@benjaminnorris5170

Hello Aidan, a question if I may. 

If one has results generated by a k-omegaSST model, can these be converted into estimates of the dissipation rate (i.e., epsilon) via epsilon = beta * omega * k, where beta is a scalar (0.09), or does the blending that occurs in the SST model complicate this relationship between the terms?

Asking for a friend. Thank you for the great videos, I have learned a lot from your channel. 

Ben

@ownershen97

As people have mentioned, you did a great job explaining the model. Even though I've read few notes about K-w and K-e models, I failed to realize that there were functions that allowed the exchange between the models. Thank you!

Though, perhaps it's a bit out of topic question but, I see that there are 'limiters' and 'corrections' made in the models. A professor of mine  mentioned that due to such dampings available in the models,  it makes them unreliable when you are trying to simulate isotropic/anisotropic  turbulent flows in order to see the propagation of the turbulence.

To be more clear, I've analytically calculated Re stresses and Kinetic Turb. Energy of a flow subjected to axi-symmetric contraction using the equations of Rapid Distortion Theory proposed by Batchelor and his colleagues. Then, I've used such various turbulence models from K-e to RST which yielded significantly different results (way lower Re stress values compared to analytical solution). Do you think the reasion behind such difference is due to the dampings introduced in the models?

Thank you once again.

@vangelissilver4

Exceptional as always.....Man I am putting you on the references of my diploma thesis. You are tremendous, thanks so much

@arun4730

I come here whenever i have an interview. Thank you so much.

@bharathkumargaddameedi3312

What is BST ?

@dermechanika1959

Hello Aidan,

I am currently writing my master thesis on CFD an I can't tell how glad I am that I have found your channel. From my first pay check I am going to buy you a coffee (or 10). Great job and keep this up!

Regards from Germany

@lldnico

你是最棒的！我从没听过如此易懂的底层算法逻辑介绍，感谢您花时间为我们创造这个视频

@sartajahamedrifath3695

Thank you so much for the explanation. it will help me a lot in my thesis.

@petergasparovic8772

Very clear explanation packed in 20 minutes. You inspired me. Thank you.

@reyoumaful

Thank you a lot! Outsanding lectures!

@leesojung1754

Thanks for the video sharing. Easy to understand turbulent models owing to videos in your youtube channel.

@kiemnguyen961

Once again, a Great video! Thanks you!

@citricmint

Thanks a lot for really good explanations, I hope your videos will help me with my exam on turbulence

@rafaortwein6646

Very informative as usual.

@14mahreen

I am just messaging to thank you for this channel and your exceptional videos. Really informative, easy to follow, and the additional reading references at the end of each video are just OUTSTANDING. Thank you so so much for this channel and for taking the time to make these videos. I can't thank you enough. Phenomenal.

@erwinphillipcabanban5582

Hi! I'd just like to say that your videos have been very helpful and intuitive for me. I don't have much background in CFD as it was never really tackled in our university. I just want to say thank you and please continue to do what you are doing, you are amazing!

@nadezhda.f.2012

Thank you very much for your videos! You explanations are very useful for people who are just at the beginning of CFD!

@zaidrehman21

Thanks 🙂 have been binge watching ur videos lately 😅

@shubhamsangodkar6992

Hello Adrian, I'm struggling with the lines you mentioned between 14:19 and 14:33. For me, separation, reminds me of the classic figure of the flow over sphere which people used to describe separation in classrooms. 
1) The separation would depend on the "Molecular Viscosity " of the fluid, but over here we are calculating the "eddy viscosity" . So how is eddy viscosity related to the whole phenomena of separation? I mean I can imagine it helping to re energizing the flow and thus delaying separation, so by reducing "eddy viscosity" are you able to prevent  that ? (thinking out loud)
2) How does reducing "eddy viscosity" mean our shear stress at the wall are going to reduce faster?


P.S (Your videos are amazing , keep them coming , All of us are very grateful to you )

@xchen3132

This video explains the blending funcitons in a so clear way! Thanks a lot!! Recent year, there is a scale-resolving mode called Scale-adaptive Simulation (SAS) based on SST which looks pretty interesting, hopefully you can make another video on that !