Wall functions (or not) using k-omega
 

Hi everyone,

I know that this topic has a lot of threads, but I have some questions that I would solve:

• Which RANS models can be considered as High-Reynolds and which ones as Low-Reynolds? May the use of wall functions be the difference between them?
• If I use k-omega as a High-Re RANS, I should use the functions kqRWallFunction, omegaWallFunction and nutWallFunction. But, if I use it as a Low-Re RANS, should I apply kLowReWallFunction and nutWallFunction, or just as it is said in this link?

Thank you!