A stochastic approach for the simulation of collisions between colloidal particles at large time steps

Henry, Christophe; Minier, Jean-Pierre; Mohaupt, Mikaël; Profeta, Christophe; Pozorski, Jacek; Tanière, Anne

doi:10.1016/j.ijmultiphaseflow.2014.01.007

Cited by 17 publications

(26 citation statements)

References 20 publications

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“…Two types of detection models for particle agglomeration have been used. First, probabilistic collision algorithms are based on the evaluation of the probability of collision between a pair of particles, depending on a number of parameters (initial and final separation distance, diffusion coefficient) [26,27]. Second, mesh-based algorithms consist in treating the collision between all pairs of parcels within a given cell [28,29].…”

Section: Existing Models For Particle Agglomerationmentioning

confidence: 99%

New spatial decomposition method for accurate, mesh-independent agglomeration predictions in particle-laden flows

Rodríguez

Bossy

Maftei

et al. 2021

Applied Mathematical Modelling

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This article presents a new data-driven spatial decomposition algorithm that allows to split a domain containing point particles into elementary cells, each cell containing a spatially-uniform distribution of particles. For that purpose, the algorithm relies on the use of statistical information for the spatial distribution of particles and then extracts an optimal spatial decomposition. After evaluating the convergence and accuracy of the algorithm on homogeneous and inhomogeneous cases, this optimal spatial decomposition is applied to study the case of particle agglomeration. Indeed in CFD context, recent developments on numerical simulations of particle agglomeration in complex and turbulent flows increasingly resort to Euler-Lagrange approaches. These methods are coupled with population balance equation (PBE)-like algorithms to compute agglomeration inside each cell of the Eulerian mesh. One of the key issues with such approaches is related to the respect of the spatially-uniform condition, i.e. agglomeration should be computed on a set of particles that are uniformly distributed locally in each cell. Yet, CFD simulations in realistic industrial/environmental cases often involve non-homogeneous concentrations of particles (due to local injection or accumulation in specific regions). We show that more accurate and mesh-independent predictions of particle agglomeration are made possible by the application of this new data-driven spatial decomposition algorithm.

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Section: Existing Models For Particle Agglomerationmentioning

confidence: 99%

New spatial decomposition method for accurate, mesh-independent agglomeration predictions in particle-laden flows

Rodríguez

Bossy

Maftei

et al. 2021

Applied Mathematical Modelling

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“…For the case of inertialess particle-wall collisions in a stochastic modelling framework, Dreeben & Pope (1998) proposed a method for dealing with this effect. Henry et al (2014) proposed a model for collisions between inertial particles in a stochastic framework. In the present work, because of the relatively moderate Re τ (time-scale separation) along with the St + 1 values used, t WMLES /τ p 1 so that these effects are not crucial at present.…”

Section: Modelling and Simulation Detailsmentioning

confidence: 99%

Turbophoresis of small inertial particles: theoretical considerations and application to wall-modelled large-eddy simulations

2019

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“…particles) after a simulation timeInfluence of the normal restitution coefficient, n e , for particle-particle interaction on time evolution of the population of single and multiple particles. Line numbers: single (1), double (2), triple (3), quadruple (4), quintuple(5…”

mentioning

confidence: 99%

“…Particle agglomeration is affected by the interplay between two physically independent processes, manifested in three distinct steps 5 : the transport step, governed by the hydrodynamic transport of particles, the collision step, where inter-particle collisions occur, and the adhesion step, governed by the physicochemical interactions between two bodies resulting in the colliding particles either sticking together or bouncing off one another 6,7 . These steps leading to agglomeration have long been used in the framework of fouling studies.…”

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confidence: 99%

Simulation of deterministic energy-balance particle agglomeration in turbulent liquid-solid flows

Njobuenwu

Fairweather

2017

Physics of Fluids

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An efficient technique to simulate turbulent particle-laden flow at high mass loadings within the four-way coupled simulation regime is presented. The technique implements large-eddy simulation, discrete particle simulation, a deterministic treatment of inter-particle collisions and an energy-balanced particle agglomeration model. The algorithm to detect inter-particle collisions is such that the computational costs scale linearly with the number of particles present in the computational domain.On detection of a collision, particle agglomeration is tested based on the pre-collision are more frequent and efficient in forming agglomerates than those of coarser particles.The particle-particle interaction events show a strong dependency on the shear Reynolds number Re , while increasing the particle concentration effectively enhances particle collision and agglomeration whilst having only a minor influence on the agglomeration rate. Overall, the sensitivity of the particle-particle interaction events to the selected simulation parameters is found to influence the population and distribution of the primary particles and agglomerates formed.2

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A stochastic approach for the simulation of collisions between colloidal particles at large time steps

Cited by 17 publications

References 20 publications

New spatial decomposition method for accurate, mesh-independent agglomeration predictions in particle-laden flows

New spatial decomposition method for accurate, mesh-independent agglomeration predictions in particle-laden flows

Turbophoresis of small inertial particles: theoretical considerations and application to wall-modelled large-eddy simulations

Simulation of deterministic energy-balance particle agglomeration in turbulent liquid-solid flows

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