基于定位特征点的叶片锥束CT点云模型配准方法

Registration Technology of Dense Point Cloud of Turbine Blade Based on Positioning Feature Point

针对实际生产过程中锥束CT检测空心涡轮叶片的点云数据与计算机辅助设计模型的配准问题,提出了一种基于定位特征点的叶片锥束CT点云模型配准方法。首先将点云数据与计算机辅助设计模型进行预配准;然后查找空心涡轮叶片的设计定位特征点坐标;最后根据定位基准点寻找点云数据上与之对应的基准点,并建立各自坐标系,根据坐标系进行几何变换,迭代直至满足要求,从而完成精确配准。试验结果表明,该方法很好地实现了锥束CT点云模型的配准定位,满足了实际生产要求。

According to the registration problem of the cone beam CT detection point cloud data and computer aided design model of hollow turbine blade, a registration method of feature points based on the location of the blade cone beam CT point cloud model is proposed. First the point cloud data and computer aided design model is pre-registrated, and then hollow turbine blade design positioning characteristic points need to find, finally, the corresponding datum points of point cloud data are found according to the design positioning characteristic points, their coordinate systems are established, geometric transformation is made according to the coordinate systems, iterative until the maximum error meets the requirements, the accurate registration is completed. The experimental results show that this method realizes the cone beam CT point cloud model registration positioning well, can meet the actual requirements of the production.