Multi-Airfoil Source/Vortex Panel Method

In my YouTube video called “Multi-Airfoil Source/Vortex Panel Method“, we added the capability to analyze multiple element (airfoil) systems, as opposed to just single airfoil systems. The derivations used in this code are the same as those in this derivation YouTube video. To see my single airfoil implementation, you can watch this video.

Below are the files needed to run the code. Note that I only have this code written in MATLAB. If you feel so inclined, you can update my Python code for the single airfoil implementation. You will need all of these files in the same directory. You will also need the “xfoil.exe” program in this directory (download it here). If you want to be able to load airfoils, you’ll also need a directory called “Airfoil_DAT_Selig” in this directory, which includes all the “.dat” files that can be downloaded from the UIUC airfoil database. The main file that you will run is called SPVP_Airfoil_N.m. All these files can also be found on my GitHub site.

SPVP_Airfoil_N.m
SPVP_Airfoil_N.m

To run this program without errors, you need to also download COMPUTE_IJ_SPM_N.m, COMPUTE_KL_VPM_N.m, STREAMLINE_SPM_N.m, STREAMLINE_VPM_N.m, XFOIL_N.m, and COMPUTE_CIRCULATION.m files. All files must be placed in the same directory/folder. You will also need the “xfoil.exe” program and a directory called “Airfoil_DAT_Selig” that includes all the airfoil .dat files.

XFOIL_N.m
XFOIL_N.m

COMPUTE_IJ_SPM_N.m
COMPUTE_IJ_SPM_N.m

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COMPUTE_KL_VPM_N.m
COMPUTE_KL_VPM_N.m
STREAMLINE_SPM_N.m
STREAMLINE_SPM_N.m
STREAMLINE_VPM_N.m
STREAMLINE_VPM_N.m
COMPUTE_CIRCULATION.m
COMPUTE_CIRCULATION.m

Source/Vortex Panel Method: Airfoil

In my YouTube video called “Source/Vortex Panel Method: Airfoil“, we combined the source panel method and vortex panel method into a single code. Each panel has an associated source strength and vortex strength. The source strength is constant on each panel, but can vary from panel to panel. The vortex strength is constant on each panel, and is the same for every panel. The derivation of the equations that we implemented in this code can be found in my derivation YouTube video.

Below are the files needed to run the code. You will need all of these in the same directory. You will also need the “xfoil.exe” program in this directory (download it here). If you want to be able to load airfoils, you’ll also need a directory called “Airfoil_DAT_Selig” in this directory, which includes all the “.dat” files that can be downloaded from the UIUC airfoil database. The main file that you will run is called SPVP_Airfoil. All these files can also be found on my GitHub site.

SPVP_Airfoil.m
SPVP_Airfoil.m

To run this program without errors, you need to also download COMPUTE_IJ_SPM.m, COMPUTE_KL_VPM.m, STREAMLINE_SPM.m, STREAMLINE_VPM.m, XFOIL.m, and COMPUTE_CIRCULATION.m files. All files must be placed in the same directory/folder. You will also need the “xfoil.exe” program and a directory called “Airfoil_DAT_Selig” that includes all the airfoil .dat files.

XFOIL.m
XFOIL.m
COMPUTE_IJ_SPM.m
COMPUTE_IJ_SPM.m
COMPUTE_KL_VPM.m
COMPUTE_KL_VPM.m
STREAMLINE_SPM.m
STREAMLINE_SPM.m
STREAMLINE_VPM.m
STREAMLINE_VPM.m
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COMPUTE_CIRCULATION.m
COMPUTE_CIRCULATION.m
SPVP_Airfoil.py
SPVP_Airfoil.py

To run this program without errors, you need to also download COMPUTE_IJ_SPM.py, COMPUTE_KL_VPM.py, STREAMLINE_SPM.py, STREAMLINE_VPM.py, XFOIL.py, and COMPUTE_CIRCULATION.py files. All files must be placed in the same directory/folder. You will also need the “xfoil.exe” program and a directory called “Airfoil_DAT_Selig” that includes all the airfoil .dat files.

Note: I can’t upload “.py” files, so this is a “.txt” file. Just download it and change the extension to “.py”, and it should work fine.

