Determination of Metal and Mineral Flotation Performance at one of Falconbridge’s Base Metal Operations

Canadian Institute of Mining, Metallurgy and Petroleum
Martyn P. Hay Dominic Fragomeni Tony DiFeo
Organization:
Canadian Institute of Mining, Metallurgy and Petroleum
Pages:
36
File Size:
639 KB
Publication Date:
Jan 1, 2006

Abstract

"As part of an investigation into flotation modelling of industrial scale operations, Falconbridge Ltd organised a “blind” test of the SUPASIM flotation model developed by Eurus Mineral Consultants (EMC). Two sets of rougher rate data, a flowsheet and the number and size of cells in the rougher bank were supplied from a plant that had been previously surveyed in November 2003. The name of the plant, cleaner circuit details and circuit mass balance were, at the time, unknown to EMC. With only these data, flotation performance was simulated and the cleaner circuit sizedFalconbridge then compared predicted and actual float performance and mass balance and found that final concentrate recovery and mass and circuit cell volume matched closely. Simulated recoveries relative to actual were +0.4% Cu, +0.1% Ni and -0.7% Co. However, prediction of metal distribution in the internal streams making up the various circulating loads showed some sizeable errors. On this initial success, the trial was extended and additional float test data for rougher feed, cleaner feed and cleaner scavenger feed was generated on site in April 2005. Further simulations significantly improved prediction accuracy for metal distribution in the internal streams. The average difference between predicted and actual recovery for all streams was reduced from 10.5% to 0.4%. This updated simulation was then used to ascertain the impact on final recovery, grade and plant circulating loads of increasing feed tonnage from 114 to 150t/hr. A number of scenarios were simulated in order to understand the contribution that (a) the fast and slow floating fractions and (b) regrinding of cleaner tailings are making to overall plant recovery.Simulation was then used to determine how much the flotation kinetics of both rougher feed and cleaner scavenger feed have to increase in order to deliver a 1.5% improvement in overall plant recovery. These improved kinetic values provide a target for laboratory testwork and operating conditions can be varied to determine how best to achieve these new values of fraction and rate."
Citation

APA: Martyn P. Hay Dominic Fragomeni Tony DiFeo  (2006)  Determination of Metal and Mineral Flotation Performance at one of Falconbridge’s Base Metal Operations

MLA: Martyn P. Hay Dominic Fragomeni Tony DiFeo Determination of Metal and Mineral Flotation Performance at one of Falconbridge’s Base Metal Operations. Canadian Institute of Mining, Metallurgy and Petroleum, 2006.

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