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This paper addresses a longstanding, four-decade, problem in recovering cassiterite from tailings. The tailings feed had a grade of 0.3 wt.% tin, liberation size of 45 microns, with ~50% of the tin finer than 20 microns, and the rest distributed over a particle size range to ~300 microns. The feed was subjected to preconcentration using a 4th Generation REFLUX Classifier, achieving a mass rejection of 95 ±1%, grade of 2.8 ±0.1% tin, and overall tin recovery of 48 ±4% (tin recovery of 80% beyond 20 microns). With such a high mass rejection, there was insufficient material to feed the second stage. Hence, it was necessary to source alternative concentrate from the operation at the mine, at a reduced grade of 1.7% tin. This preconcentrated material was then subjected to efficient classification using a modified REFLUX Classifier, a GradePro, as part of a simulated milling circuit. The key feature of the classification was the elimination of by-pass, hence the avoidance of overgrinding. The milled concentrate then underwent gravity separation in a GradePro, achieving a further 94 ±0.5% mass rejection, further upgrade of 15, and recovery of 89 ±1%. The approach adopted in this study offers a powerful approach to achieving liberation, recovery, and very significant upgrade, offering a viable and efficient alternative to conventional multi-stage processing, particularly for low-grade ores or tailings.
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Amosah et al. (2026) studied this question.
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