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A Mesh Adaptation Strategy to Predict Pressure Losses in LES of Swirled Flows

Daviller, Guillaume and Brebion, Maxence and Xavier, Pradip and Staffelbach, Gabriel and Müller, Jens-Dominik and Poinsot, Thierry A Mesh Adaptation Strategy to Predict Pressure Losses in LES of Swirled Flows. ( In Press: 2017) Flow Turbulence and Combustion. ISSN 1386-6184

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Official URL: http://dx.doi.org/10.1007/s10494-017-9808-z

Abstract

Large-Eddy Simulation (LES) has become a potent tool to investigate instabilities in swirl flows even for complex, industrial geometries. However, the accurate prediction of pressure losses on these complex flows remains difficult. The paper identifies localised near-wall resolution issues as an important factor to improve accuracy and proposes a solution with an adaptive mesh h-refinement strategy relying on the tetrahedral fully automatic MMG3D library of Dapogny et al. (J. Comput. Phys. 262, 358-378, 2014) using a novel sensor based on the dissipation of kinetic energy. Using a joint experimental and numerical LES study, the methodology is first validated on a simple diaphragm flow before to be applied on a swirler with two counter-rotating passages. The results demonstrate that the new sensor and adaptation approach can effectively produce the desired local mesh refinement to match the target losses, measured experimentally. Results shows that the accuracy of pressure losses prediction is mainly controlled by the mesh quality and density in the swirler passages. The refinement also improves the computed velocity and turbulence profiles at the swirler outlet, compared to PIV results. The significant improvement of results confirms that the sensor is able to identify the relevant physics of turbulent flows that is essential for the overall accuracy of LES. Finally, in the appendix, an additional comparison of the sensor fields on tetrahedral and hexahedral meshes demonstrates that the methodology is broadly applicable to all mesh types.

Item Type:Article
Additional Information:Thanks to Springer editor. The final publication is available at Springer via http://dx.doi.org/10.1007/s10494-017-9808-z
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UPS (FRANCE)
Other partners > Queen Mary University of London - QMUL (UNITED KINGDOM)
Laboratory name:
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Deposited By: Thierry POINSOT
Deposited On:05 Apr 2017 12:11

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