Imperial College London
Portrait Picture

Dr Pablo Brito-Parada

Faculty of Engineering, Department of Earth Science & Engineering

Reader in Sustainable Minerals Processing
 
 
 
//

Contact

 

+44 (0)20 7594 9980p.brito-parada Website

 
 
//

Location

 

2.55Royal School of MinesSouth Kensington Campus

//

Summary

 

Publications

Citation

BibTex format

@article{Singh:2022:10.1016/j.compchemeng.2022.107780,
author = {Singh, DK and Brito-Parada, PR and Bhutani, G},
doi = {10.1016/j.compchemeng.2022.107780},
journal = {Computers & Chemical Engineering},
pages = {107780--107780},
title = {An open-source computational framework for the solution of the bivariate population balance equation},
url = {http://dx.doi.org/10.1016/j.compchemeng.2022.107780},
volume = {161},
year = {2022}
}
Download

RIS format (EndNote, RefMan)

TY  - JOUR
AB  - 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.
AU  - Singh,DK
AU  - Brito-Parada,PR
AU  - Bhutani,G
DO  - 10.1016/j.compchemeng.2022.107780
EP  - 107780
PY  - 2022///
SN  - 0098-1354
SP  - 107780
TI  - An open-source computational framework for the solution of the bivariate population balance equation
T2  - Computers & Chemical Engineering
UR  - http://dx.doi.org/10.1016/j.compchemeng.2022.107780
UR  - http://sciencedirect.com/science/article/pii/S0098135422001211?via%3Dihub
UR  - http://hdl.handle.net/10044/1/97120
VL  - 161
ER  -
Download