{\Delta p}{L}, \, D_h, \, \varrho, \, \mu \right) = 0 \]

Therefore, N = 5 and K = 3, so there are two \Pi products to determine.

The dimensions of the variables are

    \[ \left[ V \right] = \rm L T^{-1} \]

    \[ \left[ \frac{\Delta p}{L} \right] = \rm M L^{-2} T^{-2} \]

    \[ \left[ D_h \right] = \rm L \]

    \[ \left[ \varrho \right] = \rm M L^{-3} \]

    \[ \left[ \mu \right] = \rm M L^{-1} T^{-1} \]

Choose \varrho, V, and D_h as repeating variables. These variables are linearly independent and collectively contain the fundamental dimensions of mass, length, and time. The two \Pi products can then be written as

    \[ \Pi_1 = \varrho^\alpha \, V^\beta \, D_h^\gamma \, \mu \]

and

    \[ \Pi_2 = \varrho^\alpha \, V^\beta \, D_h^\gamma \, \frac{\Delta p}{L} \]

For the first \Pi product,

    \[ \Pi_1 = \varrho^\alpha \, V^\beta \, D_h^\gamma \, \mu \]

and, in terms of dimensions,

    \[ \left[ \Pi_1 \right] = \rm M^0 L^0 T^0 = \left(\rm M L^{-3}\right)^\alpha \left(\rm L T^{-1}\right)^\beta \left(\rm L\right)^\gamma \left(\rm M L^{-1}T^{-1}\right) \]

Equating exponents gives

    \begin{eqnarray*} \text{\small Exponents~of~M:} \quad 0 & = & \alpha + 1 \\ \text{\small Exponents~of~L:} \quad 0 & = & -3\alpha + \beta + \gamma - 1 \\ \text{\small Exponents~of~T:} \quad 0 & = & -\beta - 1 \end{eqnarray*}

Therefore, \alpha=-1, \beta=-1, and \gamma=-1, so

    \[ \Pi_1 = \frac{\mu}{\varrho \, V \, D_h} \]

or, equivalently, its reciprocal is the Reynolds number,

    \[ Re = \frac{\varrho \, V \, D_h}{\mu} \]

For the second \Pi product,

    \[ \Pi_2 = \varrho^\alpha \, V^\beta \, D_h^\gamma \, \frac{\Delta p}{L} \]

and, in terms of dimensions,

    \[ \left[ \Pi_2 \right] = \rm M^0 L^0 T^0 = \left(\rm M L^{-3}\right)^\alpha \left(\rm L T^{-1}\right)^\beta \left(\rm L\right)^\gamma \left(\rm M L^{-2}T^{-2}\right) \]

Equating exponents gives

    \begin{eqnarray*} \text{\small Exponents~of~M:} \quad 0 & = & \alpha + 1 \\ \text{\small Exponents~of~L:} \quad 0 & = & -3\alpha + \beta + \gamma - 2 \\ \text{\small Exponents~of~T:} \quad 0 & = & -\beta - 2 \end{eqnarray*}

Therefore, \alpha=-1, \beta=-2, and \gamma=1, so

    \[ \Pi_2 = \frac{D_h \, (\Delta p/L)}{\varrho \, V^2} \]

Therefore, the dimensionless relationship can be written as

    \[ \frac{D_h \, (\Delta p/L)}{\varrho \, V^2} = \phi_2 \left( Re \right) \]

or, equivalently,

    \[ \frac{\Delta p}{L} = \frac{\varrho \, V^2}{D_h} \, \phi_2 \left( Re \right) \]

For microfluidic flows, the hydraulic diameter D_h is very small, so the Reynolds number is often small. In this low-Reynolds-number limit, viscous effects dominate over inertial effects, and the pressure gradient is the primary viscous-flow scaling.

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Introduction to Aerospace Flight Vehicles Copyright © 2022–2026 by J. Gordon Leishman is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, except where otherwise noted.

Digital Object Identifier (DOI)

https://doi.org/https://doi.org/10.15394/eaglepub.2022.1066.9

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