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QGDsolver - OpenFOAM computational framework for fluid flows based on regularized equ |
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May 25, 2020, 12:41 |
QGDsolver - OpenFOAM computational framework for fluid flows based on regularized equ
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#1 |
Senior Member
Matvey Kraposhin
Join Date: Mar 2009
Location: Moscow, Russian Federation
Posts: 355
Rep Power: 21 |
QGDsolver is OpenFOAM framework for simulation of fluid flows using regularized equations approach. It contains library for approximation of partial derivatives at face centers of unstructured grids and a set of OpenFOAM solvers:
Generally speaking, QGD/QHD framework offers an alternative to PISO/SIMPLE and Riemann-solvers approach to simulate various flow phenomena on unstructured grids. And sometimes it could be superior comparing to mentioned techniques. The framework could be downloaded HERE: https://github.com/unicfdlab/QGDsolver The presentation covering some theory and basics of the implemeted approach could be downloaded HERE: https://github.com/unicfdlab/QGDsolver/blob/master/qgd-framework-2020-final.pdf Please, do not hesitate to ask for assistance on how to setup the case or on how to derive new equations for your problem using regularized hydrodynamic approach
__________________
MDPI Fluids (Q2) special issue for OSS software: https://www.mdpi.com/journal/fluids/..._modelling_OSS GitHub: https://github.com/unicfdlab Linkedin: https://linkedin.com/in/matvey-kraposhin-413869163 RG: https://www.researchgate.net/profile/Matvey_Kraposhin Last edited by mkraposhin; May 26, 2020 at 04:15. |
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October 2, 2020, 08:43 |
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#2 |
Senior Member
Matvey Kraposhin
Join Date: Mar 2009
Location: Moscow, Russian Federation
Posts: 355
Rep Power: 21 |
The lectures with tutorials dedicated to incompressible flows and incompressible flows with particles are available on GitHub: https://github.com/unicfdlab/Trainin...HDFoam-OFv1912
__________________
MDPI Fluids (Q2) special issue for OSS software: https://www.mdpi.com/journal/fluids/..._modelling_OSS GitHub: https://github.com/unicfdlab Linkedin: https://linkedin.com/in/matvey-kraposhin-413869163 RG: https://www.researchgate.net/profile/Matvey_Kraposhin |
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August 5, 2021, 04:01 |
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#3 |
New Member
TANG YI HSIN
Join Date: Nov 2020
Posts: 4
Rep Power: 6 |
Hello, Mr. Kraposhin,
After reading the information about QGDFoam, I want to use this solver you develop to simulate some cases. However, I encounter some problems during operating. The following questions are which I want to ask: 1. According to The new OpenFOAM computational framework for fluid flows based on regularized equations, it tells me that the default value for alphaQGD is 0.5, ScQGD is 1, to set custom values, create files “alphaQGD” and “ScGQD” in the folder “0/”. If I do so, do I need to set the value of ScQGD in thermophysicalPreperties document? 2. How is QGDFoam work with turbulent models? I wonder if using QGDFoam to simulate turbulent flow, is there anything I need to be careful with? Or any specific steps are different from the operation which I implement when using rhoCentralFoam? Kind regards, Y.H. |
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August 5, 2021, 12:53 |
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#4 | |
Senior Member
Matvey Kraposhin
Join Date: Mar 2009
Location: Moscow, Russian Federation
Posts: 355
Rep Power: 21 |
Hello, when you set alphaQGD and ScQGD in 0/ folder, values from thermophysicalProperties file are not used definitely. But maybe they are required for consistency.
The second question is interesting, because QGD equations are derived from averaging over small time-interval and therefore, they might behave similarly URANS/LES. On the other hand, the averaging procedure and rules are slightly different from Reynolds or Favre averaging and thus, a different system of equations is derived. I think, if we apply this averaging to URANS, we arrive to QGD/URANS approach with similar closure relations for Reynolds tensor. For the QGD procedure you can refer to "Time Averaging as an Approximate Technique for Constructing QuasiGasdynamic and QuasiHydrodynamic Equations" by T.G. Elizarova DOI: 10.1134/S0965542511110078 I've used k-w SST + wall functions and other OpenFOAM models with QGDFoam and they have produced qualitatively similar to URANS results. Quote:
__________________
MDPI Fluids (Q2) special issue for OSS software: https://www.mdpi.com/journal/fluids/..._modelling_OSS GitHub: https://github.com/unicfdlab Linkedin: https://linkedin.com/in/matvey-kraposhin-413869163 RG: https://www.researchgate.net/profile/Matvey_Kraposhin |
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August 6, 2021, 02:06 |
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#5 |
New Member
TANG YI HSIN
Join Date: Nov 2020
Posts: 4
Rep Power: 6 |
Hello, Mr. Kraposhin,
Thanks for your quick reply. Your answer helps me a lot with my simulation. I will refer to your opinion on continuing my simulation. Thank you very much. Best regards, Y.H |
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September 9, 2021, 04:43 |
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#6 |
New Member
TANG YI HSIN
Join Date: Nov 2020
Posts: 4
Rep Power: 6 |
Hello, Mr. Kraposhin,
Recently, I'm testing tuning parameters of QGDFoam in the thermophysicalProperties document and encountering a question. There is a lot of information about alpha and ScQGD, but less about PrQGD. Therefore, I would like to ask about the relationship between PrQGD and other parameters. I look forward to hearing from you. Best regards, Y.H. |
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September 10, 2021, 11:07 |
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#7 |
Senior Member
Matvey Kraposhin
Join Date: Mar 2009
Location: Moscow, Russian Federation
Posts: 355
Rep Power: 21 |
Hi,
normally, you shouldn't change value of PrQGD coefficient, because artificial heat conductivity is determined by artificial viscosity which is controlled by \tau parameter, which in its turn is already adjusted with ScQGD. But if you want to adjust settings for the numerical diffusion directly for energy, you can change PrQGD. Or, if you want to simulate flows with wall heat flux, then you may need to set PrQGD to large values on walls. I can also recommend you to read this paper: Elizarova T.G., Shil'nikov E.V. (2009) Capabilities of a Quasi-Gasdynamic Algorithm as Applied to Inviscid Gas Flow Simulations, J. Computational Mathematics and Mathematical Physics, 2009, vol. 49, No 3, pp. 532-548 where PrQGD was changed to 0.001 to reduce unphysical oscillations near discontinuity. The approach in the article is efficient, but it doesn't seems to be universal: you may benefit from it in one part of a domain and may loose some important features of your solution in another part of a domain. p { margin-bottom: 0.1in; line-height: 115%; background: transparent }
__________________
MDPI Fluids (Q2) special issue for OSS software: https://www.mdpi.com/journal/fluids/..._modelling_OSS GitHub: https://github.com/unicfdlab Linkedin: https://linkedin.com/in/matvey-kraposhin-413869163 RG: https://www.researchgate.net/profile/Matvey_Kraposhin Last edited by mkraposhin; September 13, 2021 at 06:11. |
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September 13, 2021, 04:09 |
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#8 |
New Member
TANG YI HSIN
Join Date: Nov 2020
Posts: 4
Rep Power: 6 |
Hi, Mr. Kraposhin,
your answer helps me to have more realization about PrQGD. Thank you very much. At the present stage, I haven't considered heat flux yet. Therefore, I will follow your recommendation to keeping PrQGD equal to 1. Best Regards, Y.H. Last edited by Y.H; September 14, 2021 at 01:11. |
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