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Bazin, C., Sadeghi, M., Bourassa, M., Roy, P., Lavoie, F., Cataford, D., Rochefort, C. and Gosselin, C. (2014) Size Recovery Curves of Minerals in Industrial Spirals for Processing Iron Oxide Ores. Minerals Engineering, 65, 115-123.
https://doi.org/10.1016/j.mineng.2014.05.012

has been cited by the following article:

• TITLE: The Use of Process Analysis and Simulation to Identify Paths to Improve the Operation of an Iron Ore Gravity Concentration Circuit

  AUTHORS: Maryam Sadeghi, Claude Bazin

  KEYWORDS: Iron Ore, Gravity Separation, Spiral Concentrators, Hematite, Hydraulic Clas-sifier, Particle Size, Partition Curves

  JOURNAL NAME: Advances in Chemical Engineering and Science, Vol.10 No.3, June 9, 2020

  ABSTRACT: The processing of iron ore to recover the valuable iron oxide minerals is commonly carried out using spiral concentrators that separate valuable minerals from non-valuable ones on the basis of the specific gravity of minerals. This paper shows that the analysis of the operation of spirals should not only focus on the minerals (as it is usually the case), but should also consider the particle size of these minerals. Indeed, the sampling of two industrial iron ore circuits and the data processing of the resulting measurements show that unexpectedly about 10% of the coarse heavy iron oxide minerals are not recovered by the spirals of the two circuits. Tests conducted by an independent research center confirm this plant observation. The pilot plant tests also show that the wash water flowrate addition may adversely affect the recovery of coarse heavy mineral particles. A mathematical model for the spiral was implemented into a simulator for an iron ore gravity concentration circuit. The simulator shows a potential 0.7% increase of iron recovery by simply changing the strategy used to distribute the wash water between the rougher and the cleaner/recleaner spirals of the circuit. The simulator also shows that the introduction of a hydraulic classifier into the gravity concentration circuit yields a marginal improvement to the performances of the circuit.