CN109767497B - Detection method for automatically detecting surface quality of aviation blade - Google Patents
Detection method for automatically detecting surface quality of aviation blade Download PDFInfo
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- CN109767497B CN109767497B CN201811569615.0A CN201811569615A CN109767497B CN 109767497 B CN109767497 B CN 109767497B CN 201811569615 A CN201811569615 A CN 201811569615A CN 109767497 B CN109767497 B CN 109767497B
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- 238000001514 detection method Methods 0.000 title abstract description 14
- 238000012545 processing Methods 0.000 claims abstract description 4
- 238000000034 method Methods 0.000 claims description 12
- 230000007547 defect Effects 0.000 claims description 5
- 238000012876 topography Methods 0.000 claims description 4
- 238000005516 engineering process Methods 0.000 claims description 3
- 238000011156 evaluation Methods 0.000 claims description 3
- 238000005259 measurement Methods 0.000 claims description 3
- 238000007781 pre-processing Methods 0.000 claims description 3
- 238000000465 moulding Methods 0.000 claims description 2
- 238000007689 inspection Methods 0.000 claims 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000012141 concentrate Substances 0.000 description 1
- 230000002708 enhancing effect Effects 0.000 description 1
- 238000010191 image analysis Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
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Abstract
The invention provides a detection method for automatically detecting the surface quality of an aviation blade, which comprises the steps of carrying out three-dimensional data acquisition on the surface of the aviation blade, establishing a three-dimensional model, then carrying out path planning on the three-dimensional model, photographing the surface of the aviation blade through the path, transmitting picture information to an algorithm server for surface quality analysis, obtaining an analysis result, feeding back the analysis result to a user, and completing detection; the invention has the characteristics of automatic processing and reliable conclusion.
Description
Technical Field
The invention relates to a detection method for automatically detecting the surface quality of an aviation blade.
Background
For the detection of the surface quality of an aviation blade, the traditional method is that relevant personnel distinguish surface defects through naked eyes, so that the efficiency is relatively low, and meanwhile, the personnel are tired due to long-time detection, and the reduction of the detection efficiency is further aggravated.
The surface of the aviation blade is not a plane but a curved surface which accords with hydromechanics, and when the surface is detected, three-dimensional path planning is needed to be adopted to effectively detect each part of the aviation blade, and the planning of a high-efficiency three-dimensional path according to the curved surface of the aviation blade is a great difficulty.
In sum, the application scenarios are few, but the unit-related urgent needs are really needed. In addition, the method needs more complex three-dimensional path planning and an effective image recognition algorithm, and equipment for aviation blade detection is lacked in the market, so that the method makes up for the equipment requirement of aviation blade detection.
Disclosure of Invention
The invention aims to solve the defects of the prior art and provides a detection method for automatically detecting the surface quality of an aviation blade.
The technical scheme adopted by the invention is that the detection method for automatically detecting the surface quality of the aviation blade comprises a mechanical arm, an operation table and a positioner arranged on the operation table, wherein the mechanical arm is provided with a three-dimensional appearance and a high-definition camera, and the positioner is provided with an aviation blade clamp, and specifically comprises the following steps:
(1) Obtaining blade three-dimensional data
The positioner drives the aviation blade to rotate around the length direction of the aviation blade, and the mechanical arm drives the three-dimensional shape instrument to measure the aviation blade, so as to obtain three-dimensional data point cloud of the aviation blade and datamation of a physical model;
(2) Reconstructing three-dimensional models
Carrying out triangular gridding division on the three-dimensional data point cloud obtained by measurement, preprocessing the obtained data to obtain point cloud data, finishing the shaping of a curved sheet by using a shaping software tool, then editing a curved surface to obtain a complete curved surface model of the blade, and finally obtaining a three-dimensional CAD model of the aviation blade by using a curved surface reconstruction technology;
(3) Three-dimensional route planning
Carrying out triangular gridding on a three-dimensional CAD model of the aviation blade on a computer to generate a plurality of triangular plane pieces; performing single-channel processing on each triangular plane slice, then establishing evaluation function of scanning path according to different paths on each triangular plane slice, selecting optimal path mode, and determining the optimal path mode as the scanning path
(4) Surface image acquisition
The positioner drives the aviation blade to rotate around the length direction of the aviation blade, and the mechanical arm drives the high-definition camera to photograph the surface of the aviation blade according to the established scanning path and transmit the pictures to the algorithm server;
(5) Algorithm server identification
And the algorithm server identifies the scanned picture, marks the surface defect and feeds back a use result to a user.
