Effects of particle size and region width on the mixing and dispersion of pebbles in two-region pebble bed

Hao, W.; Gui, Nan; Yang, Xingtuan; Tu, Jiyuan; Jiang, Shengyao

doi:10.1007/s10035-016-0672-7

Cited by 20 publications

(2 citation statements)

References 28 publications

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“…Because of the inherent safety of the fourth-generation reactor, even if an accident occurs, the temperature inside the reactor will not exceed the limit temperature of the particles (Jiang et al, 2019). At present, the particle flow based on the DEM is mainly concentrated on spherical particles (Gui et al, 2016;Wu et al, 2016;, and there is not much research on nonspherical ones. This paper studies the motion of non-spherical particles in a cone-shaped funnel.…”

Section: Introductionmentioning

confidence: 99%

Numerical Study on Discharging Characteristics of Entangled Cluster of Particles in Particle Bed

Huang

Ge²,

Gui³

et al. 2021

Front. Energy Res.

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To better understand the flow features of the particle cluster in a particle bed, discharging of the particle entangled cluster is simulated by the discrete element method (DEM). The particle entangled cluster is composed of eight particles connected by rigid bonds, and the simulated entangled cluster models are divided into two types: axisymmetric u-particles and distorted z-particles. The simulation starts with the closed discharge outlet, and the bonded clusters with different IDs are randomly added from the entrance section. The particles fall freely and accumulate freely in the particle bed. The discharge hole opens after all the particles are stationary for a period. Then, the particles are discharged from the particle bed under gravity. The discharging process has time-dependent bulk-movement behavior. There is not much mixing between layers on the boundary. The vertical end not only makes the packing loose but also intensifies the interaction between particles due to entanglement. Consequently, the discharge features of particle entangled clusters of different included angles were quantified. The results show that the particle discharging speeds depend on the entanglement angle (α of u-particles and η of z-particles) and discharging outlet diameter. A large included angle may play the role of retarding or inhibiting the discharging flow rate. Therefore, the entanglement of particle components also always plays the key role of retarding the discharge.

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Section: Introductionmentioning

confidence: 99%

Numerical Study on Discharging Characteristics of Entangled Cluster of Particles in Particle Bed

Huang

Ge²,

Gui³

et al. 2021

Front. Energy Res.

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show abstract

“…For the pebble motion, the discrete element method (DEM) is widely accepted in the simulations, including flow characteristics (Jia et al, 2017), pebble mixing (Wu et al, 2016a), and burnup analysis (Tang et al, 2019). In recent years, CFD-DEM framework (Wu et al, 2018a;Rabadan Santana et al, 2019;Wang et al, 2019) is developed for the gas-particle flow in particle scale.…”

Section: Introductionmentioning

confidence: 99%

Parameter analysis and wall effect of radiative heat transfer for CFD-DEM simulation in nuclear packed pebble bed

Hao

Gui

Yang

et al. 2020

Exp. Comput. Multiph. Flow

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In the heat transportation of core of high temperature gas-cooled nuclear reactor (HTGR), radiative heat transfer plays a significant role in the CFD-DEM simulations. The numerical investigation is conducted for parameter analysis and wall effect of the thermal radiation. A cell model is presented to discuss the effects of temperature and pebble size. The radiation effective conductivity is directly proportional to pebble diameter and cube of the temperature. For engineering cases, the emissivity on radiation is linear approximately. In the bulk region without wall effect, the radiative thermal conductivity is inversely proportional to the packing density. The effect of solid conductivity and gas absorption can be neglected for common gases with forced convection. With uniform continuum model and discrete particle simulation, the radiative conductivity is inversely proportional to the pebble sphericity and directly proportional to the integral of the radial distribution and radiation interaction function. And radiation characteristics in wall and near-wall region are different from that of bulk region.

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Numerical Methods and Simulation for Pebble Flows

Jiang

Yang

et al. 2020

Multiphase Flow and Heat Transfer in Pebble Bed Reactor Core

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Effects of particle size and region width on the mixing and dispersion of pebbles in two-region pebble bed

Cited by 20 publications

References 28 publications

Numerical Study on Discharging Characteristics of Entangled Cluster of Particles in Particle Bed

Numerical Study on Discharging Characteristics of Entangled Cluster of Particles in Particle Bed

Parameter analysis and wall effect of radiative heat transfer for CFD-DEM simulation in nuclear packed pebble bed

Numerical Methods and Simulation for Pebble Flows

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