Pre-processing

In this post, the kinetic energy is monitered and the turbulentInlet condition is explained. We cannot use Reynolds averaged profile as inlet, because it is only seen by time average.

While monitering kinetic energy of all flow (not just the turbulent part), when this value tends to some stable state the mean and the turbulent part is then established.

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The problem of this is that groovy can impose an inlet profile but cannot take data downstream (this is the main difficulty) and then rescale to the entry. Adding fluctuation is straight forward.

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snappyHexMesh ..........

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In Pointwise : Database => connectors => domain => block

CAE : choose solver OpenFOAM

CAE : set Boundary Condition

Choose blocks and File -> export CAE

If the scale is not right :

transformPoints -scale '(0.001 0.001 0.001)' or -translate or -rotate

prism

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