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Prediction of coal response to froth flotation based on coal analysis using regression and artificial neural network
Department of Mining Engineering, Science and Research Branch,Islamic Azad University.
Department of Mining Engineering, Science and Research Branch,Islamic Azad University.
Department of Mining Engineering, Shahid Bahonar University of Kerman, Iran.
Department of Mining Engineering, Research and Science Campus, Islamic Azad University, Iran.ORCID iD: 0000-0002-2265-6321
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2009 (English)In: Minerals Engineering, ISSN 0892-6875, Vol. 22, no 11, p. 970-976Article in journal (Refereed) Published
Abstract [en]

In this paper, the combustible value (i.e. 100-Ash) and combustible recovery of coal flotation concentrate were predicted by regression and artificial neural network based on proximate and group macerals analysis. The regression method shows that the relationships between (a) ln (ash), volatile matter and moisture (b) ln (ash), ln (liptinite), fusinite and vitrinite with combustible value can achieve the correlation coefficients (R2) of 0.8 and 0.79, respectively. In addition, the input sets of (c) ash, volatile matter and moisture (d) ash, liptinite and fusinite can predict the combustible recovery with the correlation coefficients of 0.84 and 0.63, respectively. Feed-forward artificial neural network with 6-8-12-11-2-1 arrangement for moisture, ash and volatile matter input set was capable to estimate both combustible value and combustible recovery with correlation of 0.95. It was shown that the proposed neural network model could accurately reproduce all the effects of proximate and group macerals analysis on coal flotation system.

Place, publisher, year, edition, pages
Elsevier, 2009. Vol. 22, no 11, p. 970-976
Keywords [en]
Coal, Neural networks, Froth flotation, Modeling
National Category
Mineral and Mine Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-72297DOI: 10.1016/j.mineng.2009.03.003ISI: 000269291800011Scopus ID: 2-s2.0-67651015205OAI: oai:DiVA.org:ltu-72297DiVA, id: diva2:1272024
Available from: 2018-12-18 Created: 2018-12-18 Last updated: 2019-02-25

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Chelgani, Saeed Chehreh

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CiteExportLink to record
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  • apa
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