A discrete element model to predict the pressure-density relationship of blocky and angular ceramic particles under uniaxial compression

Mitra, Elena L.; Hazell, Paul J.; Ashraf, Mahmud

doi:10.1007/s10853-015-9344-y

Cited by 5 publications

(4 citation statements)

References 40 publications

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“…Materials 2020, 13,814 3 of 14 as labeled in Figure 1. A system of two solenoids (a) was mounted on a steel frame and they were connected to the cantilever pole (e) which is used to adjust the height of the drop.…”

Section: Micromechanical Impact Apparatusmentioning

confidence: 99%

“…Several studies employed the discrete element method (DEM) in the modeling and analysis of various problems, such as the mechanical behavior of ceramics [13], milling processes [14], fractures in concrete [15] and the simulation of granular flows [16]. In DEM, materials are represented as an assembly of spheres which interact according to physical laws.…”

Section: Introductionmentioning

confidence: 99%

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Effect of Grain Size and Surface Roughness on the Normal Coefficient of Restitution of Single Grains

2020

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The coefficient of restitution (COR) represents the fraction of pre-collision kinetic energy remained after the collision between two bodies. The COR parameter plays an important role in the discrete numerical analysis of granular flows or the design of protective barriers to reduce flow energy. This work investigated the COR for grain-block type impacts through comprehensive experiments using a custom-built impact loading apparatus. Glass balls of three different sizes were used as grains.The impact experiments were performed on three different types of materials as base blocks, namely brass, granite and rubber. Experiments on the brass block showed a decrease in COR values with increasing grain size. On the contrary, impacts on granite and rubber blocks showed an increase in COR values with increasing grain size. Additionally, the effect of surface roughness on the COR was investigated. It was revealed that the increase in surface roughness of either the grain or the block reduced the COR values due to the increased plastic deformations of surface asperities.

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Section: Micromechanical Impact Apparatusmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Effect of Grain Size and Surface Roughness on the Normal Coefficient of Restitution of Single Grains

2020

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“…Instead, it is discretized into interacting particle ensembles (two-dimensional disk (2D) and three-dimensional sphere (3D) are the main particle shape in space) by constructing particle ensembles into specimens of different geometries, utilizing a contact model forming interactions and iterative analysis based on Newton’s second law to make the macroscopic mechanical properties of the numerical specimen approach those of real materials [ 25 ]. Therefore, with the DEM method, the problems of discontinuities, high gradient variables, and remeshing in fracture or damage can be overcome [ 26 , 27 , 28 , 29 ]. The DEM method has been widely used to describe the macroscopic mechanical properties of materials, such as rock [ 30 , 31 ], soil [ 32 ], and concrete [ 33 ].…”

Section: Introductionmentioning

confidence: 99%

Compression-Softening Bond Model for Non-Water Reactive Foaming Polyurethane Grouting Material

Dong

Fang

et al. 2023

Polymers

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In this study, the uniaxial compression and cyclic loading and unloading experiments were conducted on the non-water reactive foaming polyurethane (NRFP) grouting material with a density of 0.29 g/cm3, and the microstructure was characterized using scanning electron microscope (SEM) method. Based on the uniaxial compression and SEM characterization results and the elastic-brittle-plastic assumption, a compression softening bond (CSB) model describing the mechanical behavior of micro-foam walls under compression was proposed, and it was assigned to the particle units in a particle flow code (PFC) model simulating the NRFP sample. Results show that the NRFP grouting materials are porous mediums consisting of numerous micro-foams, and with the increasing density, the diameter of the micro-foams increases and the micro-foam walls become thicker. Under compression, the micro-foam walls crack, and the cracks are mainly perpendicular to the loading direction. The compressive stress–strain curve of the NRFP sample contains the linear increasing stage, yielding stage, yield plateau stage, and strain hardening stage, and the compressive strength and elastic modulus are 5.72 MPa and 83.2 MPa, respectively. Under the cyclic loading and unloading, when the number of cycles increases, the residual strain increases, and there is little difference between the modulus during the loading and unloading processes. The stress–strain curves of the PFC model under uniaxial compression and cyclic loading and unloading are consistent with the experimental ones, well indicating the feasibility of using the CSB model and PFC simulation method to study the mechanical properties of NRFP grouting materials. The failure of the contact elements in the simulation model causes the yielding of the sample. The yield deformation propagates almost perpendicular to the loading direction and is distributed in the material layer by layer, which ultimately results in the bulging deformation of the sample. This paper provides a new insight into the application of the discrete element numerical method in NRFP grouting materials.

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“…However, this method is unable to demonstrate the aforementioned particulate scale behavior simply based on the continuum assumptions. In this case, the discrete element method (DEM) can improve the particulate scale understanding of the powder compaction process [29][30][31][32][33][34][35], while the effectiveness of DEM numerical simulation is largely limited to small deformation or lower relative density than 0.85 [31]. In recent years, to alleviate the restrictions and difficulties involved in the FEM and DEM modelling, the socalled multiparticle finite element method (MPFEM) has been introduced to comprehensively simulate the compaction process of various powders such as pure copper [36][37][38], Al [39], iron [40], composite Fe/Al [41], Al/SiC [42], and other ductile and brittle [43][44][45] powder mixtures.…”

Section: Introductionmentioning

confidence: 99%

Particulate Scale Numerical Investigation on the Compaction of TiC-316L Composite Powders

Wang

Han

et al. 2020

Mathematical Problems in Engineering

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This paper presents a numerical investigation on the 2D uniaxial die compaction of TiC-316L stainless steel (abbreviated by 316L) composite powders by the multiparticle finite element method (MPFEM). The effects of TiC-316L particle size ratios, TiC contents, and initial packing structures on the compaction process are systematically characterized and analyzed from macroscale and particulate scale. Numerical results show that different initial packing structures have significant impacts on the densification process of TiC-316L composite powders; a denser initial packing structure with the same composition can improve the compaction densification of TiC-316L composite powders. Smaller size ratio of 316L and TiC particles (R316L/RTiC = 1) will help achieve the green compact with higher relative density as the TiC content and compaction pressure are fixed. Meanwhile, increasing TiC content reduces the relative density of the green compact. In the dynamic compaction process, the void filling is mainly completed by particle rearrangement and plastic deformation of 316L particles. Furthermore, the contacted TiC particles will form the force chains impeding the densification process and cause the serious stress concentration within them. Increasing TiC content and R316L/RTiC can create larger stresses in the compact. The results provide valuable information for the formation of high-quality TiC-316L compacts in PM process.

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A discrete element model to predict the pressure-density relationship of blocky and angular ceramic particles under uniaxial compression

Cited by 5 publications

References 40 publications

Effect of Grain Size and Surface Roughness on the Normal Coefficient of Restitution of Single Grains

Effect of Grain Size and Surface Roughness on the Normal Coefficient of Restitution of Single Grains

Compression-Softening Bond Model for Non-Water Reactive Foaming Polyurethane Grouting Material

Particulate Scale Numerical Investigation on the Compaction of TiC-316L Composite Powders

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