Efficiency Analysis of the Discrete Element Method Model in Gas‐Fluidized Beds

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 compare...

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Bibliographic Details
Published in:Chemical engineering & technology 2024-01, Vol.47 (1), p.108-116
Main Authors: Aghel, Babak, Alobaid, Falah, Graf, Christoph, Epple, Bernd
Format: Article
Language:English
Subjects:
Accuracy
Computational efficiency
Computing time
Diameters
Discrete element method
Euler‐Lagrange model
Fluidized beds
Gas‐fluidized bed
Particle‐grid method
Simulation
Stiffness coefficients
Stochastic collision model
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Summary: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. The efficiency and accuracy of the Euler‐Lagrange/discrete element method model by changing the stiffness coefficient and fluid time step for different particle numbers and diameters were investigated. According to the results, the higher stiffness coefficients improve the simulation accuracy slightly, however, the average computing time increased exponentially.
ISSN:0930-7516
1521-4125
DOI:10.1002/ceat.202200620