[vsammartano]

Hi all.

Lately I am performing an URANS simulation*with a 2-phase fluid. The domain is devided into 2 parts: a steady region and *a rotating region. The interface model is the sliding mesh approach.*The turbulence closure is obtained by the SST-komega model.

I selected a variable time step to achive for each step*a*suitable Courant number.*Observing the convergence history and the time step values, automatically selected during the simulation,*I figured out that up to now (in my case study) the best stability is reached when the Courant number is lower than 1/2. Maybe the problem is a bit diffusive. In few words this means I am working with an average time step of about 10^-8 sec ...*

A week ago I fall into a first order discretization scheme that automatically adjust the time step locally so that the Courant Number is locally limited by an user specified value.Well, once I used this scheme the average time step skipped to about 5*10^-7 sec.*In OpenFOAM this scheme is called CoEuler (in OF2.3, localEuler in OF30x). Up to know I do not find*how does the scheme work.

Could you please tell me where I can find a description of this scheme? papers or books where I can read about this?

Thank you in advance.

Cheers, Vincenzo