Digital analysis and prediction of the topography after pulsed laser paint stripping. (February 2021)

• Record Type: Journal Article
• Authors: Yang, Jianian; Zhou, Jianzhong; Sun, Qi; Meng, Xiankai; Guo, Zhaoheng; Zhu, Ming
• Is Part Of: Journal of manufacturing processes. Volume 62(2021)
• Page Start: 685
• Page End: 694
• Publication Date: 2021-02
• Subjects: Laser paint stripping -- Process parameters -- Geometric modeling -- Topography prediction; Production management -- Data processing -- Periodicals; Manufacturing processes -- Periodicals; Procestechnologie; Productietechniek; Production -- Gestion -- Informatique -- Périodiques; Fabrication -- Périodiques; Manufacturing processes; Production management -- Data processing; Periodicals; 670.5
• DOI: 10.1016/j.jmapro.2020.12.069
• Languages: English
• ISSNs: 1526-6125

Abstract

Graphical abstract: Highlights: Pulsed laser paint stripping through the ablation mechanism was modelled. Both the material removal and continuous pulse interaction were considered. The model can generate the surface topography after laser paint stripping. Average prediction error of simulated profile is below 10 %. Abstract: In this study, a finite element model was established by using ANSYS to analyze the surface topography following the stripping of epoxy resin paint from the type 304 stainless steel. The nanosecond pulse laser was used to carry out the stripping process, while the "Birth & Death" method was used to simulate the resulting surface topography. The authors aimed to study the influences of various process parameters on the paint stripping process, including the laser fluence, scanning speed, and scanning interval. Furthermore, the surface topography following the plane scanning laser paint stripping was predicted, and the results obtained by using numerical simulations were verified experimentally. The results have shown that the cleaning threshold of single-pulse laser paint stripping is approximately 6.1 J/cm 2 . The ablation depth is inversely proportional to scanning speed and positively correlated with the laser energy density. The process was optimized by using a series of simulations. The optimal plane scanning results were obtained for the 58 μm ablation depth, the removal efficiency of ca. 11.55 cm 3 /min/kW at the laser fluence of 50 J/cm 2, the scanning speed of 5000 mm/s, and the 70 μm scanning interval. Following the comparison with the experimental results, the digital topography analysis model was proposed, providing a reference for controlling the laser paint stripping process within an average error below 10 %.