Multiscale modeling of pattern formation in pulsed fluidized beds : continuum and discrete approaches

M.O. Coppens, K. Wu, L. de Martín, A. Schijve, L. Mu, N.G. Deen, J.A.M. Kuipers

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

It has been demonstrated experimentally that, under certain experimental conditions, a periodic flow can induce the formation of sub-harmonic bubble patterns in gas-solid fluidized beds (1). In spite of their potential for structuring and scaling up fluidized beds (2), very little progress has been achieved so far and the pattern formation mechanism still remains largely unknown.

In quasi-2D bubbling beds, bubbles rise forming hexagonal configurations, alternating their position at every pulse, with a characteristic length independent of bed dimension. The formation of patterns is not just a singular feature of the dynamics, but emerges as a consequence of extensive coupling between multi-scale physical phenomena. The striking visual manifestation and the complexity of the underlying physics make pattern formation excel as a validation tool for computational fluid dynamics (CFD) models (3).

Over the last two decades, CFD codes have been successfully used in modeling and investigating fluidization. Granular media are commonly modeled at two different scales, namely by local averaging (4) and individual tracking (5). Both can predict various fluidization behaviors satisfactorily. However, it is remarkable that, so far, CFD has not been able to convincingly reproduce the experimental patterns of bubbles (6)

In this work, we show the results of our study comparing different modeling strategies, using both a two-fluid model and a discrete element method, in terms of their ability to reproduce the experimentally witnessed patterns (Fig. 1). We also discuss our recent insights in the dominating parameters and closures necessary to capture the underlying physics of this fluidized state correctly.
LanguageEnglish
Title of host publicationFluidization XV, 22-27 May 2016, Quebec, canada
StatePublished - 2016

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beds
continuums
computational fluid dynamics
bubbles
two fluid models
physics
dynamic models
closures
harmonics
scaling
configurations
pulses
gases

Cite this

Coppens, M. O., Wu, K., de Martín, L., Schijve, A., Mu, L., Deen, N. G., & Kuipers, J. A. M. (2016). Multiscale modeling of pattern formation in pulsed fluidized beds : continuum and discrete approaches. In Fluidization XV, 22-27 May 2016, Quebec, canada
Coppens, M.O. ; Wu, K. ; de Martín, L. ; Schijve, A. ; Mu, L. ; Deen, N.G. ; Kuipers, J.A.M./ Multiscale modeling of pattern formation in pulsed fluidized beds : continuum and discrete approaches. Fluidization XV, 22-27 May 2016, Quebec, canada. 2016.
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abstract = "It has been demonstrated experimentally that, under certain experimental conditions, a periodic flow can induce the formation of sub-harmonic bubble patterns in gas-solid fluidized beds (1). In spite of their potential for structuring and scaling up fluidized beds (2), very little progress has been achieved so far and the pattern formation mechanism still remains largely unknown.In quasi-2D bubbling beds, bubbles rise forming hexagonal configurations, alternating their position at every pulse, with a characteristic length independent of bed dimension. The formation of patterns is not just a singular feature of the dynamics, but emerges as a consequence of extensive coupling between multi-scale physical phenomena. The striking visual manifestation and the complexity of the underlying physics make pattern formation excel as a validation tool for computational fluid dynamics (CFD) models (3).Over the last two decades, CFD codes have been successfully used in modeling and investigating fluidization. Granular media are commonly modeled at two different scales, namely by local averaging (4) and individual tracking (5). Both can predict various fluidization behaviors satisfactorily. However, it is remarkable that, so far, CFD has not been able to convincingly reproduce the experimental patterns of bubbles (6)In this work, we show the results of our study comparing different modeling strategies, using both a two-fluid model and a discrete element method, in terms of their ability to reproduce the experimentally witnessed patterns (Fig. 1). We also discuss our recent insights in the dominating parameters and closures necessary to capture the underlying physics of this fluidized state correctly.",
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Coppens, MO, Wu, K, de Martín, L, Schijve, A, Mu, L, Deen, NG & Kuipers, JAM 2016, Multiscale modeling of pattern formation in pulsed fluidized beds : continuum and discrete approaches. in Fluidization XV, 22-27 May 2016, Quebec, canada.