Preferably, the same type of aerial blade may use the same scan path.
Preferably, the scan path generation employs a probabilistic routing algorithm.
Preferably, the algorithm server picture recognition algorithm is a local feature point method.
Preferably, the three-dimensional topography instrument is NanoMap-500LS.
Preferably, the high definition camera is WAT-2200WATEC.
Has the beneficial effects that:
1. reasonable three-dimensional path planning algorithm is adopted, and reasonable and non-missing scanning on the surface of the aviation blade is realized through mutual matching of the positioner and the mechanical arm.
2. And analyzing the blade surface information acquired by the image acquisition device by adopting a reasonable image analysis algorithm to obtain a reliable conclusion.
3. Can increase substantially the detection efficiency of aviation blade, can concentrate the photo of its any position simultaneously and preserve, the later stage of being convenient for is checked it.
Drawings
FIG. 1 is a schematic view of the structure of the present invention
1. A mechanical arm; 2. a three-dimensional topography instrument; 3. a high-definition camera; 4. an aviation blade; 5. a positioner; 6. an operation platform.
Detailed Description
For the purpose of enhancing the understanding of the present invention, the present invention will be further described in detail with reference to the following examples and the accompanying drawings, which are only used for explaining the present invention and are not to be construed as limiting the scope of the present invention.
As shown in fig. 1, a detection method for automatically detecting the surface quality of an aviation blade includes a mechanical arm 1, an operation table 6, and a positioner 5 arranged on the operation table, wherein the mechanical arm 1 is provided with a three-dimensional topography instrument 2 and a high-definition camera 3, and the positioner 5 is provided with an aviation blade clamp, and specifically includes the following steps:
(1) Obtaining blade three-dimensional data
The positioner 5 drives the aviation blade 4 to rotate around the length direction of the aviation blade 4, and the mechanical arm 1 drives the three-dimensional shape instrument 2 to measure the aviation blade, so as to obtain three-dimensional data point cloud of the aviation blade 4 and datamation of a physical model;
(2) Reconstructing three-dimensional models
Carrying out triangular gridding division on the three-dimensional data point cloud obtained by measurement, preprocessing the obtained data to obtain point cloud data, finishing surface sheet molding by using a molding software tool, then editing a curved surface to obtain a complete curved surface model of the blade, and finally obtaining a three-dimensional CAD model of the aviation blade by using a curved surface reconstruction technology;
(3) Three-dimensional route planning
Carrying out triangular gridding on the three-dimensional CAD model of the aviation blade 4 on a computer to generate a plurality of triangular plane pieces; performing single-channel processing on each triangular plane sheet, then establishing evaluation function of scanning path according to different paths on each triangular plane sheet, selecting optimal path mode, and determining as scanning path
(4) Surface image acquisition
The positioner 5 drives the aviation blade 4 to rotate around the length direction of the aviation blade 4, and the mechanical arm 1 drives the high-definition camera 3 to photograph the surface of the aviation blade 4 according to the established scanning path and transmit the pictures to the algorithm server;
(5) Algorithm server identification
And the algorithm server identifies the scanned picture, marks the surface defect and feeds back a use result to a user.
Wherein the same type of aerial blade may use the same scan path.
Wherein, the scanning path generation adopts a probabilistic route algorithm.
The algorithm server picture recognition algorithm is a local feature point method.
Wherein the three-dimensional appearance 2 is NanoMap-500LS.
