Grid Independency Study
Hope people those are living in the UK are still able to run their simulations safely in their workplaces :) while the riots are happening all over the island. I am in Brighton and luckily there is no sign of these nonsense anti-social behaviour, not yet!
I am a newbie to CFD and Fluent. My research lies on CFD anyway, I am trying to run some demo simulations and grid independency study.
I use a simple hexahedral cell (a cube) and reduce the size until the results do not change with the further reduction of the cell's size - am I doign this correctly?
Let's say, if I have eventually come to the final minimum size that the results do not further change, with the exactly the same geometry, can I use this final cell size as a reference and then run other simulations but with different operating conditions (parametric study?) Or do I need to find the minimum cell size at every single simulation when the operating conditions are changed?
Sorry for my poor English if you cannot understand my words... :p
Hi, in my opinion, there is a most appropriate grid density for one geometric model. Before the simulation, we should do grid independence research because the quality of grid can influence convergence speed and the computation precision.(the time consumpution of pre-process should take up 40% of the whole simulation)
You can create several models of different grid numbers with a certain proportion. Then go to caculate them respectively with the same condition setting. We can draw a curve with convergence iterations VS. grid density, choose the best one with the comprehensive consideration of accuracy and time requirement.
Once you choose a best grid density for a geometric model, you can use this grid to go to run other function simulations unless your geometric model will be changed.
May be useful for you!
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