Aero-engine compressor blades point cloud hole repairing method

Shuyu Cai; Fengwei Hao; Lizhong Shi

doi:10.1117/12.2668041

20 April 2023 Aero-engine compressor blades point cloud hole repairing method

Shuyu Cai, Fengwei Hao, Lizhong Shi

Proceedings Volume 12602, International Conference on Electronic Information Engineering and Computer Science (EIECS 2022); 126021I (2023) https://doi.org/10.1117/12.2668041
Event: International Conference on Electronic Information Engineering and Computer Science (EIECS 2022), 2022, Changchun, China

Abstract

A new method for repairing point cloud model holes of aero-engine compressor blades is presented in this paper, which can be used to repair point cloud model holes of aero-engine compressor blades accurately. Firstly, by constructing the boundary diffusion mechanism, the generation judgment of hole repair points was defined, and the generation method of hole repair points based on boundary diffusion mechanism was designed, which unifies the diversified hole repair modes; Secondly, the implicit surface based on radial basis function was constructed, the position of repair points was corrected accurately, the repair area with uniform density was generated, and the hole repair was completed. Finally, it was verified by an example and compared with the central diffusion repair method. The results show that: By using the method in this paper, various holes in the point cloud model of aero-engine compressor blades, such as plane hole, curved face, island hole and cross-face, can be repaired evenly. It also avoids noise confusion caused by irregular hole boundary, and realizes better fitting between hole repair point and curved surface, thus providing accurate data support for aero-engine compressor blade damage detection.

Citation Download Citation

Shuyu Cai, Fengwei Hao, and Lizhong Shi "Aero-engine compressor blades point cloud hole repairing method", Proc. SPIE 12602, International Conference on Electronic Information Engineering and Computer Science (EIECS 2022), 126021I (20 April 2023); https://doi.org/10.1117/12.2668041

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