Wherein, the high-definition camera 3 is WAT-2200WATEC.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (6)
1. The method for automatically detecting the surface quality of the aviation blade is characterized by comprising a mechanical arm, an operating platform and a positioner arranged on the operating platform, wherein the mechanical arm is provided with a three-dimensional appearance and a high-definition camera, and the positioner is provided with an aviation blade clamp, and specifically comprises the following steps:
(1) Obtaining blade three-dimensional data
The positioner drives the aviation blade to rotate around the length direction of the aviation blade, and the mechanical arm drives the three-dimensional shape instrument to measure the aviation blade, so as to obtain three-dimensional data point cloud of the aviation blade and datamation of a physical model;
(2) Reconstructing three-dimensional models
Performing triangular mesh division on the three-dimensional data point cloud obtained by measurement, preprocessing the obtained data to obtain point cloud data, finishing surface sheet molding by using a molding software tool, then obtaining a complete blade surface model by surface editing, and finally obtaining a three-dimensional CAD model of the aviation blade by using a surface reconstruction technology;
(3) Three-dimensional route planning
Carrying out triangular gridding on the three-dimensional CAD model of the aviation blade on a computer to generate a plurality of triangular plane pieces; performing single-channel processing on each triangular plane piece, then establishing an evaluation function of a scanning path according to different paths on each triangular plane piece, selecting an optimal path mode, and determining the optimal path mode as the scanning path;
(4) Surface image acquisition
The positioner drives the aviation blade to rotate around the length direction of the aviation blade, and the mechanical arm drives the high-definition camera to photograph the surface of the aviation blade according to the established scanning path and transmit the pictures to the algorithm server;
(5) Algorithm server identification
And the algorithm server identifies the scanned picture, marks the surface defects and feeds back a final result to a user.
2. The inspection method of automatically inspecting the surface quality of an aerospace blade of claim 1 wherein the same scan path is used for aviation blades of the same type.
3. The method as claimed in claim 1, wherein the scanning path generation employs a probabilistic routing algorithm.
4. The method as claimed in claim 1, wherein the algorithm server picture recognition algorithm is a local feature point method.
5. The method for automatically detecting the surface quality of the aviation blade as claimed in claim 1, wherein the three-dimensional topography instrument is NanoMap-500LS.
6. The method as claimed in claim 1, wherein the high-definition camera is WAT-2200WATEC.
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| CN201811569615.0A CN109767497B (en) | 2018-12-21 | 2018-12-21 | Detection method for automatically detecting surface quality of aviation blade |
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| CN201811569615.0A CN109767497B (en) | 2018-12-21 | 2018-12-21 | Detection method for automatically detecting surface quality of aviation blade |
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| CN109767497B true CN109767497B (en) | 2023-03-21 |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111104716B (en) * | 2019-12-09 | 2021-09-10 | 北京航空航天大学 | Automatic generation method of groove type resistance reducing structure based on thermal diffusion facing to blade |
| CN111008607B (en) * | 2019-12-11 | 2020-09-29 | 南京航空航天大学 | Automatic laser scanning method and system for cabin door gap of visual servo aircraft |
| CN111325735A (en) * | 2020-02-25 | 2020-06-23 | 杭州测质成科技有限公司 | Aero-engine insurance state detection method based on deep learning |
| CN111929339B (en) * | 2020-08-13 | 2024-03-26 | 复纳科学仪器(上海)有限公司 | Automatic scanning method and system for scanning electron microscope based on 3D point cloud |
| CN112258445B (en) * | 2020-08-21 | 2022-08-02 | 西北工业大学 | A Viewpoint Solution Method for False and Missing Installation of Aero-engine |
| CN112902868A (en) * | 2021-01-20 | 2021-06-04 | 上海云铸三维科技有限公司 | Method and device for scanning surface topography along with contour |
| CN115375659A (en) * | 2022-08-24 | 2022-11-22 | 南京耘瞳科技有限公司 | Engine casting surface data acquisition path planning method based on model driving |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104515478A (en) * | 2014-12-11 | 2015-04-15 | 华中科技大学 | Automatic three-dimensional measuring method and automatic three-dimensional measuring system for high-precision blade of aviation engine |
| CN105242637A (en) * | 2015-10-27 | 2016-01-13 | 华中科技大学 | Aviation thin-wall blade compensation processing method |
| CN107478205A (en) * | 2017-09-01 | 2017-12-15 | 西北工业大学 | Aero-engine high accuracy assembly quality detector device people's system |
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Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104515478A (en) * | 2014-12-11 | 2015-04-15 | 华中科技大学 | Automatic three-dimensional measuring method and automatic three-dimensional measuring system for high-precision blade of aviation engine |
| CN105242637A (en) * | 2015-10-27 | 2016-01-13 | 华中科技大学 | Aviation thin-wall blade compensation processing method |
| CN107478205A (en) * | 2017-09-01 | 2017-12-15 | 西北工业大学 | Aero-engine high accuracy assembly quality detector device people's system |
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