Analysis of laser-induced breakdown spectroscopy characteristics of liquid slag
LIU Xiuye1, ZHOU Ping2, HUANG Shaowen2, GAO Hongwei1 LI Yang3,4,5, SUN Lanxiang*3,4,5
1. Shenyang Ligong University,Shenyang 110159,China; 2. Shandong Iron and Steel Company Ltd.,Jinan 271105,China; 3. State Key Laboratory of Robotics,Shenyang Institute of Automation,Chinese Academy of Sciences,Shenyang 110016,China; 4. Key Laboratory of Networked Control Systems,Chinese Academy of Sciences,Shenyang 110016,China; 5. Institutes for Robotics and Intelligent Manufacturing,Chinese Academy of Sciences,Shenyang 110169,China
Abstract：The rapid online analysis of liquid slag has important significance to improve the stability of steel-making process. In order to explore the key factors influencing the online measurement of refining slag by laser-induced breakdown spectroscopy (LIBS), the effects of slag composition, temperature and measurement distance on spectral intensity and its stability were studied. The temperatures were 1 350 ℃, 1 400 ℃ and 1 450 ℃, and the measurement distance ranged from 53.7 cm to 55.7 cm. The results showed that there was no obvious influence on the spectral intensity when the measurement distance varied within 2 cm under experimental conditions. However, the composition and temperature of slag had a great influence on spectral intensity and its stability. The higher the concentration of Fe in the slag, the lower the viscosity of the slag at the same temperature, the better the fluidity, the stronger the spectral intensity obtained, and the better the spectral stability. Meanwhile, the increase of temperature was also helpful to reduce the slag viscosity and improve the spectral intensity and its stability. Moreover, the contents of Ca in 28 slag samples were quantitatively analyzed at 1 450 ℃. The recursive feature elimination method combined with partial least squares (PLS) was adopted for quantitative modeling. The root mean square error of prediction (RMSEP) of test set was 1.47%.
[1] 史志新,刘锦燕,王春梅.不同碱度钢渣显微形貌及物相变化分析研究[J].冶金分析,2015,35(11):16-22. SHI Zhixin,LIU Jinyan,WANG Chunmei.Analysis of and research on micro-morphology and phase change of steel slag with different alkalinity[J]. Metallurgical Analysis,2015,35(11):16-22. [2] 孙兰香,汪为,张鹏,等.激光诱导击穿光谱在冶金在线分析中的应用研究进展[J].冶金分析,2021,41(12):58-67. SUN Lanxiang,WANG Wei,ZHANG Peng,et al.Research progress of laser-induced breakdown spectroscopy in metallurgical on-line analysis application[J].Metallurgical Analysis,2021,41(12):58-67. [3] Noll R,Bette H,Brysch A,et al.Laser-induced breakdown spectrometry—applications for production control and quality assurance in the steel industry[J].Spectrochimica Acta Part B:Atomic Spectroscopy,2001,56(6):637-649. [4] Kolmhofer P J,Eschlböck-Fuchs S,Huber N,et al.Calibration-free analysis of steel slag by laser-induced breakdown spectroscopy with combined UV and VIS spectra[J].Spectrochimica Acta Part B:Atomic Spectroscopy,2015,106:67-74. [5] Sturm V,Schmitz H U,Reuter T,et al.Fast vacuum slag analysis in a steel works by laser-induced breakdown spectroscopy[J]. Spectrochimica Acta Part B:Atomic Spectroscopy,2008,63(10):1167-1170. [6] Hussain T,Gondal M A.Laser induced breakdown spectroscopy (LIBS) as a rapid tool for material analysis[J].Journal of Physics: Conference Series,2013,439:012050. [7] Palagas C,Stavropoulos P,Couris S,et al.Investigation of the parameters influencing the accuracy of rapid steelmaking slag analysis with laser-induced breakdown spectroscopy[J].Steel Research International,2007,78(9):693-703. [8] Noll R,Fricke-Begemann C,Brunk M,et al.Laser-induced breakdown spectroscopy expands into industrial applications[J]. Spectrochimica Acta Part B:Atomic Spectroscopy,2014,93:41-51. [9] Sturm V,Fleige R,De-Kanter M,et al.Laser-induced breakdown spectroscopy for 24/7 automatic liquid slag analysis at a steel works[J].Analytical Chemistry,2014,86(19):9687-9692. [10] 马翠红,马云望.温度的改变对激光诱导炉渣等离子体信号的影响[J].激光杂志,2020,41(5):28-30. MA Cuihong,MA Yunwang.Study on the stability on laser induced slag plasma signal[J].Laser Journal,2020,41(5):28-30. [11] 马云望,马翠红.LIBS技术在检测炉渣中的最佳实验参数的研究[J].激光杂志,2019,40(6):18-20. MA Yunwang,MA Cuihong.Research on the optimal experimental parameters for detecting slag based on LIBS[J].Laser Journal,2019,40(6):18-20. [12] Petersson J,Gilbert-Gatty M,Bengtson A.Rapid chemical analysis of steel slag by laser-induced breakdown spectroscopy for near-the-line applications[J].Journal of Analytical Atomic Spectrometry,2020,35(9):1848-1858. [13] 佘文文,刘赵晶,陈雪梅,等.FeO、Al2O3和MgO质量分数对高炉初渣黏度的影响[J].中国冶金,2019,29(7):13-16. SHE Wenwen,LIU Zhaojing,CHEN Xuemei,et al.Effect of FeO, Al2O3 and MgO mass fraction on viscosity of blast furnace primary slag[J].China Metallurgy,2019,29(7):13-16. [14] 赵晨光.CaO-SiO2-MgO-Al2O3-FeO系高炉中间渣流动性能与结构[D].鞍山:辽宁科技大学,2019. [15] 戴曦,张传福.FeO-MgO-CaO-SiO2系炉渣电导的测定与研究[J].有色金属(冶炼部分),2005(4):2-4. DAI Xi,ZHANG Chuanfu.Electrical conductivity measurement of FeO-MgO-CaO-SiO2 slag[J].Nonferrous Metals(Extractive Metallurgy),2005(4):2-4. [16] WANG Guodong,SUN Lanxiang,WANG Wei,et al.A feature selection method combined with ridge regression and recursive feature elimination in quantitative analysis of laser induced breakdown spectroscopy[J].Plasma Science and Technology,2020,22(7):16-25.
