JoshTheEngineer | Visualizing Formula 1 Engine Heat @JoshTheEngineer | Uploaded April 2018 | Updated October 2024, 49 minutes ago.
In this video, we will go through how to visualize small heat disturbances from the engine heat of a Formula 1 race car! I'm going to be using a video from Red Bull Racing back when they were promoting the COTA race, along with a MATLAB code called PIVLab (links to everything below).
===== NOTES =====
→ You can also skip the masking step and just vector validate afterwards, and that works pretty well too.
→ If you do want to mask, make sure to mask both the A and B images, and you probably won't need to do any vector validation afterwards if you're careful. I went through it again doing this, and I got some nice results.
→ I tried to see if there was a way to get rid of the mask when outputting the video, but I wasn't able to find a way to do this. If you figure it out, let me know. If that's not a feature, I might try to go into the code and put that option in myself.
- Thanks again to Jenna and Wayne for their help, which took time away from our coveted Wednesday Ninja Warrior night.
===== PIVLAB =====
→ MATLAB File Exchange
mathworks.com/matlabcentral/fileexchange/27659-pivlab-particle-image-velocimetry--piv--tool
→ PIVLab Website
pivlab.blogspot.com
→ William's YouTube video
youtube.com/watch?v=Sp3Ounq07Qc&t=26s
→ Citations
Thielicke, W. and Stamhuis, E.J. (2014): PIVlab – Towards User-friendly, Affordable and Accurate Digital Particle Image Velocimetry in MATLAB. Journal of Open Research Software 2(1):e30, DOI: dx.doi.org/10.5334/jors.bl
Thielicke, W. and Stamhuis, E. J. (2014): PIVlab - Time-Resolved Digital Particle Image Velocimetry Tool for MATLAB (version: X.XX modify this). dx.doi.org/10.6084/m9.figshare.1092508
Thielicke, W. (2014): The Flapping Flight of Birds - Analysis and Application. Phd thesis, Rijksuniversiteit Groningen. http://irs.ub.rug.nl/ppn/382783069
===== ATTRIBUTION =====
► Force India image
Artes Max, Flickr
flickr.com/photos/105731165@N07
flickr.com/photos/105731165@N07/25768805927
License: creativecommons.org/licenses/by-sa/2.0
► Red Bull Racing promotional video
Aston Martin Red Bull Racing
youtube.com/watch?v=0tEHQJn_hxo
Time: ~3:16 to 3:18
In this video, we will go through how to visualize small heat disturbances from the engine heat of a Formula 1 race car! I'm going to be using a video from Red Bull Racing back when they were promoting the COTA race, along with a MATLAB code called PIVLab (links to everything below).
===== NOTES =====
→ You can also skip the masking step and just vector validate afterwards, and that works pretty well too.
→ If you do want to mask, make sure to mask both the A and B images, and you probably won't need to do any vector validation afterwards if you're careful. I went through it again doing this, and I got some nice results.
→ I tried to see if there was a way to get rid of the mask when outputting the video, but I wasn't able to find a way to do this. If you figure it out, let me know. If that's not a feature, I might try to go into the code and put that option in myself.
- Thanks again to Jenna and Wayne for their help, which took time away from our coveted Wednesday Ninja Warrior night.
===== PIVLAB =====
→ MATLAB File Exchange
mathworks.com/matlabcentral/fileexchange/27659-pivlab-particle-image-velocimetry--piv--tool
→ PIVLab Website
pivlab.blogspot.com
→ William's YouTube video
youtube.com/watch?v=Sp3Ounq07Qc&t=26s
→ Citations
Thielicke, W. and Stamhuis, E.J. (2014): PIVlab – Towards User-friendly, Affordable and Accurate Digital Particle Image Velocimetry in MATLAB. Journal of Open Research Software 2(1):e30, DOI: dx.doi.org/10.5334/jors.bl
Thielicke, W. and Stamhuis, E. J. (2014): PIVlab - Time-Resolved Digital Particle Image Velocimetry Tool for MATLAB (version: X.XX modify this). dx.doi.org/10.6084/m9.figshare.1092508
Thielicke, W. (2014): The Flapping Flight of Birds - Analysis and Application. Phd thesis, Rijksuniversiteit Groningen. http://irs.ub.rug.nl/ppn/382783069
===== ATTRIBUTION =====
► Force India image
Artes Max, Flickr
flickr.com/photos/105731165@N07
flickr.com/photos/105731165@N07/25768805927
License: creativecommons.org/licenses/by-sa/2.0
► Red Bull Racing promotional video
Aston Martin Red Bull Racing
youtube.com/watch?v=0tEHQJn_hxo
Time: ~3:16 to 3:18
![Explained: Assumptions for Axisymmetric Conical Flow [Taylor-Maccoll]](https://i.ytimg.com/vi/HIDeIZO0z-8/hqdefault.jpg "Explained: Assumptions for Axisymmetric Conical Flow [Taylor-Maccoll]
Its extremely important to understand the assumptions used to derive an equation. This video goes over the assumptions we will be using for the Taylor-Maccoll conical flow problem, and the impact each assumption will have later on in the derivation.")
![Explained: Supercritical Airfoil [Airplanes]](https://i.ytimg.com/vi/HfW5YTjnp8k/hqdefault.jpg "Explained: Supercritical Airfoil [Airplanes]
At transonic speeds, shocks waves form on the wings of an aircraft. Wave drag due to the presence of shocks can become a large portion of the overall drag on the aircraft. A supercritical airfoil can be used to delay the onset of shocks, and thus enable faster cruising speeds.
