Issue |
Metall. Res. Technol.
Volume 113, Number 4, 2016
|
|
---|---|---|
Article Number | 404 | |
Number of page(s) | 7 | |
DOI | https://doi.org/10.1051/metal/2016018 | |
Published online | 06 June 2016 |
Effects of coking coal properties on coke pore structure: Prediction models
1 School of Chemical Engineering, North
China University of Science and Technology, Tangshan, Hebei Province
063009, P.R.
China
2 Hebei Province Coal
Chemical-Engineering Technology Research Center, Xingtai, Hebei Province
054001, P.R.
China
3 Key Laboratory of Chemical Metallurgy
Engineering, University of Science and Technology Liaoning,
Anshan,
Liaoning Province
114051, P.R.
China
e-mail: wangqi8822@sina.com
Received:
13
December
2015
Accepted:
10
March
2016
The porosity, pore size, and specific surface area of coke significantly affects its strength and thermal properties. To investigate the factors affecting the pore structure during the carbonization of coking coal, experimental studies were performed using 18 types of single and mixed coals. Based on the experimental results of the structure and properties of coke pores, regression equations were developed to predict the structural parameters. The structural parameters include porosity, average pore size, volume ratio of pores with diameters >150 ¯m, volume ratio of pores with diameters <30 ¯m, and specific surface area. The regression equations indicate that the maximum volatile release rate, Gieseler fluidity, and vitrinite maximum reflectance are the main factors affecting the formation of micron-size pores. The surface area of coke dominated by nanoscale micropores was significantly affected by volatiles released during 800−950 °C.
Key words: Coking coal / porous structure / carbonization
© EDP Sciences, 2016
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.