Use of Continuous Flotation Operation Data from Plant Surveys to Characterise Ore for Scale-Up Purposes

The Southern African Institute of Mining and Metallurgy
R. B. Khumalo F. K. Mulenga
Organization:
The Southern African Institute of Mining and Metallurgy
Pages:
13
File Size:
361 KB
Publication Date:
Jan 1, 2023

Abstract

Sampling in a continuous flotation plant is always a challenge as these plants are meant for production and not research work. The continuous flotation operation used in this work produced three sets of data: the first was based on overall plant performance, done by sampling the feed, concentrate, and tails; the second was based on the roughers row cell-by-cell; the third set of results came from the cleaners/recleaners row cell-by-cell. The highest recovery results in all sets of data obtained lie in the particle size ranges of 40 μm and 100 μm, which is in agreement with results by other researchers in the same field. King’s theoretical (model) recovery proved to be able to fit the experimental data but there is still room for improvement as the sum of squared error ranged between 400– 1200. Data obtained in continuous flotation operation could be used with batch flotation test-work to characterize scale-up of flotation cells.
Citation

APA: R. B. Khumalo F. K. Mulenga  (2023)  Use of Continuous Flotation Operation Data from Plant Surveys to Characterise Ore for Scale-Up Purposes

MLA: R. B. Khumalo F. K. Mulenga Use of Continuous Flotation Operation Data from Plant Surveys to Characterise Ore for Scale-Up Purposes . The Southern African Institute of Mining and Metallurgy, 2023.

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