光子学报, 2018, 47 (8): 0847011, 网络出版: 2018-09-16
基于内标法的钢铁中硫和磷激光诱导击穿光谱定量分析
激光诱导击穿光谱 内标法 铬钢 杂质元素 定量分析 Laser-induced breakdown spectroscopy Internal standard method Chrome steel Impurity elements Quantitative analysis
摘要
利用激光诱导击穿光谱技术对铬钢样品中的硫、磷元素进行了定量分析.采用1 064 nm Nd∶YAG 固体激光器, 在空气中激发样品, 产生的光谱信号通过中阶梯光栅分光后进入EMCCD 检测器, 对波长在220~800 nm 范围的光谱信号进行检测.研究了光谱强度与延时时间以及激光能量之间的关系.在优化的实验参数下采用谱线强度比内标法定量分析三种铬钢样品中的硫、磷元素含量.实验结果表明, 各元素定量结果的相对标准偏差最大值为2.6%, 相对误差为-8.3%~12.5%.三种铬钢样品中硫含量分别为0.011%、0.0079%和0.0048%, 磷含量分别为0.015%、0.014%和0.009%.激光诱导击穿光谱技术有望实现冶金工业的实时、在线和快速检测.
Abstract
The content of Sulfur and phosphorus in chrome steel samples were quantitatively analyzed by laser induced breakdown spectroscopy. The plasma was obtained by Nd∶YAG(1 064 nm)pulse laser in air atmosphere. The spectrum range from 200 to 800 nm was detected by Echelle spectrograph and EMCCD detector. The effects of detection delay time and laser pulse energy on the spectral intensity were investigated. Under optimal conditions, sulfur and phosphorus in the three chrome steel samples were quantitatively analyzed using the internal standard method. The experimental results showed that the maximum relative standard deviation was 2.6%, and the relative errors were -8.3%~12.5%. The content of sulfur in the three chrome steel samples respectively were 0.011%, 0.0079% and 0.0048%, and phosphorus were 0.015%, 0.014% and 0.009%. LIBS technology is an effective tool for spectral analysis and expected to achieve real time, online and rapid detection for steel samples.
丁宇, 熊雄, 赵兴强. 基于内标法的钢铁中硫和磷激光诱导击穿光谱定量分析[J]. 光子学报, 2018, 47(8): 0847011. DING Yu, XIONG Xiong, ZHAO Xing-qiang. [J]. ACTA PHOTONICA SINICA, 2018, 47(8): 0847011.