• Laser & Optoelectronics Progress
  • Vol. 58, Issue 8, 0814001 (2021)
Xiao Zhang, Mingdi Wang*, Jincong Liu, Yuji Ni, Minchao Guo, and Xianbao Wang
Author Affiliations
  • School of Mechanical and Electric Engineering, Soochow University, Suzhou, Jiangsu 215137, China
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    DOI: 10.3788/LOP202158.0814001 Cite this Article Set citation alerts
    Xiao Zhang, Mingdi Wang, Jincong Liu, Yuji Ni, Minchao Guo, Xianbao Wang. Laser Intelligent Rust Removal Based on Machine Vision[J]. Laser & Optoelectronics Progress, 2021, 58(8): 0814001 Copy Citation Text show less
    Laser intelligent rust removal equipment
    Fig. 1. Laser intelligent rust removal equipment
    Structural diagram of laser intelligent rust removal equipment
    Fig. 2. Structural diagram of laser intelligent rust removal equipment
    Logic diagram of control system
    Fig. 3. Logic diagram of control system
    Logic diagram of control system. (a) Original rust pattern; (b) image after extracting corresponding color area
    Fig. 4. Logic diagram of control system. (a) Original rust pattern; (b) image after extracting corresponding color area
    Dilation and corrosion of image
    Fig. 5. Dilation and corrosion of image
    Outline filling
    Fig. 6. Outline filling
    Diagram of two-dimensional galvanometer
    Fig. 7. Diagram of two-dimensional galvanometer
    Microscopic image of surface rust and mass fraction of main elements. (a) Microscopic image of surface rust; (b) mass fraction of main elements
    Fig. 8. Microscopic image of surface rust and mass fraction of main elements. (a) Microscopic image of surface rust; (b) mass fraction of main elements
    Surface patterns of sample to be cleaned
    Fig. 9. Surface patterns of sample to be cleaned
    Processing graph processed by cleaning software
    Fig. 10. Processing graph processed by cleaning software
    Derusted steel plates
    Fig. 11. Derusted steel plates
    Surface morphologies and mass fractions of samples after rust removal. (a) Sample 1;(b) sample 2; (c) sample 3; (d) sample 4
    Fig. 12. Surface morphologies and mass fractions of samples after rust removal. (a) Sample 1;(b) sample 2; (c) sample 3; (d) sample 4
    ConditionFeCO
    Before rust removal4917.632.6
    After rust removal934.12.8
    Table 1. Mass fraction of each element before and after rust removal%
    Xiao Zhang, Mingdi Wang, Jincong Liu, Yuji Ni, Minchao Guo, Xianbao Wang. Laser Intelligent Rust Removal Based on Machine Vision[J]. Laser & Optoelectronics Progress, 2021, 58(8): 0814001
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