激光与光电子学进展, 2019, 56 (1): 011501, 网络出版: 2019-08-01   

基于散斑视觉测量的叶片模型重构 下载: 1057次

Blades Model Reconstruction Based on Speckle Vision Measurement
作者单位
中国民航大学航空工程学院, 天津 300300
摘要
叶片是航空发动机的重要部件,由于工作环境恶劣,容易出现损坏。对损坏的叶片进行修复是比较经济的做法,模型重构是航空发动机叶片修复的关键技术之一。为此提出了一种基于散斑视觉测量的叶片模型重构方法。采用散斑视觉系统采集叶片曲面散斑点;通过散斑点立体匹配得到局部点云数据;通过点云拼接得出叶片整体点云;根据叶片点云曲率提取边界点,通过三次B样条曲线对叶片点云边界点进行拟合,得出叶片包络曲线;利用包络曲线和点云重建叶片模型;进行了实验验证,证明了方法的可行性。
Abstract
The blade is an important part of aero engine. It is easy to be damaged due to the bad working environment. It is economical to repair the damaged blade, and the model reconstruction is one of the key technologies of aero-engine blade repair. A blade model reconstruction method based on speckle vision measurement is proposed. The speckle vision system is used to collect the speckle on blade surface, and the local point cloud data are obtained by speckle stereo matching. Then, the entire point cloud of the blade is obtained through the point cloud splicing, at the same time, the boundary points are extracted according to the curvature of the blade point cloud, and the boundary points of the blade point cloud are fitted by the cubic B-spline curve to obtain the envelope curve of the blade. The envelope curve and point cloud are used to reconstruct the blade model. Finally, the experimental verification of the method is given, and the feasibility of the method is proved.

王涛, 李战, 王盛, 乔伟林, 吴军. 基于散斑视觉测量的叶片模型重构[J]. 激光与光电子学进展, 2019, 56(1): 011501. Tao Wang, Zhan Li, Sheng Wang, Weilin Qiao, Jun Wu. Blades Model Reconstruction Based on Speckle Vision Measurement[J]. Laser & Optoelectronics Progress, 2019, 56(1): 011501.

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