XFOIL.py
XFOIL.py

Note: I can’t upload “.py” files, so this is a “.txt” file.  Just download it and change the extension to “.py”, and it should work fine.

COMPUTE_IJ_SPM.py
COMPUTE_IJ_SPM.py

Note: I can’t upload “.py” files, so this is a “.txt” file.  Just download it and change the extension to “.py”, and it should work fine.

COMPUTE_KL_VPM.py
COMPUTE_KL_VPM.py

Note: I can’t upload “.py” files, so this is a “.txt” file. Just download it and change the extension to “.py”, and it should work fine.

STREAMLINE_SPM.py
STREAMLINE_SPM.py

Note: I can’t upload “.py” files, so this is a “.txt” file.  Just download it and change the extension to “.py”, and it should work fine.

STREAMLINE_VPM.py
STREAMLINE_VPM.py

Note: I can’t upload “.py” files, so this is a “.txt” file. Just download it and change the extension to “.py”, and it should work fine.

COMPUTE_CIRCULATION.py
COMPUTE_CIRCULATION.py

Note: I can’t upload “.py” files, so this is a “.txt” file. Just download it and change the extension to “.py”, and it should work fine.

Vortex Panel Method: Airfoil

In my YouTube video called “Vortex Panel Method: Airfoil“, we took the source panel method code and updated it such that it would compute the vortex panel strengths for each panel that approximates the airfoil. Below are the files needed to run the code. You will need all of these in the same directory. You will also need the “xfoil.exe” program in this directory (download it here). If you want to be able to load airfoils, you’ll also need a directory called “Airfoil_DAT_Selig” in this directory, which includes all the “.dat” files that can be downloaded from the UIUC airfoil database. The main file that you will run is called VP_Airfoil. All these files can also be found on my GitHub site.

VP_Airfoil.m
VP_Airfoil.m

To run this program without errors, you need to also download COMPUTE_KL_VPM.m, STREAMLINE_VPM.m, XFOIL.m, and COMPUTE_CIRCULATION.m files. All files must be placed in the same directory/folder. You will also need the “xfoil.exe” program in the same directory.

XFOIL.m
XFOIL.m
COMPUTE_KL_VPM.m
COMPUTE_KL_VPM.m
STREAMLINE_VPM.m
STREAMLINE_VPM.m

COMPUTE_CIRCULATION.m
COMPUTE_CIRCULATION.m

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VP_Airfoil.py
VP_Airfoil.py

To run this program without errors, you need to also download COMPUTE_IJ_VPM.py, STREAMLINE_VPM.py, XFOIL.py, and COMPUTE_CIRCULATION.py files.  All files must be placed in the same directory/folder.  You will also need the “xfoil.exe” program in the same directory.

Note: I can’t upload “.py” files, so this is a “.txt” file.  Just download it and change the extension to “.py”, and it should work fine.

XFOIL.py
XFOIL.py

Note: I can’t upload “.py” files, so this is a “.txt” file.  Just download it and change the extension to “.py”, and it should work fine.

COMPUTE_KL_VPM.py
COMPUTE_KL_VPM.py

Note: I can’t upload “.py” files, so this is a “.txt” file. Just download it and change the extension to “.py”, and it should work fine.

STREAMLINE_VPM.py
STREAMLINE_VPM.py

Note: I can’t upload “.py” files, so this is a “.txt” file. Just download it and change the extension to “.py”, and it should work fine.

COMPUTE_CIRCULATION.py
COMPUTE_CIRCULATION.py

Note: I can’t upload “.py” files, so this is a “.txt” file. Just download it and change the extension to “.py”, and it should work fine.

Source Panel Method: Airfoil

In my YouTube video called “Source Panel Method: Airfoil“, we took the circular cylinder code and added a couple of code blocks to be able to load and create an airfoil, and to compute the circulation around an ellipse encompassing the airfoil. Below are the files needed to run the code. You will need all of these in the same directory. You will also need the “xfoil.exe” program in this directory (download it here). If you want to be able to load airfoils, you’ll also need a directory called “Airfoil_DAT_Selig” in this directory, which includes all the “.dat” files that can be downloaded from the UIUC airfoil database. The main file that you will run is called SP_Airfoil.

