Assessment of model parameters in MFiX particle-in-cell approach

Vaidheeswaran, Avinash; Gel, Aytekin; Clarke, Mary Ann; Rogers, William A.

doi:10.1016/j.apt.2021.06.011

Cited by 5 publications

(1 citation statement)

References 35 publications

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“…The present work aims to compare ways of simulating their presence and emergence in the pipelines within the Laser Metal Deposition (LMD) equipment, especially in the final length of thin tubing inside the nozzle. Using OpenFOAM's denseParticleFoam library [20], the objective is to compare a fully coupled, unresolved CFD-DEM simulation with a less computationally expensive MP-PIC one [21] [22], even though the latter requires more empirical parameters [23]. If the two methods are both compatible with the phenomenon, their results should agree to a certain measure, otherwise one has to be preferred over the other.…”

Section: Introductionmentioning

confidence: 99%

Comparison of CFD-DEM and MP-PIC in the Simulation of Metal Powder Conveying for Laser Metal Deposition

Pedrolli,

Achiaga Menor,

Martinez de Arenaza

et al. 2024

OpenFOAM J

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Pneumatic conveying of fine powders is essential for many industrial processes, including Laser Metal Deposition (LMD), a Direct Metal Additive Manufacturing (DMAM) technology that builds solid objects layer-by-layer using a laser to melt metal powder. To optimize the process, it is necessary to have a correct understanding of the powder’s behaviour under the process condition. The coupled Computational Fluid Dynamics - Discrete Element Modelling (CFD-DEM) and MultiPhase - Particle In Cell (MP-PIC) are two popular Eulerian-Lagrangian models to simulate particle laden flows. This study compares them to analyse powder behaviour in a small channel of LMD machines. Results from the two methods differ significantly, with CFD-DEM offering a more accurate representation of the physical reality, while MP-PIC is more computationally efficient. The study finds that the CFD-DEM method produces higher fluctuations in the solids flow rate due to the formation of particle clusters, while MP-PIC displays a smooth and essentially uniform flow. The results suggest that CFD-DEM should be used for more accurate and detailed studies of solids flow rate in pneumatic conveying systems, while MP-PIC can be used for preliminary studies and design optimization.

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Section: Introductionmentioning

confidence: 99%

Comparison of CFD-DEM and MP-PIC in the Simulation of Metal Powder Conveying for Laser Metal Deposition

Pedrolli,

Achiaga Menor,

Martinez de Arenaza

et al. 2024

OpenFOAM J

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Sensitivity analysis of the dynamics of fine and ultrafine particles using DEM

Leszczyński

2022

Nonlinear Dyn

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In this paper, we focus on particle–particle and particle–wall interactions considering tiny particle dimensions and the processes and phenomena arising from the contact dynamics. This has the important implication that the discrete element method can be used for large-scale computations as well as for tiny particles, i.e. particles with fine and ultrafine dimensions. Particular attention is paid to the granular cohesion dynamics where the particles interact prior to their physical stick. We investigate the sensitivity of the interactions, i.e. we assess how particle size distribution, frictional forms of particle–particle and particle–wall collisions and Van der Waals or liquid cohesive forces shape the particle motions. Through computations, we show how neglecting the above features influences computations of particle positions and particle linear and angular velocities over time.

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Revisiting a large-scale FCC riser reactor with a particle-scale model

Chen

et al. 2022

Chemical Engineering Science

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Assessment of model parameters in MFiX particle-in-cell approach

Cited by 5 publications

References 35 publications

Comparison of CFD-DEM and MP-PIC in the Simulation of Metal Powder Conveying for Laser Metal Deposition

Comparison of CFD-DEM and MP-PIC in the Simulation of Metal Powder Conveying for Laser Metal Deposition

Sensitivity analysis of the dynamics of fine and ultrafine particles using DEM

Revisiting a large-scale FCC riser reactor with a particle-scale model

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