聚二烯丙基二甲基氯化铵强化煤泥超高压脱水机理研究

    Research on the mechanism of enhanced ultra-high pressure dewatering of coal slime using PDDA

    • 摘要: 为实现煤泥资源的综合利用,满足其回收利用过程中对水分的要求,首先需解决煤泥高效脱水这一核心问题,提出了采用聚二烯丙基二甲基氯化铵(PDDA)作为新型助滤剂,与超高压过滤(UHPF)技术协同作用。通过SEM-EDS表征及分形理论分析,结合多尺度CT三维扫描与构建孔隙网络模型(PNM),采用低场核磁共振( LF-NMR)测试,并进行COMSOL渗流模拟,明确PDDA在优化孔喉结构、提升孔隙连通性、降低渗流阻力方面的核心作用。实验室与半工业试验表明:当PDDA-15040剂量在350 g/t时,可将煤泥絮体粒径增至约83 μm,在10 MPa压力下使煤泥水分降至19.24%;多尺度CT三维重建与孔隙网络模型(PNM)分析显示,PDDA能扩大孔隙空间,降低孔喉比与弯曲度,将滤饼孔隙的平均配位数从2.68提升至3.86,增强孔隙连通性;结合傅里叶变换红外光谱(FTIR)进行LF-NMR分析,揭示了滤饼内部水赋存状态和迁移规律,PDDA可弱化煤颗粒与水分子间结合作用力,减少束缚水和吸附水的含量;COMSOL渗流模拟结果表明,PDDA显著提高滤饼渗透率,优化压力梯度分布,构建连续渗流通道网络。该试验通过PDDA诱导实现煤泥滤饼微观结构的精准调控,最终提出了一种经济高效的煤泥脱水策略,为煤泥作为低热值燃料、建材及肥料原料的回收利用提供了可靠的技术支撑。

       

      Abstract: To achieve the comprehensive utilization of coal slime resources and meet the stringent requirements for moisture content during recovery and reuse, the core challenge of efficient coal slime dewatering must first be addressed. This study proposes the use of polydiallyldimethylammonium chloride (PDDA) as a novel filter aid, working synergistically with ultra-high pressure filtration (UHPF) technology. Through SEM-EDS characterization and fractal theory analysis, combined with multi-scale 3D CT scanning, pore network modeling (PNM), low-field nuclear magnetic resonance (LF-NMR) testing, and COMSOL seepage simulation, the pivotal role of PDDA in optimizing pore-throat structures, improving pore connectivity, and reducing seepage resistance was elucidated. Laboratory and semi-industrial tests demonstrate that at a PDDA-15040 dosage of 350 g/t, the coal slime floc size increases to approximately 83 μm, and the moisture content of the coal slime is reduced to 19.24% under a pressure of 10 MPa. Multi-scale 3D CT reconstruction and PNM analysis reveal that PDDA expands the pore space while reducing the pore-throat ratio and tortuosity. Specifically, it increases the average coordination number of the filter cake pores from 2.68 to 3.86, thereby enhancing pore connectivity. LF-NMR analysis, combined with Fourier-transform infrared spectroscopy (FTIR), reveals the occurrence states and migration laws of water within the filter cake. PDDA weakens the binding force between coal particles and water molecules, reducing the content of bound and adsorbed water. COMSOL seepage simulations further indicate that PDDA significantly improves the permeability of the filter cake, optimizes the pressure gradient distribution, and constructs a continuous network of seepage channels. This study achieves precise regulation of the filter cake microstructure induced by PDDA, ultimately proposing a cost-effective coal slime dewatering strategy. This provides reliable technical support for the recovery and utilization of coal slime as a low-calorific-value fuel, building material, and fertilizer feedstock.

       

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