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CFD-DEM Fluidized Bed Drying Study Using a Coarse-Graining Technique
M J A de Munck1, E A J F Peters1, J A M Kuipers1
1Multiphase Reactors Group, Department of Chemical Engineering and Chemistry, Eindhoven University of Technology, P.O. Box 513, Eindhoven 5600 MB, The Netherlands.
Industrial & Engineering Chemistry Research
|December 11, 2023
Summary
Coarse-grained computational fluid dynamics-discrete element method (CFD-DEM) modeling enables larger fluidized bed simulations for industrial drying. This approach accurately captures particle temperature, density, and drying performance (Sherwood number).
Area of Science:
- Chemical Engineering
- Particle Technology
- Computational Science
Background:
- Fluidized beds are widely used in industrial drying processes.
- Computational fluid dynamics-discrete element method (CFD-DEM) enhances understanding of solids drying but faces computational limitations for large systems.
Purpose of the Study:
- To investigate the application of coarse-grained CFD-DEM scaling laws for simulating fluidized bed solids drying.
- To assess the computational efficiency and accuracy of coarse-graining for larger fluidized bed systems.
Main Methods:
- Implementation of coarse-graining CFD-DEM scaling laws.
- Simulation of fluidized beds under three different superficial gas velocities.
- Analysis of particle temperature, density, and Sherwood number.
Main Results:
- Accurate description of particle temperature and density was achieved.
- The Sherwood number, a key indicator of drying performance, was well-captured by the coarse-graining simulations.
- Coarse-graining significantly reduces computational cost, enabling larger system simulations.
Conclusions:
- Coarse-grained CFD-DEM is a viable and accurate method for simulating industrial fluidized bed drying.
- This approach overcomes computational limitations, allowing for the study of larger and more complex drying systems.
- The method provides reliable predictions of drying performance metrics like the Sherwood number.
