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Particle agglomeration in flows: fast D2SD algorithm for CFD simulations

Kerlyns Martínez Rodríguez 1, 2, * Mireille Bossy 1 Christophe Henry 1
* Corresponding author
1 CALISTO - Stochastic Approaches for Complex Flows and Environment
CEMEF - Centre de Mise en Forme des Matériaux, CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : Computational fluid dynamics simulations in practical industrial/environmental cases often involve non-homogeneous concentrations of particles. In turns, this induces the propagation of numerical error when using population balance equation (PBE)-like algorithms to compute agglomeration inside each cell of an Eulerian mesh. In this article, we apply the data-driven spatial decomposition (D2SD) algorithm to control such error in simulations of particle agglomeration. Significant improvements are made to design a fast D2SD version, minimizing the additional computational cost by developing re-meshing criteria. Through the application to some practical simulation cases, we show the importance of splitting the domain when calculating agglomerations, so that within each elementary cell there is a spatially uniform distribution of particles.
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Contributor : Mireille Bossy <>
Submitted on : Thursday, March 25, 2021 - 11:22:05 AM
Last modification on : Saturday, March 27, 2021 - 3:09:36 AM


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  • HAL Id : hal-03180740, version 1


Kerlyns Martínez Rodríguez, Mireille Bossy, Christophe Henry. Particle agglomeration in flows: fast D2SD algorithm for CFD simulations. 2021. ⟨hal-03180740⟩