Experimental study and transient CFD/DEM simulation in a fluidized bed based on different drag models

Zhou, Lian; Zhang, Lingjie; Liu, Bai; Shi, Weidong; Li, Wei; Wang, Chuan; Agarwal, Ramesh K.

doi:10.1039/c6ra28615a

Cited by 56 publications

(19 citation statements)

References 24 publications

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“…The validity of three drag laws (Gidaspow, Syamal-O'Brien and Wen-Yu) was tested in a spout-fluid bed by Zhou and others [111]: they reported that all three laws could accurately reproduce the spouting evolution of the bed, but the bed height was always underestimated. They identified Gidaspow law as the most accurate drag model, although pointing out that much work still has to be done in this field.…”

Section: Drag Law Number Of Occurrences Referencesmentioning

confidence: 99%

Modelling of Spouted and Spout-Fluid Beds: Key for Their Successful Scale Up

et al. 2017

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The development of robust mathematical models could provide the necessary tools for a more rapid, efficient, and reliable spouted bed technology development. Computer simulations can be very useful to aid this design and scale-up process: firstly, they can contribute to obtain a fundamental insight into their complex dynamic behavior by understanding the elementary physical principles such as drag, friction, dissipation etc.; secondly, the simulations can be used as a design tool where the ultimate goal is to have a numerical model with predictive capabilities for gas-particle flows at engineering scale. Clearly, one single simulation method will not be able to achieve this goal, but a hierarchy of methods modelling phenomena on different length and time scales can achieve this. The most fruitful approach will be when they are simultaneously followed, so that they can mutually benefit from each other. In this sense, this paper presents a review of the current state of the art of modelling on spouted and spout-fluid beds through an analysis of recent literature following a multiscale approach (molecular and particle, lab, plant and industrial scale). The main features of the different scales together with their current limits are discussed and specific topics are highlighted as paths that still need to be explored. In summary, the paper aims to define the theoretical setline and the basis of improvement that would lead to a robust multiscale model with solid links between micro and macroscopic phenomena. If done with the correct balance between accuracy and computational costs it will gear SB towards their reliable and successful implementation.

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Section: Drag Law Number Of Occurrences Referencesmentioning

confidence: 99%

Modelling of Spouted and Spout-Fluid Beds: Key for Their Successful Scale Up

et al. 2017

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“…22 For CFD-DEM, validation of numerical results against experiments has been conducted (see a recent review by Norouzi et al). In general, it is found that CFD-DEM simulations capture the experimental observations quite well, in terms of both macroscopic (pressure drop, bed expansion, bubble size) 15,[24][25][26][27][28][29][30] and microscopic (voidage and particle velocity profiles) [31][32][33][34][35] measurements. In general, it is found that CFD-DEM simulations capture the experimental observations quite well, in terms of both macroscopic (pressure drop, bed expansion, bubble size) 15,[24][25][26][27][28][29][30] and microscopic (voidage and particle velocity profiles) [31][32][33][34][35] measurements.…”

Section: Introductionmentioning

confidence: 77%

“…23 The most commonly used system is a simple rectangular, bubbling fluidized bed containing 10 5 Geldart Group B or D particles. In general, it is found that CFD-DEM simulations capture the experimental observations quite well, in terms of both macroscopic (pressure drop, bed expansion, bubble size) 15,[24][25][26][27][28][29][30] and microscopic (voidage and particle velocity profiles) [31][32][33][34][35] measurements. Alternatively, system-size independent metrics, such as particle defluidization, 36 allow for the direct comparison between small-scale CFD-DEM simulations of fluidized beds and large-scale experiments.…”

Section: Introductionmentioning

confidence: 77%

Experimental data for code validation: Horizontal air jets in a semicircular fluidized bed of Geldart Group D particles

et al. 2018

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Experiments were conducted with 6 mm plastic beads (Geldart Group D) in a semi‐circular, gas‐fluidized bed with side jets. Attention was paid to particle characterization and bed measurements, making the resulting dataset ideal for CFD‐DEM validation and uncertainty quantification. The bed was operated slightly above and below the minimum fluidization velocity, with additional fluidization provided by one of two pairs of opposing jets located above the distributor near the flat, front face of the unit. Care is taken to report material properties and bed conditions with either measured distribution functions or uncertainty bounds. High‐speed video imaging and particle tracking velocimetry are used to extract bin‐averaged velocity profiles, which are used to extract jet penetration depths. The time‐averaged mean and standard deviation of the bed pressure drop is also reported. Finally, the lower jets are also inserted into the bed until the opposing jets merge to form a spout‐like pattern. © 2018 American Institute of Chemical Engineers AIChE J, 64: 2351–2363, 2018

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“…In the Eulerian model, the fluid volume fraction term and the motion differential equation are respectively as Equations (1) and (2) [15,16] :…”

Section: Model Description 21 Mathematical Modelmentioning

confidence: 99%

Simulation and experiment of rice cleaning in air-separation device based on DEM-CFD coupling method

Ma¹,

Zhao²,

Guo³

et al. 2020

International Journal of Agricultural and Biological Engineering

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In order to study the movement characteristics and separation mechanism of rice and its impurities under the action of airflow, and lower the impurity rate in the cleaning operation process, rice and its impurities were modeled based on the "overlapping multi-sphere clump method", the DEM-CFD coupling method was used to simulate rice cleaning process under different airflow velocity and airflow inclined angle, and combined with aerodynamics, the motion state and separation behavior of rice and its impurities in the flow field. The results showed that under horizontal airflow conditions, the average impurity rate of rice was the lowest when the airflow velocity was 9 m/s. When the flow velocity remains unchanged and the airflow inclined angle was set at 10°, the average impurity rate decreased, while the entrainment loss rate increased. The airflow velocity was negatively correlated with the impurity rate and positively correlated with the entrainment loss rate, while the airflow inclined angle was negatively correlated with the impurity rate and positively correlated with the entrainment loss rate. By designing and setting up an experimental device, an experiment was carried out with airflow velocity and airflow inclined angle as the factors, and the experimental results were consistent with the simulation results, indicating that it was reliable to study the physical behavior of rice-straw separation in the airflow field by using the DEM-CFD coupling method.

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Experimental study and transient CFD/DEM simulation in a fluidized bed based on different drag models

Cited by 56 publications

References 24 publications

Modelling of Spouted and Spout-Fluid Beds: Key for Their Successful Scale Up

Modelling of Spouted and Spout-Fluid Beds: Key for Their Successful Scale Up

Experimental data for code validation: Horizontal air jets in a semicircular fluidized bed of Geldart Group D particles

Simulation and experiment of rice cleaning in air-separation device based on DEM-CFD coupling method

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