Application of Coal Rock Analysis in Coking Productions

Wu Xian Xi; Chen Guo Qing; Liu Bin Bin; Wu Son

doi:doi:10.11648/j.ajac.20200801.11

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Application of Coal Rock Analysis in Coking Productions

Wu Xian Xi, Chen Guo Qing, Liu Bin Bin, Wu Son

Published in American Journal of Applied Chemistry (Volume 8, Issue 1)

Received: 4 January 2020 Accepted: 4 February 2020 Published: 18 February 2020

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Abstract

In the coking industry, the variety and quality of single coal is the basis for influencing the quality of coal blending and ultimately the quality of coke products. Nowadays, some coking plants generally use industrial analysis methods to determine the quality of coal varieties and coal blending. However, using industrial analysis method alone cannot ensure that the variety quality identification of single coal and mixed coal is correct and reliable, therefore, there is no guarantee of coking coal blending and the final coking quality. Identifying coal by means of coal-rock analysis and distinguishing mixed coal can make up for the deficiency of industrial analysis in testing coal quality and types of coal. At the same time, according to the reflectivity of the vitrinite of coal can be additive, using synthetic coal reflectance distribution map to guide coal coking, can predict, improve and raise the quality of coke products. In this paper, some examples are given to identify coal type and distinguish mixed coal by reflectivity of coal vitrinite combined with industrial analysis method. At the same time, the method and example of applying synthetic coal reflectivity distribution map to guide coking coal to improve coke quality are also given. Finally noted, when using coal-rock method to guide coking and predict coke quality, it must be tested no arbitrary application.

Published in	American Journal of Applied Chemistry (Volume 8, Issue 1)
DOI	10.11648/j.ajac.20200801.11
Page(s)	1-5
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2020. Published by Science Publishing Group

Keywords

Analysis of Coal Rock, Vitrinite Reflectance, Reflectance Distribution Map, Single Coal, Mixed Coal, Coal Blending; Coking

References

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[2]	YAO Z Z, Coking [M], Third Edition, Beijing: Metallurgical Industry Press, 2005: 67-69.
[3]	WANG H Y. The development of coal mechanics and coking coal blending technology [J]. Coal Quality Technology, 2004, 6: 39-41.
[4]	JIA R M, JI T S. Application of coal lithofacies analysis in coal blending coking [J]. Fuel & Chemical Processes 2005, 36 (6): 22-24.
[5]	XIAO K J, JIA J C, et al. Application of coal rock analysis in coking production.
[6]	ZHANG Y Y. apply coal petrography [M]. Beijing: Metallurgical Industry Press, 1990: 138.
[7]	ZHU Y G, LI G. Coal chemistry [M]. Beijing: Chemical Industry Press, 2015: 46-70.
[8]	SHE J. Study of coal rock recognition methods based on image pro-cessing [D]. Beijing: China University of Mining& Technology (Beijing), 2014: 11-23.
[9]	SUN J P, SHI J. Wavelet-based coal-rock image feature extraction and recognition [J]. Journal of China Coal Society, 2013, 38 (10) 1900-1904.
[10]	CHEN P. Nature, Classification and Utilization of Coal in China [M]. Beijing: Chemical Industry Press, 2007, 75-76.
[11]	ZHAO X H, ZHOU D F, et al. Application of coal petrography in coal quality evaluation for coking. [J]. Coal Science & Technology, 2004, (2): 27-28.
[12]	ZHANG H, LI ZH, JIANG Y Y. Study on coal and rock identification based on image texture [J]. Coal Technology, 2015, 34 (7): 120-121.
[13]	PAN L H, WEI S B. New coking technology [M]. Beijing: Metallurgical Industry Press, 2006: 6 12-13.
[14]	XU J, ZHAO J G, et al. The primary index of coal quality inspection and control in modern times [J]. Energy for Metallurgical Industry, 2002, 21 (l): 55-59.
[15]	SON Q Y, BAI X F, et al. Application of lithofacies analysis in coal blending identification and control [J]. Fuel & Chemical Processes, 2004, 31 (3): 130-13.
[16]	YAO B Y, The role of coal reflectance distribution map in coking coal blending [J]. Fuel & Chemical Processes, 2008, (5): 11-15.
[17]	YAO B Y, Li D J, et al. The role of various types of coal blending in coking [J]. Fuel & Chemical Processes, 2007 38 (6): 1-6.

