DEM investigation of shear flows of binary mixtures of non-spherical particles

Yang, Jiecheng; Guo, Yu; Buettner, Kevin E.; Curtis, Jennifer

doi:10.1016/j.ces.2019.03.027

Cited by 29 publications

(11 citation statements)

References 26 publications

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“…The effect of particle shape was investigated by Baran et al 5 and results shown that the shear stress for spherical particles was considerably lower than that of aspherical particles. Shear stress for aspherical particles were found larger than that for spherical ones, for both monodisperse 6 and binary mixtures 7 . The internal friction angle was increased by preventing particle rotation 8 .…”

Section: Introductionmentioning

confidence: 81%

Experimental and Numerical Investigations of the Shear Behavior of Binary Particle Blends

Yang

Bunchatheeravate

Thakur

et al. 2020

Preprint

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In this study, a Schulze Ring Shear Tester and the Discrete Element Method (DEM) are employed to investigate the effect of polydispersity on the binary shear flows. Both experimental results and DEM simulations show that the pre-shear stresses are greater for binary blends than for monodispersed particles. The flowability of these mixtures is strongly affected by the solid fraction, with minimal flow function values correlating to maximum packing fraction. However, minimum flow function values are not observed at the same packing fractions where the maximum pre-shear stress occurs. The powder friction has a slightly higher contribution to powder strength than powder adhesion, and the frictional component follows the same trend as shear stress with mixture composition. Using DEM, it is demonstrated that the addition of small adhesive particles reduces the averaged angular velocity of the larger particles, which makes a contribution to the larger shear stress for binary blends.

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Section: Introductionmentioning

confidence: 81%

Experimental and Numerical Investigations of the Shear Behavior of Binary Particle Blends

Yang

Bunchatheeravate

Thakur

et al. 2020

Preprint

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“…Consequently, the DEM can introduce cohesive forces, such as van der Waals force (Sakai et al, 2012) and liquid bridge force (Dhenge et al, 2013;Tsunazawa et al, 2016;Chan and Washino, 2018;Schmelzle and Nirschl, 2018;Sun and Sakai, 2018;Sakai et al, 2019). Very recently, modeling of the particle shape has been extensively studied in the DEM (Zhou et al, 2011;Govender et al, 2019;Kafashan et al, 2019;Nie et al, 2019;Shrestha et al, 2019;Yang et al, 2019). In contrast, the continuum media have been simulated using the SPH and the MPS methods, which have been consistently employed in the computation of free surface fluid flows, such as droplet impingement (Xiong et al, 2010(Xiong et al, , 2011, free surface fluid flow through porous media (Sun et al, 2019), discharge of highly viscous fluid flow (Sun et al, 2012), and wave migration (Shibata et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

Recent Progress on Mesh-free Particle Methods for Simulations of Multi-phase Flows: A Review

Sakai

Mori

Sun

et al. 2020

KONA

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The discrete element method (DEM) and the moving particle semi-implicit (MPS) method are the most popular mesh-free particle methods in the discontinuum and continuum. This paper describes a state-of-the-art modeling on multi-phase flows using these mesh-free particle methods. Herein, a combinational model of the signed distance function (SDF) and immersed boundary method (IBM) is introduced for an arbitrary-shaped wall boundary in the DEM simulation. Practically, this model uses a simple operation to create the wall boundary. Although the SDF is a scalar field for the wall boundary of the DEM, it is useful for the wall boundary of the CFD through combination with the IBM. Validation tests are carried out to demonstrate the adequacy of the SDF/IBM wall boundary model. Regarding the mesh-free particle method for continuum, the phase change problem is one of the challenging topics, as the solid state is usually modeled by extremely high viscous fluid in the phase change simulation. The phase change simulation is shown to be efficiently performed through an implicit algorithm and a heat flux model in the MPS method. The adequacy of these models is verified by the numerical examples.

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“…Previous work of granular mixtures mainly focused on differences in particle size and density, and the effects of particle shape differences in a mixture were much less studied. Yang et al [21] performed DEM simulations of shear flows of binary mixtures with large oval and rod-like particles and small spheres. They found that the particle projected area in the plane perpendicular to the flow direction played an important role.…”

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confidence: 99%

Discrete Element Method Investigation of Binary Granular Flows with Different Particle Shapes

Liu

Yang

et al. 2020

Energies

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The effects of particle shape differences on binary mixture shear flows are investigated using the Discrete Element Method (DEM). The binary mixtures consist of frictionless rods and disks, which have the same volume but significantly different shapes. In the shear flows, stacking structures of rods and disks are formed. The effects of the composition of the mixture on the stacking are examined. It is found that the number fraction of stacking particles is smaller for the mixtures than for the monodisperse rods and disks. For binary mixtures with small particle shape differences, the mixture stresses are bounded by the stresses of the two corresponding monodisperse systems. However, for binary mixtures with large particle shape differences, the stresses of the mixtures can be larger than the stresses of the monodisperse systems at large solid volume fractions because larger differences in particle shape cause geometrical interference in packing, leading to stronger particle–particle interactions in the flow. The stresses in dense binary mixtures are found to be exponential functions of the order parameter, which is a measure of particle alignment. Based on the simulation results, an empirical expression for the bulk friction coefficient (ratio of the shear stress to normal stress) for dense binary flows is proposed by accounting for the effects of particle alignment and solid volume fraction.

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DEM investigation of shear flows of binary mixtures of non-spherical particles

Cited by 29 publications

References 26 publications

Experimental and Numerical Investigations of the Shear Behavior of Binary Particle Blends

Experimental and Numerical Investigations of the Shear Behavior of Binary Particle Blends

Recent Progress on Mesh-free Particle Methods for Simulations of Multi-phase Flows: A Review

Discrete Element Method Investigation of Binary Granular Flows with Different Particle Shapes

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