An open-source computational framework for the solution of the bivariate population balance equation. (May 2022)
- Record Type:
- Journal Article
- Title:
- An open-source computational framework for the solution of the bivariate population balance equation. (May 2022)
- Main Title:
- An open-source computational framework for the solution of the bivariate population balance equation
- Authors:
- Singh, Deepak Kumar
Brito-Parada, Pablo R.
Bhutani, Gaurav - Abstract:
- Highlights: Solution for the bivariate population balance equation (PBE) presented. An open-source finite element framework, Fluidity, used for solving PBE. Direct quadrature method of moments (DQMOM) used for solving the PBE. Verification against analytical solution presented for spatially homogeneous cases. Benchmarking with Monte Carlo method for gas-liquid flow with realistic kernels. Abstract: 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 complexHighlights: Solution for the bivariate population balance equation (PBE) presented. An open-source finite element framework, Fluidity, used for solving PBE. Direct quadrature method of moments (DQMOM) used for solving the PBE. Verification against analytical solution presented for spatially homogeneous cases. Benchmarking with Monte Carlo method for gas-liquid flow with realistic kernels. Abstract: 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. … (more)
- Is Part Of:
- Computers & chemical engineering. Volume 161(2022)
- Journal:
- Computers & chemical engineering
- Issue:
- Volume 161(2022)
- Issue Display:
- Volume 161, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 161
- Issue:
- 2022
- Issue Sort Value:
- 2022-0161-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-05
- Subjects:
- Polydisperse flow -- Bivariate population balance equation -- DQMOM -- Finite element method -- Open-source -- Computational fluid dynamics
Chemical engineering -- Data processing -- Periodicals
660.0285 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00981354 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.compchemeng.2022.107780 ↗
- Languages:
- English
- ISSNs:
- 0098-1354
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3394.664000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 22263.xml