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

Ayeni, Oladapo; Wu, Chunliang; Joshi, Jyeshtharaj B.; Nandakumar, K.

doi:10.1016/j.powtec.2015.06.038

Cited by 28 publications

(3 citation statements)

References 34 publications

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“…Yamamoto et al examined density-induced segregation and argued that the difference in mobility of particles is the major cause for the segregation. There are also some studies focusing on the combined effects of size- and density-induced segregation. − Jiang et al studied the mixing process of irregular sand and gravel materials by DEM with contact parameters calibrated experimentally. They carried out orthogonal analysis and found that rotation speed is the most important factor that influences mixing, with a confidence level of over 95%, and the diameter of the drum is the least significant.…”

Section: Introductionmentioning

confidence: 99%

A Discrete Element Method Study of Monodisperse Mixing of Ellipsoidal Particles in a Rotating Drum

Gan

Pinson³

et al. 2020

Ind. Eng. Chem. Res.

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Rotating drums are widely used in the industry for mixing, milling, coating, and drying processes. In the past decades, mixing of granular materials in rotating drums has been extensively investigated, but most of the studies are based on spherical particles. Particle shape has a significant effect on the flow behavior and thus mixing performance, but studies and understanding are still limited. In this work, discrete element method is employed to study the radial mixing of ellipsoids in a rotating drum. The effects of rotation speed and aspect ratio of ellipsoids on mixing quality and rate are investigated, and the underlying mechanisms are further developed. The results show that mixing index increases rapidly over time for both spheres and ellipsoids. Particles with various shapes of ellipsoids can reach wellmixed states after sufficient revolutions. The increase in rotation speed decreases the mixing rate for both spheres and ellipsoids. Generally, ellipsoids exhibit a higher mixing rate when the rotational speed ranges between 25 and 40 rpm. At 40 rpm, as the aspect ratio of ellipsoids deviates from 1.0, the mixing rate increases significantly and achieves the maximum when the aspect ratio is 0.75 or 1.5. A further increase in particle non-sphericity incurs a decrease in mixing rate. The increase in the deviation of aspect ratio from 1.0 contributes to stronger "slipping" of particles relative to the drum wall. Compared with ellipsoids, spheres have stronger diffusive mixing and weaker convective mixing in rolling or cascading regimes.

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Section: Introductionmentioning

confidence: 99%

A Discrete Element Method Study of Monodisperse Mixing of Ellipsoidal Particles in a Rotating Drum

Gan

Pinson³

et al. 2020

Ind. Eng. Chem. Res.

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“…The mean coordination number is defined as

\bar{c} = {\overset{c}{true}}_{Hom} + {\overset{c}{true}}_{Het}

, where

{\overset{c}{true}}_{Hom}

is the mean coordination number between particles of the same species. Ayeni et al and Chandratilleke et al used a similar approach to analyze mixing in single particle systems. Both simulated the mixing dynamics of spherical nonaggregated particles for mixing in different shaped tumblers using the discrete element method (DEM).…”

Section: Introductionmentioning

confidence: 99%

“…The mean coordination number is defined as Hom H et c c c = + , where Hom c is the mean coordination number between particles of the same species. Ayeni et al [17] and Chandratilleke et al [18][19][20] used a similar approach to analyze mixing in single particle systems. Both…”

mentioning

confidence: 99%

Quantitative Characterization of Mixing in Multicomponent Nanoparticle Aggregates

Baric

Grossmann

Koch

et al. 2018

Part & Part Syst Charact

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The application of nanosized multicomponent particles often requires tailored mixing characteristics. This involves mixing on primary particle level, on cluster level, or on aggregate level. This mixing is often evaluated qualitatively in 2D, based on image analyses. This work presents an approach to utilize the cluster size in combination with the heterogeneous coordination number as a quantitative measure for the mixing of clusters of more than three primary particles within nanosized aggregates in 3D. Therefore, nanoparticle aggregates formed by differently sized clusters are simulated and evaluated with respect to cluster size and coordination number. Subsequently, a method is introduced to generate 2D projections and mimic image analysis based on transmission electron microscopy images from flame‐made nanoparticles. This also includes the evaluation of the necessary visible area for each particle to be identified in the 2D image analysis. This leads to a correlation of the 2D projections and 3D simulations including a calibration to experimental data and enables the determination of a 3D heterogeneous coordination number and cluster size from 2D image analysis.

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DEM Applications to Granular Flows

2016

Coupled CFD‐DEM Modeling

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

Cited by 28 publications

References 34 publications

A Discrete Element Method Study of Monodisperse Mixing of Ellipsoidal Particles in a Rotating Drum

A Discrete Element Method Study of Monodisperse Mixing of Ellipsoidal Particles in a Rotating Drum

Quantitative Characterization of Mixing in Multicomponent Nanoparticle Aggregates

DEM Applications to Granular Flows

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