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Blade edge head section molded line self-adaptive segmentation method based on curvature change

A technology of curvature change and leaf edge, which is applied in image analysis, image data processing, instruments, etc., can solve difficult problems and achieve the effect of narrowing the search range

Active Publication Date: 2020-04-14
XI AN JIAOTONG UNIV +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

In order to solve the size deviation of the edge head, it is necessary to separate the edge head from the leaf pot and the leaf back in the profile measurement data. Due to the complexity of the blade profile line, it is difficult to accurately analyze the above elements. Difficulties

Method used

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  • Blade edge head section molded line self-adaptive segmentation method based on curvature change
  • Blade edge head section molded line self-adaptive segmentation method based on curvature change
  • Blade edge head section molded line self-adaptive segmentation method based on curvature change

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Embodiment Construction

[0042] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0043] Judging the processing quality according to the actual characteristic parameters of the blade profile and the error of the profile is a common method for the inspection of the finished blade. This requires accurate and rapid acquisition of complete profile data to ensure that the subsequent error analysis results are valid and reliable. Discretized sampling of the blade profile can be achieved by using optical scanning measurement, but limited by the sampling density, it is difficult to ensure accurate acquisition of the profile data at the specified section of the blade (blade shape). The usual method is to take a certain height range near the blade section The point cloud is projected to obtain the point cloud data of the blade surface, and then the accurate blade data is extracted. At the same time, due to the influence of various measurement...

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Abstract

The invention discloses a blade edge head section molded line self-adaptive segmentation method based on curvature change, and the method combines the shape characteristics of a blade profile, and isdivided into two parts: determination of an initial edge head range and accurate segmentation based on curvature change. According to the invention, the search range is reduced through preliminary positioning, the robustness of the algorithm is improved on the basis of reducing the search data volume, the characteristics of the blade profile are combined, the edge head is accurately segmented through the change of the curvature radius, and the problems are solved that when the blade basin and blade back molded lines are free curves and the segmentation points (tangent points) of the blade basin and the blade back molded lines are calculated, the blade is influenced by various error factors during processing, manufacturing and detection, the sampling rate during measurement is limited, andthe obtained blade profile measurement data deviates from a theoretical model, so that the edge head is more difficult to accurately segment, and the like.

Description

technical field [0001] The invention belongs to the field of precision measurement, and in particular relates to a method for adaptively segmenting blade edge section profiles based on curvature changes. Background technique [0002] Blades are a core component of aero-engines, accounting for about 30% of the entire engine manufacturing. The blade is a thin-walled part, and it works in harsh working conditions such as high load and complex force. In order to ensure its special performance, the airfoil profile is usually designed as a free-form surface, which has strict requirements on size and shape accuracy and strict surface integrity, and requires high manufacturing precision. The overall size span of the blade is large and the shape is complex, and processing such as casting or milling is easy to cause deformation. The quality of the blade has a great influence on the secondary flow loss of the engine, which directly determines its energy conversion efficiency. Theref...

Claims

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Application Information

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IPC IPC(8): G06T7/11G06T7/12G06T7/62
CPCG06T7/11G06T7/12G06T7/62G06T2207/20004G06T2207/30108
Inventor 丁建军刘阳鹏马玉山常占东刘海波徐乐王旭李保锁蒋庄德蔡磊
Owner XI AN JIAOTONG UNIV
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