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Numerical Methods for the Solution of Population Balance Equations Coupled with Computational Fluid Dynamics.
Shiea, Mohsen; Buffo, Antonio; Vanni, Marco; Marchisio, Daniele.
Affiliation
  • Shiea M; Department of Applied Science and Technology, Institute of Chemical Engineering, Politecnico di Torino, 10129 Torino, Italy; email: daniele.marchisio@polito.it.
  • Buffo A; Department of Applied Science and Technology, Institute of Chemical Engineering, Politecnico di Torino, 10129 Torino, Italy; email: daniele.marchisio@polito.it.
  • Vanni M; Department of Applied Science and Technology, Institute of Chemical Engineering, Politecnico di Torino, 10129 Torino, Italy; email: daniele.marchisio@polito.it.
  • Marchisio D; Department of Applied Science and Technology, Institute of Chemical Engineering, Politecnico di Torino, 10129 Torino, Italy; email: daniele.marchisio@polito.it.
Annu Rev Chem Biomol Eng ; 11: 339-366, 2020 06 07.
Article in En | MEDLINE | ID: mdl-32250650
ABSTRACT
This review article discusses the solution of population balance equations, for the simulation of disperse multiphase systems, tightly coupled with computational fluid dynamics. Although several methods are discussed, the focus is on quadrature-based moment methods (QBMMs) with particular attention to the quadrature method of moments, the conditional quadrature method of moments, and the direct quadrature method of moments. The relationship between the population balance equation, in its generalized form, and the Euler-Euler multiphase flow models, notably the two-fluid model, is thoroughly discussed. Then the closure problem and the use of Gaussian quadratures to overcome it are analyzed. The review concludes with the presentation of numerical issues and guidelines for users of these modeling approaches.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Hydrodynamics Type of study: Health_economic_evaluation Language: En Journal: Annu Rev Chem Biomol Eng Year: 2020 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Hydrodynamics Type of study: Health_economic_evaluation Language: En Journal: Annu Rev Chem Biomol Eng Year: 2020 Document type: Article