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

- 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:
(2023) Use of Continuous Flotation Operation Data from Plant Surveys to Characterise Ore for Scale-Up PurposesMLA: 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.