Cellular automaton-based simulation of bulk stacking and recovery.
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Data
2022
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Resumo
Stockpiling is a key issue in bulk material handling. A small-scale, quasi-two-dimensional
physical model was used to investigate size segregation during stacking and gravitational
reclaim of stockpiles and to compare experimental results to those ones generated by a
simplified mathematical model. This mathematical model is based on cellular automata
and was used to simulate size segregation in conical stockpiles of non-cohesive granular
material and gravity flow during its reclaim, through a ground level discharge opening. The
present model has taken into account only three particle size class. Banded layers of fine,
medium-sized, and coarse particles appear during the pile growth. These stratification
patterns have been observed during stockpile formation both in the physical model and in
the cellular automaton-based model. Also, experiments in both physical and cellular
automaton-based model were carried out to quantify the particle size time evolution of
granular material leaving the discharge opening during reclaim. Furthermore, the cellular
automaton-based model has successfully simulated segregation phenomena during grav-
itational discharging, as well as the topological features of segregation during stockpiling
and reclaim.
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Palavras-chave
Granular material, Stockpile, Granular flow, Modeling
Citação
CASTRO, M. H. de; LUZ, J. A. M. da; MILHOMEM, F. de O. Cellular automaton-based simulation of bulk stacking and recovery. Journal of Materials Research and Technology, v. 16, p. 263-275, 2022. Disponível em: <https://www.sciencedirect.com/science/article/pii/S2238785421014071>. Acesso em: 29 abr. 2022.