Great videos and demonstrations! Although I'd caution people about reducing the time scale factor and then calling a simulation converged when the monitors "appear" to begin flatlining because reducing the time scale factor is essentially reducing an implicit underrelaxation factor to improve diagonal dominance in the solution matrix which only delays convergence to increase stability. This solution was stable and there was no need for this. In short reducing this pseudo time step will have the effect of "stretching out" the oscillations in the solution monitor so they may appear to be flatlining but if the solver is allowed to run for another 1000 iterations you may well see significant changes. Also if solution monitors are heavily oscillating this could indicate the flow field is oscillating in and out of particular cells and a steady solver is inappropriate hence reducing the pseudo time step only acts to damp this out and make the solution appear to be steady when it is in fact not.
