Optimizing mesh quality and Y+ layer formation on an FSAE car

[DaleKramer]

@dschroeder

So if i understand you correctly, the fluctuations from the outputs need to be matched with the ORSI results where the exact time step or iteration is showing where we need to take the data from

Yes if we want to visualize images and flow patterns etc (anything in a solution set) at the ORSI values. I think ORSI values most accurately represents the solvers idea of what its best guess at the best solution would be (it is always just guessing)…

@dschroeder

Is the average of these numbers enough or does the “true” value of Cd needs to be matched at where fluctuations are at the 1%, given to us by ORSI.

See my explanation of a ‘visually’ obtained ORSI here

@dschroeder

What you are referring to is when the data output is taken when the simulation times out and the data given could be either at the top or bottom peak of the data oscillation correct?

YES

@dschroeder

Therefore only numerical data can be trusted but the visual indicator of higher magnitude values, like we saw in the 1 layer boundary layer, is not accurate as it could be either the top, bottom, or middle of the oscillating values.

I would say the ‘best curve fitted’ iteration based numerical values could be most trusted, not just numerical data… (I have shown a visual method of curve fitting and we now have ORSI by moving average curve fitting)… Full solutions sets are just snapshots in the guess process…