SP_Airfoil.m
SP_Airfoil.m

To run this program without errors, you need to also download COMPUTE_IJ_SPM.m, STREAMLINE_SPM.m, XFOIL.m, and COMPUTE_CIRCULATION.m files.  All files must be placed in the same directory/folder.  You will also need the “xfoil.exe” program in the same directory.

XFOIL.m
XFOIL.m
COMPUTE_IJ_SPM.m
COMPUTE_IJ_SPM.m
STREAMLINE_SPM.m
STREAMLINE_SPM.m

COMPUTE_CIRCULATION.m
COMPUTE_CIRCULATION.m

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SP_Airfoil.py
SP_Airfoil.py

To run this program without errors, you need to also download COMPUTE_IJ_SPM.py, STREAMLINE_SPM.py, XFOIL.py, and COMPUTE_CIRCULATION.py files.  All files must be placed in the same directory/folder.  You will also need the “xfoil.exe” program in the same directory.

Note: I can’t upload “.py” files, so this is a “.txt” file.  Just download it and change the extension to “.py”, and it should work fine.

XFOIL.py
XFOIL.py

Note: I can’t upload “.py” files, so this is a “.txt” file.  Just download it and change the extension to “.py”, and it should work fine.

COMPUTE_IJ_SPM.py
COMPUTE_IJ_SPM.py

Note: I can’t upload “.py” files, so this is a “.txt” file.  Just download it and change the extension to “.py”, and it should work fine.

STREAMLINE_SPM.py
STREAMLINE_SPM.py

Note: I can’t upload “.py” files, so this is a “.txt” file.  Just download it and change the extension to “.py”, and it should work fine.

COMPUTE_CIRCULATION.py
COMPUTE_CIRCULATION.py

Note: I can’t upload “.py” files, so this is a “.txt” file. Just download it and change the extension to “.py”, and it should work fine.

Source Panel Method: Circular Cylinder

In my YouTube video called “Source Panel Method: Circular Cylinder“, we were finally able to put together all the derivations from my previous videos (see my “Panel Methods” playlist), and code up the source panel method (SPM) for the flow over a circular cylinder. Below are the files necessary for running the code. The main file is called SP_Circle. In order to run it without errors, you will need to also download the two functions (COMPUTE_IJ_SPM and STREAMLINE_SPM) and place them all in the same directory/folder. The first three files are for MATLAB.

SP_Circle.m
SP_Circle.m

To run this program without errors, you need to also download COMPUTE_IJ_SPM.m and STREAMLINE_SPM.m.  All three files must be placed in the same directory/folder.

COMPUTE_IJ_SPM.m
COMPUTE_IJ_SPM.m
STREAMLINE_SPM.m
STREAMLINE_SPM.m
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The next three files listed are for Python.

SP_Circle.py
SP_Circle.py

To run this program without errors, you need to also download COMPUTE_IJ_SPM.py and STREAMLINE_SPM.py.  All three files must be placed in the same directory/folder.

Note: I can’t upload “.py” files, so this is a “.txt” file.  Just download it and change the extension to “.py”, and it should work fine.

COMPUTE_IJ_SPM.py
COMPUTE_IJ_SPM.py

Note: I can’t upload “.py” files, so this is a “.txt” file.  Just download it and change the extension to “.py”, and it should work fine.

STREAMLINE_SPM.py
STREAMLINE_SPM.py

Note: I can’t upload “.py” files, so this is a “.txt” file.  Just download it and change the extension to “.py”, and it should work fine.

How To Take Pictures Like NASA using Background Oriented Schlieren (BOS)

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This post contains all the code (or links to code/programs) that you will need for BOS processing. This post accompanies my YouTube video on the subject, which I recommend you watch. If you would rather read, I have a comprehensive PDF document on the topic as well (see below). If you’re more of a GitHub person, all the downloadable files (except the PDF) seen below are also available on my GitHub.

As far as the free programs that you will need for this project, here is a comprehensive list of all those that I mention. Clicking on the links will open the webpages in a new window.

For all other programs, see the download buttons below.

GUI_BOS_v2.m
GUI_BOS_v2.m

Make sure to also download the FIG file.  To run the program, open and run this file (M file).

GUI_BOS_v2.fig
GUI_BOS_v2.fig

Make sure to place this FIG file in the same directory as the M file.  To run the GUI, open and run the M file.

