Hu Yingying, Zhang Qingtao, Zhou Gang, Wang Haiyang, Bai Yanlong, Liu Yejiao
Binzhou University, Binzhou 256600, China.
College of Safety and Environmental Engineering, Shandong University of Science and Technology, Qingdao 266590, China.
ACS Omega. 2021 Aug 18;6(34):22248-22258. doi: 10.1021/acsomega.1c02954. eCollection 2021 Aug 31.
Based on experiments, a numerical analysis is used to quantitatively explore the influence of coal and surfactant microstructures on wettability. First, based on an infrared spectrum experiment, the distribution of oxygen-containing functional groups, aromatic hydrocarbons, and aliphatic hydrocarbons of coal and surfactants was obtained. Second, the wettability relationship between coal and different surfactants was determined by optical titration, and the coal dust wettability and surfaces were optimized. The key factors of the active agent wetting ability affecting lignite wetting mainly depend on the carbonyl, ether, and carboxyl groups in the surfactant. The factors affecting non-stick coal and gas coal wetting mainly depend on the ether group and aromatic amine in the surfactant. The factors affecting fat coal wetting mainly depend on the ether group and hydroxyl group in the surfactant. Finally, the factors affecting coking coal and anthracite wetting mainly depend on the surfactant ether group, aliphatic amine, and aromatic amine. Then, combining the structural parameters with the coal wetting results, the quantitative mathematical relationship between coal dust wettability, the important influencing factors of the surfactant, and the wettability index was established. Finally, a perfect and reasonable wettability evaluation model between coal and the surfactants was established. The relative activity of methyl ether and aromatic ether is greater than that of methyl ether, and the influence on the lignite, coking coal, and anthracite wettability conforms to the model . The influence on the non-caking coal and fat coal wettability conforms to the model , while the influence on the gas coal wettability conforms to the model = + + . In general, this study provides scientific guidance for the compounding of high-efficiency and environmentally protective composite dust suppressors to realize clean mine production.
基于实验,采用数值分析方法定量探究煤和表面活性剂微观结构对润湿性的影响。首先,基于红外光谱实验,获得了煤和表面活性剂中含氧官能团、芳烃和脂肪烃的分布。其次,通过光学滴定法确定了煤与不同表面活性剂之间的润湿性关系,并对煤粉润湿性和表面进行了优化。活性剂润湿能力影响褐煤润湿的关键因素主要取决于表面活性剂中的羰基、醚基和羧基。影响不粘煤和气煤润湿的因素主要取决于表面活性剂中的醚基和芳香胺。影响肥煤润湿的因素主要取决于表面活性剂中的醚基和羟基。最后,影响焦煤和无烟煤润湿的因素主要取决于表面活性剂的醚基、脂肪胺和芳香胺。然后,将结构参数与煤的润湿结果相结合,建立了煤粉润湿性、表面活性剂重要影响因素与润湿性指数之间的定量数学关系。最后,建立了完善合理的煤与表面活性剂之间的润湿性评价模型。甲醚和芳香醚的相对活性大于甲醚,对褐煤、焦煤和无烟煤润湿性的影响符合该模型。对不粘煤和肥煤润湿性的影响符合该模型,而对气煤润湿性的影响符合模型 = + + 。总体而言,本研究为高效环保型复合抑尘剂的复配提供了科学指导,以实现煤矿清洁生产。