Investigating internal classification within gravity induced stirred mills

Hasan, Maruf, Palaniandy, Sam, Hilden, Marko and Powell, Malcolm (2016) Investigating internal classification within gravity induced stirred mills. Minerals Engineering, 95 5-13. doi:10.1016/j.mineng.2016.05.019


Author Hasan, Maruf
Palaniandy, Sam
Hilden, Marko
Powell, Malcolm
Title Investigating internal classification within gravity induced stirred mills
Journal name Minerals Engineering   Check publisher's open access policy
ISSN 0892-6875
1872-9444
Publication date 2016-09
Year available 2016
Sub-type Article (original research)
DOI 10.1016/j.mineng.2016.05.019
Open Access Status Not yet assessed
Volume 95
Start page 5
End page 13
Total pages 9
Place of publication Kidlington, Oxford, United Kingdom
Publisher Pergamon Press
Collection year 2017
Language eng
Formatted abstract
Stirred milling technology has become an indispensable process in the mineral processing industry. Many ore deposits classified in the past as “untreatable” have been economically extracted enabled by improvements in this technology. Gravity induced stirred mills are widely used in the industry, but the effect of classification above the grinding zone (referred as internal classification zone) is not well understood. The authors have conducted research to develop a process model for the gravity induced stirred mill. An integral part of this study is to understand and develop a predictive model for the internal classification zone above the grinding region. A rising bed classifier has been designed, and a series of experiments were carried out by varying the slurry solids concentration and flow velocity to replicate the gravity induced stirred mill classification effect. The results show that the internal classification effect is significant when the slurry is dilute and flow velocity in the mill is low. The cut size (d50C) coarsened from 158 μm to 2040 μm and sharpness of the cut (α) increased from 0.18 to 0.84 with a rise in slurry solids concentration (v/v) from 26% to 46% and flow velocity from 10 mm/s to 21 mm/s. The model developed from this data can be combined with the population balance model to simulate the internal classifier effect of an industrial scale gravity induced stirred mill.
Keyword Gravity induced stirred mill
Internal classification
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: HERDC Pre-Audit
Sustainable Minerals Institute Publications
 
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