Predicting average void fraction and void fraction uncertainty in fixed beds of poly-lobed particles - Archive ouverte HAL Access content directly
Journal Articles Industrial and engineering chemistry research Year : 2019

Predicting average void fraction and void fraction uncertainty in fixed beds of poly-lobed particles

(1) , (1) , (1) , (1) , (2) , (3)
1
2
3

Abstract

Random packed beds of cylindrical, trilobic, and quadrilobic particles in cylindrical and biperiodic containers are numerically studied using Grains3D, a code based on the discrete element method (DEM) that resolves all inelastic collisions and dynamically simulates the loading of packed beds. Particle initial position and orientation are random to mimic industrial or laboratory packing procedures, so that the same simulation repeated again yields a different packed bed structure and thus a different average void fraction. These ”in silico” experiments aim at being able to optimize particle shape in heterogeneous catalysis, in particular with respect to the corresponding bed void fraction that is a critical parameter for pressure drop prediction. These “in silico” experiments are deterministic and accurate but with differences due to the loading procedure. In this paper, we first present our assessment of the uncertainty on average void fraction induced by (i) the initial random position and orientation of inserted particles and (ii) the insertion zone size. Next we investigate the effect of particle shape, namely cylindrical, trilobic, and quadrilobic on the average void fraction as a function of particle length and diameter, and of the container type. Simple correlations are proposed that very well describe the simulations within the aforementioned uncertainty related to the packing procedure. Although the beds made with cylindrical particles are markedly denser, the beds made of the trilobic and quadrilobic particles have a statistically identical void fraction.
Fichier principal
Vignette du fichier
Predicting Average Void Fraction.pdf (1.36 Mo) Télécharger le fichier
Vignette du fichier
appendix Predicting average.pdf (167.83 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-02090443 , version 1 (04-04-2019)

Licence

Attribution - CC BY 4.0

Identifiers

Cite

Matthieu Rolland, Andriarimina Daniel Rakotonirina, Anaïs Devouassoux, José Luis Barrios Goicetty, Jean-Yves Delenne, et al.. Predicting average void fraction and void fraction uncertainty in fixed beds of poly-lobed particles. Industrial and engineering chemistry research, 2019, 58 (9), pp.3902-3911. ⟨10.1021/acs.iecr.8b05557⟩. ⟨hal-02090443⟩
160 View
8227 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More