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. |
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| 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] |
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| Database: | Engineering Source |
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| 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] |
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| ISSN: | 19392699 |
| DOI: | 10.1080/19392699.2025.2526565 |
