Abstract
With multiple merits compared with thermal spray, cold spray technology is widely applied for various application fields. As part of an intelligent cold spray repair system, an approach for three-dimensional (3D) damage region contour extraction is proposed, which is without nominal Computer-Aided Design models and prior knowledge of damaged workpieces. Moreover, due to partially image processing based, the computation load of the proposed method is lower caused by partially avoiding the 3D point cloud processing. According to the results, it is capable to handle the uneven, sparse and unorganized point cloud to precisely extract 3D contour of damage region. The effectiveness of the proposed approach is highlight. Furthermore, the proposed methods on 3D cloud point to grayscale conversion, two-dimensional (2D) edge detection on images, 3D contour reconstruction from 2D edge are also promising for point cloud processing in other application fields.
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The authors would like to acknowledge Huaiyin Institute of Technology (China), and also the support of the French government for the DECLIC project (Procédé de Réparation par Cold Spray Innovant et Structural).
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Huang, F., Li, W., Raoelison, R.N. et al. A Three-Dimensional Damaged Region Contour Extraction Approach for Cold Spray Repair. J Therm Spray Tech 33, 858–868 (2024). https://doi.org/10.1007/s11666-024-01754-y
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DOI: https://doi.org/10.1007/s11666-024-01754-y