Blade pitch line extraction method for large-scale rotary equipment based on simplex optimization method
By combining the simplex optimization method with PCA, MLS and RANSAC algorithms, the nodal lines of the tenons of aero-engines are automatically extracted, which solves the problem that the extraction of nodal lines of the tenons in the existing technology relies on manual experience, and realizes high-precision evaluation of tenon parameters and improvement of assembly accuracy.
CN120852353BActive Publication Date: 2026-06-23HARBIN INST OF TECH
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- HARBIN INST OF TECH
- Filing Date
- 2025-07-15
- Publication Date
- 2026-06-23
AI Technical Summary
Technical Problem
In existing technologies, the extraction of tenon joint lines in aero-engines relies on manual experience or two-dimensional drawing analysis, lacking high-precision automated evaluation methods, which affects digital assembly and performance prediction.
Method used
Using the simplex optimization method, combined with PCA, moving least squares (MLS) and RANSAC algorithms, tenon joint lines are automatically extracted through point cloud processing and geometric feature analysis.
Benefits of technology
It achieves high-precision automated extraction of tenon joint lines, providing a basis for subsequent tenon parameter evaluation and improving the accuracy of assembly precision and fatigue life assessment.
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Figure CN120852353B_ABST
Abstract
The application proposes a large-scale rotary equipment blade pitch line extraction method based on simplex optimization method.The method comprises the following steps: step one, adopting PCA algorithm to extract the section of tenon in the blade coordinate system as the reference;step two, adopting a joint filtering method based on geometric features and statistical characteristics for filtering in the point cloud processing flow of the tenon of the aero-engine blade, and adopting a moving least square method (MLS) for geometric smoothing processing of the two-dimensional point cloud after filtering;step three, tenon working surface determination and pitch line extraction.The method realizes high-precision automatic extraction of the tenon pitch line, and provides a basis for subsequent evaluation of tenon parameters.
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