Optimization of complex coal preparation flowsheets

Rong R.X. (1992) Optimization of complex coal preparation flowsheets. International Journal of Mineral Processing, 34 1-2: 53-69. doi:10.1016/0301-7516(92)90015-O

Author Rong R.X.
Title Optimization of complex coal preparation flowsheets
Journal name International Journal of Mineral Processing   Check publisher's open access policy
ISSN 0301-7516
Publication date 1992-01-01
Sub-type Article (original research)
DOI 10.1016/0301-7516(92)90015-O
Open Access Status Not yet assessed
Volume 34
Issue 1-2
Start page 53
End page 69
Total pages 17
Subject 1900 Earth and Planetary Sciences
1906 Geochemistry and Petrology
1909 Geotechnical Engineering and Engineering Geology
Abstract A simulation package was developed to model the size reduction and separation process commonly used in Chinese coal preparation plants. the data for the simulation package was collected in coal preparation plants in China, and supplemented by data collected at the Julius Kruttschnitt Mineral Research Centre, during studies of dense medium separators. The new or improved models developed are: (1) a roll crusher model; (2) a rotary breaker model; (3) an empirical model to predict the ash content of coal fractions after breakage; and (4) partition curve models for jigs and dense medium separators. These models were used in conjunction with existing process models to develop a simulation package for five size reduction and fourteen gravity separation flowsheets. These flowsheets can be combined to simulate the commonly used Chinese coal preparation circuits. The simulation program includes an optimization package to optimize: (1) screen apertures; (2) the separation densities for gravity separation devices; and (3) flotation time, so as to maximize the plant clean coal yield at a specified ash content. The Rosenbrock search technique was found to be the most suitable optimization method.
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Unknown

Document type: Journal Article
Sub-type: Article (original research)
Collection: Scopus Import - Archived
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Citation counts: TR Web of Science Citation Count  Cited 2 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 5 times in Scopus Article | Citations
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