Dynamic Modeling of Fine Coal Separations in a Hindered-bed Classifier
作者:
R. Q. HONAKER,
K. MONDAL,
期刊:
Coal Preparation
(Taylor Available online 2000)
卷期:
Volume 21,
issue 2
页码: 211-232
ISSN:0734-9343
年代: 2000
DOI:10.1080/07349340008945619
出版商: Taylor & Francis Group
关键词: Fine coal;hindered settling;gravity-based separations;dynamic modeling
数据来源: Taylor
摘要:
Hindered-bed classifiers have recently received significant attention for the potential of achieving effective density-based separations. Although the fundamental principles of hindered-bed classifiers are relatively simple, the complex interactions between the operating parameters provide a degree of difficulty that hinders the ability for on-line plant optimization. Thus, a dynamic population balance model was developed to evaluate and optimize the separation performance achievable on the basis of density by a hindered-bed classifier for the cleaning of fine coal. The steady-state results of the model include partition curves as a function of particle size and density as well as metallurgical data. A statistical comparison of the simulation results with those obtained from industrial units reveal a high level of accuracy with adjusted R2 values greater than 0.95. Simulation results indicate the potential for efficient density-based separations over a particle size range of 3:1.
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