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A numerical model of translational and rotational momentum transfer of small on-spherical rigid particles in fluid dominated two-phase flows

A numerical model of translational and rotational momentum transfer of small on-spherical rigid particles in fluid dominated two-phase flows

(Third Party Funds Single)

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Start date: 1. December 2014
End date: 31. January 2020
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Funding source: DFG-Einzelförderung / Sachbeihilfe (EIN-SBH)
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Abstract

The overarching goal of the proposed Mercator project is to establish a numerical model of translational and rotational momentum transfer of small non-spherical rigid particles in fluid dominated two-phase flows. Thereby the main aims are threefold:The first aim is to establish an accurate numerical model for particle-fluid interaction. It will in particular take into account the translational and rotational effects in the fluid flow field, and will put a special focus on the resulting particle rotational motion in terms of the accurate determination of its orientation and angular velocity. Here, the development of an advanced Lagrangian particle tracking algorithm for the tracking of non-spherical particles in a velocity-vorticity resolved fluid flow field and the development of a two-way coupling algorithmwithin a suited BEM framework, based on an advanced source distribution modelwithin the fluid phase, are planned.The second aim is to incorporate non-spherical particle force and torque models to capture the momentum transfer between particles and the fluid flow field. Here special attention will be paid to particle shapes in terms of generic ellipsoidal geometries. In the context of the envisioned rigid body modelling for the particles this will be accompanied by the development of a particle preprocessor in order to provide particle inertia properties.The third aim is to devise accelerated parallel numerical algorithms which will enable accurate and fast computations of the vortical part of the fluid flow field within the previously established BEM framework as well as the efficient solution of the set of DAEs related to the particle motion.The developed algorithms will be validated by comparison with independent computational results and will eventually be applied to the experimentally verified test case of sludge flocsedimentation.

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