Prediction of underflow medium density in dense medium cyclones

Napier-Munn, T. J., Scott, I. A., Tuteja, R., Davis, J. J. and Kojovic, T. (1992). Prediction of underflow medium density in dense medium cyclones. In: L. Svarovsky and M. T. Thew, Hydrocyclones: Analysis and Applications. Proceedings. 4th International Conference on Hydrocyclones, Southampton, UK, (191-214). 23-25 September, 1992. doi:10.1007/978-94-015-7981-0_13


Author Napier-Munn, T. J.
Scott, I. A.
Tuteja, R.
Davis, J. J.
Kojovic, T.
Title of paper Prediction of underflow medium density in dense medium cyclones
Conference name 4th International Conference on Hydrocyclones
Conference location Southampton, UK
Conference dates 23-25 September, 1992
Proceedings title Hydrocyclones: Analysis and Applications. Proceedings   Check publisher's open access policy
Journal name Fluid Mechanics and Its Applications   Check publisher's open access policy
Place of Publication Dordrecht, Netherlands
Publisher Springer Netherlands
Publication Year 1992
Sub-type Fully published paper
DOI 10.1007/978-94-015-7981-0_13
Open Access Status
ISBN 0792318765
9780792318767
9789048141807
9789401579810
ISSN 0926-5112
2215-0056
Editor L. Svarovsky
M. T. Thew
Volume 12
Start page 191
End page 214
Total pages 24
Language eng
Formatted Abstract/Summary
The prediction of the underflow medium density, ρu, in a dense medium cyclone is important, both because many empirical and phenomenological models of DMC performance incorporate ρu as an independent variable, and for plant design purposes. This paper reviews the published correlations for ρu, and presents some recent work on the subject. Three approaches have been used: empirical regression equations, correlations based on dimensional reasoning, and methods based on modelling the classification of the medium in the cyclone. The latter method has been successful in some cases, but suffers from a sensitivity to the accurate determination of certain parameters, particularly water recovery. Correlations based on dimensional reasoning give good results within a particular dataset, and show some extrapolative power, but more comprehensive datasets will be required to provide correlations of more general applicability.
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Conference Paper
Collection: Julius Kruttschnitt Mineral Research Centre Publications
 
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Created: Thu, 16 Apr 2015, 12:01:30 EST by Karen Holtham on behalf of Julius Kruttschnitt Mineral Research Centre