Bulk oscillation and velocity wave propagation in a vibrated fluidized bed at minimum fluidization conditions

Cano-Pleite, Eduardo; Hernández-Jiménez, F.; Acosta-Iborra, A.

doi:10.1016/j.powtec.2016.12.031

Cited by 15 publications

(17 citation statements)

References 39 publications

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“…The use of PIV has been successfully extended to VFBs [17,23,35]. The results presented in these works reveal the suitability of PIV for the characterization of the motion of particles in a VFB and show that the application of PIV in a system of reference that moves with the bed or the bubbles is a valuable mean to evaluate the particle behavior in the bed.…”

Section: Introductionmentioning

confidence: 86%

“…Among the different experimental techniques aimed at characterizing the bed and bubble behavior in VFBs, Digital Image Analysis (DIA) is one of the most used, not only in VFBs but also in conventional fluidized beds [5,[8][9][10][11][12][13][14][15][16][17][18]. Conventional DIA can be combined with Particle Image Velocimetry (PIV) techniques to characterize the motion of particles in the bed.…”

Section: Introductionmentioning

confidence: 99%

“…Conventional DIA can be combined with Particle Image Velocimetry (PIV) techniques to characterize the motion of particles in the bed. This PIV technique has been extensively used in the past to characterize both conventional and vibrated fluidized beds [13,14,17,[19][20][21][22][23]. PIV can be useful to validate existing models of the solids motion inside conventional (non-vibrated) fluidized beds.…”

Section: Introductionmentioning

confidence: 99%

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Vibration augmentation of the solids volume dragged by the wake of a bubble rising in a fluidized bed

2021

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Section: Introductionmentioning

confidence: 86%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Vibration augmentation of the solids volume dragged by the wake of a bubble rising in a fluidized bed

2021

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“…The driving parameter = 2πf u a /g, which represents dimensionless acceleration and is analogous to = 4π 2 f 2 d/g used in vibrated granular layers and liquids, and vibrated-fluidized granular layers [28], leads to inconsistent results when applied to pulsed fluidized beds [ Fig. 6(a)].…”

Section: Driving Parameters and Stability Curvementioning

confidence: 99%

Universal stability curve for pattern formation in pulsed gas-solid fluidized beds of sandlike particles

et al. 2018

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A granular layer can form regular patterns, such as squares, stripes, and hexagons, when it is fluidized with a pulsating gas flow. These structures are reminiscent of the well-known patterns found in granular layers excited through vibration, but, contrarily to them, they have been hardly explored since they were first discovered. In this work, we investigate experimentally the conditions leading to pattern formation in pulsed fluidized beds and the dimensionless numbers governing the phenomenon. We show that the onset to the instability is universal for Geldart B (sandlike) particles and governed by the hydrodynamical parameters = u a /(u tφ ) and f/f n , where u a and f are the amplitude and frequency of the gas velocity, respectively, u t is the terminal velocity of the particles, φ is the average solids fraction, and f n is the natural frequency of the bed. These findings suggest that patterns emerge as a result of a parametric resonance between the kinematic waves originating from the oscillating gas flow and the bulk dynamics. Particle friction plays virtually no role in the onset to pattern formation, but it is fundamental for pattern selection and stabilization.

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“…Process examples are fluid catalytic cracking (FCC), gasification, combustion of solid fuels, Fischer-Tropsch synthesis, drying, granulation and coating (Cano-Pleite et al, 2017). The current work is linked to a multistage cross-flow fluidized bed to be applied for high temperature solids classification .…”

Section: Introductionmentioning

confidence: 99%

Validation of results from Barracuda CFD modelling to predict the minimum fluidization velocity and the pressure drop of Geldart A particles

Jayarathna

Moldestad

Tokheima

2017

Linköping Electronic Conference Proceedings

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Fluidization characteristics such as the minimum fluidization velocity and the bed pressure drop are important for the design of an efficient fluidized bed. These characteristics can be measured experimentally, but also modelled by CFD simulations. The aim of this study was to use experimental data to validate drag models applied in the CFD software Barracuda.Most of the drag models available in the literature are validated against Geldart B or D particles and are not necessarily suitable for Geldart A particles, such as the zirconia particles used in the present study. However, by adjusting one of the constants in the Wen-Yu and Ergun drag models, it should be possible to apply these equations also for Geldart A particles.Data from an in-house built lab-scale fluidized bed unit were used in the study. Reducing the k1 value in the drag model from 180 to 47 gave a reasonable representation of the minimum fluidization velocity and the pressure drop over the bed.

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Bulk oscillation and velocity wave propagation in a vibrated fluidized bed at minimum fluidization conditions

Abstract: Iborra, A. (2017). Bulk oscillation and velocity wave propagation in a vibrated fluidized bed at minimum fluidization conditions.

Cited by 15 publications

References 39 publications

Vibration augmentation of the solids volume dragged by the wake of a bubble rising in a fluidized bed

Vibration augmentation of the solids volume dragged by the wake of a bubble rising in a fluidized bed

Universal stability curve for pattern formation in pulsed gas-solid fluidized beds of sandlike particles

Validation of results from Barracuda CFD modelling to predict the minimum fluidization velocity and the pressure drop of Geldart A particles

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