BOS_Save_Sequence_v2.ijm
BOS_Save_Sequence_v2.ijm

Add this ImageJ/Fiji macro to the “macros” folder. For me, this is located in “Fiji.app > macros”. Then, to make it visible, press Plugins > Macros > Install, and double click on the file. You will then see it when you press Plugins > Macros.  This is the most up-to-date version of this macro.

BOS_Save_Sequence.ijm
BOS_Save_Sequence.ijm

This macro is outdated.  Please use BOS_Save_Sequence_v2.ijm

GUI_BOS_v6.py
GUI_BOS_v6.py

Make sure you have also downloaded the “normxcorr2.py” file mentioned above in the list.

Note: I can’t upload “.py” files, so this is a “.txt” file. Just download it and change the extension to “.py”, and it should work fine.

DIY_BOS_JoshTheEngineer_v1.pdf
DIY_BOS_JoshTheEngineer_v1.pdf

This is the comprehensive PDF document to accompany my video.

Panel Method Geometry

How do we define a geometric shape, such as a polygon? We define coordinate pairs, such as (X, Y). Depending on the geometry we are trying to define, more points will make a better defined shape. For instance, to specify a line, we only need two points. To specify a triangle, we only need three points, and a rectangle needs four. To define a true circle, we need infinite coordinate pairs. That’s a lot of points, so instead we can approximate its shape using a finite number of points. Let us first look at the points shown in Fig. 1. It looks like these eight points are arranged to define a circular-ish polygonal shape. It’s defined by (X, Y) pairs, but which point is first, and what order are these points in after the first?

Figure 1: Circle define by eight arbitrary points.
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Let us say that the intention was, in fact, to define a circle with eight points. Let’s define the first four points as shown in Fig. 2.

Figure 2: Circle defined with eight points along with an arbitrary point numbering scheme.
Continue reading Panel Method Geometry

Combined Flow: Uniform and Vortex Flow

Just as we had used a combined uniform and source flow in a previous post, we will now combine the uniform flow at zero angle of attack with vortex flow. The main point of this post is to compute the circulation over a couple of closed loops and see how they change depending on where they are in the flow-field. The Cartesian velocity components can be seen in the equations below.

(1)   \begin{equation*} \begin{aligned} V_x &= V_\infty\cos\left(\alpha\right) + \frac{\Gamma dy}{2\pi r^2} \\[5pt] V_y &= V_\infty\sin\left(\alpha\right) + \frac{-\Gamma dx}{2\pi r^2} \end{aligned} \end{equation*}

The code can be seen below.

% Vortex knowns
Vinf  = 1;									% Velocity
alpha = 0;									% Angle of attack [deg]
gamma = 30;								 % Vortex strength
X0    = 0;									% Vortex X origin
Y0    = 0;									% Vortex Y origin

% Create the grid
numX = 50;									      % Number of X points
numY = 50;									      % Number of Y points
X    = linspace(-10,10,numX)';    % Create X points array
Y    = linspace(-10,10,numY)';    % Create Y points array
[XX,YY] = meshgrid(X,Y);					% Create the meshgrid

% Solve for velocities
Vx = zeros(numX,numY);						 % Initialize X velocity
Vy = zeros(numX,numY);						 % Initialize Y velocity
r  = zeros(numX,numY);						 % Radius
for i = 1:1:numX							     % Loop over X-points
	for j = 1:1:numY						     % Loop over Y-points
		x       = XX(i,j);					   % X-value of current point
        y       = YY(i,j);				 % Y-value of current point
        dx      = x - X0;					% X distance
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        r       = sqrt(dx^2 + dy^2);		% Distance
        Vx(i,j) = Vinf*cosd(alpha) + (gamma*dy)/(2*pi*r^2);
        Vy(i,j) = Vinf*sind(alpha) + (-gamma*dx)/(2*pi*r^2);
	end
end

Two plots are shown in Fig. 1 and Fig. 2. Figure 1 is for the combined uniform and vortex flow when the vortex strength is \Gamma = 10, whereas Fig. 2 is for the combined uniform and vortex flow when the vortex strength is \Gamma = 30. In both plots, the red arrows are the velocity vectors, the black lines are streamlines, and the blue and magenta curves are used to compute the line integral in the circulation equation.

