TY - JOUR
T1 - CFD-validated pore network modeling of packed beds of non-spherical particle
AU - Eghbalmanesh, Amirhossein
AU - Fathiganjehlou, Ali
AU - Rieder, David R.
AU - Hoogendoorn, Martijn
AU - Miloshevska, Marijana
AU - Baltussen, Maike W.
AU - Peters, E.A.J.F.
AU - Buist, Kay A.
AU - Kuipers, J.A.M.
PY - 2024/1/5
Y1 - 2024/1/5
N2 - In this work, the hydrodynamics inside packed beds of particles with different shapes are investigated: spherical, cylindrical, and cubical particles. The cylindrical and cubical geometries contain sharp ridges, which give rise to complicated pore geometries. In this study, Pore Network Modeling (PNM) validated with the Particle-Resolved Computational Fluid Dynamics (PR-CFD) simulations of packed beds with these non-spherical particles will be reported. The results show that the PNM predicts the same average flow behavior and pore pressure variations as PR-CFD. However, the PNM prediction of the pressure values is less accurate at the pore level compared to the PR-CFD for the cubical particles.
AB - In this work, the hydrodynamics inside packed beds of particles with different shapes are investigated: spherical, cylindrical, and cubical particles. The cylindrical and cubical geometries contain sharp ridges, which give rise to complicated pore geometries. In this study, Pore Network Modeling (PNM) validated with the Particle-Resolved Computational Fluid Dynamics (PR-CFD) simulations of packed beds with these non-spherical particles will be reported. The results show that the PNM predicts the same average flow behavior and pore pressure variations as PR-CFD. However, the PNM prediction of the pressure values is less accurate at the pore level compared to the PR-CFD for the cubical particles.
KW - Slender packed bed reactors
KW - Pore network modeling
KW - Particle-resolved computational fluid dynamics
KW - Immersed boundary method
KW - Hydrodynamics
KW - Non-spherical particles
UR - http://www.scopus.com/inward/record.url?scp=85175014079&partnerID=8YFLogxK
U2 - 10.1016/j.ces.2023.119396
DO - 10.1016/j.ces.2023.119396
M3 - Article
SN - 0009-2509
VL - 283
JO - Chemical Engineering Science
JF - Chemical Engineering Science
M1 - 119396
ER -