Three-dimensional morphological characteristics of particles in nature and its application for DEM simulation

Feng, Ze-Kang; Xu, Wenjie; Lubbe, Retief

doi:10.1016/j.powtec.2020.02.022

Cited by 31 publications

(8 citation statements)

References 48 publications

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“…3D morphological features of real blocks The spherical harmonic (SH) series were used in the past to represent and quantify the shape of aggregates, rock blocks and sand particles on the basis of 3D CT data (Garboczi, 2002;Masad et al, 2005;Zhou et al, 2015Zhou et al, , 2017Su & Yan, 2018;Feng et al,2020). Correspondingly, a new block particle can be constructed if a set of spherical harmonic series are created.…”

Section: Generation Approaches Of 3d Random Block and Fracture Modelsmentioning

confidence: 99%

3D modelling of soil-rock mixtures considering the morphology and fracture characteristics of breakable blocks

Zhang

Boldini

et al. 2021

Computers and Geotechnics

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Section: Generation Approaches Of 3d Random Block and Fracture Modelsmentioning

confidence: 99%

3D modelling of soil-rock mixtures considering the morphology and fracture characteristics of breakable blocks

Zhang

Boldini

et al. 2021

Computers and Geotechnics

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“…Laser scanning and computed tomography are increasingly widely used to obtain the point cloud of a particle's surface and study the morphology characteristics of different particles in nature [55]. After converting the 3D point cloud data into polar coordinates, established techniques can be used to extract the set of coefficients of a spherical harmonic expansion [54,56].…”

Section: Spherical Harmonics For Particle Shape Representationmentioning

confidence: 99%

A hierarchical, spherical harmonic-based approach to simulate abradable, irregularly shaped particles in DEM

Capozza

Hanley

2021

Powder Technology

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A novel approach is presented for simulating non-spherical particles in the discrete element method (DEM). A particle's shape is described through a hierarchy of representations using spherical harmonic expansions. The expansion is computed at nodes, obtained by discretising the particle's surface.A low-degree expansion, i.e., one containing few terms, is sufficient to approximate a particle's overall shape without any surface texture. Expansions are computed to high degrees only at interparticle contacts, rather than for the entire particle, which reduces the computational cost. The advantages of this approach include the ability to simulate a wide range of particle shapes and adaptive resolution depending on spatial and temporal considerations.An additional unique benefit is that changes of particle shape due to chipping can be captured in DEM for the first time. This is accomplished by progressively omitting more of the highest-degree terms from the expansion to give an increasingly smooth surface.

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“…Over the last 20 years ( Figure 1 a), more than 60 publications [ 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 ,…”

Section: Introductionunclassified

“…The digital data, collected with each scan, can feed directly into computed models about the particles and their behaviour in the granular assembly [ 27 , 47 , 48 , 54 ]. After early use of synchrotron beam lines [ 1 , 3 , 6 , 7 , 14 , 28 , 33 , 34 , 46 ], the emergence of laboratory X-ray CT instruments [ 2 , 4 , 8 , 9 , 10 , 11 , 12 , 13 , 18 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 30 , 31 , 32 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 47 , 48 , 49 , 50 , 51 , 52 , 54 , 55 , 57 , 58 , …”

Section: Introductionmentioning

confidence: 99%

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A Review of Particle Size Analysis with X-ray CT

2023

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Particle size and morphology analysis is a problem common to a wide range of applications, including additive manufacturing, geological and agricultural materials’ characterisation, food manufacturing and pharmaceuticals. Here, we review the use of microfocus X-ray computed tomography (X-ray CT) for particle analysis. We give an overview of different sample preparation methods, image processing protocols, the morphology parameters that can be determined, and types of materials that are suitable for analysis of particle sizes using X-ray CT. The main conclusion is that size and shape parameters can be determined for particles larger than approximately 2 to 3 μm, given adequate resolution of the X-ray CT setup. Particles composed of high atomic number materials (Z > 40) require careful sample preparation to ensure X-ray transmission. Problems occur when particles with a broad range of sizes are closely packed together, or when particles are fused (sintered or cemented). The use of X-ray CT for particle size analysis promises to become increasingly widespread, offering measurements of size, shape, and porosity of large numbers of particles within one X-ray CT scan.

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Three-dimensional morphological characteristics of particles in nature and its application for DEM simulation

Cited by 31 publications

References 48 publications

3D modelling of soil-rock mixtures considering the morphology and fracture characteristics of breakable blocks

3D modelling of soil-rock mixtures considering the morphology and fracture characteristics of breakable blocks

A hierarchical, spherical harmonic-based approach to simulate abradable, irregularly shaped particles in DEM

A Review of Particle Size Analysis with X-ray CT

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