Laser & Optoelectronics Progress, Volume. 58, Issue 8, 0814001(2021)

Laser Intelligent Rust Removal Based on Machine Vision

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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    Figures & Tables(13)
    Laser intelligent rust removal equipment
    Structural diagram of laser intelligent rust removal equipment
    Logic diagram of control system
    Logic diagram of control system. (a) Original rust pattern; (b) image after extracting corresponding color area
    Dilation and corrosion of image
    Outline filling
    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
    Surface patterns of sample to be cleaned
    Processing graph processed by cleaning software
    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
    • Table 1. Mass fraction of each element before and after rust removal%

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      Table 1. Mass fraction of each element before and after rust removal%

      ConditionFeCO
      Before rust removal4917.632.6
      After rust removal934.12.8
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    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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    Paper Information

    Category: Lasers and Laser Optics

    Received: Jul. 22, 2020

    Accepted: Sep. 23, 2020

    Published Online: Apr. 16, 2021

    The Author Email: Wang Mingdi (wangmingdi@suda.edu.cn)

    DOI:10.3788/LOP202158.0814001

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