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Study on intelligent control logic of coal flotation collector dosing model – from the view of slurry conditioning.

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Title: Study on intelligent control logic of coal flotation collector dosing model – from the view of slurry conditioning.
Authors: Lu, Qiancheng1,2 (AUTHOR), Zhang, Yong1,2,3,4 (AUTHOR) zy090255@163.com, Zhu, Hongzheng1,2 (AUTHOR) hzzhu@aust.edu.cn, He, Hailing2 (AUTHOR), Mao, Rongzhong2 (AUTHOR), Chen, Yang2 (AUTHOR), Zhu, Jinbo2 (AUTHOR)
Source: International Journal of Coal Preparation & Utilization. 2026, Vol. 46 Issue 4, p975-992. 18p.
Subject Terms: *Flotation, *Intelligent control systems, *Prediction models, *Mineral processing, *Adsorption (Chemistry), *Flotation reagents, *Slurry, *Surface tension
Abstract: This study explores the impact of slurry conditioning speed (200–1600 r/min) on coal flotation efficiency through surface tension and collector adsorption analyses. Experiments revealed that conditioning speed critically modulates particle–reagent interactions via energy input regulation. Optimal performance occurred at 600 r/min, achieving peak adsorption (271.46%, modeled by θ = 271.46 − 3.20λ, R2 = 0.935) with minimized surface tension (25.1 mN/m) and superior flotation metrics (91.0% yield, 7.81% ash). Higher speeds induced centrifugal desorption, elevating surface tension (≤36.47 mN/m) and degrading efficiency. A Poly5 nonlinear model (R2 = 0.936) effectively correlated surface tension with flotation performance, while normalized surface tension data demonstrated exceptional agreement (R2 = 0.976) with experimental results. Optimization identified 446.5 r/min as the equilibrium point balancing particle collisions and centrifugal dispersion. These findings establish surface tension as a reliable control parameter and propose a data-driven framework for intelligent dosing strategies, advancing automation in coal flotation processes through physics-informed predictive models. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
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Header DbId: enr
DbLabel: Energy & Power Source
An: 192584491
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PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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Items – Name: Title
  Label: Title
  Group: Ti
  Data: Study on intelligent control logic of coal flotation collector dosing model – from the view of slurry conditioning.
– Name: Author
  Label: Authors
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  Data: <searchLink fieldCode="AR" term="%22Lu%2C+Qiancheng%22">Lu, Qiancheng</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Yong%22">Zhang, Yong</searchLink><relatesTo>1,2,3,4</relatesTo> (AUTHOR)<i> zy090255@163.com</i><br /><searchLink fieldCode="AR" term="%22Zhu%2C+Hongzheng%22">Zhu, Hongzheng</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> hzzhu@aust.edu.cn</i><br /><searchLink fieldCode="AR" term="%22He%2C+Hailing%22">He, Hailing</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mao%2C+Rongzhong%22">Mao, Rongzhong</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chen%2C+Yang%22">Chen, Yang</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhu%2C+Jinbo%22">Zhu, Jinbo</searchLink><relatesTo>2</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Coal+Preparation+%26+Utilization%22">International Journal of Coal Preparation & Utilization</searchLink>. 2026, Vol. 46 Issue 4, p975-992. 18p.
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: *<searchLink fieldCode="DE" term="%22Flotation%22">Flotation</searchLink><br />*<searchLink fieldCode="DE" term="%22Intelligent+control+systems%22">Intelligent control systems</searchLink><br />*<searchLink fieldCode="DE" term="%22Prediction+models%22">Prediction models</searchLink><br />*<searchLink fieldCode="DE" term="%22Mineral+processing%22">Mineral processing</searchLink><br />*<searchLink fieldCode="DE" term="%22Adsorption+%28Chemistry%29%22">Adsorption (Chemistry)</searchLink><br />*<searchLink fieldCode="DE" term="%22Flotation+reagents%22">Flotation reagents</searchLink><br />*<searchLink fieldCode="DE" term="%22Slurry%22">Slurry</searchLink><br />*<searchLink fieldCode="DE" term="%22Surface+tension%22">Surface tension</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This study explores the impact of slurry conditioning speed (200–1600 r/min) on coal flotation efficiency through surface tension and collector adsorption analyses. Experiments revealed that conditioning speed critically modulates particle–reagent interactions via energy input regulation. Optimal performance occurred at 600 r/min, achieving peak adsorption (271.46%, modeled by θ = 271.46 − 3.20λ, R2 = 0.935) with minimized surface tension (25.1 mN/m) and superior flotation metrics (91.0% yield, 7.81% ash). Higher speeds induced centrifugal desorption, elevating surface tension (≤36.47 mN/m) and degrading efficiency. A Poly5 nonlinear model (R2 = 0.936) effectively correlated surface tension with flotation performance, while normalized surface tension data demonstrated exceptional agreement (R2 = 0.976) with experimental results. Optimization identified 446.5 r/min as the equilibrium point balancing particle collisions and centrifugal dispersion. These findings establish surface tension as a reliable control parameter and propose a data-driven framework for intelligent dosing strategies, advancing automation in coal flotation processes through physics-informed predictive models. [ABSTRACT FROM AUTHOR]
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/19392699.2025.2487497
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 18
        StartPage: 975
    Subjects:
      – SubjectFull: Flotation
        Type: general
      – SubjectFull: Intelligent control systems
        Type: general
      – SubjectFull: Prediction models
        Type: general
      – SubjectFull: Mineral processing
        Type: general
      – SubjectFull: Adsorption (Chemistry)
        Type: general
      – SubjectFull: Flotation reagents
        Type: general
      – SubjectFull: Slurry
        Type: general
      – SubjectFull: Surface tension
        Type: general
    Titles:
      – TitleFull: Study on intelligent control logic of coal flotation collector dosing model – from the view of slurry conditioning.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Lu, Qiancheng
      – PersonEntity:
          Name:
            NameFull: Zhang, Yong
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            NameFull: Zhu, Hongzheng
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            NameFull: He, Hailing
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            NameFull: Mao, Rongzhong
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            NameFull: Chen, Yang
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            NameFull: Zhu, Jinbo
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            – D: 01
              M: 04
              Text: 2026
              Type: published
              Y: 2026
          Identifiers:
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              Value: 19392699
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              Value: 46
            – Type: issue
              Value: 4
          Titles:
            – TitleFull: International Journal of Coal Preparation & Utilization
              Type: main
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