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Micromechanism Analysis of Surfactant Wetting of Coal Based on (13)C NMR Experiments

[Image: see text] With the gradual improvement in coal mine mechanization and automation, the dust concentration at production sites is increasing significantly as the production efficiency improves, which not only poses a substantial threat to the occupational safety and health of workers but also...

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Autores principales: Zheng, Lei, Liu, Zongqi, Li, Dewen, Wang, Hongtu, Zhang, Qingtao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2021
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7818588/
https://www.ncbi.nlm.nih.gov/pubmed/33490797
http://dx.doi.org/10.1021/acsomega.0c05005
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author Zheng, Lei
Liu, Zongqi
Li, Dewen
Wang, Hongtu
Zhang, Qingtao
author_facet Zheng, Lei
Liu, Zongqi
Li, Dewen
Wang, Hongtu
Zhang, Qingtao
author_sort Zheng, Lei
collection PubMed
description [Image: see text] With the gradual improvement in coal mine mechanization and automation, the dust concentration at production sites is increasing significantly as the production efficiency improves, which not only poses a substantial threat to the occupational safety and health of workers but also affects the safe production and social stability of mines. At present, wet dust removal is the most economical and effective technical dust removal measure. However, most coal seams in China have poor wettability, unclear microscopic wetting mechanisms, and poor dust removal effects. Therefore, based on experiments and numerical analysis, this paper qualitatively studies the influencing factors of surfactants on coal wettability and quantitatively constructs an innovative evaluation model of the influence of the microstructure of coal and surfactants on wettability. First, based on (13)C NMR experiments, the structural parameters of coal and several surfactants were obtained. Second, the wettability relationship between the coal and the surfactants was determined by optical titration, and the key factors affecting the wettability of coal dust and the wettability of the surfactants were selected. Then, using numerical analysis and function fitting analysis and combining the structural parameters with the coal wetting results, the relationship between the microstructure of the surfactants on different kinds of coal and the wettability of the coal samples was established. The results show that the ether group, the phenol or aromatic ether carbon, the fatty methyl group, and the aromatic methyl group in the surfactants have a substantial influence on the wettability. The research results can provide scientific guidance for the development of efficient and environmentally friendly compound dust suppressants to realize clean production in mines.
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spelling pubmed-78185882021-01-22 Micromechanism Analysis of Surfactant Wetting of Coal Based on (13)C NMR Experiments Zheng, Lei Liu, Zongqi Li, Dewen Wang, Hongtu Zhang, Qingtao ACS Omega [Image: see text] With the gradual improvement in coal mine mechanization and automation, the dust concentration at production sites is increasing significantly as the production efficiency improves, which not only poses a substantial threat to the occupational safety and health of workers but also affects the safe production and social stability of mines. At present, wet dust removal is the most economical and effective technical dust removal measure. However, most coal seams in China have poor wettability, unclear microscopic wetting mechanisms, and poor dust removal effects. Therefore, based on experiments and numerical analysis, this paper qualitatively studies the influencing factors of surfactants on coal wettability and quantitatively constructs an innovative evaluation model of the influence of the microstructure of coal and surfactants on wettability. First, based on (13)C NMR experiments, the structural parameters of coal and several surfactants were obtained. Second, the wettability relationship between the coal and the surfactants was determined by optical titration, and the key factors affecting the wettability of coal dust and the wettability of the surfactants were selected. Then, using numerical analysis and function fitting analysis and combining the structural parameters with the coal wetting results, the relationship between the microstructure of the surfactants on different kinds of coal and the wettability of the coal samples was established. The results show that the ether group, the phenol or aromatic ether carbon, the fatty methyl group, and the aromatic methyl group in the surfactants have a substantial influence on the wettability. The research results can provide scientific guidance for the development of efficient and environmentally friendly compound dust suppressants to realize clean production in mines. American Chemical Society 2021-01-06 /pmc/articles/PMC7818588/ /pubmed/33490797 http://dx.doi.org/10.1021/acsomega.0c05005 Text en © 2021 American Chemical Society This is an open access article published under a Creative Commons Non-Commercial No Derivative Works (CC-BY-NC-ND) Attribution License (http://pubs.acs.org/page/policy/authorchoice_ccbyncnd_termsofuse.html) , which permits copying and redistribution of the article, and creation of adaptations, all for non-commercial purposes.
spellingShingle Zheng, Lei
Liu, Zongqi
Li, Dewen
Wang, Hongtu
Zhang, Qingtao
Micromechanism Analysis of Surfactant Wetting of Coal Based on (13)C NMR Experiments
title Micromechanism Analysis of Surfactant Wetting of Coal Based on (13)C NMR Experiments
title_full Micromechanism Analysis of Surfactant Wetting of Coal Based on (13)C NMR Experiments
title_fullStr Micromechanism Analysis of Surfactant Wetting of Coal Based on (13)C NMR Experiments
title_full_unstemmed Micromechanism Analysis of Surfactant Wetting of Coal Based on (13)C NMR Experiments
title_short Micromechanism Analysis of Surfactant Wetting of Coal Based on (13)C NMR Experiments
title_sort micromechanism analysis of surfactant wetting of coal based on (13)c nmr experiments
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7818588/
https://www.ncbi.nlm.nih.gov/pubmed/33490797
http://dx.doi.org/10.1021/acsomega.0c05005
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