Castro, Matheus Henrique deLuz, José Aurélio Medeiros daMilhomem, Felipe de Orquiza2022-09-212022-09-212022CASTRO, 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. 2022.2238-7854http://www.repositorio.ufop.br/jspui/handle/123456789/15454Stockpiling 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.en-USabertoGranular materialStockpileGranular flowModelingArtigo publicado em periodicoThis is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Fonte: o PDF do artigo.https://doi.org/10.1016/j.jmrt.2021.11.127