Towards a Medium Behaviour Based Performance Model for Coal-Washing Dense Medium Cyclones

Wood C.J., Davis J.J. and Lyman G.J. (1989) Towards a Medium Behaviour Based Performance Model for Coal-Washing Dense Medium Cyclones. Coal Preparation, 7 3-4: 183-197. doi:10.1080/15455838909407965

Author Wood C.J.
Davis J.J.
Lyman G.J.
Title Towards a Medium Behaviour Based Performance Model for Coal-Washing Dense Medium Cyclones
Journal name Coal Preparation
ISSN 1545-5831
Publication date 1989-01-01
Sub-type Article (original research)
DOI 10.1080/15455838909407965
Open Access Status DOI
Volume 7
Issue 3-4
Start page 183
End page 197
Total pages 15
Language eng
Subject 1500 Chemical Engineering
1909 Geotechnical Engineering and Engineering Geology
2102 Curatorial and Related Studies
2103 Historical Studies
2210 Mechanical Engineering
Abstract Models which have been presented in the literature consider only selected aspects of dense medium cyclone operation, are empirical in nature and generally relate only to severely limited ranges of operating parameters. This paper reports progress towards development of a more comprehensive and robust model. The data base consists of partitioning parameters developed using density tracers and conventional coal sampling and analysis techniques, together with recordings of parameters such as cyclone dimensions, feed pressure, medium size distribution and product media densities. These data were drawn from 15 Australian coal preparation plants. To eludicate the effects of important operating parameters on medium behaviour and on the partitioning of large particles a series of pilot scale tests were also conducted. The present model consists of eight sub-models which relate to particular aspects of dense medium cyclone operation such as medium flowrates and densities, or size-by-size separation densities and Eps. The model structure follows a logical progression which clearly demonstrates the importance of understanding medium behaviour before attempting to predict partitioning performance. The model also attempts to define the conditions under which yield losses due to unstable “surging” discharge may occur. An example of application of the model is presented with a comparison of observed and predicted performance parameters. Further data acquisition and model refinement are planned for certain aspects of the model.
Q-Index Code C1
Institutional Status Unknown

Document type: Journal Article
Sub-type: Article (original research)
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