APPLIED LASER, Volume. 42, Issue 5, 168(2022)

Research on Ship Green Cleaning Method Based on Laser Cleaning Technology

Li Sifan1、*, Wang Chunming1, and Zhang Wei2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    In response to the requirements of the working environment in various complex spaces in the cabin, laser cleaning technology is used to carry out process test research on the paint, rust and oil pollution on the surface of marine steel EH36. First, the effects of the combination of laser power, repetition frequency, and pulse width process parameters on the surface morphology are studied, and the effects of different parameters on the degree of surface peeling and roughness are revealed. At the same time, it is necessary to avoid surface cracks. A single factor test is designed to obtain the best cleaning process window for paint, rust and oil stains. Paint and oil stains can be removed by a laser scan, and rust needs to be cleaned twice. By comparing the surface element content distribution and microscopic morphology changes of the substrate before and after cleaning, results show that the elements C, N, and O related to surface contaminants after laser cleaning are greatly reduced, rust and oil stains can be completely removed, and the paint layer exists A small amount of small flakes remain. Finally, the mechanical properties of the cleaned substrate were tested, and it was found that the hardness of the surface layer was improved. The rust removal sample increased by about 20 HV, the oil removal sample increased by about 3 HV, and the paint removal sample increased by about 13 HV. The tensile and bending properties of the material have no obvious influence. Therefore, the laser cleaning process of marine steel is reliable and non-destructive.

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    Li Sifan, Wang Chunming, Zhang Wei. Research on Ship Green Cleaning Method Based on Laser Cleaning Technology[J]. APPLIED LASER, 2022, 42(5): 168

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    Paper Information

    Received: May. 16, 2021

    Accepted: --

    Published Online: Jan. 16, 2023

    The Author Email: Li Sifan (254396080@qq.com)

    DOI:10.14128/j.cnki.al.20224205.168

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