Investigating the upper limit for applying the coarse grain model in a discrete element method examining mixing processes in a rolling drum

Kosaku, Yoshihiro; Tsunazawa, Yuki; Tokoro, Chiharu

doi:10.1016/j.apt.2021.08.039

Cited by 14 publications

(3 citation statements)

References 34 publications

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“…It is important to note that, even with recent advances in both DEM software and computer hardware, DEM simulations are still typically limited to billions of particles (Kosaku et al, 2021), whereas in industrial systems the required numbers may easily reach the trillions or quadrillions. As such, the methods described here are often used in conjunction with other methods, notably the coarse-graining technique introduced in the next section.…”

Section: Parallelisation and Gpu Accelerationmentioning

confidence: 99%

Numerical Modelling and Imaging of Industrial-Scale Particulate Systems: A Review of Contemporary Challenges and Solutions

Windows-Yule,

Benyahia,

Toson

et al. 2024

KONA

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Numerical modelling offers the opportunity to better understand, predict, and optimise the behaviours of industrial systems, and thus provides a powerful means of improving efficiency, productivity and sustainability. However, the accurate modelling of industrial-scale particulate and particle-fluid systems is, due to the complex nature of such systems, highly challenging. This challenge arises primarily from three factors: the lack of a universally accepted continuum model for particulate media; the computational expense of discrete particle simulations; and the difficulty of imaging industrial-scale systems to obtain validation data. In recent years, however, advances in software, hardware, theoretical understanding, and imaging technology have all combined to the point where, in many cases, these challenges are now surmountable-though some distance remains to be travelled. In this review paper, we provide an overview of the most promising solutions to the issues highlighted above, discussing also the major strengths and limitations of each.

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Section: Parallelisation and Gpu Accelerationmentioning

confidence: 99%

Numerical Modelling and Imaging of Industrial-Scale Particulate Systems: A Review of Contemporary Challenges and Solutions

Windows-Yule,

Benyahia,

Toson

et al. 2024

KONA

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show abstract

“…As for particle mixing, one commonly used factor, Lacey‐mixing‐index ( L ), quantifying the mixing performance [ 36–38 ] is applied in the present study. By definition, L is given by Equation ().

L = \frac{S_{0}^{2} - S^{2}}{S_{0}^{2} - S_{R}^{2}}

where

S_{0}^{2}

is the concentration variance in a segregated state;

S^{2}

is the instantaneous concentration variance in the statistical cell; and

S_{R}^{2}

is the concentration variance at fully mixed state.…”

Section: Simulation Detailsmentioning

confidence: 99%

“…As for particle mixing, one commonly used factor, Laceymixing-index (L), quantifying the mixing performance [36][37][38] is applied in the present study. By definition, L is given by Equation ( 16).…”

Section: Statistical Definitionmentioning

confidence: 99%

Numerical study of the mixing characteristics in an air swirling fluidized bed with monodisperse and multi‐sized particles

et al. 2023

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Powder mixers are used in many industries. In the present work, a new type of air swirling mixer was designed and optimized with eight horizontally arranged inlet pipes at the tangential inlet angle of 35°. The mixing of multi‐sized spherical particles (2.0, 3.0, 4.0, and 5.0 mm) was numerically investigated in the air swirling mixer by coupled computational fluid dynamics–discrete element method. The numerical results showed that multi‐sized particles achieved comparable mixing performance to monodisperse particles. The Lacey index for multi‐sized particles increased initially, and then reached a maximum value at 0.824. The upward velocity of the particles, , increased initially, and then decreased to zero along the bed height. The maximum value of occurred at a height of 40 mm. Particle radial velocity was larger near the wall than at the mixer tube centre area. The smallest particles aggregated in three layers. The collision number of the particles reached a maximum at bed height of 120 mm, which was consistent with the position of the maximum stress of the particles against the tube wall.

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Mechanochemical degradation treatment of TBBPA: A kinetic approach for predicting the degradation rate constant

Takaya

Xiao

Tsunazawa

et al. 2022

Advanced Powder Technology

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Investigating the upper limit for applying the coarse grain model in a discrete element method examining mixing processes in a rolling drum

Cited by 14 publications

References 34 publications

Numerical Modelling and Imaging of Industrial-Scale Particulate Systems: A Review of Contemporary Challenges and Solutions

Numerical Modelling and Imaging of Industrial-Scale Particulate Systems: A Review of Contemporary Challenges and Solutions

Numerical study of the mixing characteristics in an air swirling fluidized bed with monodisperse and multi‐sized particles

Mechanochemical degradation treatment of TBBPA: A kinetic approach for predicting the degradation rate constant

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