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Research on the Identification Mechanism of Coal Gangue Based on the Differences of Mineral Components

[Image: see text] For coal and gangue, intelligent sorting processes for separation, the use of coal and gangue mineral components with different fundamental differences, and the study of different properties of minerals and coal with different scales and density regarding the gray value change law...

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Autores principales: Yang, Chenguang, Yin, Jianqiang, Wu, Liqin, Zeng, Qiuyu, Zhang, Liwei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9835535/
https://www.ncbi.nlm.nih.gov/pubmed/36643562
http://dx.doi.org/10.1021/acsomega.2c05743
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author Yang, Chenguang
Yin, Jianqiang
Wu, Liqin
Zeng, Qiuyu
Zhang, Liwei
author_facet Yang, Chenguang
Yin, Jianqiang
Wu, Liqin
Zeng, Qiuyu
Zhang, Liwei
author_sort Yang, Chenguang
collection PubMed
description [Image: see text] For coal and gangue, intelligent sorting processes for separation, the use of coal and gangue mineral components with different fundamental differences, and the study of different properties of minerals and coal with different scales and density regarding the gray value change law are presented. The results show that the gray value of single minerals and mixed minerals gradually decreases with the increase of their thickness and density. The greater the density of minerals, the smaller the gray value at the same thickness, and the same rule applies to different coal ranks. Via regression analysis methods, the values of the regression equation parameter a of pure minerals for graphite, quartz, kaolinite, and montmorillonite are 59.25, 65.69, 61.61, and 58.02 in the high-energy region, respectively. In the low-energy region, they are 174.95, 177.31, 186.95, and 161.81. For the regression equation parameter of mixed minerals in the form of two mixed minerals (graphite and quartz, kaolinite, or montmorillonite) and three kinds of mineral mixing (graphite–kaolinite and quartz; graphite–montmorillonite and quartz; graphite–kaolinite and montmorillonite), the gray values are 151.12, 156.00, 153.13,152.43, 152.98, and 151.98 in the high-energy region, respectively; in the low-energy region, they are 193.34, 201.34, 192.93, 191.26, 194.68, and 193.08. The phenomenon for the gray range of two kinds of single minerals locates in the range of mixed minerals that was formed from a single mineral observed after the regression equation of mixed mineral was verified by a single mineral, which agrees with the X-ray recognition pattern. In the end, as the density of coking coal, fat coal, and gas coal increases, the gray value decreases, which was in agreement with single- and mixed-mineral analyses.
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spelling pubmed-98355352023-01-13 Research on the Identification Mechanism of Coal Gangue Based on the Differences of Mineral Components Yang, Chenguang Yin, Jianqiang Wu, Liqin Zeng, Qiuyu Zhang, Liwei ACS Omega [Image: see text] For coal and gangue, intelligent sorting processes for separation, the use of coal and gangue mineral components with different fundamental differences, and the study of different properties of minerals and coal with different scales and density regarding the gray value change law are presented. The results show that the gray value of single minerals and mixed minerals gradually decreases with the increase of their thickness and density. The greater the density of minerals, the smaller the gray value at the same thickness, and the same rule applies to different coal ranks. Via regression analysis methods, the values of the regression equation parameter a of pure minerals for graphite, quartz, kaolinite, and montmorillonite are 59.25, 65.69, 61.61, and 58.02 in the high-energy region, respectively. In the low-energy region, they are 174.95, 177.31, 186.95, and 161.81. For the regression equation parameter of mixed minerals in the form of two mixed minerals (graphite and quartz, kaolinite, or montmorillonite) and three kinds of mineral mixing (graphite–kaolinite and quartz; graphite–montmorillonite and quartz; graphite–kaolinite and montmorillonite), the gray values are 151.12, 156.00, 153.13,152.43, 152.98, and 151.98 in the high-energy region, respectively; in the low-energy region, they are 193.34, 201.34, 192.93, 191.26, 194.68, and 193.08. The phenomenon for the gray range of two kinds of single minerals locates in the range of mixed minerals that was formed from a single mineral observed after the regression equation of mixed mineral was verified by a single mineral, which agrees with the X-ray recognition pattern. In the end, as the density of coking coal, fat coal, and gas coal increases, the gray value decreases, which was in agreement with single- and mixed-mineral analyses. American Chemical Society 2022-12-20 /pmc/articles/PMC9835535/ /pubmed/36643562 http://dx.doi.org/10.1021/acsomega.2c05743 Text en © 2022 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Yang, Chenguang
Yin, Jianqiang
Wu, Liqin
Zeng, Qiuyu
Zhang, Liwei
Research on the Identification Mechanism of Coal Gangue Based on the Differences of Mineral Components
title Research on the Identification Mechanism of Coal Gangue Based on the Differences of Mineral Components
title_full Research on the Identification Mechanism of Coal Gangue Based on the Differences of Mineral Components
title_fullStr Research on the Identification Mechanism of Coal Gangue Based on the Differences of Mineral Components
title_full_unstemmed Research on the Identification Mechanism of Coal Gangue Based on the Differences of Mineral Components
title_short Research on the Identification Mechanism of Coal Gangue Based on the Differences of Mineral Components
title_sort research on the identification mechanism of coal gangue based on the differences of mineral components
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9835535/
https://www.ncbi.nlm.nih.gov/pubmed/36643562
http://dx.doi.org/10.1021/acsomega.2c05743
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