Laser & Optoelectronics Progress, Volume. 60, Issue 15, 1514004(2023)

Controllability of Laser Removal of Aircraft Skin Paint Layer Based on Response Surface Analysis

Wenfeng Yang1、*, Dehui Lin1, Mian Zhong1, Shaolong Li1, Ziran Qian1, Guochun Liu1, Yu Cao2, Yi Xu1, Sai Zhang1, and Guo Li1
Author Affiliations
  • 1Civil Aircraft Composites Maintenance Research Center, Civil Aviation Flight University of China, Guanghan618307, Sichuan, China
  • 2Laser and Optoelectronic Intelligent Manufacturing Research Institute, Wenzhou University, Wenzhou 325035, Zhejiang, China
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    Maintenance of aircraft skin with partially faded paint requires multipaint layer laser removal controllability. Based on the response surface analysis method, a mathematical model between laser parameters (spot lap rate, laser power, and number of scans) and the key indicators of controllable paint layer removal (paint layer removal thickness and surface roughness) is established, and the influence of laser multiparameter coupling on key indicators is analyzed. The results show that the influence of laser parameters on paint layer removal thickness is in the order of number of scans,laser power, and spot lap rate, wherein all are positively correlated. Meanwhile, surface roughness decreases with an increase in spot lap rate, increases with an increase in laser power, and has a peak effect with number of scans. Therefore, the response surface model provides a reference for laser controllable paint removal with the thickness accuracy of ±5 μm, providing method guidance and theoretical support for laser controllable aircraft skin paint layer removal.

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    Wenfeng Yang, Dehui Lin, Mian Zhong, Shaolong Li, Ziran Qian, Guochun Liu, Yu Cao, Yi Xu, Sai Zhang, Guo Li. Controllability of Laser Removal of Aircraft Skin Paint Layer Based on Response Surface Analysis[J]. Laser & Optoelectronics Progress, 2023, 60(15): 1514004

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    Paper Information

    Category: Lasers and Laser Optics

    Received: May. 22, 2022

    Accepted: Jul. 7, 2022

    Published Online: Aug. 18, 2023

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

    DOI:10.3788/LOP221882

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