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Prediction of froth flotation responses based on various conditioning parameters by Random Forest method
Tarbiat Modares University, Tehran, Iran.
University of Michigan, Ann Arbor, USA.ORCID iD: 0000-0002-2265-6321
Islamic Azad University, Islamshahr, Iran.
2017 (English)In: Colloids and Surfaces A: Physicochemical and Engineering Aspects, Vol. 529, p. 936-941Article in journal (Refereed) Published
Abstract [en]

Flotation procedure is a combination of many sub-processes which make its modeling quite complicated. Therefore, it is essential to use a method that can identify the most explanatory variables (feature selection) before modeling. Random forest (RF) with its associated variable importance measurements (VIMs) is an intelligent tool that has many advantages over other typical modeling methods This study investigated the effect of various flotation variables (particle characteristics: size (d1), and circularity (Cp) and hydrodynamicconditions: bubble Reynolds number (Reb), energy dissipation (ε), and bubble surface area flux (Sb)), on the flotation rate constant “k” and recovery “R” by VIM of RF, and predicted them based on the selected variables by RF models. VIMs indicated that the most effective variables for the k and R prediction were Sb-Reb-ε and d1-Cp-Sb, respectively. The predictive models yield satisfactory results for k and R with R2 = 0.96 and 0.97, respectively which demonstrate the robustness of RF as a prediction tool. These outputs verify that RF model can be used for feature selections and model developments within various complicated systems in mineral processing and separation techniques.

Place, publisher, year, edition, pages
Elsevier, 2017. Vol. 529, p. 936-941
Keywords [en]
Froth flotation, Recovery, Modeling, Particle characteristics, Hydrodynamic conditions, Random forest
Identifiers
URN: urn:nbn:se:ltu:diva-72256DOI: 10.1016/j.colsurfa.2017.07.013OAI: oai:DiVA.org:ltu-72256DiVA, id: diva2:1280992
Available from: 2019-01-21 Created: 2019-01-21 Last updated: 2019-01-21Bibliographically approved

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Chelgani, Saeed Chehreh

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf