Laser & Optoelectronics Progress, Volume. 57, Issue 5, 053002(2020)

Quantitative Analysis of Liquid Steel Element in LIBS Using SVR Improved by Particle Swarm Optimization

Youliang Yang, Lu Wang*, and Cuihong Ma
Author Affiliations
  • College of Electrical Engineering, North China University of Science and Technology, Tangshan, Hebei 063210, China
  • show less
    Figures & Tables(10)
    LIBS experimental platform
    Liquid steel sample
    LIBS spectrum of ERM284-2D
    Flow chart of SVR and Cat-fish PSO-SVR algorithms
    Fitness changing curve of Cat-fish PSO
    Results of elemental prediction analysis in molten steel
    • Table 1. Element composition of steel samples%

      View table

      Table 1. Element composition of steel samples%

      SampleFeMnNiCrSiCuCoPS
      ERM281-170.3299.3700.2580.1761.9290.0480.0230.0120.016
      ERM282-167.15010.8600.4751.1090.7340.08600.0190.004
      ERM279-275.78610.6030.7862.1071.5160.088000
      ERM284-2D67.49610.7201.7440.1832.5370.0200.0530.0260.024
      ERM287-1D67.43910.3501.4803.2031.5690.0160.1480.0270.001
      ERM289-1D55.23824.6801.1060.0004.5310.0490.0650.0120.003
      ERM292-1D68.92710.0900.9762.1392.4020.0370.0260.0180.006
      ERM295-1D48.36024.4000.3971.4814.4180.0170.0450.0170.001
      ERM296-1D82.0205.7900.5450.1491.2420.1170.0210.0180.003
      ERM298-1D63.3807.0560.3163.2014.2620.0160.0550.0200.001
    • Table 2. Cumulative variance contribution of each influencing factor

      View table

      Table 2. Cumulative variance contribution of each influencing factor

      Component number123456789
      Eigen value9.6747.8615.3493.2450.9340.7610.6700.5110.239
      Cumulative variance contribution /%33.0826.8818.2911.103.192.602.301.750.82
    • Table 3. Eigen vectors of principal components

      View table

      Table 3. Eigen vectors of principal components

      Corrosion factorPC 1PC 2PC 3PC 4
      Peak intensity0.9670.3770.6540.385
      Integrated intensity0.0190.392-0.1590.959
      Signal-to-back ratio0.0690.8180.041-0.172
      Internal standard corrected element concentration0.5070.0680.882-0.567
      Pulse trigger delay /μs0.2970.0140.1480.069
      Distance /mm0.5030.5520.3470.462
      Spectral peak value-0.4350.4620.2970.293
      Spectral efficiency /%0.514-0.408-0.5020.377
      Intensity of temperature thermal radiation /(J·cm-2·min-1)0.205-0.5380.527-0.151
    • Table 4. Regression prediction results for test set

      View table

      Table 4. Regression prediction results for test set

      ElementSVR modelCat-fish PSO-SVR model
      R2RSD /%RMSE /%R2RSD /%RMSE /%
      Mn0.91026.103.340.95112.461.07
      Ni0. 91776.833.180.96273.170.97
      Cr0. 91749.524.070.98453.991.26
      Si0.90998.273.020.95224.501.43
    Tools

    Get Citation

    Copy Citation Text

    Youliang Yang, Lu Wang, Cuihong Ma. Quantitative Analysis of Liquid Steel Element in LIBS Using SVR Improved by Particle Swarm Optimization[J]. Laser & Optoelectronics Progress, 2020, 57(5): 053002

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Spectroscopy

    Received: Jul. 8, 2019

    Accepted: Aug. 28, 2019

    Published Online: Mar. 5, 2020

    The Author Email: Lu Wang (1099209804@qq.com)

    DOI:10.3788/LOP57.053002

    Topics