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September 4, 2024, 06:57 |
Pedaling Cyclist
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#1 |
New Member
Clément Pélissier
Join Date: May 2023
Posts: 5
Rep Power: 3 |
Dear all,
I developped a Python Dynamic Mesh Code to automatise OpenFOAM simulations in order to simulate a pedaling cyclist using, in particularly, mapFields function. The simulation I am talking about is computed using a coarse mesh with a level (4 4) for the cyclist patches. The turbulence model is k-omega SST SAS. SAS because I used a dynamicMeshDict to ensure continuity between all the images of the pedaling cycle. An image is calculated over 0.0025s, where dynamicMeshDict is used with kinematic data (6DoF data), and the link between all images is made by mapFields. However, when I look at my results, the drag coefficient decreases infinitely over time as if the inlet velocity changes over the time but it is not the case. It seems like the energy conservation is not respected but it is impossible. So where does the energy can go ? Do you have some ideas ? Perhaps some of you have had similar experiences in unsteady simulation? What's more, the residuals look normal, and there's no divergence of velocity or pressure in the logs. Thank you for your help and your time, Sincerely, Clément |
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Tags |
dynamicmesh, k-omega sst sas, mapfields, pedaling cyclist |
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