Our responses to the comments by Asterios Pantokratoras (POWTEC-D-21-01318) on the paper “Comprehensive analysis of fluid-particle interactions in a liquid-solid fluidized bed via CFD-DEM coupling and tomography, H. Zbib, M. Ebrahimi, F. Ein-Mozaffari, A. Lohi, Powder Technology, 340(2018), 116–130”

Two methods for solving coupled particle dynamics and flow field equations simultaneously by considering fluid-particle interactions to simulate two-phase flow are presented and compared. In many conditions, such as magnetic micro mixers and shooting high velocity particles in fluid, the fluid-particle interactions can not be neglected. In these cases it is necessary to consider fluid-particle interactions and solve the related coupled equations simultaneously. To solve these equations, suitable algorithms should be used to improve convergence speed and solution accuracy. In this paper two algorithms for solving coupled incompressible Navier-Stokes and particle dynamics equations are proposed and their efficiencies are compared by using them in a computer program. The main criterion that is used for comparison is the time they need to converge for a specific accuracy. In the first algorithm the particle dynamics and flow field equations are solved simultaneously but separately. In the second algorithm in each iteration for solving flow field equations, the particle dynamics equation is also solved. Results for some test cases are presented and compared. According to the results the second algorithm is faster than the first one especially when there is a strong coupling between phases.

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A novel algorithm of immersed moving boundary scheme for fluid–particle interactions in DEM–LBM

Computer Methods in Applied Mechanics and Engineering ◽

10.1016/j.cma.2018.12.001 ◽

2019 ◽

Vol 346 ◽

pp. 109-125 ◽

Cited By ~ 13

Author(s):

Min Wang ◽

Y.T. Feng ◽

D.R.J. Owen ◽

T.M. Qu

Keyword(s):

Moving Boundary ◽

Fluid Particle ◽

Particle Interactions ◽

Novel Algorithm

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Hydrodynamic analysis of a liquid-solid fluidized bed via cfd-dem simulations, stability analysis, and tomography

10.32920/ryerson.14654139 ◽

2021 ◽

Author(s):

Hussein Zbib

Keyword(s):

Stability Analysis ◽

Fluidized Bed ◽

Volume Fraction ◽

Particle Volume Fraction ◽

Percentage Error ◽

Particle Interactions ◽

Particle Volume ◽

Computational Fluid Dynamics Cfd ◽

The Difference ◽

Dem Model

A coupled computational fluid dynamics (CFD) and discrete element method (DEM) model was developed to analyze the fluid-particle and particle-particle interactions in a 3D liquid-solid fluidized bed (LSFB). The CFD-DEM model was validated using the Electrical Resistance Tomography (ERT) experimental method. ERT was employed to measure the bed-averaged particle volume fraction (BPVF) of 0.002 m glass beads fluidized with water for various particle numbers and flow rates. It was found that simulations employing the combination of the Gidaspow drag model with pressure gradient and virtual mass forces provided the least percentage error between experiments and simulations. It was also found that contact parameters must be calibrated to account for the particles being wet. The difference between simulations and experiments was 4.74%. The CFD-DEM model was also employed alongside stability analysis to investigate the hydrodynamic behavior within the LSFB and the intermediate flow regime for all cases studied.

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