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APA Style

Wu Xian Xi, Chen Guo Qing, Liu Bin Bin, Wu Son. (2020). Application of Coal Rock Analysis in Coking Productions. American Journal of Applied Chemistry, 8(1), 1-5. https://doi.org/10.11648/j.ajac.20200801.11

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ACS Style

Wu Xian Xi; Chen Guo Qing; Liu Bin Bin; Wu Son. Application of Coal Rock Analysis in Coking Productions. Am. J. Appl. Chem. 2020, 8(1), 1-5. doi: 10.11648/j.ajac.20200801.11

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AMA Style

Wu Xian Xi, Chen Guo Qing, Liu Bin Bin, Wu Son. Application of Coal Rock Analysis in Coking Productions. Am J Appl Chem. 2020;8(1):1-5. doi: 10.11648/j.ajac.20200801.11

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@article{10.11648/j.ajac.20200801.11,
  author = {Wu Xian Xi and Chen Guo Qing and Liu Bin Bin and Wu Son},
  title = {Application of Coal Rock Analysis in Coking Productions},
  journal = {American Journal of Applied Chemistry},
  volume = {8},
  number = {1},
  pages = {1-5},
  doi = {10.11648/j.ajac.20200801.11},
  url = {https://doi.org/10.11648/j.ajac.20200801.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajac.20200801.11},
  abstract = {In the coking industry, the variety and quality of single coal is the basis for influencing the quality of coal blending and ultimately the quality of coke products. Nowadays, some coking plants generally use industrial analysis methods to determine the quality of coal varieties and coal blending. However, using industrial analysis method alone cannot ensure that the variety quality identification of single coal and mixed coal is correct and reliable, therefore, there is no guarantee of coking coal blending and the final coking quality. Identifying coal by means of coal-rock analysis and distinguishing mixed coal can make up for the deficiency of industrial analysis in testing coal quality and types of coal. At the same time, according to the reflectivity of the vitrinite of coal can be additive, using synthetic coal reflectance distribution map to guide coal coking, can predict, improve and raise the quality of coke products. In this paper, some examples are given to identify coal type and distinguish mixed coal by reflectivity of coal vitrinite combined with industrial analysis method. At the same time, the method and example of applying synthetic coal reflectivity distribution map to guide coking coal to improve coke quality are also given. Finally noted, when using coal-rock method to guide coking and predict coke quality, it must be tested no arbitrary application.},
 year = {2020}
}

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TY  - JOUR
T1  - Application of Coal Rock Analysis in Coking Productions
AU  - Wu Xian Xi
AU  - Chen Guo Qing
AU  - Liu Bin Bin
AU  - Wu Son
Y1  - 2020/02/18
PY  - 2020
N1  - https://doi.org/10.11648/j.ajac.20200801.11
DO  - 10.11648/j.ajac.20200801.11
T2  - American Journal of Applied Chemistry
JF  - American Journal of Applied Chemistry
JO  - American Journal of Applied Chemistry
SP  - 1
EP  - 5
PB  - Science Publishing Group
SN  - 2330-8745
UR  - https://doi.org/10.11648/j.ajac.20200801.11
AB  - In the coking industry, the variety and quality of single coal is the basis for influencing the quality of coal blending and ultimately the quality of coke products. Nowadays, some coking plants generally use industrial analysis methods to determine the quality of coal varieties and coal blending. However, using industrial analysis method alone cannot ensure that the variety quality identification of single coal and mixed coal is correct and reliable, therefore, there is no guarantee of coking coal blending and the final coking quality. Identifying coal by means of coal-rock analysis and distinguishing mixed coal can make up for the deficiency of industrial analysis in testing coal quality and types of coal. At the same time, according to the reflectivity of the vitrinite of coal can be additive, using synthetic coal reflectance distribution map to guide coal coking, can predict, improve and raise the quality of coke products. In this paper, some examples are given to identify coal type and distinguish mixed coal by reflectivity of coal vitrinite combined with industrial analysis method. At the same time, the method and example of applying synthetic coal reflectivity distribution map to guide coking coal to improve coke quality are also given. Finally noted, when using coal-rock method to guide coking and predict coke quality, it must be tested no arbitrary application.
VL  - 8
IS  - 1
ER  -

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Author Information

Wu Xian Xi

College of Chemistry and Chemical Engineering, Guizhou University, Guiyang, China
Chen Guo Qing

College of Chemistry and Chemical Engineering, Guizhou University, Guiyang, China
Liu Bin Bin

College of Chemistry and Chemical Engineering, Guizhou University, Guiyang, China
Wu Son

