一种基于三维点云信息的大曲率薄壁构件熔覆层特征识别方法

By using a method based on 3D point cloud information to collect, process, and identify the cladding layer features of repair blades, the problem of measuring and identifying the cladding layer on the surface of repair blades was solved, the accuracy of cladding layer feature identification was improved, and support was provided for the complex processing of aerospace components.

CN120953645BActive Publication Date: 2026-07-17AVIC XIAN AIRCRAFT IND GRP CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
AVIC XIAN AIRCRAFT IND GRP CO LTD
Filing Date
2025-08-12
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Repairing the cladding layer on the blade surface is characterized by its non-fixed location, complex geometry, and uneven residual height, making it difficult to accurately measure and identify its location. Furthermore, the high curvature of aero-engine blades makes it difficult to identify cladding features and blur the boundaries.

Method used

A method based on 3D point cloud information is adopted to identify the cladding layer features of the repair blade through steps such as acquisition, filtering, simplification, stitching, normal vector calculation and redirection, feature enhancement, region division and clustering.

Benefits of technology

It improves the accuracy of cladding layer feature recognition, solves the problems of difficult cladding layer feature recognition and ambiguous boundary recognition in thin-walled components with large curvature, and provides a precise basis for subsequent processing.

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Abstract

本发明公开一种基于三维点云信息的大曲率薄壁构件熔覆层特征识别方法,包括:对采集的修复叶片型面在各视角下的点云数据进行滤波和精简预处理,得到各视角下的叶片点云数据;对叶片点云数据进行多视角点云拼接,得到修复叶片型面的点云数据;计算各点位置的初始点云法向量和初始点云曲率,并对初始点云法向量进行重定向,得到方向一致的修复叶片初始点云法向量;重新计算修复叶片点云法向量,以对初始点云法向量进行特征增强,得到法向量特征增强的修复叶片型面点云数据;对各区域内的熔覆层特征进行聚类,得到各区域熔覆层的点云数据;对各区域熔覆层点云使用欧式距离聚类进行分类合并,得到拼接完整的修复叶片熔覆层点云数据。
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