多元校正输入的钢液Mn元素LIBS定量分析

杨友良; 王禄; 马翠红

doi:doi:10.3788/LOP56.223003

激光与光电子学进展, 2019, 56 (22): 223003, 网络出版: 2019-11-02

多元校正输入的钢液Mn元素LIBS定量分析下载： 833次

Quantitative Analysis of Mn in Molten Steel with Multi-Factor Calibration Input Using Laser-Induced Breakdown Spectroscopy

杨友良王禄 ^*马翠红

作者单位

华北理工大学电气工程学院, 河北唐山 063210

引用该论文

杨友良, 王禄, 马翠红. 多元校正输入的钢液Mn元素LIBS定量分析[J]. 激光与光电子学进展, 2019, 56(22): 223003.

Youliang Yang, Lu Wang, Cuihong Ma. Quantitative Analysis of Mn in Molten Steel with Multi-Factor Calibration Input Using Laser-Induced Breakdown Spectroscopy[J]. Laser & Optoelectronics Progress, 2019, 56(22): 223003.

参考文献

[1] Cheri M S, Tavassoli S H. Quantitative analysis of toxic metals lead and cadmium in water jet by laser-induced breakdown spectroscopy[J]. Applied Optics, 2011, 50(9): 1227-1233.

[2] 李敏, 朱心勇, 徐媛, 等. 应用LIBS技术定量检测湖水样品中的铜[J]. 激光与光电子学进展, 2013, 50(1): 013001.

Li M, Zhu X Y, Xu Y, et al. Quantitative determination of Cu in lake water by laser induced breakdown spectroscopy[J]. Laser & Optoelectronics Progress, 2013, 50(1): 013001.

[3] 林永增, 姚明印, 陈添兵, 等. 激光诱导击穿光谱检测赣南脐橙种植土壤的Cu和Cr[J]. 激光与光电子学进展, 2013, 50(5): 053002.

Lin Y Z, Yao M Y, Chen T B, et al. Detection of Cu and Cr in the soil of navel orange plantation in Gannan by LIBS[J]. Laser & Optoelectronics Progress, 2013, 50(5): 053002.

[4] 冯为蕾, 王福娟, 曾万祺, 等. 应用于LIBS的CCD光谱测量系统[J]. 激光与光电子学进展, 2013, 50(1): 013002.

Feng W L, Wang F J, Zeng W Q, et al. CCD spectrum measurement system for laser induced breakdown spectroscopy[J]. Laser & Optoelectronics Progress, 2013, 50(1): 013002.

[5] 陈兴龙, 付洪波, 王静鸽, 等. 一种多元非线性模型在激光诱导击穿光谱定量分析中的应用[J]. 光谱学与光谱分析, 2014, 34(11): 3100-3103.

Chen X L, Fu H B, Wang J G, et al. A multivariate nonlinear model for quantitative analysis in laser-induced breakdown spectroscopy[J]. Spectroscopy and Spectral Analysis, 2014, 34(11): 3100-3103.

[6] 孙兰香, 于海斌, 丛智博, 等. 激光诱导击穿光谱技术结合神经网络定量分析钢中的Mn和Si[J]. 光学学报, 2010, 30(9): 2757-2765.

Sun L X, Yu H B, Cong Z B, et al. Quantitative analysis of Mn and Si of steels by laser-induced breakdown spectroscopy combined with neural networks[J]. Acta Optica Sinica, 2010, 30(9): 2757-2765.

[7] 徐红敏, 王海英, 梁瑾, 等. 支持向量机回归算法及其应用[J]. 北京石油化工学院学报, 2010, 18(1): 62-66.

Xu H M, Wang H Y, Liang J, et al. Support vector machine regression algorithm and its application[J]. Journal of Beijing Institute of Petro-Chemical Technology, 2010, 18(1): 62-66.

[8] 杨友良, 王鹏, 马翠红. 基于粒子群优化支持向量机的LIBS钢液Mn元素定量分析[J]. 激光与光电子学进展, 2015, 52(7): 073004.

Yang Y L, Wang P, Ma C H. Quantitative analysis of Mn element in liquid steel by LIBS based on particle swarm optimized support vector machine[J]. Laser & Optoelectronics Progress, 2015, 52(7): 073004.

[9] 陈果, 周伽. 小样本数据的支持向量机回归模型参数及预测区间研究[J]. 计量学报, 2008, 29(1): 92-96.

Chen G, Zhou J. Research on parameters and forecasting interval of support vector regression model to small sample[J]. Acta Metrologica Sinica, 2008, 29(1): 92-96.

[10] 郭水霞, 王一夫, 陈安. 基于支持向量机回归模型的海量数据预测[J]. 计算机工程与应用, 2007, 43(5): 12-14, 32.

Guo S X, Wang Y F, Chen A. Prediction on huge database on the regression model of support vector machine[J]. Computer Engineering and Applications, 2007, 43(5): 12-14, 32.

[11] 李俊香, 杨友良, 孟凡伟, 等. 用于LIBS钢液在线定量分析的基体校正方法[J]. 激光与光电子学进展, 2013, 50(3): 031406.

Li J X, Yang Y L, Meng F W, et al. Matrix correction method used for liquid steel online quantitative analysis by LIBS[J]. Laser & Optoelectronics Progress, 2013, 50(3): 031406.

[12] 李乘, 姚关心, 杨新艳, 等. 液相基质激光诱导击穿光谱的关键实验参数优化[J]. 激光与光电子学进展, 2019, 56(7): 073002.

Li C, Yao G X, Yang X Y, et al. Key experimental parameter optimization for laser induced break down spectroscopy of liquid matrix[J]. Laser & Optoelectronics Progress, 2019, 56(7): 073002.

[13] 修俊山, 刘世明, 王琨琨, 等. 基于激光诱导击穿光谱技术的铜铟镓硒纳米薄膜的分析探测研究[J]. 中国激光, 2018, 45(12): 1211002.

Xiu J S, Liu S M, Wang K K, et al. Analytical investigation of Cu(In, Ga)Se2 thin films using laser induced break down spectroscopy technology[J]. Chinese Journal of Lasers, 2018, 45(12): 1211002.

[14] 胡丽, 赵南京, 刘文清, 等. 基于多元校正的水体Pb元素LIBS定量分析[J]. 光学学报, 2015, 35(6): 0630001.

Hu L, Zhao N J, Liu W Q, et al. Quantitative analysis of Pb in water based on multivariate calibration with LIBS[J]. Acta Optica Sinica, 2015, 35(6): 0630001.

[15] 贾尧, 赵南京, 刘文清, 等. 基于LIBS技术的水体重金属连续在线检测方法[J]. 中国激光, 2018, 45(6): 0611001.

Jia Y, Zhao N J, Liu W Q, et al. Continuous online detection method of heavy metals in water based on LIBS technology[J]. Chinese Journal of Lasers, 2018, 45(6): 0611001.

[16] BekefiG. Radiation processes in plasmas[M]. New York: Wiley and Sons, 1966.

杨友良, 王禄, 马翠红. 多元校正输入的钢液Mn元素LIBS定量分析[J]. 激光与光电子学进展, 2019, 56(22): 223003. Youliang Yang, Lu Wang, Cuihong Ma. Quantitative Analysis of Mn in Molten Steel with Multi-Factor Calibration Input Using Laser-Induced Breakdown Spectroscopy[J]. Laser & Optoelectronics Progress, 2019, 56(22): 223003.

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