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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
→ PIVLab Website
→ William's YouTube video
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: http://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). http://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
► Red Bull Racing promotional video
Aston Martin Red Bull Racing
Time: ~3:16 to 3:18