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Parameterized model reconstruction method based on point cloud

A parametric, point cloud data technology, applied in electrical digital data processing, special data processing applications, instruments, etc., can solve problems such as dents, wear, distortion, etc., to achieve strong adaptability and improve accuracy.

Active Publication Date: 2019-11-12
WUHAN INSTITUTE OF TECHNOLOGY
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Its long-term service in a high-temperature, high-pressure environment will produce a certain degree of damage, such as distortion, wear, dents, etc., so that it no longer meets the use requirements

Method used

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  • Parameterized model reconstruction method based on point cloud
  • Parameterized model reconstruction method based on point cloud
  • Parameterized model reconstruction method based on point cloud

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Embodiment Construction

[0048] In order to make the purpose, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings, taking the reconstruction of the turbine blade model of an aeroengine as an example.

[0049] like figure 1 As shown, taking the turbine blade to be measured as an example, the embodiment of the present invention is based on a point cloud parametric model reconstruction method for Gaussian mixture model registration, including the following steps:

[0050] S1: Turbine blade airfoil measurement. Select a series of parallel surfaces to intercept the blade body, obtain the measurement surface profile line, and discretize the obtained profile line to obtain the measurement point cloud;

[0051] S2: Turbine blade shape line feature matching. The measurement point cloud obtained in step S1 and the point cloud obtained directly in the theoretical model are registered an...

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Abstract

The invention discloses a parameterized blade part defect model reconstruction method based on point cloud. The method comprises the following steps: S1, measuring a blade body of a to-be-repaired blade part; s2, blade part molded line feature matching: performing registration calculation on the measurement point cloud data and the blade theoretical model point cloud data to obtain torsional deformation of a blade damage area, and performing registration transformation with a blade theoretical model to enable spatial positions of an actual to-be-repaired blade model and the theoretical model under a workpiece coordinate system to be consistent; and S3, extracting a blade part damage part model: acquiring section measurement data of an undamaged area of the blade, performing curve fitting on the measurement data, performing linear interpolation on a fitted curve towards the damage area direction of the model, and extracting a damage area model of the blade. According to the blade defectmodel reconstruction method provided by the invention, distortion and deformation of the blade model can be reproduced into the reconstructed blade model, and defect and wear parts are predicted andsubjected to high-precision modeling.

Description

technical field [0001] The invention belongs to the field of computer graphics, and more specifically relates to a point cloud parameterized model reconstruction method. Background technique [0002] In recent years, reverse engineering has become a hot spot in CAD / CAM research. Reverse engineering refers to generating drawings based on the actual parts, and then producing products according to the drawings. The obtained data reconstructs the CAD model of the physical object through the method of three-dimensional geometric modeling, so as to realize the process of product remanufacturing. [0003] Point cloud registration is a key technology in reverse engineering. It refers to two sets of point cloud data with overlapping areas, such as point cloud data obtained by scanning the same entity from different angles, through one or a series of appropriate coordinate transformations, The corresponding points in the two sets of point cloud data are aligned and merged in a unifie...

Claims

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Application Information

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IPC IPC(8): G06F17/50
CPCY02T90/00
Inventor 李振瀚张子龙颜昌亚黄昆涛刘磊何姗姗
Owner WUHAN INSTITUTE OF TECHNOLOGY
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