Accurately reconstructing the guidance model from the three-dimensional scan data of damaged blades in service aero-engines is crucial for restoring the original geometry of the damaged blades. This paper addresses the challenges of reconstructing geometric models and repairing edge-damaged blades in operational aero-engines. It proposes a comprehensive approach that integrates profile completion with multi-constraint evaluation. Initially, the blade profile is enhanced through adaptive slicing and curve-fitting techniques. Subsequently, rigid alignment and the minimum bounding box method are employed to extract the data points corresponding to the damaged region of the nominal blade, facilitating the recovery of the surface data of the damaged blade. Furthermore, a range of constraints, including Hausdorff distance and normal vector consistency, are applied to evaluate the effectiveness of the repair on the point cloud. This process ensures that the repaired model maintains geometric similarity, normal vector consistency, and surface smoothness. The efficacy and feasibility of the repair method for restoring the geometry of damaged blades are demonstrated through the use of NURBS curves to reconstruct the geometry and conduct repair experiments.
Gao et al. (Thu,) studied this question.