College of Chemistry and Chemical Engineering, Guizhou University, Guiyang, China

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Plain Text BibTeX RIS

APA Style

Wu Xian Xi, Chen Guo Qing, Liu Bin Bin, Wu Son. (2020). Application of Coal Rock Analysis in Coking Productions. American Journal of Applied Chemistry, 8(1), 1-5. https://doi.org/10.11648/j.ajac.20200801.11

Copy | Download

ACS Style

Wu Xian Xi; Chen Guo Qing; Liu Bin Bin; Wu Son. Application of Coal Rock Analysis in Coking Productions. Am. J. Appl. Chem. 2020, 8(1), 1-5. doi: 10.11648/j.ajac.20200801.11

Copy | Download

AMA Style

Wu Xian Xi, Chen Guo Qing, Liu Bin Bin, Wu Son. Application of Coal Rock Analysis in Coking Productions. Am J Appl Chem. 2020;8(1):1-5. doi: 10.11648/j.ajac.20200801.11

Copy | Download

@article{10.11648/j.ajac.20200801.11,
  author = {Wu Xian Xi and Chen Guo Qing and Liu Bin Bin and Wu Son},
  title = {Application of Coal Rock Analysis in Coking Productions},
  journal = {American Journal of Applied Chemistry},
  volume = {8},
  number = {1},
  pages = {1-5},
  doi = {10.11648/j.ajac.20200801.11},
  url = {https://doi.org/10.11648/j.ajac.20200801.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajac.20200801.11},
  abstract = {In the coking industry, the variety and quality of single coal is the basis for influencing the quality of coal blending and ultimately the quality of coke products. Nowadays, some coking plants generally use industrial analysis methods to determine the quality of coal varieties and coal blending. However, using industrial analysis method alone cannot ensure that the variety quality identification of single coal and mixed coal is correct and reliable, therefore, there is no guarantee of coking coal blending and the final coking quality. Identifying coal by means of coal-rock analysis and distinguishing mixed coal can make up for the deficiency of industrial analysis in testing coal quality and types of coal. At the same time, according to the reflectivity of the vitrinite of coal can be additive, using synthetic coal reflectance distribution map to guide coal coking, can predict, improve and raise the quality of coke products. In this paper, some examples are given to identify coal type and distinguish mixed coal by reflectivity of coal vitrinite combined with industrial analysis method. At the same time, the method and example of applying synthetic coal reflectivity distribution map to guide coking coal to improve coke quality are also given. Finally noted, when using coal-rock method to guide coking and predict coke quality, it must be tested no arbitrary application.},
 year = {2020}
}

Copy | Download

TY  - JOUR
T1  - Application of Coal Rock Analysis in Coking Productions
AU  - Wu Xian Xi
AU  - Chen Guo Qing
AU  - Liu Bin Bin
AU  - Wu Son
Y1  - 2020/02/18
PY  - 2020
N1  - https://doi.org/10.11648/j.ajac.20200801.11
DO  - 10.11648/j.ajac.20200801.11
T2  - American Journal of Applied Chemistry
JF  - American Journal of Applied Chemistry
JO  - American Journal of Applied Chemistry
SP  - 1
EP  - 5
PB  - Science Publishing Group
SN  - 2330-8745
UR  - https://doi.org/10.11648/j.ajac.20200801.11
AB  - In the coking industry, the variety and quality of single coal is the basis for influencing the quality of coal blending and ultimately the quality of coke products. Nowadays, some coking plants generally use industrial analysis methods to determine the quality of coal varieties and coal blending. However, using industrial analysis method alone cannot ensure that the variety quality identification of single coal and mixed coal is correct and reliable, therefore, there is no guarantee of coking coal blending and the final coking quality. Identifying coal by means of coal-rock analysis and distinguishing mixed coal can make up for the deficiency of industrial analysis in testing coal quality and types of coal. At the same time, according to the reflectivity of the vitrinite of coal can be additive, using synthetic coal reflectance distribution map to guide coal coking, can predict, improve and raise the quality of coke products. In this paper, some examples are given to identify coal type and distinguish mixed coal by reflectivity of coal vitrinite combined with industrial analysis method. At the same time, the method and example of applying synthetic coal reflectivity distribution map to guide coking coal to improve coke quality are also given. Finally noted, when using coal-rock method to guide coking and predict coke quality, it must be tested no arbitrary application.
VL  - 8
IS  - 1
ER  -

Copy | Download