Abstract:An independently-developed laser composition analyzer based on laser-induced breakdown spectroscopy (LIBS) technology was used to realize online detection of matte,both solid and molten matte.The tested results were compared with the X-ray fluorescence spectrometry(XRF) detection results with standard sample preparation.A total of 1 294 times with comparative data after the LIBS equipment was put into operation on site.The data consisted of 878 times solid matte and 416 times melt matte.Compared with the XRF detection results after sampling,the online detection of LIBS equipment had an average absolute error of 0.61%,and an average relative error of 1.1%.The online detection performance of the LIBS equipment had been tested,the average value of the detection result range during the copper extraction process of the same furnace was 0.64%,and the average minimum error of the online detection results compared with XRF sampling test result was 0.32%.The results showed that the LIBS technology could achieve reliable online measurement of matte in different states,and its performance met the real-time and reliability requirements of the production process for element detection.The application of LIBS equipment realized the stable and reliable online detection of the melt composition in the smelting process of the metallurgical industry,which could provide the necessary foundation for fine control of the smelting production process,the metal balance optimization and information management.
王海舟.21世纪冶金分析的若干问题[J].钢铁,2000,35(1):73-78.WANG Haizhou.Several problems in metallugical analysis in the 21st century[J].Iron and Steel,2000,35(1):73-78.
[2]
Winefordner J D,Gornushkin I B,Correll T,et al.Comparing several atomic spectrometric methods to the super stars:special emphasis on laser induced breakdown spectrometry,LIBS,a future super star[J].Journal of Analytical Atomic Spectrometry,2004,19(9):1061-1083.
[3]
Sun L,Yu H,Cong Z,et al.Applications of laser-induced breakdown spectroscopy in the aluminum electrolysis industry[J].Spectrochimica Acta Part B:Atomic Spectroscopy,2018,142:29-36.
[4]
Zhao T,Fan Z,Lian F,et al.Using laser-induced breakdown spectroscopy on vacuum alloys-production process for elements concentration analysis[J].Spectrochimica Acta Part B:Atomic Spectroscopy,2017,137:64-69.
[5]
Gudmundsson S H,Matthiasson J,Björnsson B M,et al.Quantitative in-situ analysis of impurity elements in primary aluminum processing using laser-induced breakdown spectroscopy[J].Spectrochimica Acta Part B:Atomic Spectroscopy,2019,158:105646 1-5.
[6]
Monfort Guy,Bellavia Luigi,Vanderheyden Bernard,等.基于在线激光诱导击穿光谱监控高炉流道中铁水组成的传感器研究[J].冶金分析,2012,32(11):6-11.Monfort Guy,Bellavia Luigi,Vanderheyden Bernard,et al.Development of an on-line LIBS-based sensor for monitoring the hot metal composition in the blast furnace runners[J].Metallurgical Analysis,2012,32(11):6-11.
[7]
Wang Q,Cui X,Teng G,et al.Evaluation and improvement of model robustness for plastics samples classification by laser-induced breakdown spectroscopy[J].Optics &Laser Technology,2020,125:106035 1-9.
[8]
Zhan L,Ma X,Fang W,et al.A rapid classification method of aluminum alloy based on laser-induced breakdown spectroscopy and random forest algorithm[J].Plasma Science and Technology,2019,21(3):152-158.
[9]
Sheta S,Afgan M S,Hou Z,et al.Coal analysis by laser-induced breakdown spectroscopy:a tutorial review[J].Journal of Analytical Atomic Spectrometry,2019,34(6):147-182.
[10]
刘正,贾云海,李胜.激光诱导击穿光谱分析钛合金铸件三维成分分布[J].冶金分析,2016,36(6):1-7.LIU Zheng,JIA Yunhai,LI Sheng.Analysis of three-dimensional composition distribution in titanium alloy casting by laser induced breakdown spectroscopy[J].Metallurgical Analysis,2016,36(6):1-7.
[11]
Ma Y,Hu Z,Tang Y,et al.Laser opto-ultrasonic dual detection for simultaneous compositional,structural,and stress analyses for wire + arc additive manufacturing[J].Additive Manufacturing,2020,31:100956 1-8.
[12]
袁司夷,朱琳,韩聪美,等.在线分析技术在中国的发展[J].中国无机分析化学,2020,10(2):20-27.YUAN Siyi,ZHU Lin,HAN Congmei,et al.Development of online analytical technology in China[J].Chinese Journal of Inorganic Analytical Chemistry,2020,10(2):20-27.
[13]
沈桂华,李华昌,史烨弘.激光诱导击穿光谱发展现状[J].冶金分析,2016,36(5):16-25.SHEN Guihua,LI Huachang,SHI Yehong.Progress in laser induced breakdown spectroscopy[J].Metallurgical Analysis,2016,36(5):16-25.
[14]
Tusset Victor.熔融金属在线控制技术的未来[J].冶金分析,2013,33(4):13-20.Tusset Victor.Future of the online control of molten metal[J].Metallurgical Analysis,2013,33(4):13-20.
[15]
江磊,朱道飞.铜冶炼全流程冰铜品位优化控制数学模型及应用[J].有色金属工程,2018,8(4):68-72.JIANG Lei,ZHU Daofei.Mathematical model and application of optimal control matte grade in copper smelting process[J].Nonferous Metals Engineering,2018,8(4):68-72.