基于激光点云数据的叶片型面三维重构

在四坐标叶片型面检测基础上，提出基于激光点云数据的叶片型面三维重构方法。激光位移传感器对叶片型面进行多视角扫描采样，快速采集叶片型面海量点云数据。运用由点到线到面的数学建模原理，先基于端点一阶导矢连续法拟合出光顺NURBS曲线，再依据分片能量法构建辅助曲面拟合出光顺NURBS曲面，最后对分片NURBS曲面进行统一描述，构造出精确光滑的叶片型面，实现叶片型面的三维重构。实验结果表明：采用该方法实现对各类叶片复杂型面的三维重构，重构误差均<0.015 mm,能够满足精密零件的测量需求。

3D Reconstruction of Blade Surface Based on Laser Point Cloud Data

Based on the four-coordinate blade surface detection, a 3D reconstruction method of aeroengine blade surface based on laser point cloud data is proposed. The laser displacement sensor scans and samples the blade surface from multiple perspectives, and quickly collects massive point cloud data of the blade surface. Using the mathematical modeling principle from point to line to surface, firstly fit the smooth NURBS curve based on the first-order guide vector continuity method at the end point, then construct the auxiliary plane to fit the NURBS surface according to the sliced energy method, and finally describe the sliced NURBS surface uniformly, construct an accurate and smooth blade profile, and realize the three-dimensional reconstruction of the blade profile. The experimental results show that this method can realize the three-dimensional reconstruction of various blade profiles well, and the reconstruction error is less than 0.015 mm, which can meet the measurement requirements of precision parts perfectly.