Modelling of industrial particle and multiphase flows

Cleary, Paul W.; Hilton, James; Sinnott, Matt D.

doi:10.1016/j.powtec.2016.10.072

Cited by 63 publications

(24 citation statements)

References 64 publications

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“…maximize f x, subject to (8) where A 1 and b 1 are the matrices that store the coefficients of the left-hand side and right-hand side of the linear equations in (2), receptively; A 2 and b 2 are the matrices that store the coefficients of the left-hand side and right-hand side of the linear equations in (4) and (5), receptively. Note that A = [A 1 ; A 2 ], and b = [b 1 ; b 2 ].…”

Section: Center Of Massmentioning

confidence: 99%

“…Note that A = [A 1 ; A 2 ], and b = [b 1 ; b 2 ]. We can increase the error ε from zero gradually until a solution is found for the LP problem (8). In the case of the compact particle approximated at 90% volume coverage, a solution is found when ε = 0.7%.…”

Section: Center Of Massmentioning

confidence: 99%

“…Note that the LP problem (8) is identical to (7) when ε = 0%. Therefore, (8) can be used to obtain either exact or approximated solutions for clumps with low number of spheres. As the object function is to maximize the mass of one of the clump's component spheres, most of the rest spheres tend to have masses close to the mass lower bound.…”

Section: Center Of Massmentioning

confidence: 99%

“…As the object function is to maximize the mass of one of the clump's component spheres, most of the rest spheres tend to have masses close to the mass lower bound. In order to obtain a more evenly distributed mass set, we can add an extra variable m e to the end of x, and n cl constrains to (8): m i > m e where i = 1, 2, . .…”

Section: Center Of Massmentioning

confidence: 99%

See 3 more Smart Citations

Combined 3D thinning and greedy algorithm to approximate realistic particles with corrected mechanical properties

Yuan

2019

Granular Matter

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The shape of irregular particles has significant influence on micro-and macro-scopic behaviour of granular systems. This paper presents a combined 3D thinning and greedy set-covering algorithm to approximate realistic particles with a clump of overlapping spheres for discrete element method (DEM) simulations. First, the particle medial surface (or surface skeleton), from which all candidate (maximal inscribed) spheres can be generated, is computed by the topological 3D thinning. Then, the clump generation procedure is converted into a greedy set-covering (SCP) problem.To correct the mass distribution due to highly overlapped spheres inside the clump, linear programming (LP) is used to adjust the density of each component sphere, such that the aggregate properties mass, center of mass and inertia tensor are identical or close enough to the prototypical particle. In order to find the optimal approximation accuracy (volume coverage: ratio of clump's volume to the original particle's volume), particle flow of 3 different shapes in a rotating drum are conducted. It was observed that the dynamic angle of repose starts to converge for all particle shapes at 85% volume coverage (spheres per clump < 30), which implies the possible optimal resolution to capture the mechanical behaviour of the system.

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Section: Center Of Massmentioning

confidence: 99%

Section: Center Of Massmentioning

confidence: 99%

Section: Center Of Massmentioning

confidence: 99%

Section: Center Of Massmentioning

confidence: 99%

See 2 more Smart Citations

Combined 3D thinning and greedy algorithm to approximate realistic particles with corrected mechanical properties

Yuan

2019

Granular Matter

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“…Since then, it has been used in several research areas, e.g. coastal engineering [3][4][5][6][7], flooding forecast [8][9][10][11], solid body transport [12][13][14][15], soil mechanics [16][17][18][19][20], sediment erosion or entrainment processes [21][22][23][24], fastmoving non-Newtonian flows [25][26][27][28][29][30][31][32][33], flows in porous media [34][35][36], solute transport [37][38][39], turbulent flows [40][41][42] and multiphase flows [43][44][45][46][47], not to mention manifold industrial applications (see, for instance [48][49][50]…”

Section: Introductionmentioning

confidence: 99%

Free-Surface Flow Simulations with Smoothed Particle Hydrodynamics Method using High-Performance Computing

Altomare¹,

Viccione²,

Tagliafierro³

et al. 2018

Computational Fluid Dynamics - Basic Instruments and Applications in Science

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Today, the use of modern high-performance computing (HPC) systems, such as clusters equipped with graphics processing units (GPUs), allows solving problems with resolutions unthinkable only a decade ago. The demand for high computational power is certainly an issue when simulating free-surface flows. However, taking the advantage of GPU's parallel computing techniques, simulations involving up to 10 9 particles can be achieved. In this framework, this chapter shows some numerical results of typical coastal engineering problems obtained by means of the GPU-based computing servers maintained at the Environmental Physics Laboratory (EPhysLab) from Vigo University in Ourense (Spain) and the Tier-1 Galileo cluster of the Italian computing centre CINECA. The DualSPHysics free package based on smoothed particle hydrodynamics (SPH) technique was used for the purpose. SPH is a meshless particle method based on Lagrangian formulation by which the fluid domain is discretized as a collection of computing fluid particles. Speedup and efficiency of calculations are studied in terms of the initial interparticle distance and by coupling DualSPHysics with a NLSW wave propagation model. Water free-surface elevation, orbital velocities and wave forces are compared with results from experimental campaigns and theoretical solutions.

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Simulation of flow properties of differently shaped particles using the discrete element method

Berkinova

Yermukhambetova

Golman

2020

Comp Applic In Engineering

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Materials in a powder form are frequently used in various industries for the manufacturing of commodity and high‐value products. To properly design the powder‐handling equipment and powder processes, it is essential to know the powder flow properties that depend, among other parameters, on the particle shape. The nonspherical particles such as aggregates, cylinders, corn‐shaped particles, and fibers are often used in the industry. Recently, modeling approaches have been devised to simulate the powder flow and particle−particle interactions in powder processing. In this article, we discuss an educational module developed to introduce students to the modeling of powder processes with particles of various shapes and techniques used for the measurement of powder flow properties. The module was designed to support the undergraduate and graduate courses for chemical, material, mechanical, and civil engineering students. The survey revealed that the module increased students’ theoretical knowledge of the powder processing and developed practical skills in the modeling of powder processes.

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Modelling of industrial particle and multiphase flows

Cited by 63 publications

References 64 publications

Combined 3D thinning and greedy algorithm to approximate realistic particles with corrected mechanical properties

Combined 3D thinning and greedy algorithm to approximate realistic particles with corrected mechanical properties

Free-Surface Flow Simulations with Smoothed Particle Hydrodynamics Method using High-Performance Computing

Simulation of flow properties of differently shaped particles using the discrete element method

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