Process simulation in mineralogy-based geometallurgy of iron ores
(English)Manuscript (preprint) (Other academic)
The mineral processing simulation models can be classified based on the level that the feed stream to the plant and unit operations is described. The levels of modeling in this context is as bulk, mineral or element by size, and particle. Particle level modeling and simulation utilizes liberation data in the feed stream and is more sensitive to the variations in ore feed quality. Within the paper, results of simulation for two texturally different magnetite ore is demonstrated in bulk, mineral by size and particle level. The models were calibrated for one ore, and all the modeling levels show similar results, but for the other ore, the results differ. This is because, in the bulk level, the model assumes that magnetite, as well as other minerals, do not change their behavior if ore texture and grinding fineness are changed. In the mineral by size level, the assumption is that minerals behave identically in each size fraction even the ore texture changes. In the particle level, the assumption is that similar particles behave in the same way. The particle level approach gives more realistic results, and it can also be used in optimization, thus finding the most optimal processing way for different geometallurgical domains. In iron ores where iron minerals are highly liberated the particle level shows its power in the prediction of impurity levels rather than iron grade and recovery.
Geometallurgy, mineral liberation, particles, process modeling, simulation
Mineral and Mine Engineering
IdentifiersURN: urn:nbn:se:ltu:diva-62785OAI: oai:DiVA.org:ltu-62785DiVA: diva2:1085690