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Journal ArticleDOI

Quadrature method of moments for aggregation-breakage processes.

Daniele Marchisio, +2 more
- Vol. 258, Iss: 2, pp 322-334
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TLDR
The quadrature method of moments (QMOM) has already been validated for crystal growth and aggregation; here the method is extended to include breakage and performance is tested for 10 different cases in which the competition between aggregation and breakage leads to asymptotic solutions.
Abstract
Investigation of particulate systems often requires the solution of a population balance, which is a continuity statement written in terms of the number density function. In turn, the number density function is defined in terms of an internal coordinate (e.g., particle length, particle volume) and it generates integral and derivative terms. Different methods exist for numerically solving the population balance equation. For many processes of industrial significance, due to the strong coupling between particle interactions and fluid dynamics, the population balance must be solved as part of a computational fluid dynamics (CFD) simulation. Such an approach requires the addition of a large number of scalars and the associated transport equations. This increases the CPU time required for the simulation, and thus it is clear that it is very important to use as few scalars as possible. In this work the quadrature method of moments (QMOM) is used. The QMOM has already been validated for crystal growth and aggregation; here the method is extended to include breakage. QMOM performance is tested for 10 different cases in which the competition between aggregation and breakage leads to asymptotic solutions.

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Citations
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Journal ArticleDOI

Solution of population balance equations using the direct quadrature method of moments

TL;DR: The direct quadrature method of moments (DQMOM) is formulated, validated, and tested and shown to be an efficient and accurate method for tracking the moments of the particle size distribution (PSD) in a CFD simulation.
Journal ArticleDOI

Quadrature method of moments for population‐balance equations

TL;DR: In this work the quadrature method of moments (QMOM) is tested for size-dependent growth and aggregation and is validated by comparison with both Monte Carlo simulations and analytical solutions using several functional forms for the aggregation kernel.
Journal ArticleDOI

Application of the direct quadrature method of moments to polydisperse gas–solid fluidized beds

TL;DR: In this article, the direct quadrature method of moments (DQMOM) is implemented in a multi-fluid CFD code to simulate particle aggregation and breakage in a fluidized-bed (FB) reactor.
Journal ArticleDOI

Modeling of Bubble Column Reactors: Progress and Limitations

TL;DR: In this article, the progress reported in the literature during the past decade regarding the use of averaged Eulerian multifluid models and computational fluid dynamics (CFD) to model vertical bubble-driven flows is reviewed.
Journal ArticleDOI

From Form to Function: Crystallization of Active Pharmaceutical Ingredients

TL;DR: The physical properties of the active pharmaceutical ingredient (API) including crystal form, size and shape have the potential to impact bioperformance, particularly for low-solubility compounds, where the rate-limiting step in drug uptake may be the dissolution of the API in the gut.
References
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Numerical recipes in C

TL;DR: The Diskette v 2.06, 3.5''[1.44M] for IBM PC, PS/2 and compatibles [DOS] Reference Record created on 2004-09-07, modified on 2016-08-08.
Journal ArticleDOI

On the collision of drops in turbulent clouds

TL;DR: In this paper, a theory of collisions between small drops in a turbulent fluid which takes into account collisions between equal drops was proposed, and it was shown that the collision rate due to the spatial variations of turbulent velocity is N = 1.30(r_1 + r_2)^2(n_1n_2)(e | v)^(1/2), valid for r_1|r_2 between one and two.
Journal ArticleDOI

Description of Aerosol Dynamics by the Quadrature Method of Moments

TL;DR: The quadrature method of moments (QMOM) as mentioned in this paper was proposed to determine the evolution of the lower-order moments of an unknown aerosol distribution without requiring that the size distribution or growth law maintain any special mathematical form.
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