Monte-Carlo simulation of colliding particles or coalescing droplets transported by a turbulent flow in the framework of a joint fluid–particle pdf approach

Fede, Pascal; Simonin, Olivier; Villedieu, Philippe

doi:10.1016/j.ijmultiphaseflow.2015.04.006

Cited by 24 publications

(21 citation statements)

References 60 publications

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“…Basically, particles transported by stationary homogeneous isotropic turbulence follow the Tchen-Hinze theory (Hinze 1972) that entails that the particle kinetic energy is directly linked to the fluid agitation (see for example Zaichik et al 2003;Fede and Simonin 2006) via fluid-particle v elocity c ovariance. H owever, L aviéville e t a l. (1997) and later Fede et al (2015) showed that when inter-particle collisions occur, particle agitation decreases even for elastic collisions. The way that electrostatic forces act on the particles is similar to collisions via the mechanism of Coulomb collisions typically found in cold plasma (Callen 2003).…”

Section: Introductionmentioning

confidence: 97%

Numerical Simulations of Short- and Long-Range Interaction Forces in Turbulent Particle-Laden Gas Flows

Boutsikakis

Fede

Pedrono

et al. 2020

Flow Turbulence Combust

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Section: Introductionmentioning

confidence: 97%

Numerical Simulations of Short- and Long-Range Interaction Forces in Turbulent Particle-Laden Gas Flows

Boutsikakis

Fede

Pedrono

et al. 2020

Flow Turbulence Combust

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“…In such regions, the complex phenomenology of the flow prevents the use of simple SGS models to predict the effect of the unresolved flow scales on crucial phenomena such as dispersion, deposition and resuspension [98]. A common approach, valid also for RANS [30,83], has been to extend models developed for simpler, free-shear flows by incorporating the effect of near-wall gradients of turbulence intensity [81]. As we will try to highlight in the following, however, direct extensions not grounded on well-established first principles may easily produce poor results.…”

Section: Introductionmentioning

confidence: 99%

Large-eddy simulation of turbulent dispersed flows: a review of modelling approaches

Marchioli

2017

Acta Mech

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In large-eddy simulation (LES) of turbulent dispersed flows, modelling and numerical inaccuracies are incurred because LES provides only an approximation of the filtered velocity. Interpolation errors can also occur (on coarse-grained domains, for instance). These inaccuracies affect the estimation of the forces acting on particles, obtained when the filtered fluid velocity is supplied to the Lagrangian equation of particle motion, and accumulate in time. As a result, particle trajectories in LES fields progressively diverge from particle trajectories in DNS fields, which can be considered as the exact numerical reference: the flow fields seen by the particles become less and less correlated, and the forces acting on particles are evaluated at increasingly different locations. In this paper, we review models and strategies that have been proposed in the EulerianLagrangian framework to correct the above-mentioned sources of inaccuracy on particle dynamics and to improve the prediction of particle dispersion in turbulent dispersed flows.

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“…Different kinds of numerical models have been developed to simulate aerosol dynamic processes including coagulation, nucleation, condensation, etc. [4,5].…”

Section: Introductionmentioning

confidence: 99%

A new differentially weighted operator splitting Monte Carlo method for aerosol dynamics

Liu¹,

Chan²

2016

WIT Transactions on Ecology and the Environment

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Monte Carlo method is a stochastic scheme which replicates the formation, transport and dynamic behaviour of simulation particles with stochastic method. It is based on probabilities rather than solving directly the general dynamic equation. Differentially weighted Monte Carlo method is quite efficient and more practical than using the concept of each simulation particle being equally weighted with a number of real particles. In the present study, a new differentially weighted operator splitting Monte Carlo (DWOSMC) method is developed. In order to increase the computational efficiency of simulating the aerosol processes (i.e., nucleation, coagulation and condensation), an operator splitting technique is used to combine stochastic and deterministic methods. This new DWOSMC method is fully validated through four typical cases considering different aerosol dynamic processes. The results obtained from DWOSMC method agree well with the analytical solutions, which proves very high computational efficiency and accuracy of using DWOSMC method in solving simultaneous aerosol dynamic processes.

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Monte-Carlo simulation of colliding particles or coalescing droplets transported by a turbulent flow in the framework of a joint fluid–particle pdf approach

Abstract: OATAO is an open access repository that collects the work of Toulouse researchers and makes it freely available over the web where possible.

Cited by 24 publications

References 60 publications

Numerical Simulations of Short- and Long-Range Interaction Forces in Turbulent Particle-Laden Gas Flows

Numerical Simulations of Short- and Long-Range Interaction Forces in Turbulent Particle-Laden Gas Flows

Large-eddy simulation of turbulent dispersed flows: a review of modelling approaches

A new differentially weighted operator splitting Monte Carlo method for aerosol dynamics

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