LAPSE:2024.1265
Published Article

LAPSE:2024.1265
The Impact of Discrete Element Method Parameters on Realistic Representation of Spherical Particles in a Packed Bed
June 21, 2024
Abstract
Packed bed reactors play a crucial role in various industrial applications. This paper utilizes the Discrete Element Method (DEM), an efficient numerical technique for simulating the behavior of packed beds of particles as discrete phases. The focus is on generating densely packed particle beds. To ensure the model accuracy, specific DEM parameters were studied, including sub-step and rolling resistance. The analysis of the packed bed model extended to a detailed exploration of void fraction distribution along radial and vertical directions, considering the impact of wall interactions. Three different samples, spanning particle sizes from 0.3 mm to 6 mm, were used. Results indicated that the number of sub-steps significantly influences void fraction precision, a key criterion for comparing simulations with experimental results. Additionally, the study found that both loosely and densely packed beds of particles could be accurately represented by incorporating appropriate values for rolling friction. This value serves as an indicator of both inter-particle friction and friction between particles and the walls. An optimal rolling friction coefficient has been thereby suggested for the precise representation for the densely packed bed of spherical char particles.
Packed bed reactors play a crucial role in various industrial applications. This paper utilizes the Discrete Element Method (DEM), an efficient numerical technique for simulating the behavior of packed beds of particles as discrete phases. The focus is on generating densely packed particle beds. To ensure the model accuracy, specific DEM parameters were studied, including sub-step and rolling resistance. The analysis of the packed bed model extended to a detailed exploration of void fraction distribution along radial and vertical directions, considering the impact of wall interactions. Three different samples, spanning particle sizes from 0.3 mm to 6 mm, were used. Results indicated that the number of sub-steps significantly influences void fraction precision, a key criterion for comparing simulations with experimental results. Additionally, the study found that both loosely and densely packed beds of particles could be accurately represented by incorporating appropriate values for rolling friction. This value serves as an indicator of both inter-particle friction and friction between particles and the walls. An optimal rolling friction coefficient has been thereby suggested for the precise representation for the densely packed bed of spherical char particles.
Record ID
Keywords
discrete element method, packed bed, rolling friction, sub-steps, void fraction, wall effect
Subject
Suggested Citation
Ghasemi Monfared Z, Hellström JGI, Umeki K. The Impact of Discrete Element Method Parameters on Realistic Representation of Spherical Particles in a Packed Bed. (2024). LAPSE:2024.1265
Author Affiliations
Ghasemi Monfared Z: Department of Engineering Sciences and Mathematics, Luleå University of Technology, 971 87 Luleå, Sweden
Hellström JGI: Department of Engineering Sciences and Mathematics, Luleå University of Technology, 971 87 Luleå, Sweden [ORCID]
Umeki K: Department of Engineering Sciences and Mathematics, Luleå University of Technology, 971 87 Luleå, Sweden [ORCID]
Hellström JGI: Department of Engineering Sciences and Mathematics, Luleå University of Technology, 971 87 Luleå, Sweden [ORCID]
Umeki K: Department of Engineering Sciences and Mathematics, Luleå University of Technology, 971 87 Luleå, Sweden [ORCID]
Journal Name
Processes
Volume
12
Issue
1
First Page
183
Year
2024
Publication Date
2024-01-13
ISSN
2227-9717
Version Comments
Original Submission
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PII: pr12010183, Publication Type: Journal Article
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LAPSE:2024.1265
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https://doi.org/10.3390/pr12010183
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[v1] (Original Submission)
Jun 21, 2024
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