Figure 1: Combined uniform and vortex flow, where the vortex strength is \Gamma = 10. Blue and magenta contours are used for circulation line integral, with respective values in the legend.
Figure 2: Combined uniform and vortex flow, where the vortex strength is \Gamma = 30. Blue and magenta contours are used for circulation line integral, with respective values in the legend.

We can see from this resulting circulation calculations for both plots that when the vortex is enclosed in the loop, the circulation/vortex strength is accurately predicted, but when the loop does not enclose the vortex, the resulting circulation is zero. This will be important for our lift calculation for the airfoils we will be doing in the vortex panel method (VPM). It also helps shed some light on why the source panel method (SPM), which does not contain any vortex flows in its calculation, does not result in any circulation, and thus no lift.

Uniform_Vortex_Flow.m
Uniform_Vortex_Flow.m

You will need the COMPUTE_CIRCULATION.m function to be located in the same directory to run this script.

COMPUTE_CIRCULATION.m
COMPUTE_CIRCULATION.m
Uniform_Vortex_Flow.py
Uniform_Vortex_Flow.py

You will need the COMPUTE_CIRCULATION.py function to be located in the same directory to run this script.

Note: I can’t upload “.py” files, so this is a “.txt” file. Just download it and change the extension to “.py”, and it should work fine.

COMPUTE_CIRCULATION.py
COMPUTE_CIRCULATION.py

Note: I can’t upload “.py” files, so this is a “.txt” file. Just download it and change the extension to “.py”, and it should work fine.

Elementary Flow: Vortex Flow

Finally, we arrive at the elementary vortex flow. The velocity potential of the vortex is given below (without derivation).

(1)   \begin{equation*} \varphi_v = -\frac{\Gamma}{2\pi}\theta \end{equation*}

Instead of being a function of the radius, it is now a function of the angle \theta. The term (capital gamma) \Gamma is called the vortex strength, and is the same thing as the circulation defined earlier in my other post. We will see this later in this post. As with the source/sink flow, we will stick with Cartesian coordinates because that’s what we’ve been using so far, and also because it will be useful for the panel method derivations later in this document. Similar to the source flow, we can find the x and y velocity components by taking the appropriate derivatives of the velocity potential.

(2)   \begin{equation*} \begin{aligned} V_x &= \frac{\partial \varphi_v}{\partial x} = -\frac{\Gamma}{2\pi}\frac{\partial \theta}{\partial x} \\[5pt] V_y &= \frac{\partial \varphi_v}{\partial y} = -\frac{\Gamma}{2\pi} \frac{\partial \theta}{\partial y} \end{aligned} \end{equation*}

In order to take the derivative, we need to know what \theta is. If we look at a point on a circle at \theta degrees from the positive x-axis, we can draw a line from the origin to this point (see Fig. 1).

Figure 1: Variable definitions for an arbitrary point (x,y) away from the vortex center (x0,y0).
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Dropping a perpendicular line from the point to the x-axis makes a triangle, with the hypotenuse being the radius of the circle. Using trigonometry, we can find the value of \theta.

(3)   \begin{equation*} \begin{aligned} \tan\left(\theta\right) &= \frac{dy}{dx} \\ \theta &= \tan^{-1}\left(\frac{dy}{dx}\right) \end{aligned} \end{equation*}

The distances (dx and dy) to the point on the circle can be found knowing the vortex center point (x_0, y_0).

(4)   \begin{equation*} \begin{aligned} dx &= x - x_0 \\ dy &= y - y_0 \end{aligned} \end{equation*}

The radius of the circle can also be found using Pythagorean’s theorem: r = \sqrt{dx^2 + dy^2}. Now we can perform the partial derivative of \theta with respect to both x and y.

(5)   \begin{equation*} \begin{aligned} \frac{\partial\theta}{\partial x} &= \frac{\partial}{\partial x}\tan^{-1}\left(\frac{dy}{dx}\right) = \left[\frac{1}{1+\left(dy/dx\right)^2}\right]\left(\frac{-dy}{dx^2}\right) \\[2pt] \frac{\partial\theta}{\partial y} &= \frac{\partial}{\partial y}\tan^{-1}\left(\frac{dy}{dx}\right) = \left[\frac{1}{1+\left(dy/dx\right)^2}\right]\left(\frac{1}{dx}\right) \end{aligned} \end{equation*}

The term in the square brackets can be simplified to the following, by multiplying by (dx^2/dx^2), and noting that r^2 = dx^2 + dy^2.

