Aghel, Babak ; Alobaid, Falah ; Graf, Christoph ; Epple, Bernd (2024)
Efficiency Analysis of the Discrete Element Method Model in Gas‐Fluidized Beds.
In: Chemical Engineering & Technology, 2024, 47 (1)
doi: 10.26083/tuprints-00027243
Article, Secondary publication, Publisher's Version
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Item Type: | Article |
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Type of entry: | Secondary publication |
Title: | Efficiency Analysis of the Discrete Element Method Model in Gas‐Fluidized Beds |
Language: | English |
Date: | 21 May 2024 |
Place of Publication: | Darmstadt |
Year of primary publication: | January 2024 |
Place of primary publication: | Weinheim |
Publisher: | Wiley-VCH |
Journal or Publication Title: | Chemical Engineering & Technology |
Volume of the journal: | 47 |
Issue Number: | 1 |
DOI: | 10.26083/tuprints-00027243 |
Corresponding Links: | |
Origin: | Secondary publication DeepGreen |
Abstract: | The efficiency and accuracy of the Euler‐Lagrange/discrete element method model were investigated. Accordingly, the stiffness coefficient and fluid time step were changed for different particle numbers and diameters. To derive the optimum parameters for simulations, the obtained results were compared with the measurements. According to the results, the application of higher stiffness coefficients improves the simulation accuracy slightly, however, the average computing time increases exponentially. For time intervals larger than 5 ms, the results indicated that the average computation time is independent of the applied fluid time step, while the simulation accuracy decreases extremely by increasing the size of the fluid time step. Nevertheless, using time steps smaller than 5 ms leads to negligible improvements in the simulation accuracy, though to an exponential rise in the average computing time. |
Uncontrolled Keywords: | Discrete element method, Euler‐Lagrange model, Gas‐fluidized bed, Particle‐grid method, Stochastic collision model |
Status: | Publisher's Version |
URN: | urn:nbn:de:tuda-tuprints-272431 |
Classification DDC: | 600 Technology, medicine, applied sciences > 620 Engineering and machine engineering |
Divisions: | 16 Department of Mechanical Engineering > Institut für Energiesysteme und Energietechnik (EST) |
Date Deposited: | 21 May 2024 13:50 |
Last Modified: | 23 May 2024 10:23 |
SWORD Depositor: | Deep Green |
URI: | https://tuprints.ulb.tu-darmstadt.de/id/eprint/27243 |
PPN: | 518465667 |
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