The influence of binary drag laws on simulations of species segregation in gas-fluidized beds

Leboreiro, José; Joseph, G. G.; Hrenya, Christine M.; Snider, Dale M.; Banerjee, Sibashis S.; Galvin, Janine E.

doi:10.1016/j.powtec.2007.08.015

Cited by 61 publications

(39 citation statements)

References 39 publications

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“…Bokkers et al [14] analyzed the effect of drag law on bubble formation. Leboreiro et al [15] simulated segregation in gas-solid fluidized bed and observed the equations obtained from direct numerical simulation gave better results.…”

Section: Introductionmentioning

confidence: 99%

A new relation of drag force for high Stokes number monodisperse spheres by direct numerical simulation

Zaidi

Tsuji

Tanaka

2014

Advanced Powder Technology

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Section: Introductionmentioning

confidence: 99%

A new relation of drag force for high Stokes number monodisperse spheres by direct numerical simulation

Zaidi

Tsuji

Tanaka

2014

Advanced Powder Technology

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“…In particular, recent work has indicated that the drag-law treatment plays a crucial role in the qualitative and quantitative nature of segregation of polydisperse systems. 24,25 In the earlier DEM simulations of Dahl and Hrenya, 21 however, an ad hoc treatment of the polydisperse drag law was used since more rigorous, lattice-Boltzmann-based treatments 26,27 were not yet available.…”

Section: Introductionmentioning

confidence: 99%

Axial segregation in bubbling gas‐fluidized beds with Gaussian and lognormal distributions of Geldart Group B particles

2010

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in Wiley Online Library (wileyonlinelibrary.com).Bubbling, gas-fluidized bed experiments involving Geldart Group B particles with continuous-size distributions have been carried out. Sand of various widths of Gaussian or lognormal distributions were completely fluidized, then axial concentration profiles were obtained from frozen-bed sectioning. Similar to previous works on binary systems, results show that mean particle diameter decreases with increasing bed height, and that wider Gaussian distributions show increased segregation extents. Surprisingly, however, lognormal distributions exhibit a nonmonotonic segregation trend with respect to distribution widths. In addition, the shape of the local-size distribution is largely preserved with respect to that of the overall distribution. These findings on the nature of local-size distribution provide experimental confirmation of previous results for granular and gas-solid simulations. Lastly, an interesting observation is that although monodisperse Geldart Group D particles cannot be completely fluidized, their presence in lognormal distributions investigated still results in complete fluidization of all particles.

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“…The continuum solids pressure is primarily employed to avoid exceeding the maximum packing of the granular assembly. This approach is commonly referred to as the multiphase particle in-cell (MP-PIC) technique 7,8,9,10 and also uses computational parcels as described earlier. To estimate the errors associated with the MP-PIC assumption, sets of discrete parcel simulations using either the solids pressure gradient term or the collision force based on a soft-sphere linear springdashpot model are conducted.…”

Section: Introductionmentioning

confidence: 99%

Estimation of Numerical Errors Related to Some Basic Assumptions in Discrete Particle Methods

Benyahia

Galvin

2010

Ind. Eng. Chem. Res.

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SummaryDiscrete particle methods that track the motion of individual particles and their collisions are computationally very expensive. Some basic assumptions are commonly introduced in the literature in order to accelerate these numerical simulations. In this study the use of computational parcels, or clouds, wherein many particles are lumped together so that only parcels and their collisions are tracked is examined. The multiphase particle-in-cell, or MP-PIC, wherein the collision forces are replaced by a solids pressure term with the main purpose to avoid exceeding maximum packing of the granular assembly is also investigated. Several cases relevant to the fluidization community are studied and errors associated with these basic assumptions are computed. Errors in the time-averaged flow variables are large indicating that further research is necessary to validate these basic assumptions. KeywordsMultiphase and particulate reactors.

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The influence of binary drag laws on simulations of species segregation in gas-fluidized beds

Cited by 61 publications

References 39 publications

A new relation of drag force for high Stokes number monodisperse spheres by direct numerical simulation

A new relation of drag force for high Stokes number monodisperse spheres by direct numerical simulation

Axial segregation in bubbling gas‐fluidized beds with Gaussian and lognormal distributions of Geldart Group B particles

Estimation of Numerical Errors Related to Some Basic Assumptions in Discrete Particle Methods

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