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In order to solve the problem of low automation of Aero-engine Turbine shaftassembly and the difficulty of non-contact high-precision measurement, astructured light binocular measurement technology for key components ofaero-engine is proposed in this paper. Combined with three-dimensional pointcloud data processing and assembly position matching algorithm, thehigh-precision measurement of shaft hole assembly posture in the process ofturbine shaft docking is realized. Firstly, the screw thread curve on the boltsurface is segmented based on PCA projection and edge point cloud clustering,and Hough transform is used to model fit the three-dimensional thread curve.Then the preprocessed two-dimensional convex hull is constructed to segment thekey hole location features, and the mounting surface and hole location obtainedby segmentation are fitted based on RANSAC method. Finally, the geometricfeature matching is used the evaluation index of turbine shaft assembly isestablished to optimize the pose. The final measurement accuracy of mountingsurface matching is less than 0.05mm, and the measurement accuracy of mountinghole matching based on minimum ance optimization is less than 0.1 degree. Themeasurement algorithm is implemented on the automatic assembly test-bed of acertain type of aero-engine low-pressure turbine rotor. In the narrowinstallation space, the assembly process of the turbine shaft assembly, such asthe automatic alignment and docking of the shaft hole, the automatic heatingand temperature measurement of the installation seam, and the automatictightening of the two guns, are realized in the narrow installation spaceGuidance, real-time inspection and assembly result evaluation.

Automatic assembly of aero engine low pressure turbine shaft based on 3D vision measurement