A Comprehensive Review of Characterization Methods for Metallurgical Coke Structures
Research output: Contribution to journal › Review article › peer-review
Standard
In: Materials, Vol. 15.2022, No. 1, 174, 01.01.2022.
Research output: Contribution to journal › Review article › peer-review
Harvard
APA
Vancouver
Author
Bibtex - Download
}
RIS (suitable for import to EndNote) - Download
TY - JOUR
T1 - A Comprehensive Review of Characterization Methods for Metallurgical Coke Structures
AU - Zheng, Heng
AU - Xu, Runsheng
AU - Zhang, Jianliang
AU - Daghagheleh, Oday
AU - Schenk, Johannes
AU - Li, Chuanhui
AU - Wang, Wei
N1 - Funding Information: Funding: This research was funded by K1-MET GmbH, metallurgical competence center. The research program of the K1-MET competence center is supported by COMET (Competence Center for Excellent Technologies), the Austrian program for competence centers. COMET is funded by the Federal Ministry for Climate Action, Environment, Energy, Mobility, Innovation, and Technology, the Federal Ministry for Digital and Economic Affairs, the provinces of Upper Austria, Tyrol, and Styria, and the Styrian Business Promotion Agency (SFG). In addition, the research work is partially financed by Montanuniversitaet Leoben. Zheng Heng greatly acknowledges the financial support from the program of China Scholarship Council (No.201908420284). Publisher Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2022/1/1
Y1 - 2022/1/1
N2 - The structure of coke affects its reactivity and strength, which directly influences its performance in the blast furnace. This review divides coke structures into chemical structure, physical structure, and optical texture according to their relevant characteristics. The focuses of this review are the current characterization methods and research status of the coke structures. The chemical structures (element composition and functional group) can be characterized by elemental analysis, Fourier transform infrared spectroscopy (FTIR), Raman spectroscopy (Raman), X-ray photoelectron spectroscopy (XPS), and nuclear magnetic resonance imaging technology (13C NMR). The physical structures (pore structure and micro-crystallite structure) can be characterized by image method, X-ray CT imaging technique, mercury intrusion method, nitrogen gas adsorption method, X-ray diffraction method (XRD), and high-resolution transmission electron microscopy (HRTEM). The optical textures are usually divided and counted by a polarizing microscope. In the end, this review provides an idea of the construction of a coke molecular structural model, based on the above characterization. With the coke model, the evolution principles of the coke can be calculated and simulated. Hence, the coke performance can be predicted and optimized
AB - The structure of coke affects its reactivity and strength, which directly influences its performance in the blast furnace. This review divides coke structures into chemical structure, physical structure, and optical texture according to their relevant characteristics. The focuses of this review are the current characterization methods and research status of the coke structures. The chemical structures (element composition and functional group) can be characterized by elemental analysis, Fourier transform infrared spectroscopy (FTIR), Raman spectroscopy (Raman), X-ray photoelectron spectroscopy (XPS), and nuclear magnetic resonance imaging technology (13C NMR). The physical structures (pore structure and micro-crystallite structure) can be characterized by image method, X-ray CT imaging technique, mercury intrusion method, nitrogen gas adsorption method, X-ray diffraction method (XRD), and high-resolution transmission electron microscopy (HRTEM). The optical textures are usually divided and counted by a polarizing microscope. In the end, this review provides an idea of the construction of a coke molecular structural model, based on the above characterization. With the coke model, the evolution principles of the coke can be calculated and simulated. Hence, the coke performance can be predicted and optimized
KW - Characterization
KW - Coke quality
KW - Coke structures
KW - Molecular model
UR - http://www.scopus.com/inward/record.url?scp=85121965812&partnerID=8YFLogxK
U2 - 10.3390/ma15010174
DO - 10.3390/ma15010174
M3 - Review article
AN - SCOPUS:85121965812
VL - 15.2022
JO - Materials
JF - Materials
SN - 1996-1944
IS - 1
M1 - 174
ER -