Validation of the Eulerian simulated dynamic behaviour of gas–solid fluidised beds

Wachem, van Bgm Berend; Schouten, JC Jaap; Krishna, Rajamani; Bleek, van den Cm

doi:10.1016/s0009-2509(98)00303-0

Cited by 90 publications

(38 citation statements)

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“…The CFD two-fluid continuum model is an appropriate tool for modeling engineering-scale fluidized and spouted beds due to the huge number of particles (typically 10 9 -10 12 ) present in the system of interest. Several authors applied CFD continuum modeling for fluidized beds (Goldschmidt et al (2004);van Wachem et al (1999)) and spouted beds (Kojouharov (2004);Mujumdar et al (2007)). The conservation equations employed in this continuum model are a generalization of the Navier-Stokes equations for interacting continua.…”

Section: Cfd Multiphase-modelingmentioning

confidence: 99%

Characterization of the pneumatic behavior of a novel spouted bed apparatus with two adjustable gas inlets

Gryczka

Heinrich

Miteva

et al. 2008

Chemical Engineering Science

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-Recently the importance of spouted bed technology has significantly increased in the context of drying processes as well as granulation, agglomeration or coating processes. Particulate systems concerning very fine or non spherical particles that are difficult to fluidize, often cannot be treated in conventional fluidized beds. In contrast to those fluidized beds, the spouted bed technology with its specific flow structure offers the opportunity of stable fluidization under controlled conditions. Within this work the fluid dynamics of a novel spouted bed with two adjustable gas inlets is investigated. By analysis of gas fluctuation spectra by means of a fast Fourier transformation algorithm, different operation regimes are identified and depicted graphically. Furthermore, continuum CFD-modeling of the granular solid phase motion by means of an Euler/Euler approach and comparisons with experimental obtained velocity vector fields by means of particle image velocimetry (PIV) measurements will be presented in this work.

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Section: Cfd Multiphase-modelingmentioning

confidence: 99%

Characterization of the pneumatic behavior of a novel spouted bed apparatus with two adjustable gas inlets

Gryczka

Heinrich

Miteva

et al. 2008

Chemical Engineering Science

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“…van Wachem et al (1998) compared with existing correlations the time averaged bubble size and velocity obtained with an Eulerian Eulerian multiphase CFD model of a 2 D square column filled with Geldart B particles in free bubbling regime. This study was completed in van Wachem et al (1999), where the authors presented the dynamic characteristics of the gas solid behavior and compared it with published experimental data and correlations. The comparison included the velocity of pressure and voidage waves, the power spectra of pressure and voidage fluctuations and the Kolmogorov entropy, among other results.…”

Section: Introductionmentioning

confidence: 99%

Experimental and computational study on the bubble behavior in a 3-D fluidized bed

Acosta-Iborra

Sobrino

Hernández-Jiménez

et al. 2011

Chemical Engineering Science

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a b s t r a c tThe results from a two fluid Eulerian Eulerian three dimensional (3 D) simulation of a cylindrical bed, filled with Geldart B particles and fluidized with air in the bubbling regime, are compared with experimental data obtained from pressure and optical probe measurements in a real bed of similar dimensions and operative conditions. The main objectives of this comparison are to test the validity of the simulation results and to characterize the bubble behavior and bed dynamics. The fluidized bed is 0.193 m internal diameter and 0.8 m height, and it is filled with silica sand particles, reaching a settle height of 0.22 m. A frequency domain analysis of absolute and differential pressure signals in both the measured and the simulated cases shows that the same principal phenomena are reproduced with similar distributions of peak frequencies in the power spectral density (PSD) and width of the spectrum. The local dynamic behavior is also studied in the present work by means of the PSD of the simulated particle fraction and the PSD of the measured optical signal, which reveals as well good agreement between both the spectra. This work also presents, for the first time, comparative results of the measured and the simulated bubble size and velocity in a fully 3 D bed configuration. The values of bubble pierced length and velocity retrieved from the experimental optical signals and from the simulated particle fraction compare fairly well in different radial and axial positions. Very similar values are obtained when these bubble parameters are deduced from either simulated pressure signals or simulated particle volume fraction. In addition, applying the maximum entropy method technique, bubble size probability density functions are also calculated. All these results indicate that the two fluid model is able to reproduce the essential dynamics and interaction between bubbles and dense phase in the 3 D bed studied.

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“…Methods of state space analysis deal with the reconstruction of attractors in an embedded phase space and the study of attractor properties, such as Kolmogorov entropy and correlation dimension. Moreover, state space analysis has been successfully applied in several fields of fluidization engineering such as modeling (Van Wachem et al, 1999), control (Van Omment et al, 2000), and scale-up .…”

Section: State Space Analysismentioning

confidence: 99%

Using free bed surface fluctuations in a 3‐D fluidized bed for dynamic characterization

Briongos

Soler

2004

AIChE Journal

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Validation of the Eulerian simulated dynamic behaviour of gas–solid fluidised beds

Cited by 90 publications

References 0 publications

Characterization of the pneumatic behavior of a novel spouted bed apparatus with two adjustable gas inlets

Characterization of the pneumatic behavior of a novel spouted bed apparatus with two adjustable gas inlets

Experimental and computational study on the bubble behavior in a 3-D fluidized bed

Using free bed surface fluctuations in a 3‐D fluidized bed for dynamic characterization

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