Numerical methods for particle agglomeration and breakage in lid-driven cavity flows at low Reynolds numbers

Roy N, Dürr R, Bück A, Kumar J, Sundar S (2022)

Publication Type: Journal article

Publication year: 2022

Journal

Mathematics and Computers in Simulation Elsevier

Book Volume: 192

Pages Range: 33-49

DOI: 10.1016/j.matcom.2021.08.015

Abstract

In this paper, a rigorous computational study is carried out on the three numerical methods: cell average technique (CAT), weighted finite volume scheme (WFVS), and quadrature method of moments (QMOM). Each method is analyzed to solve the population balance equation coupled with hydrodynamics. Different test cases have been considered for aggregation, breakage, simultaneous aggregation and breakage processes with four different aggregation kernels and uniform breakage function. Both the advantages and disadvantages of those methods are thoroughly investigated for the PBE coupled with hydrodynamics. Based on accuracy and efficiency, it is recommended that the WFVS is a smart choice for computing number density and moments in the case of inhomogeneous PBE.

Authors with CRIS profile

Andreas Bück Professur für Partikeltechnik

Related research project(s)

Creation of functional particles and porous structures by spray drying (SFB 1411 - B02) Design of particulate products (SFB 1411) Jan. 1, 2020 - Dec. 31, 2023

Involved external institutions

Indian Institute of Technology Madras IN India (IN) Max-Planck-Institut für Dynamik komplexer technischer Systeme / Max Planck Institute for Dynamics of Complex Technical Systems DE Germany (DE) Indian Institute of Technology Kharagpur IN India (IN)

How to cite

APA:

Roy, N., Dürr, R., Bück, A., Kumar, J., & Sundar, S. (2022). Numerical methods for particle agglomeration and breakage in lid-driven cavity flows at low Reynolds numbers. Mathematics and Computers in Simulation, 192, 33-49. https://doi.org/10.1016/j.matcom.2021.08.015

MLA:

Roy, N., et al. "Numerical methods for particle agglomeration and breakage in lid-driven cavity flows at low Reynolds numbers." Mathematics and Computers in Simulation 192 (2022): 33-49.

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