Coarse-grain dem modelling in fluidized bed simulation: A review
A Di Renzo, ES Napolitano, FP Di Maio - Processes, 2021 - mdpi.com
In the last decade, a few of the early attempts to bring CFD-DEM of fluidized beds beyond
the limits of small, lab-scale units to larger scale systems have become popular. The …
the limits of small, lab-scale units to larger scale systems have become popular. The …
[HTML][HTML] Discrete particle methods for engineering simulation: Reproducing mesoscale structures in multiphase systems
J Xu, P Zhao, Y Zhang, J Wang, W Ge - Resources Chemicals and …, 2022 - Elsevier
Most natural resources are processed as particle-fluid multiphase systems in chemical,
mineral and material industries, therefore, discrete particles methods (DPM) are reasonable …
mineral and material industries, therefore, discrete particles methods (DPM) are reasonable …
[HTML][HTML] Development of a robust Eulerian–Lagrangian model for the simulation of an industrial solid–fluid system
Y Mori, M Sakai - Chemical Engineering Journal, 2021 - Elsevier
The discrete elements method (DEM) coupled with computational fluid dynamics (CFD) is
widely employed in the numerical simulation of a multiphase flow including solid particles …
widely employed in the numerical simulation of a multiphase flow including solid particles …
Euler-Lagrange simulation of dense gas-solid flow with local grid refinement
P Zhao, J Xu, Q Chang, W Ge, J Wang - Powder Technology, 2022 - Elsevier
Euler-Lagrange method is powerful for studying dense gas-solid flow, where the Eulerian
grid is typically 3–5 times of particle diameter to ensure the accuracy of information mapping …
grid is typically 3–5 times of particle diameter to ensure the accuracy of information mapping …
Numerical simulation of fluidization: Driven by challenges
Y Zhang, J Xu, Q Chang, P Zhao, J Wang, W Ge - Powder Technology, 2023 - Elsevier
In the century-long development of fluidization technology, simulation methods have
evolved in response to scientific and engineering demands, which in turn have produced …
evolved in response to scientific and engineering demands, which in turn have produced …
Scale-up effect of residence time distribution of polydisperse particles in continuously operated multiple-chamber fluidized beds
B Lan, J Xu, P Zhao, Z Zou, J Wang, Q Zhu - Chemical Engineering Science, 2021 - Elsevier
A GPU-based, massively parallel coarse-grained CFD-DEM method was adapted to study
the scale-up effect of residence time distribution of polydisperse particles in continuously …
the scale-up effect of residence time distribution of polydisperse particles in continuously …
A GPU-based DEM model for the pebble flow study in packed bed: Simulation scheme and validation
Q Zou, N Gui, X Yang, J Tu, S Jiang - Powder Technology, 2023 - Elsevier
This study developed a GPU-based DEM (GPU-DEM) model for the pebble flow in the
packed bed. The details of the GPU-DEM scheme have been illustrated. The uniform mesh …
packed bed. The details of the GPU-DEM scheme have been illustrated. The uniform mesh …
Development of a filtered CFD-DEM drag model with multiscale markers using an artificial neural network and nonlinear regression
The accuracy of coarse-grained Euler–Lagrangian simulations of fluidized beds heavily
depends on the mesoscale drag models to account for the influences of the unresolved …
depends on the mesoscale drag models to account for the influences of the unresolved …
Data-driven identification of coherent structures in gas–solid system using proper orthogonal decomposition and dynamic mode decomposition
Spatiotemporal coherent structures are critical in quantifying the hydrodynamics of dense
gas–solid flows. In this study, two data-driven methods, proper orthogonal decomposition …
gas–solid flows. In this study, two data-driven methods, proper orthogonal decomposition …
Physics-informed dynamic mode decomposition for short-term and long-term prediction of gas-solid flows
Integration of physics principles with data-driven methods has attracted great attention in
recent few years. In this study, a physics-informed dynamic mode decomposition (piDMD) …
recent few years. In this study, a physics-informed dynamic mode decomposition (piDMD) …