LAPSE:2023.35231
Published Article
LAPSE:2023.35231
Improvement of Relative DEM Time Step Range in Fast Fluidization Simulation of Type-A FCC Particles
Guorong Wu, Yanggui Li, Muhammad Israr
April 28, 2023
In many process engineering fields, gas-particle fluidized beds are widely used. In fluidized bed research, the discrete element method, or DEM, has been a powerful tool for design and operation purposes. However, with the use of Type-A powders, fluid catalytic cracking or FCC particles being classical cases, they have hardly been reported in DEM simulations of fast fluidization. This study paid close attention to the suitable selection of a stiffness constant and a DEM time step. To reflect their respective effects and complicated interactions, a so-called relative DEM time step was defined. The drag coefficient was correlated using the energy-minimization multi-scale (EMMS) approach to reasonably calculate the gas−solid interaction. Six representative cases with different relative time step values were chosen to simulate a micro-fluidized bed of Type-A FCC powders. The results showed that DEM employing EMMS-based drag force was able to greatly enlarge the suitable range of relative time steps in a fast fluidization simulation of Type-A powders. In addition, the typical macro flow structures of fast fluidization was successfully captured: axially dilute in the top and dense in the bottom, and radially dilute in the core and dense near the wall. Moreover, the distinct gas−solid backmixing, which is considered one of the most important pieces of evidence for the determination of fast fluidization regimes, was modeled. It was indicated that the EMMS-based drag model attenuated the overestimated drag force so that the soft-sphere contact model would be able to more appropriately deal with particle collision, and thus improve the suitable relative DEM time step range.
Keywords
DEM, FCC particle, fluidization, multiphase flow, Simulation
Suggested Citation
Wu G, Li Y, Israr M. Improvement of Relative DEM Time Step Range in Fast Fluidization Simulation of Type-A FCC Particles. (2023). LAPSE:2023.35231
Author Affiliations
Wu G: School of Mathematics and Statistics, Chongqing Three Gorges University, Chongqing 404020, China [ORCID]
Li Y: State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining 810016, China; College of Computer Science, Guangdong University of Science & Technology, Dongguan 523083, China
Israr M: Department of Information Technology, Hazara University, Mansehra 21300, Pakistan
Journal Name
Processes
Volume
11
Issue
4
First Page
1155
Year
2023
Publication Date
2023-04-10
Published Version
ISSN
2227-9717
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Original Submission
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PII: pr11041155, Publication Type: Journal Article
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LAPSE:2023.35231
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doi:10.3390/pr11041155
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Apr 28, 2023
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