Multiscale modeling of pattern formation in pulsed fluidized beds : continuum and discrete approaches. / Coppens, M.O.; Wu, K.; de Martín, L.; Schijve, A.; Mu, L.; Deen, N.G.; Kuipers, J.A.M.

Fluidization XV, 22-27 May 2016, Quebec, canada. 2016.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

TY - GEN

T1 - Multiscale modeling of pattern formation in pulsed fluidized beds : continuum and discrete approaches

AU - Coppens,M.O.

AU - Wu,K.

AU - de Martín,L.

AU - Schijve,A.

AU - Mu,L.

AU - Deen,N.G.

AU - Kuipers,J.A.M.

PY - 2016

Y1 - 2016

N2 - It has been demonstrated experimentally that, under certain experimental conditions, a periodic flow can induce the formation of sub-harmonic bubble patterns in gas-solid fluidized beds (1). In spite of their potential for structuring and scaling up fluidized beds (2), very little progress has been achieved so far and the pattern formation mechanism still remains largely unknown.In quasi-2D bubbling beds, bubbles rise forming hexagonal configurations, alternating their position at every pulse, with a characteristic length independent of bed dimension. The formation of patterns is not just a singular feature of the dynamics, but emerges as a consequence of extensive coupling between multi-scale physical phenomena. The striking visual manifestation and the complexity of the underlying physics make pattern formation excel as a validation tool for computational fluid dynamics (CFD) models (3).Over the last two decades, CFD codes have been successfully used in modeling and investigating fluidization. Granular media are commonly modeled at two different scales, namely by local averaging (4) and individual tracking (5). Both can predict various fluidization behaviors satisfactorily. However, it is remarkable that, so far, CFD has not been able to convincingly reproduce the experimental patterns of bubbles (6)In this work, we show the results of our study comparing different modeling strategies, using both a two-fluid model and a discrete element method, in terms of their ability to reproduce the experimentally witnessed patterns (Fig. 1). We also discuss our recent insights in the dominating parameters and closures necessary to capture the underlying physics of this fluidized state correctly.

AB - It has been demonstrated experimentally that, under certain experimental conditions, a periodic flow can induce the formation of sub-harmonic bubble patterns in gas-solid fluidized beds (1). In spite of their potential for structuring and scaling up fluidized beds (2), very little progress has been achieved so far and the pattern formation mechanism still remains largely unknown.In quasi-2D bubbling beds, bubbles rise forming hexagonal configurations, alternating their position at every pulse, with a characteristic length independent of bed dimension. The formation of patterns is not just a singular feature of the dynamics, but emerges as a consequence of extensive coupling between multi-scale physical phenomena. The striking visual manifestation and the complexity of the underlying physics make pattern formation excel as a validation tool for computational fluid dynamics (CFD) models (3).Over the last two decades, CFD codes have been successfully used in modeling and investigating fluidization. Granular media are commonly modeled at two different scales, namely by local averaging (4) and individual tracking (5). Both can predict various fluidization behaviors satisfactorily. However, it is remarkable that, so far, CFD has not been able to convincingly reproduce the experimental patterns of bubbles (6)In this work, we show the results of our study comparing different modeling strategies, using both a two-fluid model and a discrete element method, in terms of their ability to reproduce the experimentally witnessed patterns (Fig. 1). We also discuss our recent insights in the dominating parameters and closures necessary to capture the underlying physics of this fluidized state correctly.

M3 - Conference contribution

BT - Fluidization XV, 22-27 May 2016, Quebec, canada

ER -

Coppens MO, Wu K, de Martín L, Schijve A, Mu L, Deen NG et al. Multiscale modeling of pattern formation in pulsed fluidized beds : continuum and discrete approaches. In Fluidization XV, 22-27 May 2016, Quebec, canada. 2016.