2023
DOI: 10.1021/acs.iecr.2c03546
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Toward High-Order CFD-DEM: Development and Validation

Abstract: CFD-DEM is used to simulate solid−fluid systems. DEM models the motion of discrete particles while CFD models the dynamics of the fluid phase. Coupling both necessitates the calculation of the void fraction and the solid−fluid forces resulting in a computationally expensive method. Additionally, evaluating volume-averaged quantities locally restricts particle to cell size ratios limiting the accuracy of the CFD. To mitigate these limitations, we develop a unified finite element CFD-DEM solver which integrates … Show more

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Cited by 15 publications
(12 citation statements)
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“…We aim at validating our void fraction scheme by studying its effect on fluidization. For this purpose, we simulate using the CFD-DEM solver in Lethe the same flat bubbling spouted bed as Wu et al and we compare with their simulation results as well as the experimental results and the simulation results by Bokkers et al It is important to note that Wu et al and Bokkers et al used the hard sphere model in their simulations for the DEM. However, our solver uses the soft sphere model.…”
Section: Flat Bubbling Spouted Bedmentioning
confidence: 97%
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“…We aim at validating our void fraction scheme by studying its effect on fluidization. For this purpose, we simulate using the CFD-DEM solver in Lethe the same flat bubbling spouted bed as Wu et al and we compare with their simulation results as well as the experimental results and the simulation results by Bokkers et al It is important to note that Wu et al and Bokkers et al used the hard sphere model in their simulations for the DEM. However, our solver uses the soft sphere model.…”
Section: Flat Bubbling Spouted Bedmentioning
confidence: 97%
“…In order to demonstrate the spatial and temporal continuity of the quadrature-centered method void fraction scheme, we simulate a test case of particle sedimentation in water using the CFD-DEM solver in Lethe. 30 We compare this method with two different void fraction schemes: the particle-centered method and the satellite point method. Only these methods are evaluated as they represent well-known methods frequently used and which are relatively simple to implement in a software parallelized using distributed memory parallelization (MPI).…”
Section: ■ Particle Sedimentationmentioning
confidence: 99%
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