研究目的
Investigating the effects of laser cleaning technology on removing polyacrylic resin paint from aircraft skin (LY12 aluminum alloy plate) and exploring the mechanisms involved in the process.
研究成果
The study concludes that laser cleaning technology is effective for removing polyacrylic resin paint from aircraft skin, with the quality and efficiency of cleaning being influenced by process parameters such as scanning speed, pulse frequency, scanning line interval, and laser power. Three main mechanisms were identified: combustion reaction, thermal stress vibration effect, and plasma shock effect. The findings provide a useful reference for the application of laser cleaning technology in paint stripping processes.
研究不足
The study focuses on a specific type of paint (polyacrylic resin) and substrate (LY12 aluminum alloy), which may limit the generalizability of the findings to other materials. The experimental conditions and parameters may not cover all possible scenarios encountered in practical applications.
1：Experimental Design and Method Selection
A high repetition frequency fiber laser of 1064 nm was used to remove the 50-μm-thick polyacrylic resin primer paint layer on an aircraft skin. Experiments varied process parameters such as scanning speed, pulse frequency, scanning line interval, and laser power.
2：Sample Selection and Data Sources
Samples had a substrate made from LY12 aluminum alloy with dimensions of 15 mm × 15 mm × 3 mm. The paint layer was yellow TB06-9 polyacrylic resin paint layer with a thickness of about 50 μm.
3：List of Experimental Equipment and Materials
Fiber pulsed laser, scanning galvanometer, control card, OLYMPUS LEXT-QLS4000 three-dimensional profilometer, SIGMA300 field emission scanning electron microscopy.
4：Experimental Procedures and Operational Workflow
The laser beam spot focused on the sample and moved systematically by moving the x-axis and y-axis of the vibration mirrors. The laser beam spot was a series of discontinuous circular spots distributed at a given frequency.
5：Data Analysis Methods
The surface morphology feature of the cleaned surface was characterized by the OLYMPUS LEXT-QLS4000 three-dimensional profilometer. The depth of the removed paint layer was measured, and the surface morphology of the particles collected during the cleaning process was observed using the SIGMA300 field emission scanning electron microscopy.
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