2012
DOI: 10.1002/aic.13754
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A second‐order moment method applied to gas–solid risers

Abstract: Second‐order moment method of particles is proposed on the basis of the kinetic theory of granular flow. Closure equations for the third‐order velocity moments are presented to account for the increase of the probability of collisions of particles on the basis of the elementary kinetic theory and order of magnitude analysis. The boundary conditions for the set of equations describing flow of particles are proposed with the consideration of the momentum exchange by collisions between the wall and the particles.… Show more

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Cited by 16 publications
(6 citation statements)
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“…On the basis of the SOM model for gas–solid flow simulations, the SOM of particles equations are presented for the gas–solid reacting flow. The governing equations and the species equation of particles are given as follows: t ( α s ρ s ) + x i ( α s ρ s u s i ) = S sg t ( α s ρ s u s , i ) + x j ( α s ρ s u s i u s j ) = prefix∑ l = 1 N [ χ ( m s C i ) l …”
Section: Mathematical Modelmentioning
confidence: 99%
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“…On the basis of the SOM model for gas–solid flow simulations, the SOM of particles equations are presented for the gas–solid reacting flow. The governing equations and the species equation of particles are given as follows: t ( α s ρ s ) + x i ( α s ρ s u s i ) = S sg t ( α s ρ s u s , i ) + x j ( α s ρ s u s i u s j ) = prefix∑ l = 1 N [ χ ( m s C i ) l …”
Section: Mathematical Modelmentioning
confidence: 99%
“…SOM of Particles Model. On the basis of the SOM model for gas−solid flow simulations, 24 the SOM of particles equations are presented for the gas−solid reacting flow. The governing equations and the species equation of particles are given as follows: …”
Section: Introductionmentioning
confidence: 99%
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“…Modeling particle‐laden flows is of major interest in developing a better understanding of these systems and, in an industrial context, improving process optimization, troubleshooting, and scale‐up. There has been a variety of approaches to modeling these systems including direct numerical simulation (DNS), Eulerian–Lagrangian (EL) simulation, and Eulerian–Eulerian (EE) simulation 1‐7 . One major challenge in doing so involves not only successfully resolving the features present but also doing so in a way that is computationally feasible and efficient 8,9 .…”
Section: Introductionmentioning
confidence: 99%
“…There has been a variety of approaches to modeling these systems including direct numerical simulation (DNS), Eulerian-Lagrangian (EL) simulation, and Eulerian-Eulerian (EE) simulation. [1][2][3][4][5][6][7] One major challenge in doing so involves not only successfully resolving the features present but also doing so in a way that is computationally feasible and efficient. 8,9 With that in mind, the purpose of this study is to evaluate the ability of an EE-anisotropic Gaussian (EE-AG) model [10][11][12] to reproduce the results of particle-laden channel flow modeled using an EL model.…”
Section: Introductionmentioning
confidence: 99%