(6)   \begin{equation*} \left[\frac{1}{1+\left(\frac{dy}{dx}\right)^2}\right]\left(\frac{dx^2}{dx^2}\right) = \frac{dx^2}{dx^2 + dy^2} = \frac{dx^2}{r^2} \end{equation*}

Now we can write the velocity component equations by plugging in the above expressions. Note that the dy term appears in the x velocity equation, and vice versa.

(7)   \begin{equation*} \begin{aligned} V_x &= \frac{-\Gamma}{2\pi}\frac{\partial\theta}{\partial x} = \frac{-\Gamma}{2\pi}\left(\frac{dx^2}{r^2}\right)\left(\frac{-dy}{dx^2}\right) = \frac{-\Gamma}{2\pi}\left(\frac{-dy}{r^2}\right) \\[5pt] V_x &= \frac{\Gamma dy}{2\pi r^2} \\[5pt] V_y &= \frac{-\Gamma}{2\pi}\frac{\partial\theta}{\partial y} = \frac{-\Gamma}{2\pi}\left(\frac{dx^2}{r^2}\right)\left(\frac{1}{dx}\right) = \frac{-\Gamma}{2\pi}\left(\frac{dx}{r^2}\right) \\[5pt] V_y &= \frac{-\Gamma dx}{2\pi r^2} \end{aligned} \end{equation*}

Similar to the source/sink flow, we can also easily compute the radial and angular velocity components to compare these values to.

(8)   \begin{equation*} \begin{aligned} V_r &= \frac{\partial \varphi}{\partial r} = 0 \\ V_\theta &= \frac{1}{r} \frac{\partial \varphi}{\partial \theta} = \frac{1}{r}\left(\frac{-\Gamma}{2\pi}\right) \frac{\partial\theta}{\partial\theta} =  -\frac{\Gamma}{2\pi r} \end{aligned} \end{equation*}

We can code the vortex flow in the same way we coded the previous elementary flows. To create a vortex flow, the value of \Gamma must be specified. A positive value results in a clockwise vortex while a negative value results in a counter-clockwise vortex.

% Vortex knowns
gamma = 1;									% Vortex strength
X0    = 0;									% Vortex X origin
Y0    = 0;									% Vortex Y origin

% Create the grid
numX = 100;									     % Number of X points
numY = 100;									     % Number of Y points
X    = linspace(-10,10,numX)';    % Create X points array
Y    = linspace(-10,10,numY)';    % Create Y points array
[XX,YY] = meshgrid(X,Y);					% Create the meshgrid

% Solve for velocities
Vx = zeros(numX,numY);						% Initialize X velocity
Vy = zeros(numX,numY);						% Initialize Y velocity
r  = zeros(numX,numY);						% Radius
for i = 1:1:numX							    % Loop over X-points
	for j = 1:1:numY						    % Loop over Y-points
		x       = XX(i,j);					  % X-value of current point
        y       = YY(i,j);				% Y-value of current point
        dx      = x - X0;				 % X distance
        dy      = y - Y0;				 % Y distance
        r       = sqrt(dx^2 + dy^2);		   % Distance
        Vx(i,j) = (gamma*dy)/(2*pi*r^2);	 % X velocity (Eq. 7)
        Vy(i,j) = (-gamma*dx)/(2*pi*r^2);	% Y velocity (Eq. 7)
        
        % Total, tangential, radial velocity (Eq. 8)
        V(i,j)  = sqrt(Vx(i,j)^2 + Vy(i,j)^2); % Total velocity
        Vt(i,j) = -gamma/(2*pi*r);			  % Tangential velocity
        Vr(i,j) = 0;						          % Radial velocity
	end
end

% Plot the velocity on the grid
figure(1);								       % Create figure
cla; hold on; grid off;					% Get ready for plotting
set(gcf,'Color','White');				% Set background to white
set(gca,'FontSize',12);					% Change font size
quiver(X,Y,Vx,Vy,'r');					 % Velocity vector arrows
axis('equal');							     % Set axis to equal sizes
xlim([min(X) max(X)]);					 % Set X-axis limits
ylim([min(Y) max(Y)]);					 % Set Y-axis limits
xlabel('X Axis');						    % Set X-axis label
ylabel('Y Axis');						    % Set Y-axis label
title('Vortex Flow Flow');			% Set title

The results for both a positive and negative vortex can be seen in Fig. 2 and Fig. 3, respectively. Note that in Fig. 2, we specified a positive value for the vortex strength, which results in the clockwise flow, while in Fig. 3, we specified a negative value for the vortex strength which results in counter-clockwise flow.

