Analysis of heavy mineral gravity separations using partition curves based on grain-counting methods

Society for Mining, Metallurgy & Exploration
T. J. McKeon
Organization:
Society for Mining, Metallurgy & Exploration
Pages:
7
File Size:
176 KB
Publication Date:
Jan 1, 2005

Abstract

Partition curves are used to evaluate the separation performance of gravity-based concentrators. The partition curve is used to identify the nominal density cutpoint and relative sharpness of the separation. In addition, the graphical representation makes it possible to quickly identify the root cause of misplacement based on the characteristic shape of the partition curve. Partition curves have been traditionally constructed using data obtained from float-sink tests using heavy organic liquids. These toxic liquids are environmentally unfriendly and have been banned in several countries. Another method of establishing the partition curve is to introduce density tracers into the feed and plot the distribution to the lights and heavies. For heavy mineral separations, this approach is generally impractical due to the fine particle size. In addition, the partition data obtained using these existing techniques do not account for secondary factors such as particle shape that may influence the separation. In light of these problems, a methodology was developed for constructing partition curves using experimental data obtained from microscopic grain-counts. This technique, which essentially uses the different mineral species as density tracers, provides a powerful tool for evaluating heavy mineral separations. A case study is provided to demonstrate how this analytical approach can be used to assess and improve the separaton performance in an industrial upgrade plant.
Citation

APA: T. J. McKeon  (2005)  Analysis of heavy mineral gravity separations using partition curves based on grain-counting methods

MLA: T. J. McKeon Analysis of heavy mineral gravity separations using partition curves based on grain-counting methods. Society for Mining, Metallurgy & Exploration, 2005.

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