首页|氩气环境对激光诱导击穿光谱法检测钢中C、P、S元素的影响研究

氩气环境对激光诱导击穿光谱法检测钢中C、P、S元素的影响研究

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激光诱导击穿光谱技术在实现钢水成分在线分析上展现了强大的应用潜力.然而,在测量钢中非常重要的C、P、S组成元素时,由于其有效的发射谱线无法在空气中远距离传输,这些元素的探测一直是个挑战.该论文工作研究了在1.5 m长探枪下,探枪中氩气环境对检测钢中C、P、S元素的影响规律,发现氩气流量过大或过小都不利于光谱测量,在气流量设置为11 L·min-1时,获得的光谱最稳定且谱线强度最大.使用14个标准钢样本,在最优气流量下对C、P、S三种元素实现了明显检出以及定量分析.通过内标标定后,三种元素获得的检出限(LOD)分别为0.009%、0.04%、0.015%,相对标准偏差(RSD)分别为2.34%、1.05%、1.01%,相关系数(R)分别为 0.998、0.997、0.987,均方根误差(RMSE)分别为 0.02%、0.02%、0.03%.该论文研究成果验证了该探枪设计的有效性,为实现钢水成分中C、P、S在线分析提供了重要的设计依据.
Study on the Influence of Argon Environment on the Determination of C,P and S Elements in Steel by Laser-Induced Breakdown Spectrometry
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.

Laser induced breakdown spectrum(LIBS)Vacuum ultraviolet spectrumLong distanceArgon flowElement detectionCarbonPhosphorusSulfur

张佳伟、吴东升、周洋、李洋、孙兰香

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沈阳理工大学,辽宁沈阳 110159

中国科学院沈阳自动化研究所机器人学国家重点实验室,辽宁沈阳 110016

中国科学院机器人与智能制造创新研究院,辽宁沈阳 110169

辽宁辽河实验室,辽宁沈阳 110169

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激光诱导击穿光谱 真空紫外光谱 长距离 氩气流量 元素检测

国家重点研发计划项目

2021YFB3202402

2024

光谱学与光谱分析
中国光学学会

光谱学与光谱分析

CSTPCD北大核心
影响因子:0.897
ISSN:1000-0593
年,卷(期):2024.44(10)