Accurate void fraction calculation for three-dimensional discrete particle model on unstructured mesh

Wu, Chunliang; Zhan, Jie-Min; Li, Y.S.; Lam, Ka Se; Berrouk, Abdallah S.

doi:10.1016/j.ces.2008.11.014

Cited by 60 publications

(38 citation statements)

References 9 publications

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“…5a) were calculated as the sum of fluid forces acting on each particle multiplied by the particle (segment) volume fraction in the cell. 18,26 More details with respect to the implementation of the interphase coupling are given in the following subsections.…”

Section: Mathematical Model Governing Equationsmentioning

confidence: 99%

“…16,17 The analytical approach, however, was found to be largely limited to one-and twodimensional (1-D and 2-D) systems and for rather simple geometries with spherical particles. Wu et al 18 developed a three-dimensional (3-D) analytical approach for typical nonstructured meshes (i.e., tetrahedral, wedged, or hexahedral) and spherical particles by geometrical calculation. The implementation of the approach, however, requires all detailed information on the meshes (node, edge, face, cell, and interconnections between them).…”

Section: Introductionmentioning

confidence: 99%

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Influence of void fraction calculation on fidelity of CFD‐DEM simulation of gas‐solid bubbling fluidized beds

et al. 2014

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The correct calculation of cell void fraction is pivotal in accurate simulation of two‐phase flows using a computational fluid dynamics‐discrete element method (CFD‐DEM) approach. Two classical approaches for void fraction calculations (i.e., particle centroid method or PCM and analytical approach) were examined, and the accuracy of these methodologies in predicting the particle‐fluid flow characteristics of bubbling fluidized beds was investigated. It was found that there is a critical cell size (3.82 particle diameters) beyond which the PCM can achieve the same numerical stability and prediction accuracy as those of the analytical approach. There is also a critical cell size (1/19.3 domain size) below which meso‐scale flow structures are resolved. Moreover, a lower limit of cell size (1.63 particle diameters) was identified to satisfy the assumptions of CFD‐DEM governing equations. A reference map for selecting the ideal computational cell size and the suitable approach for void fraction calculation was subsequently developed. © 2014 American Institute of Chemical Engineers AIChE J, 60: 2000–2018, 2014

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Section: Mathematical Model Governing Equationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Influence of void fraction calculation on fidelity of CFD‐DEM simulation of gas‐solid bubbling fluidized beds

et al. 2014

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“…Conversely, an analytical method based on DPM was developed in order to take into account the fraction of a particle that belongs to each cell in the accurate calculation of void fraction. 26 …”

Section: Resultsmentioning

confidence: 97%

Blend uniformity and powder phenomena inside the continuous tumble mixer using DEM simulations

Florian-Algarin

Méndez

2014

AIChE Journal

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Powder mixing is an essential operation in pharmaceutical, food, and petrochemical industries. Pharmaceutical companies have been working in the implementation of continuous processes as an alternative to the batch process using the food and drug administration process analytical technology initiative. The main goal was to understand the mixing phenomena inside the continuous tumble mixer and monitor blend uniformity using discrete element method. Results demonstrated that the main mixing mechanism is convection similar to the common tumbling mixers. This mechanism is driven by the bulk flow of the particles, due to the mixer rotation. The simulations' results, demonstrated that the cohesion reduces the concentration variability due to the higher holdup, particle interactions, and mean residence time. The blend uniformity at the exit of the system was measured and a relationship between relative standard distribution, cohesion, and the collision frequency was found. V C 2014 American Institute of Chemical Engineers AIChE J, 61: [792][793][794][795][796][797][798][799][800][801] 2015

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“…This comes with a caveat that we have a scheme for accurately determining the volume fractions of each species in a given computational cell. Determining volume fractions of spherical particles in irregular and even regular shaped computational cells is not trivial but there are very reliable methodologies for doing so as in Wu et al [27]. Their method is fully analytic and can accurately calculate the volume fraction even for structured and unstructured finite volume type sample cells.…”

Section: Entropy Of Mixingmentioning

confidence: 97%

A discrete element method study of granular segregation in non-circular rotating drums

Ayeni

Joshi

et al. 2015

Powder Technology

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Accurate void fraction calculation for three-dimensional discrete particle model on unstructured mesh

Cited by 60 publications

References 9 publications

Influence of void fraction calculation on fidelity of CFD‐DEM simulation of gas‐solid bubbling fluidized beds

Influence of void fraction calculation on fidelity of CFD‐DEM simulation of gas‐solid bubbling fluidized beds

Blend uniformity and powder phenomena inside the continuous tumble mixer using DEM simulations

A discrete element method study of granular segregation in non-circular rotating drums

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