Hi @vetrikopola, I am glad you enjoyed the video! I never used Taichi before but from what I see it seems to be perfect for this kind of computationally intensive project.

@@beniamkumela Oh yes its perfect for this kinda stuff :) I m sure u will enjoy it

Hi @IAmSilverLight, I am so glad that you found this video helpful. Thank you for subscribing!

Hi @StarFury2, Thank you for watching the video! I meant this to be a theory overview video and highlight the results from the simulations that I implemented in Python (github.com/Beniam-Kumela/fluid-sim-py). Would you like to see a more programming-focused video in the future?

@@beniamkumela Yes please it will help a lot of undergrad/Master/even Ph.D. students how to write FEA CFD codes I would appreciate it if u make more videos programing focused.

Hi @blueman69-x2o, I am glad that you enjoyed the video!

Hi @BKataN, I'm glad you enjoyed the video! I definitely agree - there is something satisfying about being able to accurately capture something seemingly chaotic and unpredictable like fluid motion.

Hi @Dr_Larken, I'm so glad you enjoyed the video, and really appreciate your interest in subscribing! You're right - this is more of a side project at the moment, which is why my upload schedule isn't super consistent. These videos do take a while to make (reading material, preparing simulations, editing, etc.), but I'm definitely planning to keep uploading. My next ones will focus on machine learning, so stay tuned! Thanks again for your support!

Hi @ajred0581, Thank you for the kind words! I am glad that you enjoyed the video.

Hi @txb6651, I am glad that you learned a lot from my video. Let me know how your project turns out!

Hi @vergelab3399, Thank you for watching the video!

Hi @bigopizza, Thank you for watching the video! The audio in the beginning is royalty-free given here: pixabay.com/music/beats-night-detective-226857/

3blue1brown inspired piano background music

Hi @jsu-oz1fo, Thank you for watching the video! You should be able to install OpenFOAM through the Windows Subsystem for Linux (WSL). You can install WSL using the following link: learn.microsoft.com/en-us/windows/wsl/install. Then you can install OpenFOAM using the following link: www.openfoam.com/download/openfoam-installation-on-windows-10.

@@beniamkumela I am saying if this python version or a different version is available on windows by deafult it will make our entire humanity better

@@jsu-oz1fo I agree with this for OpenFOAM. You can actually download my application without Python installed in your system (native Windows support) by following the instructions in this link: github.com/Beniam-Kumela/fluid-sim-py. Let me know if it works.

Hi @carlgeorgbiermann2915, Thank you for watching the video! Yes, the simulation is currently in 2D but it is relatively straightforward to extend it to 3D - provided that you are using a framework that supports 3D rendering.

Why i ls python bad

Hi @sanyi9667, Thank you for watching the video! I see what you are saying about the title. I wanted to simply review the methods used to create your own CFD simulation while emphasizing that I implemented my simulation in Python. If you are interested in this implementation it can be found with instructions in my GitHub repository: github.com/Beniam-Kumela/fluid-sim-py.

Hi @maryamare6411, I am glad you liked the video!

Hi @Sean-xn2be, I am glad you liked the video! All of the code used in the simulation was written in Python. You can actually download the application and try it out yourself by following the instructions in this link: github.com/Beniam-Kumela/fluid-sim-py. A well cited paper on CFD (a little math-heavy) is given in the following link: pages.cs.wisc.edu/~chaol/data/cs777/stam-stable_fluids.pdf. And of course, no better coffee than the source!

Hi @talktofrogs2479, I am glad you enjoyed the video! Yes, making sure that your turbine geometry enables laminar flow would be useful before trying it experimentally. The method I present has the drawback of not being very accurate for such precise calculations due to numerical dissipation. It seems like you might be interested in commerical CFD software like OpenFoam (www.openfoam.com/). They seem to have a lot of tutorials and people who have actually tried simulating Tesla turbines (2D:kzbin.info/www/bejne/ZoS1c2CBnbmmgrc, 3D:kzbin.info/www/bejne/a5zLlGSqbLKeZ9k). Good luck and let me know how your project turns out!

@@beniamkumela that's very helpfull thanks a lot ♥️♥️♥️

Hi @abrehamtilahun4820, I am glad you liked the video!

yeah it is but the mass doesnt change, so he doesnt even bother with it

@StojanBarbaric Maybe he assumed that the mass is 1.

Hi @PMA_ReginaldBoscoG, Thank you for watching the video and your comment! Yes, you are right that F=dp/dt. Expanding this gives F = d(mv)/dt. Since mass is conserved in our simulation (as per first Navier-Stokes equation), it can be taken out of the derivative, leaving F = m * dv/dt = m * a, Newton's second law. This means only the velocity changes over time, while mass remains constant, so we don't need to explicitly assign it a value as @StojanBarbaric suggests.

The question posed is a legitimate one as Newton himself stated the second law as the rate of change of motion. Motion in his terms was what we call momentum today, mv. However, when you keep m constant, the F that causes motion is due to the rate of change of v.

Hi @sebastians7346, Thanks so much for the kind words! Actually if these kind of videos interests you, most of my channel is actually dedicated to mimicking the real world through computer simulations.

Hi @flyinglack, I am glad you enjoyed the video!

Hi @Light-Eater, I absolutely agree with this, I will try to slow down next video. Thank you so much for watching and providing your feedback - it's really helpful as I'm still learning what works best for my audience!

Hello @richardhu5508! Thank you for watching the video. Are you referring to the thumbnail or something else within the video? The thumbnail can be found in this link: en.wikipedia.org/wiki/File:DPLE.jpg.

Your supposed to say this also in description

IF U LOOK AT THIS YOUR GAY

Thanks man

Facts

Thanks Zain appreciate the support for the channel and realizing my talent when so early in my career.