• Acta Photonica Sinica
  • Vol. 50, Issue 7, 249 (2021)
Rongwei ZHA1、2、3, Lidong YU1、2、3, Ben LI1、2、3, and Yang BAI1、2、3
Author Affiliations
  • 1Institute of Photonics & Photon-technology, Northwest University, Xi'an7027, China
  • 2State Key Laboratory of Photon-technology in Western China Energy, Xi'an71017, China
  • 3Shaanxi Engineering Technology Research Center for Solid State Lasers and Application, Xi'an710127, China
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    DOI: 10.3788/gzxb20215007.0714001 Cite this Article
    Rongwei ZHA, Lidong YU, Ben LI, Yang BAI. Laser Cleaning Process Monitoring of Metal Surface Based on Image Processing and LIPS Analysis[J]. Acta Photonica Sinica, 2021, 50(7): 249 Copy Citation Text show less
    Photo of rust layer on steel plate sample. The illustration shows the 200 times optical micrograph of the rust layer section
    Fig. 1. Photo of rust layer on steel plate sample. The illustration shows the 200 times optical micrograph of the rust layer section
    Schematic of on-line monitoring system for laser cleaning. The illustrations are the 2D distribution of beam energy and the path diagram of laser cleaning
    Fig. 2. Schematic of on-line monitoring system for laser cleaning. The illustrations are the 2D distribution of beam energy and the path diagram of laser cleaning
    Variation between the number of cleaning and the rust cleaning rate at different overlap ratios
    Fig. 3. Variation between the number of cleaning and the rust cleaning rate at different overlap ratios
    Macro and micro images of the steel plate sample surface after laser cleaning
    Fig. 4. Macro and micro images of the steel plate sample surface after laser cleaning
    Variation between the number of cleaning and LIBS at different rust layer and corresponding correlation coefficient γ
    Fig. 5. Variation between the number of cleaning and LIBS at different rust layer and corresponding correlation coefficient γ
    Flow chart of laser cleaning process monitoring based on the cooperation of image processing and LIPS analysis
    Fig. 6. Flow chart of laser cleaning process monitoring based on the cooperation of image processing and LIPS analysis
    Macro photos, micro 3D, 2D topography images of the steel plate sample surface before and after laser cleaning based on the process monitoring method
    Fig. 7. Macro photos, micro 3D, 2D topography images of the steel plate sample surface before and after laser cleaning based on the process monitoring method
    ParameterValue
    Wavelength/nm1 064
    Laser average power/W100
    Laser pulse energy/mJ1
    Pulse width/ns200
    Maximum scanning speed/(mm·s-19 000
    Repetition frequency/kHz100
    Focused spot diameter/µm100
    Laser beam quality factor M2< 2.0
    Table 1. Performance parameters of laser cleaning system
    C/(wt%)O/(wt%)Fe/(wt%)
    Rust layer1.1522.5176.34
    Substrate1.150.8498.01
    Argent area1.151.0897.77
    Yellow area1.142.6396.23
    Blue area1.146.4792.39
    Red & black area1.1514.3184.54
    Table 2. EDS analysis of four different color areas
    AtomNumber of cleaningObserved wavelength/nmStandard wavelength/nm

    FeⅠ

    FeⅠ

    FeⅠ

    FeⅠ

    FeⅠ

    1

    2

    3

    4

    5

    356.62

    358.47

    373.34

    382.11

    404.58

    419.90

    430.78

    432.55

    438.34

    440.45

    356.630

    358.478

    373.332

    382.119

    404.581

    419.909

    430.79

    432.576

    438.354

    440.475

    FeⅠ

    FeⅠ

    FeⅠ

    FeⅠ

    FeⅠ

    6

    7

    8

    9

    10

    Table 3. Characteristic spectral lines of steel substrate in LIPS
    ItemImage processingLIPS analysisCooperative monitoring
    Area of monitoringBigSmallBig
    Correcting the number of cleaningNoYesYes
    Controlling processNoYesYes
    Cleaning rate η< 93%/> 98%
    Oxygen content1.08%~14.34%0.99%~1.17%0.88%~1.15%
    γ value/> 0.98> 0.98
    Table 4. Data comparison between single monitoring and cooperative monitoring after laser cleaning
    Rongwei ZHA, Lidong YU, Ben LI, Yang BAI. Laser Cleaning Process Monitoring of Metal Surface Based on Image Processing and LIPS Analysis[J]. Acta Photonica Sinica, 2021, 50(7): 249
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