Microscale Computational Modeling of the Infiltration of Suppressors into the Porous Surface of Iron Ore Pellets

Resumo

The mining industry faces significant challenges with dust emissions during the processing of iron ore pellets. This study employs microscale computational modeling using COMSOL Multiphysics software to simulate the biphasic flow of dust suppressants into the porous surface of pellets. The research aims to enhance the understanding of the interaction between suppressants and the porous matrix of the pellets, analyzing how this interaction affects infiltration efficiency and dust reduction effectiveness. The results demonstrate how certain key properties, such as the internal pore pressure field and the volumetric fraction of solution absorbed by porous channels, are influenced by changes in parameters related to the spraying process and the interaction between the suppressant and the pellet. The study contributes to the theoretical foundation necessary for future research and highlights the importance of understanding the factors that influence the process of mineral dust suppression, in alignment with environmental regulations and sustainable practices. The developed model serves as a valuable tool for engineers and researchers focused on improving the sustainability of mining operations.