If you would like some more background on the subject, feel free to watch the following videos.
http://goo.gl/hCKHgf
http://goo.gl/iFxmXs
There are a couple things I want to mention briefly regarding drag. I mentioned the critical Mach number in the video, but neglected to include the drag divergence Mach number. Nothing particularly special happens at the critical Mach number. The shock wave or pressure wave that is formed is actually fairly weak because the flow doesn’t need to slow down too much through the shock wave. There is, however, a freestream Mach number at which the drag starts to suddenly increase quite a bit. This Mach number is the drag divergence Mach number, and is actually more important than the critical Mach number when designing planes. Wave drag occurs due to the presence of shock waves, and as the Mach number increases, wave drag also increases. If you’d like to read some more about the drag divergence Mach number, here are some references to get you started.
Modern Compressible Flow, John D. Anderson, pg. 345
http://en.wikipedia.org/wiki/Drag_divergence_Mach_number
http://www.adl.gatech.edu/research/extrovert/classes/hispd/hispd_notes06.pdf
http://adg.stanford.edu/aa241/drag/cdcintro.html
http://naca.central.cranfield.ac.uk/reports/1947/naca-tn-1396.pdf (pg. 6 under Drag Characteristics)")
![Explained: ASCII Art Creator [MATLAB]](https://i.ytimg.com/vi/Hvz-M73xFt4/hqdefault.jpg "Explained: ASCII Art Creator [MATLAB]
This video details the steps in writing a code that creates an ASCII image from a picture of your choosing. The code is written in MATLAB. The pixel values (0-255) are used to determine the ASCII character to substitute in the picture. The image can be resized in the code for easier viewing.
I use the text editor Notepad++ because it allows me to zoom on the picture. The code also contains a line that resizes the image to make it more manageable.
Here are some things to keep in mind.
1. More ASCII characters can be added to the code, but the intensity variable must also be changed.
2. The characters in the symbols variable are in order of decreasing darkness. That is, the first symbol in the array is the one that appears darkest in the final image, and the last symbol is the one that appears lightest.
3. I chose the resizing values (60 by 200) based on how the final text file fit in Notepad++ when I scrolled to the extent of the window. These values can be played around with and may be different on your computer. Another way to resize the image is to replace the [x,y] part of the imresize function inputs by a single number, for example 0.5. This will scale the picture to 50% of its original size.")
![Explained: Waitbar Color Change [MATLAB]](https://i.ytimg.com/vi/IjkajdAE8vA/hqdefault.jpg "Explained: Waitbar Color Change [MATLAB]
This video shows how you can change the color of your waitbar (progress bar) in your MATLAB code.
Basic waitbar video: http://www.youtube.com/watch?v=k2wKPxRUPiE")
![Vortex Panel Method: Tangential Velocity Geometric Integral [L(ij)]](https://i.ytimg.com/vi/IxWJzwIG_gY/hqdefault.jpg "Vortex Panel Method: Tangential Velocity Geometric Integral [L(ij)]
We just finished the video for the source panel method (SPM), and saw its inherent limitations as we looked at some results for an airfoil. Now, to be able to code up the vortex panel method (VPM), we need to compute geometric integrals similar to those for the SPM. These geometric integrals come from the expressions for the normal and tangential velocity.
In this video, we derive the geometric integral from the tangential velocity expression (Lij). In the next video, we will derive the X and Y velocity expression geometric integrals needed for the streamline calculations, after which we can construct a system of equations to solve for the vortex panel strengths.
RELEVANT VIDEOS
► Panel Methods Playlist
https://www.youtube.com/watch?v=bWjo3N9COz4&list=PLxT-itJ3HGuUDVMuWKBxyoY8Dm9O9qstP
NOTES
- Ill add notes here if I need to.
ERRORS
- If you see an error in the video, please let me know and I will include it here.
REFERENCES
Note: the links are Amazon affiliate links. If you do happen to want to buy the book and use the link below, it helps me out a little.
► Fundamentals of Aerodynamics, Anderson
https://amzn.to/3emVuXU
► Foundations of Aerodynamics, Kuethe and Chow
https://amzn.to/2yMg1Vi
► Theory of Wing Sections, Abbott and Doenhoff
https://amzn.to/2wvZyUt")
![Explained: NACA 4-Digit GUI Part 5/10 [MATLAB]](https://i.ytimg.com/vi/J0L7N7cvk80/hqdefault.jpg "Explained: NACA 4-Digit GUI Part 5/10 [MATLAB]
This is the fifth video in my 10-video series on coding a program in MATLAB to compute, display, and save a NACA 4-digit airfoil.
IN THIS VIDEO:
We code the input for the angle of attack and save file name edit text boxes. The angle of attack text box needs to be converted to a number, while the file name text box can remain a string.
IN THIS SERIES:
Part 1/10 : https://goo.gl/9UBgbo
Part 2/10 : https://goo.gl/jRRcYJ
Part 3/10 : https://goo.gl/rSVLHo
Part 4/10 : https://goo.gl/HwHB39
Part 5/10 : https://goo.gl/AlDne8
Part 6/10 : https://goo.gl/7n1QP7
Part 7/10 : https://goo.gl/nTGleR
Part 8/10 : https://goo.gl/ez247P
Part 9/10 : https://goo.gl/8mXYcc
Part 10/10: https://goo.gl/ovBlbW")
