Non-spherical particle mixing behaviors by spherical inert particles assisted in a fluidized bed

Ren, Anxing; Wang, Tianyu; Tang, Tianqi; He, Yurong

doi:10.1007/s12182-019-00401-4

Cited by 17 publications

(2 citation statements)

References 44 publications

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“…Consequently, there was an accumulation of solid particles in the reactor, which resulted in fluidization challenging of low contacting between gas and solid particle. [ 23,24 ] Hence, the existing design did not facilitate efficient gas–solid mixing and effective fluidization of the bed material.…”

Section: Resultsmentioning

confidence: 99%

CFD‐ANN coupling model simulation of gas–solid feeding design for ternary biomass mixtures in bubbling fluidized bed gasifier

Soanuch,

Pareek,

Piumsomboon

et al. 2024

Can J Chem Eng

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The performance of continuous feeding fluidized bed reactors is significantly influenced by their design. These reactors can effectively operate with a wide range of biomass mixtures. Therefore, it is imperative to carefully design the gas distributor plate and solid tube inlet to ensure stable fluidization and uniform distribution of fluidizing gas and solid particles within the reactor. This study investigated the impact of gas–solid feeder design in bubbling fluidized bed gasifier for biomass mixtures on system hydrodynamics, employing a computational fluid dynamics–artificial neural network (CFD‐ANN) coupling model to achieve more realistic simulations. A 2k factorial experimental design was adopted to inquire the impact of gas and solid feeding systems. The responses under investigation included the gas–solid mixing index and the solid residence time, both of which hold pivotal roles in specific chemical processes related to biomass utilization in fluidized bed technology. All cases were successfully simulated, and the results uncovered that the position and length of the solid inlet tube wielded a significant influence on reactor performance, particularly concerning solid residence time. Furthermore, the designs of the gas distributor were identified as critical factors capable of enhancing system turbulence and mixing. In summary, the results showed the potential for enhancing reactor performance through the optimization of gas–solid feeding systems and underscored the efficacy of the ANN drag model in simulating continuous biomass gasification systems.

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Section: Resultsmentioning

confidence: 99%

CFD‐ANN coupling model simulation of gas–solid feeding design for ternary biomass mixtures in bubbling fluidized bed gasifier

Soanuch,

Pareek,

Piumsomboon

et al. 2024

Can J Chem Eng

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“…It was observed that the biomass mixed well with the sand at high gas velocities. Ren et al 33 simulated the binary fluidization process of spherocylinders and spheres. They found that the addition of spherical particles made the spherocylinders tend to orient vertically.…”

Section: Introductionmentioning

confidence: 99%

Bubble Dynamics and Particle Orientation in a Binary Fluidized Bed Containing Spherocylinders and Spheres

Zhang

Luo

et al. 2022

Ind. Eng. Chem. Res.

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Fluidized beds containing binary mixtures are widely encountered in biomass utilization processes. On the basis of the computational fluid dynamic-discrete element method and the multisphere model, an integrated model has been developed, validated, and applied to explore the bubble dynamics and particle orientation in a binary fluidized bed with spherocylinders and spheres. The effects of four key parameters (i.e., superficial gas velocity, volume fraction of spherocylinders, particle density, and particle aspect ratio) are systematically explored. The results show that a proper particle aspect ratio can promote the mixing of the two kinds of particles; the addition of spherocylinders could reduce the bubble generation and expansion to some extent; three distinct zones (i.e., central zone, near-wall zone, corner zone) with respective preferential particle orientations are identified; and reducing the gas velocity or increasing the particle density and aspect ratio makes the orientation zones more obvious. All these observations are beneficial for deeply understanding the fluidization in a binary fluidized bed.

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Particle velocity measurement of binary mixtures in the riser of a circulating fluidized bed by the combined use of electrostatic sensing and high-speed imaging

et al. 2020

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The flow dynamics of binary particle mixtures in the fluidized bed needs to be monitored in order to optimize the related industrial processes. In this paper, electrostatic sensing and high-speed imaging are applied to measure the velocities of polyethylene and sand particles in the binary particle mixtures in fluidization. Experimental studies were conducted on a lab-scale cold circulating fluidized bed. Correlation function between electrostatic signals from upstream and downstream electrodes placed along the riser shows two peaks that represent transit times for the two types of particles. To verify the above results, high-speed imaging was adopted to capture the flow images of particle mixtures. Particle Image Velocimetry and Particle Tracking Velocimetry algorithms were utilized to process the resulted images in order to measure the velocities of polyethylene and sand particles. The reasons for two-peak correlation functions are illustrated based on the frequency spectrums of the mono-solid-phase electrostatic signals and the velocity difference between polyethylene and sand particles. Finally, comparisons on the velocities obtained from electrostatic sensing and high-speed imaging demonstrate the electrostatic sensor can roughly estimate the particle velocity of binary particle mixtures in the near wall region of the circulating fluidized bed. Keywords Binary mixtures • Fluidized bed • Electrostatic sensor • High-speed imaging Abbreviations ADC Analog to digital converter BFB Bubbling fluidized bed CFB Circulating fluidized bed DCC Direct cross-correlation ECT Electrical capacitance tomography FFT Fast fourier transform PE Polyethylene PIV Particle image velocimetry PTV Particle tracking velocimetry RPT Radioactive particle tracking List of symbols C(d) Cross-correlation coefficient f(x, y) Gray distribution of the binary image L Distance between the upstream and the downstream electrodes, m m pq 2-D moment of order (p + q) n Strictness of the filter S 1 (z 1, t) Upstream electrostatic signals, V S 2 (z 2, t) Downstream electrostatic signals, V S PE (t) Components from PE particles, V S sand (t) Components from sand particles, V T Integral time, s t lower Lower velocity threshold, m/s t upper Upper velocity threshold, m/s u Mean velocity, m/s x X coordinates of the centroid y Y coordinates of the centroid Edited by Xiu-Qiu Peng

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Non-spherical particle mixing behaviors by spherical inert particles assisted in a fluidized bed

Cited by 17 publications

References 44 publications

CFD‐ANN coupling model simulation of gas–solid feeding design for ternary biomass mixtures in bubbling fluidized bed gasifier

CFD‐ANN coupling model simulation of gas–solid feeding design for ternary biomass mixtures in bubbling fluidized bed gasifier

Bubble Dynamics and Particle Orientation in a Binary Fluidized Bed Containing Spherocylinders and Spheres

Particle velocity measurement of binary mixtures in the riser of a circulating fluidized bed by the combined use of electrostatic sensing and high-speed imaging

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