ID | 116905 |
Author |
Chen, Peng
Xi’an Jiaotong University
Luo, Han
Xi’an Jiaotong University
Cui, Minchao
Tokushima University|Northwestern Polytechnical University
Wang, Zhenzhen
Xi’an Jiaotong University|Tokushima University
Deguchi, Yoshihiro
Xi’an Jiaotong University|Tokushima University
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Yan, Junjie
Xi’an Jiaotong University|Tokushima University
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Keywords | laser-induced breakdown spectroscopy
coke
sulfur detection
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Content Type |
Journal Article
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Description | Accurate determination of sulfur (S) content in coke is of great significance to improve the quality of iron and steel. In this study, the sulfur in coke standard samples was detected in argon (Ar) atmosphere using laser-induced breakdown spectroscopy (LIBS), and S I 182.034 nm was chosen as the analytical line. The experimental results showed that it was advantageous to detect S in the early stage of plasma generation. Compared with tablet samples, the spectral intensities of binder samples on the copper foil tape were greater and the signal-to-noise ratio (SNR) was also greater. As for reduplicate experiments, the coefficient of variation (CV) of spectral intensities of binder samples was 10.58% and that of tablet samples was 88.54%. The plasma signal induced by binder samples was stronger and more stable. The internal standard method and support vector machine regression (SVR) were used to quantitatively analyze the sulfur content in binder samples, and SVR showed more accurate prediction accuracy. R2 of SVR with electron density and self-absorption correction was 0.965, root mean square error of prediction (RMSEP) was 0.18 wt.% and the limit of detection (LOD) was 0.026%. This result proved the applicability of binder for sulfur measurement in coke using LIBS.
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Journal Title |
ISIJ International
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ISSN | 09151559
13475460
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NCID | AA10680712
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Publisher | The Iron and Steel Institute of Japan
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Volume | 62
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Issue | 5
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Start Page | 875
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End Page | 882
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Published Date | 2022-05-15
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Rights | © 2022 The Iron and Steel Institute of Japan. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs license (https://creativecommons.org/licenses/by-nc-nd/4.0/).
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DOI (Published Version) | |
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language |
eng
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TextVersion |
Publisher
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departments |
Science and Technology
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