APPLIED LASER, Volume. 45, Issue 1, 175(2025)

On-Line Monitoring Method of Laser Delamination Paint Removal Cleanliness Based on Machine Vision

Zhang Sai1, Yang Wenfeng1、*, Lin Dehui1, Cao Yu2, Hu Yue1, Zhang Ran3, and Li Shaolong1
Author Affiliations
  • 1Civil Aircraft Composites Maintenance Research Center, Civil Aviation Flight University of China, Guanghan 618307, Sichuan, China
  • 2College of Mechanical and Electrical Engineering, Wenzhou University, Wenzhou 325035, Zhejiang, China
  • 3The Second Research Institute of Civil Aviation Administration of China, Chengdu 610000, Sichuan, China
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    References(4)

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    [7] [7] SUN B, XU C, HE J, et al. Cleanliness prediction of rusty iron in laser cleaning using convolutional neural networks[J]. Applied Physics A, 2020, 126(3): 179.

    [17] [17] LIAO Q H, WEI C, LI Y, et al. Developing a machine vision system equipped with UV light to predict fish freshness based on fish-surface color[J]. Food and Nutrition Sciences, 2021, 12(3): 239-248.

    [18] [18] LIN C S, PAN Y C, KUO Y X, et al. A study of automatic judgment of food color and cooking conditions with artificial intelligence technology[J]. Processes, 2021, 9(7): 1128.

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    Zhang Sai, Yang Wenfeng, Lin Dehui, Cao Yu, Hu Yue, Zhang Ran, Li Shaolong. On-Line Monitoring Method of Laser Delamination Paint Removal Cleanliness Based on Machine Vision[J]. APPLIED LASER, 2025, 45(1): 175

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    Paper Information

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    Received: Dec. 23, 2022

    Accepted: Apr. 17, 2025

    Published Online: Apr. 17, 2025

    The Author Email: Yang Wenfeng (ywfcyy@163.com)

    DOI:10.14128/j.cnki.al.20254501.175

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