Generation Method of Turbine Blade Surface Model Based on Multi-Slice CT Data Fusion

This paper proposes a method for generating the surface model of hollow turbine blades based on the fusion of Industrial Computerized Tomography (ICT) multi-directional slice data. Through the Normal Distribution Transformation (NDT) algorithm and the Iterative Closest Points (ICP) algorithm, the registration fusion of CT multi-directional slice data is achieved, obtaining turbine blade point cloud data containing more comprehensive key structural features. The Delaunay triangulation algorithm is used for surface model generation, obtaining a detailed model of the entire inner and outer surfaces of the hollow turbine blades.