Scanning line point cloud based skin boundary feature reconstruction method

Abstract

A scanning line point cloud based skin boundary feature reconstruction method is characterized by including: extracting feature points from each scanning line, and adopting the feature points for construction of straight lines or B spline curves to reconstruct boundary features, wherein extraction of the feature points includes steps of neighborhood search, measurement point position recognition and linear fitting and intersection; in neighborhood search, ordering the points along the scanning lines, using the B spline curves for interpolation of an ordered point set, recognizing points on surfaces and chamfer points through curvatures, using points on the surfaces and lateral sides to fit the straight lines respectively, and taking intersection points of the straight lines as feature points; finally fitting the feature points into straight lines or B spline curves for expressing skin boundary features. By the scanning line point cloud based skin boundary feature reconstruction method, numerical control machining precision and application degree can be improved, and airplane skin assembly efficiency and assembly quality are improved accordingly.

Description

technical field [0001] The invention relates to an aircraft manufacturing technology, in particular to an aircraft skin manufacturing method, in particular to a skin boundary feature reconstruction method based on scan line point clouds. Background technique [0002] At present, in the field of aircraft manufacturing, the boundaries of aircraft skins need to be manually repaired during assembly, so as to ensure that the fit gap between the skins is within the allowable error range, and the skins are not interchangeable. The reasons for this phenomenon are as follows: First, the skin is formed by stretching, and the boundary cutting is based on the cutting sample. First, the margin is used for rough cutting, and then the margin is used to refine the skin boundary; Precise and efficient edge trimming of leather, aircraft manufacturers have adopted CNC edge trimming process, that is, clean edge manufacturing process, but the current common practice of this process is to process...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to solve the problem that the assembly quality is affected and the reconstruction efficiency is not high due to the lack of actual boundary data of the skin and the inability to realize full-edge and clean-edge processing during skin assembly, and to invent a skin based on scan line point cloud The boundary feature reconstruction method provides a basis for realizing automatic and efficient clean edge processing

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