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Synergistic regulation mechanism and optimization research of coal slurry flocculation flotation and sedimentation dewatering.

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Title: Synergistic regulation mechanism and optimization research of coal slurry flocculation flotation and sedimentation dewatering.
Authors: Yuan, Jiale1,2 (AUTHOR), Liu, Runyu1,2 (AUTHOR), Jiang, Haishen1,2 (AUTHOR) haishen_jiang2015@163.com, Duan, Chenlong1,2 (AUTHOR) clduan@cumt.edu.cn, Wang, Hong1,3 (AUTHOR), Wen, Deyang1,2 (AUTHOR), Huang, Long1,3 (AUTHOR)
Source: International Journal of Coal Preparation & Utilization. 2026, Vol. 46 Issue 7, p2122-2158. 37p.
Subjects: Polyacrylamide, Flocculation, Coal mine waste, Machine learning, Flotation, Sedimentation & deposition, Polyelectrolytes
Abstract: In coal preparation plants, excessive use of coagulants and flocculants alone leads to poor disposal of coal slurry water (CSW) and environmental pollution, necessitating synergistic pharmaceutical strategies. This study systematically investigated the synergistic effects of poly dimethyl diallyl ammonium chloride (PDMDAAC) and polyacrylamide (PAM) on selective flocculation, settling, and dewatering of CSW through single-factor experiments, machine learning (ML), and microscopic characterization. Key results demonstrated that the optimized binary compounding system (PAM2610:PDMDAAC10040 = 7:3, total dosage 2 g/t) achieved superior performance: combustible recovery of 85.61% (5.19% higher than single PAM use and 3.63% higher than single PDMDAAC use) and ash content of 10.60% (22.90% lower than conventional methods). The synergistic system enabled the fastest settling velocity (1.58 cm/s, 2.1× faster than baseline) and lowest turbidity (11.10 NTU, 92% reduction) at 20 g/L slurry concentration. Machine learning models revealed that gradient-boosted decision trees (GBDT) outperform other algorithms in predicting filter cake moisture (R2 = 0.991 vs. 0.899 for SVR), enabling real-time optimization of pharmaceutical dosing. Mechanistic analyzed via zeta potential, X-ray photoelectron spectroscopy (XPS), and Fourier transform infrared (FTIR) confirm that PDMDAAC neutralized surface charges of kaolinite particles (zeta potential shift from −15.04 mV to + 7.89 mV), while PAM bridges flocs through hydrogen bonding, reducing PAM dosage by 55% compared to standalone applications. This research provides a green, efficient strategy for CSW treatment, reducing chemical consumption by 60–70% while achieving 35.14% filter cake moisture (vs. 41% in industrial baselines), with significant implications for resource recovery and wastewater management in coal processing. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Coal Preparation & Utilization is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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Items – Name: Title
  Label: Title
  Group: Ti
  Data: Synergistic regulation mechanism and optimization research of coal slurry flocculation flotation and sedimentation dewatering.
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  Data: <searchLink fieldCode="AR" term="%22Yuan%2C+Jiale%22">Yuan, Jiale</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Liu%2C+Runyu%22">Liu, Runyu</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Jiang%2C+Haishen%22">Jiang, Haishen</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> haishen_jiang2015@163.com</i><br /><searchLink fieldCode="AR" term="%22Duan%2C+Chenlong%22">Duan, Chenlong</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> clduan@cumt.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Wang%2C+Hong%22">Wang, Hong</searchLink><relatesTo>1,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wen%2C+Deyang%22">Wen, Deyang</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Huang%2C+Long%22">Huang, Long</searchLink><relatesTo>1,3</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 7, p2122-2158. 37p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Polyacrylamide%22">Polyacrylamide</searchLink><br /><searchLink fieldCode="DE" term="%22Flocculation%22">Flocculation</searchLink><br /><searchLink fieldCode="DE" term="%22Coal+mine+waste%22">Coal mine waste</searchLink><br /><searchLink fieldCode="DE" term="%22Machine+learning%22">Machine learning</searchLink><br /><searchLink fieldCode="DE" term="%22Flotation%22">Flotation</searchLink><br /><searchLink fieldCode="DE" term="%22Sedimentation+%26+deposition%22">Sedimentation & deposition</searchLink><br /><searchLink fieldCode="DE" term="%22Polyelectrolytes%22">Polyelectrolytes</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: In coal preparation plants, excessive use of coagulants and flocculants alone leads to poor disposal of coal slurry water (CSW) and environmental pollution, necessitating synergistic pharmaceutical strategies. This study systematically investigated the synergistic effects of poly dimethyl diallyl ammonium chloride (PDMDAAC) and polyacrylamide (PAM) on selective flocculation, settling, and dewatering of CSW through single-factor experiments, machine learning (ML), and microscopic characterization. Key results demonstrated that the optimized binary compounding system (PAM2610:PDMDAAC10040 = 7:3, total dosage 2 g/t) achieved superior performance: combustible recovery of 85.61% (5.19% higher than single PAM use and 3.63% higher than single PDMDAAC use) and ash content of 10.60% (22.90% lower than conventional methods). The synergistic system enabled the fastest settling velocity (1.58 cm/s, 2.1× faster than baseline) and lowest turbidity (11.10 NTU, 92% reduction) at 20 g/L slurry concentration. Machine learning models revealed that gradient-boosted decision trees (GBDT) outperform other algorithms in predicting filter cake moisture (R2 = 0.991 vs. 0.899 for SVR), enabling real-time optimization of pharmaceutical dosing. Mechanistic analyzed via zeta potential, X-ray photoelectron spectroscopy (XPS), and Fourier transform infrared (FTIR) confirm that PDMDAAC neutralized surface charges of kaolinite particles (zeta potential shift from −15.04 mV to + 7.89 mV), while PAM bridges flocs through hydrogen bonding, reducing PAM dosage by 55% compared to standalone applications. This research provides a green, efficient strategy for CSW treatment, reducing chemical consumption by 60–70% while achieving 35.14% filter cake moisture (vs. 41% in industrial baselines), with significant implications for resource recovery and wastewater management in coal processing. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Coal Preparation & Utilization is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/19392699.2025.2526565
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 37
        StartPage: 2122
    Subjects:
      – SubjectFull: Polyacrylamide
        Type: general
      – SubjectFull: Flocculation
        Type: general
      – SubjectFull: Coal mine waste
        Type: general
      – SubjectFull: Machine learning
        Type: general
      – SubjectFull: Flotation
        Type: general
      – SubjectFull: Sedimentation & deposition
        Type: general
      – SubjectFull: Polyelectrolytes
        Type: general
    Titles:
      – TitleFull: Synergistic regulation mechanism and optimization research of coal slurry flocculation flotation and sedimentation dewatering.
        Type: main
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            NameFull: Yuan, Jiale
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            NameFull: Liu, Runyu
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            NameFull: Jiang, Haishen
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            NameFull: Duan, Chenlong
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            NameFull: Wang, Hong
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            NameFull: Wen, Deyang
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            NameFull: Huang, Long
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            – D: 01
              M: 07
              Text: 2026
              Type: published
              Y: 2026
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              Value: 19392699
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              Value: 46
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            – TitleFull: International Journal of Coal Preparation & Utilization
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