2011
DOI: 10.1016/j.advengsoft.2011.03.005
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Adjustment of drag coefficient correlations in three dimensional CFD simulation of gas–solid bubbling fluidized bed

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Cited by 85 publications
(59 citation statements)
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“…The Gidaspow drag model combines the pressure drops from the Ergun equation and the Wen and Yu model [14] to derive the drag coefficient in the dense and dilute pockets of the bed, respectively, while the Syamlal-O'Brien model [42] converts the terminal velocity correlations to drag correlations adjusted to match the experimentally measured minimum fluidization velocity. Thus, the Gidaspow model is more applicable to homogeneous bubbling fluidization [54,55] while the adjusted Syamlal-O'Brien model is more suited at higher velocities [46]. This is in agreement with the comparison of bubble diameters predicted using the two drag models in Figure 17 for the experimental setup by Rüdisüli et al [20].…”
Section: Comparison Of Gas-solids Drag Modelssupporting
confidence: 80%
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“…The Gidaspow drag model combines the pressure drops from the Ergun equation and the Wen and Yu model [14] to derive the drag coefficient in the dense and dilute pockets of the bed, respectively, while the Syamlal-O'Brien model [42] converts the terminal velocity correlations to drag correlations adjusted to match the experimentally measured minimum fluidization velocity. Thus, the Gidaspow model is more applicable to homogeneous bubbling fluidization [54,55] while the adjusted Syamlal-O'Brien model is more suited at higher velocities [46]. This is in agreement with the comparison of bubble diameters predicted using the two drag models in Figure 17 for the experimental setup by Rüdisüli et al [20].…”
Section: Comparison Of Gas-solids Drag Modelssupporting
confidence: 80%
“…Although differences in the predictions have been noted previously (e.g. [43][44][45][46]), there has been no study extensively investigating the suitability of these models with varying bed geometries, particle properties and fluidization regimes. Through simulations conducted as part of this study, it is suggested that the Gidaspow model is more applicable to homogeneous bubbling fluidization (U/U mf <4) while the Syamlal-O'Brien model is more suited to faster fluidization and slugging (U/U mf >4).…”
Section: Governing Equationsmentioning
confidence: 87%
“…The reaction rate in each cell (molar rate of change from species A to species B per unit volume) was then implemented as a source term into Equation 13. Since the species had identical properties and the reaction occurred in a 1:1 stoichiometric ratio, no mass or momentum source terms were required.…”
Section: A S B S + → +mentioning
confidence: 99%
“…Other closure models also have an influence on the solution, but the most important of these, the drag law and the particle-particle restitution coefficient in particular, have been explored in quite some detail in the literature to date (e.g. [10][11][12][13][14]). This work will therefore include only a brief assessment of these and other potentially important factors.…”
Section: Introductionmentioning
confidence: 99%
“…Esmaili and Mahinpey [12] have compared the results from the simulations with eleven different drag models with respect to minimum fluidization velocity, and found that Syamlal and O'Brien gives better prediction when compared with other models. In addition, the Syamlal and O'Brien drag is able to more accurately predict the minimum fluidization velocity.…”
Section: Introductionmentioning
confidence: 99%