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

作者：Jiale Yuan, Runyu Liu, Haishen Jiang, Chenlong Duan, Hong Wang, Deyang Wen, Long Huang · 发表于：International Journal of Coal Preparation and Utilization · 年份：2025 · DOI：10.1080/19392699.2025.2526565 · 被引用次数：2 · 研究领域：Coal Combustion and Slurry Processing、Minerals Flotation and Separation Techniques、Materials Engineering and Processing

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 fl...