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Application of flotation kinetics models to chalcopyrite flotation: determination of optimum flotation times.

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Title: Application of flotation kinetics models to chalcopyrite flotation: determination of optimum flotation times.
Authors: Şimşek, Selma1 (AUTHOR) selmasim@cumhuriyet.edu.tr, Kilinç, Turan2 (AUTHOR), Cebeci, Yakup3 (AUTHOR), Abbaker, Ahmed4 (AUTHOR)
Source: Journal of Dispersion Science & Technology. 2026, Vol. 47 Issue 7, p1295-1305. 11p.
Subject Terms: *Flotation, *Process optimization, *Copper sulfide, *Copper ores, *Mineral processing
Abstract: This study advances the field of flotation kinetics by deriving and comparing optimum flotation time equations for eight different kinetic models in chalcopyrite beneficiation. While Agar (1985) established the method for finding the optimum flotation time for his specific model, this research extends the application to multiple established flotation kinetic models, a calculation largely unexplored in flotation literature since Agar's work. Selective flotation data from ore samples (Gümüşhane, Türkiye) were fitted to eight kinetic models, all showing high correlation (R2 > 0.97) with experimental results. The optimum flotation times were calculated by equating each model's recovery rate derivatives for valuable minerals and gangue. This method revealed that most models predicted optimal times between 0.8 and 1.0 min, with one model diverging at 3.1 min. The Agar kinetic model (Model 7) demonstrated a superior fit for both chalcopyrite and gangue recovery curves. By deriving equations for multiple models, the study provides a comprehensive framework for comparing and selecting appropriate kinetic models in flotation circuit design. These equations offer valuable insights into the critical nature of precise timing in chalcopyrite flotation and highlight the importance of considering multiple kinetic models for process optimization. The derived equations contribute to more efficient and sustainable chalcopyrite beneficiation techniques, which are particularly relevant for processing lower-grade copper ores in industrial applications and expanding the toolkit available for researchers and practitioners in flotation kinetics optimization. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
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Header DbId: enr
DbLabel: Energy & Power Source
An: 193754415
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  Label: Title
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  Data: Application of flotation kinetics models to chalcopyrite flotation: determination of optimum flotation times.
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  Data: <searchLink fieldCode="AR" term="%22Şimşek%2C+Selma%22">Şimşek, Selma</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> selmasim@cumhuriyet.edu.tr</i><br /><searchLink fieldCode="AR" term="%22Kilinç%2C+Turan%22">Kilinç, Turan</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Cebeci%2C+Yakup%22">Cebeci, Yakup</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Abbaker%2C+Ahmed%22">Abbaker, Ahmed</searchLink><relatesTo>4</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Dispersion+Science+%26+Technology%22">Journal of Dispersion Science & Technology</searchLink>. 2026, Vol. 47 Issue 7, p1295-1305. 11p.
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  Data: *<searchLink fieldCode="DE" term="%22Flotation%22">Flotation</searchLink><br />*<searchLink fieldCode="DE" term="%22Process+optimization%22">Process optimization</searchLink><br />*<searchLink fieldCode="DE" term="%22Copper+sulfide%22">Copper sulfide</searchLink><br />*<searchLink fieldCode="DE" term="%22Copper+ores%22">Copper ores</searchLink><br />*<searchLink fieldCode="DE" term="%22Mineral+processing%22">Mineral processing</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This study advances the field of flotation kinetics by deriving and comparing optimum flotation time equations for eight different kinetic models in chalcopyrite beneficiation. While Agar (1985) established the method for finding the optimum flotation time for his specific model, this research extends the application to multiple established flotation kinetic models, a calculation largely unexplored in flotation literature since Agar's work. Selective flotation data from ore samples (Gümüşhane, Türkiye) were fitted to eight kinetic models, all showing high correlation (R2 > 0.97) with experimental results. The optimum flotation times were calculated by equating each model's recovery rate derivatives for valuable minerals and gangue. This method revealed that most models predicted optimal times between 0.8 and 1.0 min, with one model diverging at 3.1 min. The Agar kinetic model (Model 7) demonstrated a superior fit for both chalcopyrite and gangue recovery curves. By deriving equations for multiple models, the study provides a comprehensive framework for comparing and selecting appropriate kinetic models in flotation circuit design. These equations offer valuable insights into the critical nature of precise timing in chalcopyrite flotation and highlight the importance of considering multiple kinetic models for process optimization. The derived equations contribute to more efficient and sustainable chalcopyrite beneficiation techniques, which are particularly relevant for processing lower-grade copper ores in industrial applications and expanding the toolkit available for researchers and practitioners in flotation kinetics optimization. [ABSTRACT FROM AUTHOR]
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/01932691.2024.2440427
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 11
        StartPage: 1295
    Subjects:
      – SubjectFull: Flotation
        Type: general
      – SubjectFull: Process optimization
        Type: general
      – SubjectFull: Copper sulfide
        Type: general
      – SubjectFull: Copper ores
        Type: general
      – SubjectFull: Mineral processing
        Type: general
    Titles:
      – TitleFull: Application of flotation kinetics models to chalcopyrite flotation: determination of optimum flotation times.
        Type: main
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          Name:
            NameFull: Şimşek, Selma
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          Name:
            NameFull: Kilinç, Turan
      – PersonEntity:
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            NameFull: Cebeci, Yakup
      – PersonEntity:
          Name:
            NameFull: Abbaker, Ahmed
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          Dates:
            – D: 01
              M: 06
              Text: 2026
              Type: published
              Y: 2026
          Identifiers:
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              Value: 01932691
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              Value: 47
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              Value: 7
          Titles:
            – TitleFull: Journal of Dispersion Science & Technology
              Type: main
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