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What parameters can be used for processing aeroacoustics in a DES CFD simulation ?

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Old   March 22, 2018, 04:19
Question What parameters can be used for processing aeroacoustics in a DES CFD simulation ?
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I am going to simulate a 2D aeroacoustics simulation in Fluent using a DES model on a stator. Actually, the simulation should be performed on a complete 3D rotor-stator setup but due to some limitations, I dont have access to the rotor geometry and computing power. A simplified model of my setup is shown in the attached picture.

I have been searching for parameters that I can extract from the DES simulations. These are the following parameters that I can think of:

1)A common parameter is the FFT of pressure data recorded in the wake region of the blade. Using FFT, I want to see if I can see tonal noise peaks or broadband peaks. Based on these observations I can characterize the sound sources such as vortex shedding or just random turbulence.

2) Another parameter that I have come across is the sound pressure which can be calculated by subtracting the instantaneous pressure from the average pressure. How this can be done in Fluent, I am not sure.

3) The other is " divergence of velocity" or dilatation contours. I found it in this article:
I am not able to understand what's the significance of this parameter.

4) Another quantity that can be visualized is the normalized Q-criterion, but this will be good to see the turbulence sources and not aeroacoustics as such.

5) Also, I was wondering if one can actually extract the noise from a pressure signal at a point so that you can hear it. I came across this in the STAR-CCM+s user guide some time ago and they say that it can be done. The guide mentioned that that one needs to perform inverse FFT of the signal.

Perhaps, people with experience in aeroacoustics can suggest me any additional parameters that can be used. Although the near-field region sound is of interest and not far-field, I am open to using the FW-H model if it provides additional insights.

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aeroacoustics, des turbulence model, fluent, fourier transform

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