2020
DOI: 10.1016/j.powtec.2019.10.002
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Discrete element modeling of particle breakage considering different fragment replacement modes

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Cited by 66 publications
(37 citation statements)
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“…As already reported by Schönert [14] and recently observed by Zhou et al [38] using DEM simulations, the main cause for the drop in energy efficiency in particle bed breakage is the reduction in the voids that are caused by fine debris relocating themselves as a result of the application of high normal applied stresses. Such a drop in energy efficiency in compressed bed breakage is also evident in Figure 9 for specific energies higher than about 6 kWh/t.…”
Section: Blaine Specific Surface Areamentioning
confidence: 51%
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“…As already reported by Schönert [14] and recently observed by Zhou et al [38] using DEM simulations, the main cause for the drop in energy efficiency in particle bed breakage is the reduction in the voids that are caused by fine debris relocating themselves as a result of the application of high normal applied stresses. Such a drop in energy efficiency in compressed bed breakage is also evident in Figure 9 for specific energies higher than about 6 kWh/t.…”
Section: Blaine Specific Surface Areamentioning
confidence: 51%
“…Assessing limestone breakage response under confined conditions, Cabiscol et al [29] observed that the packing density reached a maximum of around 90% of the specific gravity of the material with particles with mean initial size of 236 µm, being equivalent to the value found by Wünsch et al [28] for different materials used in the production of pharmaceutics. On the other hand, recent works have attempted to assess particle bed behavior under confined conditions from computational simulations using the discrete element method (DEM) [37][38][39]. Besides DEM simulations, Garner et al [37] also showed several experimental results highlighting the ability to reach relative densities around 0.95 for a vertical stress of 150 MPa.…”
Section: Introductionmentioning
confidence: 99%
“…The formation of new cohesive bonds during the simulation would allow us in the future to reproduce the ductile-to-brittle transition in snow and thus the repetitive formation and reflection of compaction bands, as observed by Barraclough et al 2 . Additionally, implementing a particle breakage criterion 41 , 42 would enable us to simulate more complex types of localized deformation such as erratic and oscillatory compaction bands, observed in the compression of rice crispies 1 .…”
Section: Discussionmentioning
confidence: 99%
“…The formation of new cohesive bonds during the simulation would allow us in the future to reproduce the ductile-to-brittle transition in snow and thus the repetitive formation and reflection of compaction bands, as observed by Barraclough et al 2 . Additionally, www.nature.com/scientificreports/ implementing a particle breakage criterion 41,42 would enable us to simulate more complex types of localized deformation such as erratic and oscillatory compaction bands, observed in the compression of rice crispies 1 . Evaluating the conditions for the onset of localization of compacting shear bands or anticrack nucleation in porous rocks is a great challenge 5,43 and has implication for the understanding of deep earthquakes.…”
mentioning
confidence: 99%
“…With this approach, from one hand we control our computational cost but also represent particle characteristics as close as possible to laboratory experiments. Our DEM model is developed based on the open source software LIGGGHTS (Kloss et al 2012) as discussed extensively in our previous works (Dorostkar et al, 2017a(Dorostkar et al, , 2017bDorostkar andCarmeliet, 2018, 2019;Ren et al, 2019;Zhou et al, 2020). -b show the time series of macroscopic friction and thickness of granular gouge comparing the unbreakable (reference run with no fragmentation model) and breakable samples with = 40 MPa.…”
Section: -Methodsmentioning
confidence: 99%