Dear Niki,

I have just finished a new test with the 2nd order 0.23million mesh (1.8 
million in pyFR simulation).. I mapped the results from my previous pyfrs 
at 40.95s to the new case starting at t = 0.00s. I used bdf2 in physical 
time marching and Euler in pseudo time marching. Delta_t = 0.0001 and 
Delta_tau = 0.00001. So the pseudo time step is 1 over 10 of the physical 
time step. 10 iteration per physical time step.

I ran that from t = 0 to 9s, and pick up data at t = 8 and 9s. The data 
time interval is 0.01. It seemed still the diffusion part is very stiff to 
converge. (figure attached). The velocity convergence stabled around 0.02.

I post processed the result and compared with the paper one. It is 
acceptably coincided.

Hence, it is quite still very confusing whether diffusion term convergence 
does matter in your ACM.

Very strange thing is that in the last physical time step, the convergence 
suddenly reach a very low level (1e-6 or 1e-5) for both pressure and 
velocity. So how exactly these convergence scheme works?

Best regards,

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