An Euler-Euler model for mono-dispersed gas-particle flows incorporating electrostatic charging due to particle-wall and particle-particle collisions

Ray, M.; Chowdhury, F.; Sowinski, Andrew; Mehrani, Poupak; Passalacqua, Alberto

doi:10.1016/j.ces.2018.12.028

Cited by 29 publications

(20 citation statements)

References 62 publications

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“…Previous studies (Kolehmainen et al 2018; Ray et al 2019) have chosen to neglect the effect of the Coulomb interaction when two particles are colliding. This assumption is valid for rapid granular flow where the kinetic energy of particles is much greater than their electric energy.…”

Section: Particle Dynamicsmentioning

confidence: 99%

“…The results showed that this new formulation was in better agreement with DEM simulations. More recently, Ray et al (2019) extended this modelling approach by accounting for the charge–velocity correlation in order to derive a kinetic dispersion coefficient. The authors also derived the charge variance equation in order to fully close the mean charge transport equation.…”

Section: Introductionmentioning

confidence: 99%

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Modelling of the mean electric charge transport equation in a mono-dispersed gas–particle flow

2020

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Section: Particle Dynamicsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Modelling of the mean electric charge transport equation in a mono-dispersed gas–particle flow

2020

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“…The Lagrange method takes the particles as the description object and tracks the trajectory and velocity of every particle [15,16]，but it's heavy computation burden. The Euler method takes the spatial position as the description object and records the velocity of the particle that occupies a specific spatial position at a specific time [17]. This method has a small amount of computation, but can't track the trajectory of every particle.…”

Section: Introductionmentioning

confidence: 99%

Modeling of soot particle collision and growth paths in gas-solid two-phase flow

2021

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Particle collision is an important process in soot particle growth. In this research, based on gas-solid two-phase flow, particle trajectory was traced by the Lagrange approach with periodic boundaries. Trajectory intersection, collision probability, and critical velocity were considered, and the growth path of each particle was traced. The collision frequency (fc), agglomeration frequency (fa), and friction collision frequency (ffc) were calculated, and the main influence factors of particle collision were analyzed. The results showed that fc, fa, fa/fcincreased with the increase of the particle volume fraction and gasphasevelocity(v), but the particle initial diameter (dpi) andvhad the great influence on fa/fc. fa/fcobviously decreased with the increase of dpiand v.The statistical analysis of fa/fcand Stokes number showed that fa/fcdecreased with the increase of Stokes number, especially when stokes number was extremely small, fa/fcdecreased rapidly. Using the trajectory analysis of each particle, the particle growth process could be classified in three types: firstly, the particles that did not agglomerate with any particles during the entire calculation process; secondly, the particles that continually agglomerated with small particles to generate larger ones; and finally, the particles that were agglomerated by larger particles at some calculation moment.

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“…In the subsequent study, they applied the particle charge densities measured experimentally to the simulations and the results showed the height of the wall coatings coincided with experiments. Recently, this model was improved by Ray et al with submodels of charge transfer due to particle‐wall collisions and particle–particle collisions. The simulated charge densities and particle adhesion agreed with the experiments.…”

Section: Introductionmentioning

confidence: 99%

Electrostatic effects on hydrodynamics in the riser of the circulating fluidized bed for polypropylene

Lou

Yang

et al. 2020

AIChE Journal

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Electrostatic potential in the multizone circulating fluidized bed (CFB) reactor for polypropylene is measured even larger than 1,000 V. In this article, electrostatic effects on hydrodynamics in the riser of CFBs were studied via experiment and computational fluid dynamic simulation. Experimental results showed electrostatics increased solids holdup in the riser for more than 20% in fast fluidization. Using measured charge densities as electrostatic model parameters, electrostatic effects were simulated by two‐fluid model coupled with electrostatics accurately. The relative deviation between measured and simulated solids holdup was 3.53% at 5.68 m/s, which was the first time that this mode was verified quantitatively. Further analysis of simulation results demonstrated the mechanism of electrostatic effects was that the electrostatic forces increased the radial particle velocity and induced particle accumulation near the wall, leading to the increase of solids holdup. These electrostatic effects are more significant in the dense‐phase region, which require special care.

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An Euler-Euler model for mono-dispersed gas-particle flows incorporating electrostatic charging due to particle-wall and particle-particle collisions

Cited by 29 publications

References 62 publications

Modelling of the mean electric charge transport equation in a mono-dispersed gas–particle flow

Modelling of the mean electric charge transport equation in a mono-dispersed gas–particle flow

Modeling of soot particle collision and growth paths in gas-solid two-phase flow

Electrostatic effects on hydrodynamics in the riser of the circulating fluidized bed for polypropylene

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