Lagrangian predictions of the dispersion of heavy particles in a dilute two-phase flow: on the inertia effect

Launay, Karine; Huilier, Daniel; Burnage, H.

doi:10.1016/s0093-6413(98)00035-4

Cited by 6 publications

(6 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We consider here an extension of the EIM initiated by Burnage and Moon [91] and furthermore developed by Huilier et al [93,133,[175][176][177]. The eddy lifetime and the eddy length are distributed randomly according to exponential probability distribution functions with average values respectively equal to the fluid Lagrangian integral time scale T L in Section 4.1.1 and to the Lagrangian time proposed by Wang and Stock in the Appendix A in Section 4.1.2; for the length scale related to the eddy lifetime, the transverse Eulerian integral length scale L E was used.…”

Section: Eim-drw Resultsmentioning

confidence: 99%

“…The shortcomings of the method are due to the fact that the heavy particle will interact with an eddy during a given time, the maximum of which is normally the eddy life (taken as the Lagrangian scale T L ). Major modifications were brought to Monte-Carlo approaches by Huang et al [179], Graham [95][96][97], Launay et al [176,177], among others, and some eddyparticle interaction models tried to better take into account the space-time characteristics of the effective fluid turbulence controlling the particle motion, to better simulate the so-called "true turbulence experienced by the particle'. "…”

Section: Conclusion On Eim-drw Monte-carlo Methodsmentioning

confidence: 99%

See 1 more Smart Citation

An Overview of the Lagrangian Dispersion Modeling of Heavy Particles in Homogeneous Isotropic Turbulence and Considerations on Related LES Simulations

Huilier

2021

Fluids

View full text Add to dashboard Cite

Particle tracking is a competitive technique widely used in two-phase flows and best suited to simulate the dispersion of heavy particles in the atmosphere. Most Lagrangian models in the statistical approach to turbulence are based either on the eddy interaction model (EIM) and the Monte-Carlo method or on random walk models (RWMs) making use of Markov chains and a Langevin equation. In the present work, both discontinuous and continuous random walk techniques are used to model the dispersion of heavy spherical particles in homogeneous isotropic stationary turbulence (HIST). Their efficiency to predict particle long time dispersion, mean-square velocity and Lagrangian integral time scales are discussed. Computation results with zero and no-zero mean drift velocity are reported; they are intended to quantify the inertia, gravity, crossing-trajectory and continuity effects controlling the dispersion. The calculations concern dense monodisperse spheres in air, the particle Stokes number ranging from 0.007 to 4. Due to the weaknesses of such models, a more sophisticated matrix method will also be explored, able to simulate the true fluid turbulence experienced by the particle for long time dispersion studies. Computer evolution and performance since allowed to develop, instead of Reynold-Averaged Navier-Stokes (RANS)-based studies, large eddy simulation (LES) and direct numerical simulation (DNS) of turbulence coupled to Generalized Langevin Models. A short review on the progress of the Lagrangian simulations based on large eddy simulation (LES) will therefore be provided too, highlighting preferential concentration. The theoretical framework for the fluid time correlation functions along the heavy particle path is that suggested by Wang and Stock.

show abstract

Section: Eim-drw Resultsmentioning

confidence: 99%

Section: Conclusion On Eim-drw Monte-carlo Methodsmentioning

confidence: 99%

An Overview of the Lagrangian Dispersion Modeling of Heavy Particles in Homogeneous Isotropic Turbulence and Considerations on Related LES Simulations

Huilier

2021

Fluids

View full text Add to dashboard Cite

show abstract

“…Hagiwara et al [13], Singh et al [16], Sato et al [14] present the particle behaviour concerning the phase interaction, or turbulence, or heat transfer. Lagrangian methods are still the main approach for particle tracking calculations [17][18][19][20]. Liu et al [21] use a second order momentum turbulence model with the stochastic Monte-Carlo scheme to solve gas-particle flows.…”

Section: Discrete Phase Method-lagrangian Approachmentioning

confidence: 99%

Numerical and experimental investigation of the morphology development of expansion clouds by a powder jet flow

Tang

Anjorin

Morgan

et al. 2004

Fire Safety Journal

View full text Add to dashboard Cite

Explosion suppression is often the preferred method of explosion attenuation in industry. The morphology development of suppression clouds is important for the design of necessary coverage of the product. This paper presents a numerical and experimental investigation of the growth of powder dispersion as it expands from a discharge nozzle. A Lagrangian stochastic particle-tracking approach and the RNG k-ε turbulence model are adopted in the flow field solver for the dispersed and

show abstract

“…In the discrete particle model, the particles are influenced through a series of interactions with the continuous phase. The inertia effect, for example, was studied by Launay et al [11] in a homogeneous, isotropic turbulent flow.…”

Section: Discrete Particle Modelmentioning

confidence: 99%

Simulations of multiphase reactive flows in fluidized beds using in-situ adaptive tabulation method

Xie¹

View full text Add to dashboard Cite

Lagrangian predictions of the dispersion of heavy particles in a dilute two-phase flow: on the inertia effect

Cited by 6 publications

References 10 publications

An Overview of the Lagrangian Dispersion Modeling of Heavy Particles in Homogeneous Isotropic Turbulence and Considerations on Related LES Simulations

An Overview of the Lagrangian Dispersion Modeling of Heavy Particles in Homogeneous Isotropic Turbulence and Considerations on Related LES Simulations

Numerical and experimental investigation of the morphology development of expansion clouds by a powder jet flow

Simulations of multiphase reactive flows in fluidized beds using in-situ adaptive tabulation method

Contact Info

Product

Resources

About