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Study on Spectral Interference Mechanism and Correction Method of Spark-Induced Breakdown Plasma |
CHEN Wei-ze1, YU Zi-yu1, QIN Huai-qing1, LU Zhi-min1, 2, YAO Shun-chun1, 2* |
1. School of Electric Power, South China University of Technology, Guangzhou 510640, China
2. Guangdong Province Engineering Research Center of High Efficiency and Low Pollution Energy Conversion, Guangzhou 510640, China
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Abstract Aiming at the problem of spectral line interference caused by tungsten electrode excitation in the particle flow-spark induced breakdown spectroscopy, a spectral line interference correction method based on plasma signal detection optimization is studied. The PF-SIBS measurement experimental system was set up. The particle flow of pure chemical graphite was taken as the research object. According to the generation and extinction process of plasma between electrodes, the distribution of characteristic spectral lines in the plasma and the variation of signal intensity of characteristic spectral lines between electrodes, the evaporation, dissociation and excitation process of characteristic elements in the plasma are analyzed, and based on this, the optimal spectral detection position is optimized. The research results show that electrons are generated in the cathode spot, and electrons collide with the electrode metal, graphite particle flow and air medium between electrodes during the process of emission to the anode, resulting in more electron emission, thus forming and maintaining the discharge channel from the cathode to the anode. In the cathode region, the Joule heat generated by the high-energy electric field promotes metal evaporation and sputtering at the cathode tip, and the impact of the expansion causes particles and air to be expelled from the cathode region, and the atoms and electrons of the tungsten metal occupy the cathode area. In the middle of the discharge channel, electrons collide with the dense flow of graphite particles and ionize. In the anode region, the remaining discharge energy is difficult to evaporate the anode metal, and the electrons mainly ionize the air medium. Thus, the region from the cathode to the anode is divided into a cathode metal excitation region, a middle particle excitation region and an anode air excitation region. The ions and neutral atoms of the ionized electrodes metal, graphite particles and air medium occupy their respective excitation regions, forming plasma and radiating corresponding characteristic spectral lines. The characteristic spectral line intensity change from cathode to anode shows the same results as above, The intensity of W 247.78 nm spectral line is stronger in the cathode region and shows a decreasing trend; C 247.86 nm increased first and then decreased and reached the maximum at the center of the electrode spacing; N 744.23 nm gradually increased and reached the maximum at the tip of the anode. Using the C-W signal intensity ratio as the evaluation index of the C-W spectral line interference degree, the optimal spectral detection position was determined to be 0.5 mm away from the anode. Compared with the common spectral detection position (the center of the electrode spacing), the C-W signal intensity ratio increased from 1.200 to 1.348. The ratio of the peak fitting value of C 247.86 nm signal intensity to the observed value increased from 86.02% to 94.93%, and the C-W spectral line interference effect was significantly reduced.
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Received: 2022-07-26
Accepted: 2022-11-10
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Corresponding Authors:
YAO Shun-chun
E-mail: epscyao@scut.edu.cn
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[1] ZHU Fa-hua, WANG Yu-shan, XU Zhen, et al(朱法华,王玉山,徐 振,等). Electric Power Technology and Environmental Protection(电力科技与环保), 2021, 37(3): 9.
[2] ZHANG Lian-xiang, FU Bin(章连香,符 斌). Chinese Journal of Inorganic Analytical Chemistry(中国无机分析化学), 2013, 3(3): 1.
[3] YANG Liu, DONG Xue-ying, MENG Dong-yang, et al(杨 柳,董雪莹,孟东阳,等). China Mining Magazine(中国矿业), 2014, 23(S2): 293.
[4] YAN Hong-wei, CHEN Peng-qiang, LU Hui-shan, et al(闫宏伟,陈鹏强,陆辉山,等). Coal Technology(煤炭技术), 2014, 33(4): 224.
[5] ZHANG Zhong-hui(赵忠辉). Coal Technology(煤炭技术), 2018, 37(1): 312.
[6] Harmon R S, Russo R E, Hark R R, et al. Spectrochemical Acta Part B: Atomic Spectroscopy, 2013, 87: 11.
[7] Li W B, Dong M R, Lu S Z, et al. Analytical Methods, 2019, 11(35): 4471.
[8] Yao S C, Xu J L, Zhao J B, et al. Energy & Fuels, 2017, 31(5): 4681.
[9] HE Yong-chao, YU Zi-yu, SHI Li-bao, et al(何勇超,喻子彧,师利宝,等). Clean Coal Technology(洁净煤技术), 2021, 27(5): 124.
[10] Yao S C, Xu J L, Dong X, et al. Spectrochimica Acta Part B: Atomic Spectroscopy, 2015, 110: 146.
[11] Doh I J, Gondhalekar C, Patsekin V, et al. Applied Spectroscopy, 2019, 73(6): 698.
[12] Diwakar P K, Kulkarni P. Journal of Analytical Atomic Spectrometry, 2012, 27(7): 1101.
[13] Ikeda Y, Tsuruoka R. Applied Optics, 2012, 51(7): B183.
[14] Srungaram P K, Ayyalasomayajula K K, Yuem F, et al. Spectrochimica Acta Part B: Atomic Spectroscopy, 2013, 87: 108.
[15] PENG Fei-fei, ZHOU Qi, CHEN Yu-qi, et al(彭飞飞,周 奇,陈钰琦,等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2013, 33(9): 2558.
[16] Belkov M V, Burakov V S, Giacomo A D, et al. Spectrochimica Acta Part B: Atomic Spectroscopy, 2009, 64(9): 899.
[17] Yao S C, Xu J L, Zhang L F, et al. Scientific Reports, 2018, 8(1): 1868.
[18] Yao S C, Xu J L, Zhang X, et al. Journal of Analytical Atomic Spectrometry, 2018, 33(6): 986.
[19] Yao S C, Zhang L F, Xu J L, et al. Energy & Fuels, 2017, 31(11): 12093.
[20] Yao S C, Zhang L F, Yin K J, et al. Journal of Analytical Atomic Spectrometry, 2018, 33(10): 1676.
[21] Yang J H, Jung J, Ryu J H, et al. Chemosphere, 2020, 257: 127237.
[22] Yuan H, Ye Z, Wang X, et al. Journal of Analytical Atomic Spectrometry, 2022, 37(2): 381.
[23] Li H, Mazzei L, Wallis C D, et al. Atmospheric Environment, 2021, 264: 118666.
[24] Rosén J, Anders A, Hultman L, et al. Journal of Applied Physics, 2004, 96(9): 4793.
[25] Pai D Z, Lacoste D A, Laux C O. Plasma Sources Science and Technology, 2010, 19(6): 065015.
[26] Tholin F, Bourdon A. Journal of Physics D: Applied Physics, 2013, 46(36): 365205.
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