Chinese Journal of Lasers, Volume. 50, Issue 24, 2402106(2023)

Machine Vision‑Based Spatter Monitoring Method and Spatter Characterization for High Power Laser Welding Process

Wang Cai1, Ping Jiang2,3, Leshi Shu2,3, Shaoning Geng2,3, Qi Zhou4, and Longchao Cao1、*
Author Affiliations
  • 1Hubei Key Laboratory of Digital Textile Equipment, School of Mechanical Engineering and Automation, Wuhan Textile University, Wuhan 430073, Hubei , China
  • 2School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, Hubei , China
  • 3State Key Laboratory of Intelligent Manufacturing Equipment and Technology, Wuhan 430074, Hubei , China
  • 4School of Aerospace Engineering, Huazhong University of Science and Technology, Wuhan 430074, Hubei , China
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    Figures & Tables(18)
    Spatter monitoring platform and equipment for high-power laser welding
    Schematic of variable power laser welding
    Monitoring images in high-power laser welding process under different moments
    Schematics of spatter extraction process
    Analysis of metal vapor interference distributions in continuous spatter extraction images
    Schematics of residual metal vapor interference removal process
    Position of target spatter in different monitoring images
    Reconstruction method of spatter motion trajectory
    Spatter size reduction method
    Spatter motion trajectory reconstruction image and spatter count acquisition image
    Position changes of target spatters in continuous spatter extraction images
    Numbers of spatters in sampling intervals under different laser powers
    Reconstructed images of spatter trajectories and scanned image of weld plate. (a) Reconstructed images; (b) scanned image
    • Table 1. Size of each spatter in spatter recognition image

      View table

      Table 1. Size of each spatter in spatter recognition image

      Spatter No.12345678
      Size /pixel21201439108834464526516
      Spatter No.910111213141516
      Size /pixel229626826398726023380238
    • Table 2. Characteristics of target spatter

      View table

      Table 2. Characteristics of target spatter

      Image No.No.12467No.12776
      Size /pixel2633742
      Center coordinate(360.6 pixel,347.39 pixel)(453.76 pixel,180.18 pixel)
    • Table 3. Sizes and velocity features of target spatters in continuous spatter extraction images

      View table

      Table 3. Sizes and velocity features of target spatters in continuous spatter extraction images

      Image No.25842634268427342784283428842934298430343084
      Size /pixel2754797841834839821841945926980764
      Δvx /(pixel/ms)5.935.355.445.055.644.985.695.365.305.46
      Δvy /(pixel/ms)-4.40-3.91-2.58-2.25-1.74-0.78-0.180.991.462.02
    • Table 4. Sizes and velocity features of No.2 spatter in continuous spatter extraction images

      View table

      Table 4. Sizes and velocity features of No.2 spatter in continuous spatter extraction images

      Image No.248425342584263426842734278428342884
      Size /pixel26597067628509229058871076861
      Δvx /(pixel/ms)-2.45-2.48-2.41-2.39-2.29-2.51-2.47-2.42
      Δvy /(pixel/ms)1.872.313.414.255.156.046.957.64
    • Table 5. Sizes and velocity features of No.3 spatter in continuous spatter extraction images

      View table

      Table 5. Sizes and velocity features of No.3 spatter in continuous spatter extraction images

      Image No.2684278428342884293429843034308431343184
      Size /pixel2329325317310264240305330345349
      Δvx /(pixel/ms)3.923.914.203.833.984.133.733.933.87
      Δvy /(pixel/ms)-7.47-6.55-5.67-5.08-4.27-3.62-2.74-2.13-1.38
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    Wang Cai, Ping Jiang, Leshi Shu, Shaoning Geng, Qi Zhou, Longchao Cao. Machine Vision‑Based Spatter Monitoring Method and Spatter Characterization for High Power Laser Welding Process[J]. Chinese Journal of Lasers, 2023, 50(24): 2402106

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    Paper Information

    Category: Laser Forming Manufacturing

    Received: May. 26, 2023

    Accepted: Jul. 24, 2023

    Published Online: Nov. 27, 2023

    The Author Email: Cao Longchao (longchao2017@gmail.com)

    DOI:10.3788/CJL230864

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