Modelling of shear zones during quasi-static granular silo flow using material point method (MPM)

Krzyżanowski, Jakub; Tejchman, J.; Sołowski, Wojciech Tomasz; Wójcik, Marcin

doi:10.1016/j.powtec.2020.10.001

Cited by 8 publications

(1 citation statement)

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“…The flow patterns shown in Figures and are classic and were observed by experiments on similar granular materials. − The localized shear bands were also captured using meshless numerical methods, including DEM and MPM . The conventional mesh-based numerical method can only predict averaged variable mapping, ,, with the only exception being the FEM coupled with arbitrary Lagrangian–Eulerian formulation adopted by Wójcik and Tejchman .…”

Section: Engineering Applicationsmentioning

confidence: 89%

SPH Modeling of Biomass Granular Flow: Engineering Application in Hoppers and Augers

Zhao,

Jin,

Ikbarieh

et al. 2024

ACS Sustainable Chem. Eng.

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Numerical modeling of granular biomass material flow in handling operations is indispensable to decipher flow upsets, commonly manifested as clogging and jamming in hoppers and augers. With a computational tool developed based on smoothed particle hydrodynamics (SPH), we simulated the hopper flow and auger feeding of six granular biomass materials. The good agreement between the experimental and numerical flow rates demonstrated the capability of the developed SPH solver in modeling the complicated flow of granular biomass materials. The impact of physical and numerical parameters is investigated, and the major results show that the hopper flow pattern is controlled by shear band evolution; hopper clogging is collectively influenced by the opening size, wall friction, and material packing, and the impact of material compressibility on the auger feed rate is minimal. These parametric studies validate the solver's robustness in simulating biomass flow in handling equipment and demonstrate that the SPH computational tool can provide insights about granular flow mechanics to facilitate handling equipment design and optimize handling operations.

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