Mineral Processing and Grinding Open access Peer reviewed

Reprocessing cassiterite tailings using gravity preconcentration, comminution with efficient classification, and single stage gravity separation of the liberated minerals

Margaret Amosah, K.P. Galvin

Minerals Engineering | Nov 2, 2026

Abstract

Abstract

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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Authors

Researchers on this paper

Margaret Amosah

first | University of Newcastle Australia

K.P. Galvin

last | University of Newcastle Australia | ORCID 0000-0003-0450-9990

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BibTeX

@article{Amosah2026Reprocessing,
  title = {Reprocessing cassiterite tailings using gravity preconcentration, comminution with efficient classification, and single stage gravity separation of the liberated minerals},
  author = {Margaret Amosah and K.P. Galvin},
  journal = {Minerals Engineering},
  year = {2026},
  doi = {10.1016/j.mineng.2026.111028},
  url = {https://doi.org/10.1016/j.mineng.2026.111028}
}

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