光谱学与光谱分析
钢液中多元素的LIBS实时定量分析
陈 凯，陆继东* ，李俊彦
华南理工大学电力学院，广东 广州 510640
Real-Time, Quantitative Analysis of Multi-Elements in Liquid Steel by LIBS
CHEN Kai, LU Ji-dong* , LI Jun-yan
School of Electric Power, South China University of Technology, Guangzhou 510640，China
摘要 ： 将激光诱导击穿光谱(LIBS)技术直接应用于钢液成分的检测。研究结果表明，氩气作为保护气不仅可以避免钢液表面的氧化，同时可以增强等离子体信号强度。在氩气氛围下，钢液表面被聚焦成高功率密度的脉冲激光击穿形成等离子体，利用耦合CCD的多通道光纤光谱仪探测等离子体在冷却过程中发射的光谱信号，得到钢液组分的相关信息。根据分析谱线选取原则，确定了主要合金元素Mn，Si和Cr的特征谱线，并建立了相应元素的定标曲线，曲线的线性拟合度均在0.925以上，对应的质量浓度检测限分别为75.7，23.8和724.5 μg·g-1 。
关键词 ：钢液;激光诱导击穿光谱;多元素检测;定量分析
Abstract ：The technique of laser induced breakdown spectroscopy (LIBS) was applied to analyze the composition of liquid steel. The results of research indicated that oxidation of liquid steel on the surface could be avoided because the argon and the plasma signal was enhanced at the same time. The surface of liquid steel was excited by high-energy pulse laser and plasma was formed in argon atmosphere. The spectral signal was collected with a multi-channel CCD spectrometer when the plasma cooled off and relevant information about the composition of samples was obtained. The characteristic spectral lines of analyzed elements were selected according to the selecting principle of line in LIBS and the calibration curves of major alloying elements Mn, Si and Cr were constructed. The degrees of linear fitting were all more than 0.925 and the limit of detection of Mn, Si and Cr were 75.7, 23.8 and 724.5 μg·g-1 , respectively.
Key words ：Liquid steel;Laser-induced breakdown spectroscopy (LIBS);Multi-elemental analysis;Quantitative analysis
收稿日期: 2010-07-02
修订日期: 2010-10-16
通讯作者:
陆继东
E-mail: jdlu@scut.edu.cn
[1] WANG Hai-zhou(王海舟). Physical Testing and Chemical Analysis(Part B:Chemical Analysis)(理化检验-化学分册), 2001, 37(2): 49.
[1]
刘 佳，郭飞飞，于 雷，崔飞鹏，赵 迎，韩 冰，沈学静，王海舟. 激光诱导击穿光谱技术对钕铁硼永磁材料中多元素的定量表征
[2]
刘浩东，姜喜全，牛 昊，刘钰博，李 惠，刘 媛，Wei Zhang，李鲁艳，陈 婷，赵燕杰，倪家升. 基于激光拉曼光谱归一化法的乙醇定量分析研究
[3]
杨文锋，林德惠，曹 宇，钱自然，李绍龙，朱德华，李 果，张 赛. 基于PCA-SVM的飞机蒙皮激光分层除漆LIBS在线监测研究
[4]
林宏健，翟 娟，赖万昌，曾晨浩，赵紫琪，石 洁，周金戈. 应用同源自校正EDXRF分析法测定三元正极材料中Mn、Co、Ni的含量
[5]
黄 丽，马瑞峻，陈 瑜，蔡 祥，颜振锋，唐 昊，李艳芬. 利用紫外-可见光谱与平行因子分析法快速检测水体中多种有机磷农药的实验研究
[6]
李忠兵，蒋川东，梁海波，段洪名，庞 微. 粗精选策略二进制灰狼优化算法用于红外光谱特征选择
[7]
孙成玉，焦 龙，闫娜莹，闫春华，屈 乐，张晟瑞，马 羚. 激光诱导击穿光谱结合人工神经网络鉴别不同产地的丹参药材
[8]
刘 曙，金 悦，苏 飘，闵 红，安雅睿，吴晓红. 变量重要性-反向传播人工神经网络辅助激光诱导击穿光谱测定铁矿石中硅、铝、钙和镁含量
[9]
孔德明，刘亚茹，杜雅欣，崔耀耀. 基于LIF技术结合波长优选的油膜厚度检测方法分析
[10]
赵堉文，张泽帅，朱晓英，王海霞，李 正，卢红委，奚 萌. 表面增强拉曼光谱技术在多元病原菌同时检测中的应用策略
[11]
李长明，陈安民，高 勋，金明星. 不同样品温度下激光诱导等离子体的空间分辨光谱
[12]
赵 洋，张 雷，程年恺，尹王保，侯佳佳，白成华. 二元激光等离子体的时空演化机制研究
[13]
王 斌，郑少锋，甘久林，刘 曙，李伟才，杨中民，宋武元. 塑料标准样品结合偏最小二乘法在激光诱导击穿光谱法元素定量分析领域的研究
[14]
程枭翔，吴 娜，刘 薇，王克青，李辰元，陈坤龙，李延祥. 基于拉曼光谱成像技术的铁质文物锈蚀产物定量模型研究
[15]
胡梦颖，张鹏鹏，刘 彬，杜雪苗，张灵火，徐进力，白金峰. 高压制样-激光诱导击穿光谱技术测定土壤中的硅铝铁钾
