Construction of high-precision macromolecular model of Zhaozhuang anthracite based on microscopic level and optimization of surfactant applicability: Efficient control of coal dust

IF 7.8 2区 环境科学与生态学 Q1 ENGINEERING, CHEMICAL Process Safety and Environmental Protection Pub Date : 2025-03-01 Epub Date: 2025-01-07 DOI:10.1016/j.psep.2025.01.016
Wen Nie , Zhaoheng Xu , Ruoxi Li , Qiu Bao , Wenjin Niu , Qifan Tian , Xiaohan Zhang , Chenfeng Shi , Ke Tong , Zhihui Zhang
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Abstract

The coal mining process is plagued with problems such as low dust removal efficiency and blind selection of dust reduction means due to the lack of microscopic molecular modelling of coal dust. Taking coal samples from the Zhaozhuang Coal Mine in Henan Province, China as an example, a series of chemical analyses were performed to determine the types and amounts of constituent structure in coal dust molecules. The molecular formula of coal dust was be C181H142N2O21, from which planar and three-dimensional macromolecular structural models. To find the most suitable surfactants for the model, sodium dodecyl benzene sulfonate (SDBS), sodium fatty acid methyl ester sulfonate (MES), and coconut oil fatty acid diethanolamide (CDEA) were selected, and the effects on their wettability were analyzed with simulations and experiments. The adsorption state of water molecules in the different water-surfactant-coal ternary systems was simulated and analyzed in terms of the radial distribution function and the mean square displacement. It was found that the value of radial distribution function of SDBS system was 5.19, and the diffusion coefficient was 0.66 Å2/ps, which were the highest for the different systems. The experimental results showed that the surface tension of a 0.36 wt% SDBS solution was 27.130 mN/m, and the contact angle was 25.2°, both of which were the lowest for the different surfactant solutions and had the best wetting effect. The coal dust model construction combined with the analysis method of surfactant selection provides a new method for coal dust directed dust removal.
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基于微观层面的赵庄无烟煤高精度大分子模型构建及表面活性剂适用性优化:煤尘高效治理
由于缺乏对煤尘微观分子模型的研究,煤矿开采过程中存在除尘效率低、降尘方式盲目选择等问题。以中国河南省赵庄煤矿的煤样为例,进行了一系列的化学分析,以确定煤尘分子组成结构的类型和数量。煤尘分子式为C181H142N2O21,并由此建立了平面和三维大分子结构模型。为了寻找最适合模型的表面活性剂,选择了十二烷基苯磺酸钠(SDBS)、脂肪酸甲酯磺酸钠(MES)和椰子油脂肪酸二乙醇酰胺(CDEA),并通过模拟和实验分析了它们对润湿性的影响。根据径向分布函数和均方位移,模拟分析了水分子在不同水表面活性剂-煤三元体系中的吸附状态。结果表明,SDBS体系的径向分布函数值为5.19,扩散系数为0.66 Å2/ps,在不同体系中最高。实验结果表明,0.36wt%的SDBS溶液的表面张力为27.130 mN/m,接触角为25.2°,是不同表面活性剂溶液中最低的,润湿效果最好。煤尘模型的建立与表面活性剂选择的分析方法相结合,为煤尘定向除尘提供了一种新的方法。
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来源期刊
Process Safety and Environmental Protection
Process Safety and Environmental Protection 环境科学-工程:化工
CiteScore
11.40
自引率
15.40%
发文量
929
审稿时长
8.0 months
期刊介绍: The Process Safety and Environmental Protection (PSEP) journal is a leading international publication that focuses on the publication of high-quality, original research papers in the field of engineering, specifically those related to the safety of industrial processes and environmental protection. The journal encourages submissions that present new developments in safety and environmental aspects, particularly those that show how research findings can be applied in process engineering design and practice. PSEP is particularly interested in research that brings fresh perspectives to established engineering principles, identifies unsolved problems, or suggests directions for future research. The journal also values contributions that push the boundaries of traditional engineering and welcomes multidisciplinary papers. PSEP's articles are abstracted and indexed by a range of databases and services, which helps to ensure that the journal's research is accessible and recognized in the academic and professional communities. These databases include ANTE, Chemical Abstracts, Chemical Hazards in Industry, Current Contents, Elsevier Engineering Information database, Pascal Francis, Web of Science, Scopus, Engineering Information Database EnCompass LIT (Elsevier), and INSPEC. This wide coverage facilitates the dissemination of the journal's content to a global audience interested in process safety and environmental engineering.
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