Laser & Optoelectronics Progress, Volume. 59, Issue 23, 2330001(2022)

Fine Classification Method of Stainless Steel Based on LIBS Technology

Weiyang Bai, Weifang Chen*, Chengjie Yang, Yun Hong, and Ruixin Wang
Author Affiliations
  • College of Mechanical & Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210001, Jiangsu , China
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    Figures & Tables(9)
    Experimental setup of laser-induced breakdown spectroscopy
    Stainless steel sample
    Effects of different parameters on signal intensity, relative standard deviation, and signal-to-background ratio. (a)-(c) Effects of laser energy; (d)-(f) effects of delay time; (g)-(i) effects of focus depth
    Original spectrum and spectrum after pretreatment of 304 stainless steel. (a) Original spectrum; (b) spectrum after preprocessing
    Classification model establishment and test flow chart
    Influence of decision tree number on classification accuracy
    Classification accuracy of 100 experiments
    • Table 1. Element content of stainless steel sample

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      Table 1. Element content of stainless steel sample

      Experimental

      sample

      Mass fraction /%
      CrNiMoMn
      20116-183.5-5.505.5-7.5
      30418-208-10.50≤2
      31616-1810-142-3≤2
      43016-18≤0.60≤1
    • Table 2. Analytical spectral line

      View table

      Table 2. Analytical spectral line

      ElementAnalytical spectral line /nm
      Cr396.1228,425.5089,427.5379
      Ni341.4527,352.6081,440.5146
      Mo386.5071
      Mn257.5537,259.3023
      Fe234.3264,238.1051,302.0019
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    Weiyang Bai, Weifang Chen, Chengjie Yang, Yun Hong, Ruixin Wang. Fine Classification Method of Stainless Steel Based on LIBS Technology[J]. Laser & Optoelectronics Progress, 2022, 59(23): 2330001

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    Paper Information

    Category: Spectroscopy

    Received: Feb. 8, 2022

    Accepted: Jun. 22, 2022

    Published Online: Nov. 28, 2022

    The Author Email: Chen Weifang (meewfchen@nuaa.edu.cn)

    DOI:10.3788/LOP202259.2330001

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