• Spectroscopy and Spectral Analysis
  • Vol. 42, Issue 1, 197 (2022)
Feng-ping YU*, Jing-jun LIN1; *;, Xiao-mei LIN1; 3; *;, and Lei LI1; 2; *;
Author Affiliations
  • 1. Department of Electronics and Electrical Engineering, Changchun University of Technology, Changchun 130012, China
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    DOI: 10.3964/j.issn.1000-0593(2022)01-0197-06 Cite this Article
    Feng-ping YU, Jing-jun LIN, Xiao-mei LIN, Lei LI. Detection of C Element in Alloy Steel by Double Pulse Laser Induced Breakdown Spectroscopy With a Multivariable GA-BP-ANN[J]. Spectroscopy and Spectral Analysis, 2022, 42(1): 197 Copy Citation Text show less
    Schematic diagram of the experimental setup
    Fig. 1. Schematic diagram of the experimental setup
    (a)The fitting curve of C content (%) with its spectral line intensity (b) the fitting curve of C content (%) with C / Fe spectral lines intensity ratios
    Fig. 2. (a)The fitting curve of C content (%) with its spectral line intensity (b) the fitting curve of C content (%) with C / Fe spectral lines intensity ratios
    The DP-LIBS spectrum of alloy steel and selected characteristic analysis spectrum lines
    Fig. 3. The DP-LIBS spectrum of alloy steel and selected characteristic analysis spectrum lines
    The correlation curve between predicted content and certified content of element C by internal calibration, multivariable GA-BP-ANN of and univariate BP-ANN
    Fig. 4. The correlation curve between predicted content and certified content of element C by internal calibration, multivariable GA-BP-ANN of and univariate BP-ANN
    12345678910
    C0.0810.0990.1220.2220.3580.4180.5800.6640.7470.881
    Fe98.77398.22697.23694.11697.23896.91496.48998.02194.88596.492
    Table 1. Reference concentration (%) of element C and Fe in the samples
    No.12345678910
    RE/%49.3853.5418.038.1110.0610.7710.356.338.577.26
    Table 2. The relative error (RE%) of internal calibration in predicted content of element C
    No.12345678910
    RE/%64.2033.3349.1810.3615.0816.276.553.311.345.56
    Table 3. The relative error (RE%) of univariate BP-ANN calibration in predicted content of element C
    No.12345678910
    RE/%98.76527.276.568.117.8211.006.902.561.472.95
    Table 4. The relative error (RE%) of multivariable GA-BP-ANN calibration in predicted content of element C
    Internal
    calibration
    BP-ANNGA-BP-ANN
    ARE/%14.7814.758.29
    ARSD/%12.38511.1238.818
    Table 5. The average of relative error (ARE%) and relative standard deviation (ARSD%) by internal calibration, multivariable GA-BP-ANN of and univariate BP-ANN predicted content of element C
    Feng-ping YU, Jing-jun LIN, Xiao-mei LIN, Lei LI. Detection of C Element in Alloy Steel by Double Pulse Laser Induced Breakdown Spectroscopy With a Multivariable GA-BP-ANN[J]. Spectroscopy and Spectral Analysis, 2022, 42(1): 197
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