A model of dense medium cyclone performance

Wood, C. J. (1993) A model of dense medium cyclone performance. Coal Preparation, 12 1-4: 101-115. doi:10.1080/07349349308905112

Author Wood, C. J.
Title A model of dense medium cyclone performance
Journal name Coal Preparation   Check publisher's open access policy
ISSN 1545-5831
Publication date 1993-01-01
Sub-type Article (original research)
DOI 10.1080/07349349308905112
Open Access Status Not yet assessed
Volume 12
Issue 1-4
Start page 101
End page 115
Total pages 15
Language eng
Subject 2103 Fuel Technology
1909 Geotechnical Engineering and Engineering Geology
Abstract A mathematical model of the dense medium cyclone process has been developed by researchers at the JKMRC over a number of years. It has utilised empirical relationships between key performance criteria (such as cut point and E for the various size fractions) and cyclone geometry and operating parameters. This model is based on an extensive array of data collected from a large number of operating plants as well as pilot plant data. An alternative mechanistically derived model of dense medium cyclone performance based on balancing the terminal velocities of discrete particles due to the centrifugal force experienced in the cyclone against a random turbulent eddy velocity has also been developed from the separation model of Schubert and Neesse. This paper illustrates how the latter model has been integrated into the empirical but more comprehensive JKMRC model in an attempt to provide a more robust model capable of application to a wider range of cyclone operations. In addition, this allows and improved understanding of the key operating characteristics of dense medium cyclones.
Keyword coal
dense medium cyclone
raw feed
separation model
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: Scopus Import - Archived
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Citation counts: Scopus Citation Count Cited 14 times in Scopus Article | Citations
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Created: Fri, 22 Dec 2017, 04:33:54 EST