2014
DOI: 10.1002/ceat.201400284
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A Stochastic Model for Liquid Dispersion in a Trickle‐Bed Reactor

Abstract: A stochastic model was developed to describe the liquid radial dispersion in a trickle-bed reactor, which has conventionally been modeled by the effective diffusion model. To establish the stochastic model, the column was divided into some layers of particles in the axial direction and several annulus rings in each layer in the radial direction. The liquid spreading was regarded as a fluid transport process and the matrix of transfer probability was derived based on the coordinates of the particle network in t… Show more

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Cited by 2 publications
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“…One first and straightforward way to study quality of distribution and hydrodynamics inside Trickle Bed Reactors (TBRs) consists of using representative mockups to characterize the flow inside a bed of solid particles. To do that, many experimental methods are usable and are reported in the literature including flux collectors, wire mesh tomography, nuclear magnetic resonance, electrical tomography, X‐ray, and γ‐ray computed tomography . Experimental methods are very useful to characterize the flow inside fixed bed reactors and to compare the quality of fluid distributions, but those still have inherent defaults.…”
Section: Introductionmentioning
confidence: 99%
“…One first and straightforward way to study quality of distribution and hydrodynamics inside Trickle Bed Reactors (TBRs) consists of using representative mockups to characterize the flow inside a bed of solid particles. To do that, many experimental methods are usable and are reported in the literature including flux collectors, wire mesh tomography, nuclear magnetic resonance, electrical tomography, X‐ray, and γ‐ray computed tomography . Experimental methods are very useful to characterize the flow inside fixed bed reactors and to compare the quality of fluid distributions, but those still have inherent defaults.…”
Section: Introductionmentioning
confidence: 99%