Abstract:
To meet the needs of high-precision and highefficiency measurement of large-scale aerospace components, a new measurement and registration technology with large-field-of-...Show MoreMetadata
Abstract:
To meet the needs of high-precision and highefficiency measurement of large-scale aerospace components, a new measurement and registration technology with large-field-of-view is proposed in this paper, which is used to measure large-scale and weak-textured complex components. The robotic arm drives a small-field-of-view, high-spatial-resolution binocular fringe projection local measurement system, which acquires highprecision point cloud data based on the principle of heterodyne multi-frequency phase shift and high dynamic measurement. Based on the registration method of phase matching and global marker points, the local sensors are tracked and located by the global sensors with large-field-of-view and low-spatial-resolution. The laser tracker and the global sensor are used to jointly calibrate the global marker points on the surface of the turntable to realize the registration of all areas of large components. An automatic measurement method of the geometric dimensions of components by processing the point cloud to extract geometric feature and a virtual assembly and assembly quality evaluation method based on the point cloud data of components to optimize the assembly sequence and recognize the assembly interference of components are proposed in this paper.
Date of Conference: 18-20 July 2024
Date Added to IEEE Xplore: 25 September 2024
ISBN Information:
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- IEEE Keywords
- Index Terms
- Measurement System ,
- Basic Components ,
- Robotic Arm ,
- Vision Measurement System ,
- Measurement Methods ,
- Component Of Complex ,
- Phase Shift ,
- Point Cloud ,
- Sequence Assembly ,
- Geometric Features ,
- Sensor Locations ,
- Assembly Quality ,
- Measurement Of Components ,
- Registration Method ,
- Point Cloud Data ,
- Phase Matching ,
- Marked Points ,
- Automatic Measurement ,
- Area Of Components ,
- High-precision Measurements ,
- Iterative Closest Point Algorithm ,
- Corresponding Points ,
- Point Cloud Registration ,
- Field Of View ,
- Point Cloud Model ,
- Multi-view Data ,
- Straightness ,
- Coordinate System ,
- Iterative Closest Point ,
- 3D Point Cloud
- Author Keywords
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Measurement System ,
- Basic Components ,
- Robotic Arm ,
- Vision Measurement System ,
- Measurement Methods ,
- Component Of Complex ,
- Phase Shift ,
- Point Cloud ,
- Sequence Assembly ,
- Geometric Features ,
- Sensor Locations ,
- Assembly Quality ,
- Measurement Of Components ,
- Registration Method ,
- Point Cloud Data ,
- Phase Matching ,
- Marked Points ,
- Automatic Measurement ,
- Area Of Components ,
- High-precision Measurements ,
- Iterative Closest Point Algorithm ,
- Corresponding Points ,
- Point Cloud Registration ,
- Field Of View ,
- Point Cloud Model ,
- Multi-view Data ,
- Straightness ,
- Coordinate System ,
- Iterative Closest Point ,
- 3D Point Cloud
- Author Keywords