Quantifying a black art: The electrostatic separation of mineral sands

Dance A.D. and Morrison R.D. (1992) Quantifying a black art: The electrostatic separation of mineral sands. Minerals Engineering, 5 7: 751-765. doi:10.1016/0892-6875(92)90244-4


Author Dance A.D.
Morrison R.D.
Title Quantifying a black art: The electrostatic separation of mineral sands
Journal name Minerals Engineering   Check publisher's open access policy
ISSN 0892-6875
Publication date 1992
Sub-type Article (original research)
DOI 10.1016/0892-6875(92)90244-4
Volume 5
Issue 7
Start page 751
End page 765
Total pages 15
Subject 1900 Earth and Planetary Sciences
1906 Geochemistry and Petrology
1909 Geotechnical Engineering and Engineering Geology
Abstract Mathematical models of high tension roll (HTR) and electrostatic plate (ESP) separators have been developed during recent research conducted into the Australian mineral sands industry. All machine, mineral and atmospheric variables have been incorporated into model structures which predict the performance of a single stage of separation. Multiple stage machines or dry plant circuits are simulated as a series of single stages. Each feed mineral is assigned a distribution of properties described by a mean charge relaxation time and a surface variance term. The separation of each mineral is then predicted from the interaction of these characteristics and the machine operating conditions. Model output is a complete description of all product streams. These models accurately predict full-scale separator performance under a wide range of operating conditions. A number of conclusions regarding the operation of electrostatic separators have emerged from the findings of this study. A commercial software package for mineral sands simulation - JKSimSand - is currently being used at the JKMRC to test the application of these models.
Keyword electrostatic plate
Electrostatic separation
high tension roll
mathematical models
mineral sands
simulation
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Unknown

Document type: Journal Article
Sub-type: Article (original research)
Collection: Scopus Import
 
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