LDV measurements and analysis of gas and particulate phase velocity profiles in a vertical jet plume in a 2D bubbling fluidized bed

Mychkovsky, Alexander G.; Rangarajan, Deepak; Ceccio, Steven L.

doi:10.1016/j.powtec.2011.09.027

Cited by 22 publications

(8 citation statements)

References 11 publications

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“…Yang et al studied the bubble characteristics using digital image analysis. The x‐ray analysis was employed to study the single bubbles by Yates et al Mychkovsky et al used laser doppler velocimetry measurement to analyze the gas and particle velocity profiles in fluidized beds. In recent years, the particle image velocimetry (PIV) has been applied to particle systems and obtained the particle behaviors in micro scale.…”

Section: Introductionmentioning

confidence: 99%

Experimental and numerical study on a bubbling fluidized bed with wet particles

Wang

Tang

et al. 2016

AIChE Journal

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As liquid bridge between particles acts an important role in the particle system, it is of considerable significance to analyze the flow hydrodynamics of wet particles in fluidized beds, which will improve the reactor design and process optimization. Thus, experimental and numerical investigations on wet particles in a bubbling fluidized bed are conducted in current work. On experimental side, particle image velocimetry (PIV) technology is employed with a designed bubbling fluidized bed. The silicone oil is used in this work because it is nonvolatile and transparent. On numerical side, a modified discrete element method (DEM) numerical method is developed by compositing an additional liquid‐bridge module into the traditional soft‐sphere interaction model. Most of the physical parameters are chosen to correspond to the experimental settings. Good agreements of particle velocity are found between the DEM simulation and PIV measurement. The performance of different liquid contents and superficial gas velocities are examined. © 2016 American Institute of Chemical Engineers AIChE J, 62: 1970–1985, 2016

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Section: Introductionmentioning

confidence: 99%

Experimental and numerical study on a bubbling fluidized bed with wet particles

Wang

Tang

et al. 2016

AIChE Journal

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“…In simulations, the corresponding prevention of loss of solids from the top of the column was achieved by specifying a very tall domain which allowed the solids to fall back down. Though the experiments were conducted in the presence of acrylic bounding walls (pseudo‐2D arrangement), the development of self‐similar velocity profiles for both phases inside the jet plume has been consistent with the analytical Gaussian profile for two‐dimensional jets . Therefore, the simulations conducted in this article were two‐dimensional and the governing equations were not solved along the thickness direction.…”

Section: Simulation Setupmentioning

confidence: 66%

“…The variable in the experiments was the fluidization velocity, which was changed between 0 and 1.5 times minimum fluidization velocity. A detailed description of the experimental setup can found in Mychkovsky . The main difference between the experiment and simulation parameters was in the column height.…”

Section: Simulation Setupmentioning

confidence: 99%

Continuum model validation of gas jet plume injection into a gas–solid bubbling fluidized bed

et al. 2013

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A continuum gas–solid model that includes descriptions for solid frictional stress and a turbulent gas phase is evaluated against published experimental measurements of mean and fluctuating velocity inside the jet plume region of a bubbling fluidized bed with a high‐speed vertical jet injection. The main uncertainties in closure relations necessary in the continuum model are first identified and then determined using available experimental data. The overall model shows good agreement with both the gas and particle experimental velocity profiles. The trends in the centerline mean and fluctuating velocity with change in the fluidized state of the emulsion are also captured favorably. Main deviations between the model and experiment are noted and possible reasons for the mismatch are discussed. © 2013 American Institute of Chemical Engineers AIChE J, 59: 3247–3264, 2013

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“…Laser Doppler velocimetry (LDV) can be employed to simultaneously obtain the velocity profiles of both gas and solid phases [31,32]. By inserting the optical fiber probes [33,34] into the fluidized bed, the received light reflected by moving particles is converted into voltage signals.…”

Section: Accepted Manuscriptmentioning

confidence: 99%

Monitoring of particle motions in gas-solid fluidized beds by electrostatic sensors

Yang

Zhang

et al. 2017

Powder Technology

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This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. A C C E P T E D M A N U S C R I P TACCEPTED MANUSCRIPT Electrostatic charge signals in the fluidized bed contain much dynamic information on particle motions, which are poorly understood and explored. In this work, correlation velocities of Geldart B and D particles were measured, analyzed and compared by induced electrostatic sensors combined with cross-correlation method in the fluidized bed. The results indicated that the average correlation velocity of particle clouds increased and the normalized probability density distributions of correlation velocities broadened when the superficial gas velocity increased in the dense-phase region. Both upward and downward correlation velocities could be acquired in the dynamic bed level region. Under the same excess gas velocity, the average correlation velocity of Geldart D particles was significantly smaller than that of Geldart B particles, which was caused by the smaller bubble sizes caused by the dominant bubble split over coalescence and less volume of A C C E P T E D M A N U S C R I P T ACCEPTED MANUSCRIPT 2 gas forming bubbles for Geldart D particles. The experimental results verified the reliability and repeatability of particle correlation velocity measurement by induced electrostatic sensors in the gas-solid fluidized bed, which provides definite potential in monitoring of particle motions.

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LDV measurements and analysis of gas and particulate phase velocity profiles in a vertical jet plume in a 2D bubbling fluidized bed

Cited by 22 publications

References 11 publications

Experimental and numerical study on a bubbling fluidized bed with wet particles

Experimental and numerical study on a bubbling fluidized bed with wet particles

Continuum model validation of gas jet plume injection into a gas–solid bubbling fluidized bed

Monitoring of particle motions in gas-solid fluidized beds by electrostatic sensors

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