An automatic evaluation method for engine blade profile and twist angle based on three-dimensional point cloud

By introducing the stacked shaft reference and local registration technology, the problem of coupling between profile and twist angle evaluation results was solved, realizing independent quantification and accurate evaluation of blade parameters, and supporting process optimization and rework decisions.

CN122367959APending Publication Date: 2026-07-10LANGFANG NORTH TIANYU ELECTROMECHANICAL TECH
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Patent Information

Application Number
CN202610485764.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-04-14
Publication Date
2026-07-10

AI Technical Summary

Technical Problem

The existing blade point cloud evaluation methods lack a unified evaluation benchmark, which leads to the evaluation results of the two key parameters, profile and twist angle, being coupled with each other, making it difficult to accurately distinguish the source of deviation and affecting blade quality judgment and process optimization.

Method used

An accumulation axis formed by connecting the centroids of each section is introduced as a unified evaluation benchmark. Measurement sections are planned along the accumulation axis direction, and the rotation amount is obtained through local registration. A torsional deviation curve is established, and the three-dimensional point cloud data is subjected to reverse rotation transformation to separate the evaluation of contour deviation and torsional deviation.

Benefits of technology

It achieves separate evaluation of profile deviation and twist angle deviation, ensuring that the evaluation results are accurate and reliable, truly reflecting the actual processing status of the blades, and supporting subsequent process optimization and rework decisions.

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Abstract

This application provides an automatic evaluation method for engine blade profile and torsion angle based on 3D point cloud, comprising: acquiring 3D point cloud data and a theoretical design model of the blade to be evaluated, the theoretical design model including an accumulation axis; planning multiple measurement sections on the theoretical design model along the accumulation axis direction, and extracting the section point cloud at each measurement section position from the 3D point cloud data; performing local registration of each section point cloud with the theoretical section profile of the corresponding measurement section to obtain the rotation amount of each section in its plane; establishing a torsion deviation curve based on the rotation amount of all sections, and performing a reverse rotation transformation on each point of the 3D point cloud data according to the torsion deviation curve; comparing the corrected 3D point cloud data with the theoretical design model to obtain the profile deviation; and simultaneously obtaining the torsion angle deviation according to the torsion deviation curve. The evaluation method provided by this application solves the problem of the coupling between profile and torsion angle, realizing the separate evaluation of the two parameters, and the results are accurate and reliable.
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