Volume 47 Issue 8
Aug.  2018
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Article Navigation >  Infrared and Laser Engineering  > 2018  >  47(8): 806003-0806003(8)

Mei Yaguang, Cheng Yuxin, Cheng Shusen, Hao Zhongqi, Guo Lianbo, Li Xiangyou, Zeng Xiaoyan. Simultaneous analysis of Si, Mn and Ti segregation in pig iron by laser-induced breakdown spectroscopy[J]. Infrared and Laser Engineering, 2018, 47(8): 806003-0806003(8). doi: 10.3788/IRLA201847.0806003
Citation: Mei Yaguang, Cheng Yuxin, Cheng Shusen, Hao Zhongqi, Guo Lianbo, Li Xiangyou, Zeng Xiaoyan. Simultaneous analysis of Si, Mn and Ti segregation in pig iron by laser-induced breakdown spectroscopy[J]. Infrared and Laser Engineering, 2018, 47(8): 806003-0806003(8). doi: 10.3788/IRLA201847.0806003
shu

Simultaneous analysis of Si, Mn and Ti segregation in pig iron by laser-induced breakdown spectroscopy

doi: 10.3788/IRLA201847.0806003
  • 1.

    School of Metallurgical and Ecological Engineering,University of Science and Technology Beijing,Beijing 100083,China;

  • 2.

    Wuhan National Laboratory for Optoelectronics,Laser and Terahertz Technology Division,Huazhong University of Science and Technology,Wuhan 430074,China

  • Received Date: 2018-03-10
  • Rev Recd Date: 2018-04-20
  • Publish Date: 2018-08-25
  • There has been no effective method for detecting the element segregation of large metallic material samples so far. In this research, the newly emerging laser-induced breakdown spectroscopy (LIBS) was applied to quantitatively analyze the segregation of Si, Mn and Ti in pig iron simultaneously. The spectra lines of Si (288.16 nm), Mn (293.31 nm) and Ti (334.94 nm) were selected as the quantitative analysis spectral lines, while lines of Fe (263.58 nm, 441.51 nm, 370.79 nm) were chosen as the internal calibration lines to reduce the influence of matrix effect. The fitting correlation coefficients (R2) were 0.991 7, 0.990 3, 0.991 2, respectively, which proved the ability of LIBS in measuring the concentration of Si, Mn and Ti correctly and simultaneously. A pig iron sample from blast furnace was cut into two round iron samples, whose surface were analyzed with the help of spatial-resolved LIBS subsequently. The element maps revealed the segregation locations of Si, Mn and Ti. The maximum positive and negative segregation degree of three alloy elements was also calculated based on the analysis results of LIBS. The work in this study demonstrates the capability of LIBS for detecting the segregation of alloy elements in pig iron simultaneously. It also reveals the segregation law of alloy elements in pig iron, which is meaningful for the understanding of alloy elements transfer and distribution during solidification process.
  • [1] Kajatani T, Drezet J M, Rappaz M. Numerical simulation of deformation-induced segregation in continuous casting of steel[J]. Metallurgical and Materials Transactions A, 2001, 32(6):1479-1491.
    [2] Choudhary S K, Ganguly S. Morphology and segregation in continuously cast high carbon steel billets[J]. ISIJ International, 2007, 47(12):1759-1766.
    [3] Ludlow V, Normanton A, Anderson A, et al. Strategy to minimise central segregation in high carbon steel grades during billet casting[J]. Ironmaking Steelmaking, 2005, 32(1):68-74.
    [4] Hou Guanyu, Wang Ping, Tong Cunzhu. Progress in laser-induced breakdown spectroscopy and its applications[J]. Chinese Optics, 2013, 6(4):490-500. (in Chinese)
    [5] Li Zhanfeng, Wang Ruiwen, Deng Hu, et al. Laser induced breakdown spectroscopy of Pb in Coptis chinensis[J]. Infrared and Laser Engineering, 2016, 45(10):1006003. (in Chinese)
    [6] Yuan Di, Gao Xun, Yao Shuang, et al. The detection of heacy metals in soil with laser induced breakdown spectroscopy[J]. Spectroscopy and Spectral Analysis, 2016, 36(8):2617-2620. (in Chinese)
    [7] Dell'Aglio M, Gaudiuso R, Senesi G S, et al. Monitoring of Cr, Cu, Pb, V and Zn in polluted soils by laser induced breakdown spectroscopy (LIBS)[J]. Journal of Environmental Monitoring, 2011, 13(5):1422-1426.
    [8] Li Wenhong, Shang Liping, Wu Zhixiang, et al. Determination of Al and Fe in cement by laser-induced breakdown spectroscopy[J]. Infrared and Laser Engineering, 2015, 44(2):508-512. (in Chinese)
    [9] Mohamed W T Y. Improved LIBS limit of detection of Be, Mg, Si, Mn, Fe and Cu in aluminum alloy samples using a portable Echelle spectrometer with ICCD camera[J]. Optics Laser Technology, 2008, 40(1):30-38.
    [10] Liu Li, Xiao Pingping. Accuracy improvement of temperature calculation of the laser-induced plasma using wavelet transform baseline subtraction[J]. Spectroscopy and Spectral Analysis, 2016, 36(2):545-549. (in Chinese)
    [11] Hao Z Q, Li C M, Shen M, et al. Acidity measurement of iron ore powders using laser-induced breakdown spectroscopy with partial least squares regression[J]. Optics Express, 2015, 23(6):7795-7801.
    [12] Rai N K, Rai A K. LIBS-an efficient approach for the determination of Cr in industrial wastewater[J]. Journal of Hazardous Materials, 2008, 150(3):835-838.
    [13] Li X, Yin H, Wang Z, et al. Quantitative carbon analysis in coal by combining data processing and spatial confinement in laser-induced breakdown spectroscopy[J]. Spectrochimica Acta Part B:Atomic Spectroscopy, 2015, 111:102-107.
    [14] Chen Shihe, Lu Jidong, Zhang Bo, et al. Controllable factors in detection of pulverized coal flow with LIBS[J]. Optics and Precision Engineering, 2013, 21(7):1651-1658. (in Chinese)
    [15] Emde Benjamin, Hermsdorf Jrg, Kaierle Stefan. Identification of the zinc dispersion in rubber blends by libs with a Nd:YAG laser[J]. Chinese Optics, 2015, 8(4):596-602.
    [16] Bou-Bigne F. Laser-induced breakdown spectroscopy applications in the steel industry:Rapid analysis of segregation and decarburization[J]. Spectrochimica Acta Part B:Atomic Spectroscopy, 2008, 63(10):1122-1129.
    [17] Bou-Bigne F. Simultaneous characterization of elemental segregation and cementite networks in high carbon steel products by spatially-resolved laser-induced breakdown spectroscopy[J]. Spectrochimica Acta Part B:Atomic Spectroscopy, 2014, 96:21-32.
    [18] Zhang Yong, Jia Yunhai, Chen Jiwen, et al. Segregation bands analysis of steel sample using laser-induced breakdown spectroscopy[J]. Spectroscopy and Spectral Analysis, 2013, 33(12):3383-3387. (in Chinese)
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Simultaneous analysis of Si, Mn and Ti segregation in pig iron by laser-induced breakdown spectroscopy