Figure 2: Positive strength vortex of \Gamma = 1. Blue line is the curve used for circulation calculation.
Figure 3: Negative strength vortex of \Gamma = -1.

The circulation is again computed in the normal way along the blue line in Fig. 2. The result of the integration is a value that very closely matches the vortex strength that we specified in the equations above. The correct sign is also included. For the positive vortex, we specified a strength of 1, and the computed circulation is \Gamma = 0.999357. For the negative vortex, we specified a strength of -1, and the compute circulation is \Gamma = -0.999357. Note that for these calculations, we have broken the curve into 100 segments. If less segments are used, the results are less accurate (\Gamma = 0.997281 using 50 segments).

Vortex_Flow.m
Vortex_Flow.m

You will need the COMPUTE_CIRCULATION.m function to be located in the same directory to run this script.

COMPUTE_CIRCULATION.m
COMPUTE_CIRCULATION.m
Vortex_Flow.py
Vortex_Flow.py

You will need the COMPUTE_CIRCULATION.py function to be located in the same directory to run this script.

Note: I can’t upload “.py” files, so this is a “.txt” file. Just download it and change the extension to “.py”, and it should work fine.

COMPUTE_CIRCULATION.py
COMPUTE_CIRCULATION.py

Note: I can’t upload “.py” files, so this is a “.txt” file. Just download it and change the extension to “.py”, and it should work fine.

Combined Flow: Uniform and Source/Sink Flow

Now we can try to combine two elementary flows using the principle of superposition. We will combine a uniform flow at zero angle of attack (\alpha = 0) with a source flow (\Lambda > 0). For brevity, only the loop where the velocity components are computed for this combined flow are shown in the code. The Cartesian velocity components are shown below.

(1)   \begin{equation*} \begin{aligned} V_x &= V_\infty\cos\left(\alpha\right) +\frac{\Lambda\left(X_\text{P}-X_0\right)}{2\pi r_\text{P}^2} \\[2pt] V_y &= V_\infty\sin\left(\alpha\right) +\frac{\Lambda\left(Y_\text{P}-Y_0\right)}{2\pi r_\text{P}^2} \end{aligned} \end{equation*}

for i = 1:1:numX
    for j = 1:1:numY
        x       = XX(i,j);
        y       = YY(i,j);
        dx      = x - X0;
        dy      = y - Y0;
        r       = sqrt(dx^2 + dy^2);
        Vx(i,j) = Vinf*cosd(alpha) + ((lambda*dx)/(2*pi*r^2));
        Vy(i,j) = Vinf*sind(alpha) + ((lambda*dy)/(2*pi*r^2));
    end
end
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The only difference between this code and the others we have looked at is that V_x and V_y are equal to the sum of the uniform flow and source flow solutions. The resulting flow field can be seen in Fig. 1. The circulation is computed the same way as before, and results again in a value nearly zero (\Lambda = 5.69315 \times 10^{-16}), which makes sense because we still have no vortex in this flow (no source of circulation).

Figure 1: Uniform and source flow, with the blue line showing the curve used for the circulation integral.
Uniform_Source_Sink_Flow.m
Uniform_Source_Sink_Flow.m

You will need the COMPUTE_CIRCULATION.m function to be located in the same directory to run this script.

COMPUTE_CIRCULATION.m
COMPUTE_CIRCULATION.m
Uniform_Source_Sink_Flow.py
Uniform_Source_Sink_Flow.py

You will need the COMPUTE_CIRCULATION.py function to be located in the same directory to run this script.

COMPUTE_CIRCULATION.py
COMPUTE_CIRCULATION.py

Note: I can’t upload “.py” files, so this is a “.txt” file. Just download it and change the extension to “.py”, and it should work fine.