Determining an optimal interstitial filling condition: An Attainable Region approach
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Date
2018
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier
Abstract
In this article, we present yet another application of the Attainable Region (AR) method to data from a laboratory
scale milling of a low grade gold ore. In this particular case, we investigate how to optimize the amount of
material in a desired size class for a scenario where the boundaries of the desired size class of interest
are changed. The AR approach has never been applied in such a scenario before. Using a mono sized feed
of − 1700 + 850 μm, two desired product size classes of interest (− 850 + 150 μm and − 150 + 75 μm)
are selected in order to determine the optimum interstitial filling (U) to be used in the mill. Two different values
of U, 1.75 and 1.0 respectively, are obtained as optimal. Our results also show that optimal operating conditions
are different for different objective functions. We demonstrate that the AR may be used to specify optimal
conditions that may be used for particle size reduction processes. We also illustrate how an AR boundary for
optimization purposes can in certain cases be extended using the ‘mixing principle’.
Description
Journal Article
Keywords
Objective function, Attainable Region (AR), Milling, Mixing, Optimization
Citation
Hlabangana N. et al. 2018. Determining an optimal interstitial filling condition: An Attainable Region approach.