doi: 10.3788/IRLA201847.0806003
  • 1. School of Metallurgical and Ecological Engineering,University of Science and Technology Beijing,Beijing 100083,China;
  • 2. Wuhan National Laboratory for Optoelectronics,Laser and Terahertz Technology Division,Huazhong University of Science and Technology,Wuhan 430074,China
  • Received Date: 2018-03-10
  • Rev Recd Date: 2018-04-20
  • Publish Date: 2018-08-25

Abstract: There has been no effective method for detecting the element segregation of large metallic material samples so far. In this research, the newly emerging laser-induced breakdown spectroscopy (LIBS) was applied to quantitatively analyze the segregation of Si, Mn and Ti in pig iron simultaneously. The spectra lines of Si (288.16 nm), Mn (293.31 nm) and Ti (334.94 nm) were selected as the quantitative analysis spectral lines, while lines of Fe (263.58 nm, 441.51 nm, 370.79 nm) were chosen as the internal calibration lines to reduce the influence of matrix effect. The fitting correlation coefficients (R2) were 0.991 7, 0.990 3, 0.991 2, respectively, which proved the ability of LIBS in measuring the concentration of Si, Mn and Ti correctly and simultaneously. A pig iron sample from blast furnace was cut into two round iron samples, whose surface were analyzed with the help of spatial-resolved LIBS subsequently. The element maps revealed the segregation locations of Si, Mn and Ti. The maximum positive and negative segregation degree of three alloy elements was also calculated based on the analysis results of LIBS. The work in this study demonstrates the capability of LIBS for detecting the segregation of alloy elements in pig iron simultaneously. It also reveals the segregation law of alloy elements in pig iron, which is meaningful for the understanding of alloy elements transfer and distribution during solidification process.

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