Method of identifying honeycomb edges from honeycomb core surface measurement data

Abstract

The invention discloses a method for identifying honeycomb edges from honeycomb core surface measurement data. The method comprises the following steps: performing two-dimensional coordinate transformation on collected honeycomb core surface three-dimensional data, identifying corner points in a two-dimensional plane projection image of a honeycomb core through a corner point detection algorithm,wherein the corner points comprise a human-shaped vertex, a Y-shaped vertex, a pseudo vertex and unrecognized missing corner points; based on the proposed corner type judgment algorithm, sequentiallyidentifying two endpoints of the honeycomb edge, determining one endpoint during adjacent edge identification, and determining the other endpoint through local analysis of the identification vertex; and effectively eliminating pseudo vertexes in the implementation process of the honeycomb edge, supplementing missing vertexes, and achieving stable and high-precision honeycomb edge recognition. According to the method, the data processing problem of honeycomb core measurement is effectively solved, and the method is flexible, high in precision and good in robustness, and the measurement requirement of the honeycomb core surface after actual machining can be met.

Description

technical field [0001] The invention relates to a method for identifying honeycomb edges from honeycomb core surface measurement data. Background technique [0002] As an excellent high-strength and ultra-light structure, honeycomb core is widely used in aviation, aerospace, ships and high-speed trains and other fields. The honeycomb core is a lightweight core material with a sandwich structure. The upper and lower surfaces are processed by numerical control to form a specific curved surface, and the upper and lower layers of thin plates with opposite shapes are glued together to form a honeycomb core sandwich structure. The processing quality and processing accuracy of the curved surface of the honeycomb core determine the reliability of its bonding with the upper and lower sheets, which in turn affects the performance of the entire honeycomb sandwich structure. Therefore, before bonding after processing, the processing accuracy of the complex curved surface of the honeyco...

AI Technical Summary

Problems solved by technology

The algorithm for identifying the edge of the cell is based on the corner points identified by the corner detection algorithm, but there are two problems: (1) it does not consider the situation that the vertices are not recognized by the corner detection algorithm, which will bring about a cell composed of such vertices (2) When looking for another endpoint from one end point of a honeycomb edge, the judgment basis is mainly the length and inclination angle of the honeycomb edge set as a fixed value, but because the specific length and inclination angle of the honeycomb edge are within a certain range The inside is changing, so the basis for this judgment is not accurate enough, and the corner points near the vertex may meet the judgment condition at the same time, so the real vertex cannot be found, resulting in misjudgment

However, the identification of cellular edges is a chain process, and the identification error of a single vertex can easily affect the subsequent edge identification results, especially for surfaces with poor surface quality, which cannot obtain stable edge identification results, so it is difficult to use them in actual measurement. apply

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