CFD modeling and validation of the turbulent fluidized bed of FCC particles

Gao, Jinsen; Lan, Xingying; Fan, Yunyun; Chang, Jian; Wang, Gang; Lu, Chunxi; Chen, Xu

doi:10.1002/aic.11824

Cited by 115 publications

(50 citation statements)

References 29 publications

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“…Furthermore, as observed, the boundary condition accounting for the partial slip of the solid particles at the wall is suitable for prediction of correct radial voidage profiles. Based upon these conclusions, we now attempt to simulate the turbulent fluidized bed with fine particles of Gao et al [11] at China University of Petroleum (Beijing) in the next section.…”

Section: Conclusion From Study Of Group-b Particlesmentioning

confidence: 99%

“…The governing equations and constitutive closures of the two-fluid model are summarized in Table A Tables Table 1 Modeling parameters for Group-B fluidized system of Gao et al [13] used in this study Table 2 Modeling parameters for Group-A fluidized system of Gao et al [11] used for study …”

Section: Nomenclaturementioning

confidence: 99%

“…In this approach, the gas and solid phases are assumed to be fully interpenetrating continua [9]. This methodology has been adopted widely by several investigators to model turbulent fluidized beds [10][11][12][13][14]. This approach requires either fine-grid resolution of the flows or modification of simulation parameters to incorporate sub-grid structures [15][16][17][18][19].…”

Section: Introductionmentioning

confidence: 99%

“…An attempt by using the four zoned drag model approach to simulate turbulent fluidized bed has been made recently [11,29]. Adopting a similar multi-zoned drag model, Gao et al [13] simulated their turbulent fluidized bed in fair agreement with their experimental data.…”

Section: Introductionmentioning

confidence: 99%

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Bubble-based EMMS mixture model applied to turbulent fluidization

et al. 2015

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ReuseUnless indicated otherwise, fulltext items are protected by copyright with all rights reserved. The copyright exception in section 29 of the Copyright, Designs and Patents Act 1988 allows the making of a single copy solely for the purpose of non-commercial research or private study within the limits of fair dealing. The publisher or other rights-holder may allow further reproduction and re-use of this version -refer to the White Rose Research Online record for this item. Where records identify the publisher as the copyright holder, users can verify any specific terms of use on the publisher's website. TakedownIf you consider content in White Rose Research Online to be in breach of UK law, please notify us by emailing eprints@whiterose.ac.uk including the URL of the record and the reason for the withdrawal request. AbstractTurbulent fluidization is now widely recognized as a distinct flow regime and is commonly utilized in industrial fluidized-bed reactors. However, relatively fewer attempts have been made to rigorously model these systems in comparison to bubbling and circulating fluidized beds. In this work, we have rewritten the original bubble based EMMS model in form of a mixture to apply it to turbulent fluidization. At microscale this mixture is composed of gas and particles whereas voids and gas-particle suspension make up this mixture at mesoscale level. Subsequently, all the system properties are then calculated in terms of mixture rather than individual phases. With the minimization of the objective function for the bubbling mixture, the set of equations is then solved numerically. The objective function, used to close the system of equations, is composed of the energy consumption rates required to suspend gas-particle suspension and the energy consumed due to interaction between suspension and voids. The model is then applied to simulate gas-solid turbulent fluidized beds. Simulation results are encouraging as the model is able to predict the dense bottom and dilute top zones along the height of the bed. Comparison of results with experimental data and homogeneous drag model has been made for validation purposes.

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Section: Conclusion From Study Of Group-b Particlesmentioning

confidence: 99%

Section: Nomenclaturementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Bubble-based EMMS mixture model applied to turbulent fluidization

et al. 2015

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“…The coupling is achieved through the inter-phase forces such as the drag force. The drag model plays an important role in the two-phase flow modeling [2] [3]. Different correlations for the drag coefficient are available in various literatures.…”

Section: Introductionmentioning

confidence: 99%

Predicting the Two-Phase Liquid-Solid Drag Model Using the Calculus of Variation

Nazif¹,

Javadi²,

Fallahnezhad³

2018

JAMP

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The simplified momentum equations of the two-phase flow have been adopted as the basic assumptions in this study. For vessels of small diameter, the shear stress becomes important and the friction pressure drop proposed by Ergun considers this effect by involving the wall effect. By replacing the Ergun pressure drop and the first order velocity term for particles drag model in the momentum equations, the relation for the drag coefficient versus the volume fraction is obtained. The calculus of variations is used with certain restriction for extremization of this drag coefficient. An analytical correlation for the drag coefficient is obtained depending on the volume fraction of "fluid particles". The drag function obtained in previous studies does not match with the empirical data in the bed volume fraction range of [0.45 to 0.59]. Therefore, the function is modified and the results are better adjusted with the empirical data.

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Probability density function simulation of turbulent reactive gas‐solid flow in a FCC riser

2011

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A newly developed hybrid solution algorithm applicable on turbulent multiphase, gas‐solid, reactive flows is presented. A finite volume (FV) and a probability density function (PDF) method are combined. The FV technique is used to solve the total mass and momentum conservation equations together with the k‐ε turbulence equation for the gas phase and the granular temperature equation for the solid phase. The PDF method is applied to solve the species continuity equations and avoids the need to model the chemical source terms in the latter. Stochastic differential equations (SDEs) are introduced as replicas of the transported composition PDF equations. The notional‐particle‐based Monte‐Carlo technique is used to solve the PDF model equations. The hybrid FV/PDF solution algorithm is applied to simulate a fluid catalytic cracking (FCC) riser using a 12‐lump kinetic model. A good agreement between simulated results and available plant data is obtained. © 2011 American Institute of Chemical Engineers AIChE J, 2012

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CFD modeling and validation of the turbulent fluidized bed of FCC particles

Cited by 115 publications

References 29 publications

Bubble-based EMMS mixture model applied to turbulent fluidization

Bubble-based EMMS mixture model applied to turbulent fluidization

Predicting the Two-Phase Liquid-Solid Drag Model Using the Calculus of Variation

Probability density function simulation of turbulent reactive gas‐solid flow in a FCC riser

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