New methodology for scaling hydrodynamic data from a 2D-fluidized bed

Briongos, Javier Villa; Guardiola, Jesús García

doi:10.1016/j.ces.2005.04.051

Cited by 27 publications

(11 citation statements)

References 31 publications

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“…This fact is reflected in the large research effort addressed to develop new measurement techniques and theoretical approaches to improve fluidized bed hydrodynamic engineering (Hallow and Daw, 1994;Schouten et al, 1996;van Ommen et al, 2000;Coppens and van Ommen, 2003;Gheorghiu et al, 2003;Briongos and Guardiola, 2005). The dynamic measurement consists on time series collected by several measurement methods (Werther, 1999).…”

Section: Introductionmentioning

confidence: 98%

Phase space structure and multi-resolution analysis of gas–solid fluidized bed hydrodynamics: Part II: Dynamic analysis

Briongos

Aragón

Palancar

2007

Chemical Engineering Science

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Section: Introductionmentioning

confidence: 98%

Phase space structure and multi-resolution analysis of gas–solid fluidized bed hydrodynamics: Part II: Dynamic analysis

Briongos

Aragón

Palancar

2007

Chemical Engineering Science

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“…More recently, the experimental results of Shen et al [14] corroborate these wall effects. In a different study, Briongos and Guardiola [26] proposed a new method based on chaos scale up techniques to scale 2D hydrodynamics.…”

Section: Introductionmentioning

confidence: 99%

On the minimum fluidization velocity in 2D fluidized beds

et al. 2011

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a b s t r a c tIn the present study, a new correlation for the determination of the minimum fluidization velocity in 2D fluidized beds was developed. The proposed correlation was based on the experimental results obtained in 2D fluidized beds with different particle sizes, bed thicknesses and bed heights. Thus, the proposed correlation depends only on the nondimensional variable t/d p , where t is the bed thickness and d p is the particle size. The proposed correlation was compared with other experimental results that can be found in the literature, and two different trends were observed. Namely, one set of experimental results was in accordance with the proposed correlation, while the other set deviated from the theoretical results. In particular, the minimum fluidization velocities of the experimental results were greater than the predicted values of the proposed correlation. In view of the differences in the experimental conditions, the observed discrepancies may be attributed to the effects of electrostatic charge and particle shape. In addition, the experimental fluidization defluidization curves were compared to the theoretical results of Jackson's model, and the parameters were fitted to the experimental data. However, Jackson's model is based on a 1D bed; thus, general parameters could not be obtained for a bed with a fixed particle size and thickness due to the two dimensional voidage distribution in the bed and bed cohesion effects, which are a result of electrostatic forces and are not considered in Jackson's model.

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“…Coroneo, Mazzei, Lettieri, Paglianti, and Montante (2011) predicted the main features of binary segregating fluidized beds of particles differing in size and density. However, to simplify the theoretical models and reduce the computational time, the three-dimensional fluidized beds in their simulations were all simplified as two-dimensional, which could lead to relatively large deviations because of the different influences of the bed walls, the geometry on the flow pattern, and other aspects (Asegehegn, Schreiber, & Krautz, 2012;Van der Hoef, van Sint Annaland, & Kuipers, 2004;Villa Briongos & Guardiola, 2005). Moreover, the reactors they modeled are all conventional bubbling fluidized beds having uniform distributions, rather than spout fluidized beds with unique flow patterns.…”

Section: Nomenclaturementioning

confidence: 98%