4.7 Article

Particle-based characterization and process modeling to comprehend the behavior of iron ores in drum-type wet low-intensity magnetic separation

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Article Engineering, Chemical

Particle-based characterization and classification to evaluate the behavior of iron ores in drum-type wet low-intensity magnetic separation

J. S. Guiral-Vega et al.

Summary: Magnetic separation is widely used in the mining industry, but its application has often overlooked the influence of ore properties and operating conditions on process selectivity. This study proposes a three-stage methodology to comprehensively characterize and classify iron ore, aiming to identify the links between ore properties, operating conditions, and process performance. The methodology integrates laboratory testing, particle-scale characterization, and data analysis to understand the behavior of ore in a magnetic separator. The acquired data can be used for decision-making and process modeling.

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