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| Study on the Influence of Argon Environment on the Determination of C, P and S Elements in Steel by Laser-Induced Breakdown Spectrometry |
| ZHANG Jia-wei1, WU Dong-sheng1, ZHOU Yang2, LI Yang2, 3, 4, SUN Lan-xiang2, 3, 4* |
1. Shenyang Ligong University, Shenyang 110159, China
2. State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
3. Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China
4. Liaoning Liaohe Laboratory, Shenyang 110169, China
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Abstract Laser-induced breakdown spectroscopy has shown great-potential for application in the online analysis of molten steel composition. However, detecting the important C, P, and S component elements in molten steel has been challenging because their effective emission lines cannot be transmitted over long distances in the air. This paper studies the influence of the argon environment on detecting C, P, and S elements in steel under a 1.5-meter long probe gun; it is found that an argon flow rate that is too large or too small is not conducive to spectral measurement. When the gas flow rate is set to 11 L·min-1, the spectrum obtained is the most stable, and the spectral line intensity is the largest. Using 14 standard steel samples, the three elements C, P, and S were detected and quantitatively analyzed under optimal gas flow. After the internal standard calibration, the limit of detection (LOD) of the three elements were 0.009%, 0.04%, and 0.015%, the relative standard deviations (RSD) were 2.34%, 1.05%, and 1.01%, and the correlation coefficients (R) were 0.998, 0.997 and 0.987, respectively. The root mean square errors (RMSE) were 0.02%, 0.02% and 0.03%, respectively. The research results of this paper verify the effectiveness of the design of the probe gun and provide an important design basis for the online analysis of C, P, and S in the composition of molten steel.
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Received: 2023-10-09
Accepted: 2024-03-12
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Corresponding Authors:
SUN Lan-xiang
E-mail: sunlanxiang@sia.cn
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[1] LI Yi-ren, XING Yi, SUN Yu-jia, et al(李毅仁, 邢 奕, 孙宇佳, 等). Chinese Journal of Engineering(工程科学学报), 2023, 45(9): 1583.
[2] Bae C, Lee C, Nam W. Mater. Sci. Technol., 2002, 18(11): 1317.
[3] GUO Lian-bo, NIU Xue-chen, ZHANG Meng-sheng, et al(郭连波, 牛雪晨, 张猛胜, 等). Acta Photonica Sinica(光子学报), 2023, 52(3): 0352104.
[4] Hou Z, Jeong S, Deguchi Y, et al. Plasma Science and Technology, 2020, 22(7): 070101.
[5] YANG Li-feng, LIU Guo-jun, WANG Jian-xin, et al(杨利峰, 刘国军, 王建新, 等). Chemical Analysis and Meterage(化学分析计量), 2018, 27(6): 72.
[6] Mohammad Wasim, Arfan Tariq, Munib Ahmed Shafique, et al. Journal of Radioanalytical and Nuclear Chemistry, 2020, 323(1): 179.
[7] Myakalwar A K, Sandoval C, Velásquez M, et al. Minerals, 2021, 11(10): 1073.
[8] SUN Lan-xiang, WANG Wei, ZHANG Peng, et al(孙兰香, 汪 为, 张 鹏, 等). Metallurgical Analysis(冶金分析), 2021，41(12): 58.
[9] Noll R, Fricke-Begemann C, Connemann S, et al. J. Anal. At. Spectrom., 2018, 33: 945.
[10] Aragón C, Aguilera J A, Campos J. Applied Spectroscopy, 1993, 47(5): 606.
[11] Peter L, Sturm V, Noll R. Appl. Opt., 2003，42: 6199.
[12] Noll R, Fricke-Begemann C, Brunk M, et al. Spectrochimica Acta Part B: Atomic Spectroscopy, 2014, 93: 41.
[13] Volker Sturm, Benjamin Erben, Rüdiger Fleige, et al. Opt. Express, 2019，27: 36855.
[14] Li J M, Zhu Z H, Zhou R, et al. Anal. Chem., 2017, 89: 8134.
[15] Sun L, Yu H, Cong Z, et al. Spectrochim. Acta, Part B, 2015，112: 40.
[16] Cui M, Deguchi Y, Yao C, et al. Spectrochim. Acta, Part B, 2020，167: 105839.
[17] YU Feng-ping, LIN Jing-jun, LIN Xiao-mei, et al(于凤萍, 林京君, 林晓梅，等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2022, 42(1): 197.
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