An open-source computational framework for the solution of the bivariate population balance equation

被引:3
作者
Singh, Deepak Kumar [1 ]
Brito-Parada, Pablo R. [2 ]
Bhutani, Gaurav [1 ]
机构
[1] Indian Inst Technol Mandi, Kamand 175005, Himachal Prades, India
[2] Imperial Coll London, South Kensington Campus, London SW7 2AZ, England
关键词
Polydisperse flow; Bivariate population balance equation; DQMOM; Finite element method; Open-source; Computational fluid dynamics; DIRECT QUADRATURE METHOD; MOMENT-CONSERVING METHOD; MASS-TRANSFER; NUMERICAL-SOLUTION; STIRRED-TANK; CFD CODES; SIMULATION; AGGREGATION; BREAKAGE; MODELS;
D O I
10.1016/j.compchemeng.2022.107780
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The bivariate population balance equation (PBE) is a mathematical framework to explain the evolution of polydisperse multiphase systems. In this work, the direct quadrature method of moments (DQMOM) is implemented in an open-source CFD code, Fluidity , for the numerical solution of bivariate PBE. This efficient numerical framework is a highly-parallelised finite element (FE) CFD code that allows for the use of mesh adaptivity on fully-unstructured meshes. Various test cases to solve spatially homogeneous bivariate PBEs with aggregation, breakage, growth and dispersion were simulated and verified against analytical solutions, resulting in excellent agreement. Benchmarking, by comparison with the Monte Carlo method solutions from the literature, with realistic kernels in a gas-liquid system for simultaneous bivariate aggregation and breakage was also performed to show the feasibility of this implementation for realistic applications. This open-source framework demonstrates its impressive potential in the case of bivariate PBE and can be exploited for the simulation of complex polydisperse multiphase systems.(c) 2022 Elsevier Ltd. All rights reserved.
引用
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页数:17
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