Parameter optimization of laser-induced breakdown bauxite spectra based on cavity confinement

被引:0
|
作者
Yang Y. [1 ,2 ,3 ]
Hao X. [1 ,2 ,3 ]
Pan B. [1 ,2 ,3 ]
Zhang R. [1 ,2 ,3 ]
Liu Y. [1 ,2 ,3 ]
Sun P. [1 ,2 ,3 ]
Hao W. [1 ,2 ,3 ]
机构
[1] Key Laboratory of Instrumentation Science and Dynamic Measurement, Ministry of Education, North University of China, Taiyuan
[2] Department of Physics, Lvliang University, Lvliang
[3] Shanxi Huaxing Aluminum Industry Co.Ltd., Lvliang
关键词
Bauxite; Delay time; Extern cavity constraint; LIBS; SNR;
D O I
10.3788/IRLA20210661
中图分类号
学科分类号
摘要
Based on the external cavity constraint method, the experimental parameters of laser induced breakdown spectroscopy (LIBS) of Al and Si in bauxite were optimized. By setting the pressure, laser energy, delay time and other parameters, traditional LIBS and external cavity constrained LIBS (CC-LIBS) were used to ablate bauxite samples. The optimal experimental conditions were analyzed by selecting SiⅠ288.15 nm and AlⅠ308.21 nm as the characteristic spectrum. The results show that: when the pressure is 150 MPa, the deviation of the spectral line intensity is the smallest; when the energy is 80 mJ, the collected characteristic spectral line SNR is the largest; when the delay time is 1 μs, the SNR obtained by the two elements of Al and Si is the best, the optimal experiment condition is determined. Compared with traditional LIBS, the characteristic spectral line intensity and SNR collected by CC-LIBS have been improved, which provides new experimental basis and ideas for the detection of Al and Si elements in bauxite and has certain reference value. Copyright ©2022 Infrared and Laser Engineering. All rights reserved.
引用
收藏
相关论文
共 17 条
  • [1] Mei Yaguang, Cheng Yuxin, Cheng Shusen, Et al., Simultaneous analysis of Si, Mn and Ti segregation in pig iron by laser-induced breakdown spectroscopy, Infrared and Laser Engineering, 47, 8, (2018)
  • [2] Erler A, Riebe D, Beitz T, Et al., Soil nutrient detection for precision agriculture using handheld laser-induced breakdown spectroscopy (LIBS) and multivariate regression methods (PLSR, Lasso and GPR), Sensors, 20, 2, pp. 418-421, (2020)
  • [3] Yang Yanwei, Hao Xiaojian, Zhang Lili, Et al., Application of scikit and keras libraries for the classification of iron ore data acquired by laser-induced breakdown spectroscopy(LIBS), Sensors, 20, 5, pp. 1-11, (2020)
  • [4] Hou Jiajia, Zhang Lei, Zhao Yang, Et al., Mechanisms and efficient elimination approaches of self-absorption in LIBS, Plasma Science and Technology, 21, 3, pp. 1-15, (2019)
  • [5] Li Honglian, Kang Shasha, Xie Hongjie, Et al., Plasma characteristics and quantitative analysis of Pb and Ni in soil based on LIBS technology [J], Optoelectronics Letters, 31, 10, pp. 1036-1043, (2020)
  • [6] Jia Yao, Zhao Nanjin, Ma Mingjun, Et al., Online calibration of laser-induced breakdown spectroscopy for detection of heavy metals in water, Plasma Science & Technology, 21, 3, pp. 127-132, (2018)
  • [7] Jelena S, Milos M, Sanja Z, Et al., LIBS analysis of geomaterials: Comparative study of basalt plasma induced by TEA CO<sub>2</sub> and Nd: YAG laser in air at atmospheric pressure, Journal of Chemistry, 7, 11, pp. 1-9, (2017)
  • [8] Bencherif F, Beldjilali S A, Tewfik B H, Et al., Experimental study of the effect of pressure and laser fluency on laser ablation craters and LIBS emission features of brass sample, Optik, 224, pp. 1-12, (2020)
  • [9] Gomez-Nubla L, Aramendia J, -Ortiz de Vallejuelo Silvia Fdez, Et al., Analytical methodology to elemental quantification of weathered terrestrial analogues to meteorites using a portable Laser-Induced Breakdown Spectroscopy (LIBS) instrument and Partial Least Squares (PLS) as multivariate calibration technique, Microchemical Journal, 137, pp. 392-401, (2018)
  • [10] Ranulfi A C, Senesi G S, Caetano J B, Et al., Nutritional characterization of healthy and aphelenchoides besseyi infected soybean leaves by laser-induced breakdown spectroscopy (LIBS), Microchemical Journal, 141, pp. 118-126, (2018)