Study on inner hole testing of nozzle with small size and complex contour

Liang Zhang; Jun-hong Su; Li-hong Yang; Jun-qi Xu

doi:10.1117/12.865535

12 October 2010 Study on inner hole testing of nozzle with small size and complex contour

Liang Zhang, Jun-hong Su, Li-hong Yang, Jun-qi Xu

Proceedings Volume 7656, 5th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment; 76564N (2010) https://doi.org/10.1117/12.865535
Event: 5th International Symposium on Advanced Optical Manufacturing and Testing Technologies, 2010, Dalian, China

Abstract

Testing of small size and complex contour of Nozzle, an important component affecting the engine performance, is very difficult, particularly for the inner hole. Due to difficulty in holding, it is easy to scrap the surface of the inner hole by the traditional contact-type detection methods. In this paper testing method of the hole is researched in details with image stitching technology. In the testing, a serial of focused images in different depths of inner hole of nozzle are collected by CCD camera, and compared by image focusing evaluation function, thus depth information in various locations of the inner hole images is obtained. A full depth image, the panorama of the inner hole, is rebuilt by multi-focus image fusion algorithm, for the image pixels corresponding to the focus altitudes are segmented. To achieve 3D reconstruction of the inner hole, the depth information by linear interpolation is fitted to restore a precise inner hole depth information. The results show that the inner hole of nozzle can be tested precisely with high precision which can meet the design requirements, and the entire contour can be reconstructed by the testing method.

Citation Download Citation

Liang Zhang, Jun-hong Su, Li-hong Yang, and Jun-qi Xu "Study on inner hole testing of nozzle with small size and complex contour", Proc. SPIE 7656, 5th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, 76564N (12 October 2010); https://doi.org/10.1117/12.865535

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KEYWORDS

Image fusion

CCD cameras

Reconstruction algorithms

Testing and analysis

3D modeling

3D image reconstruction

Image storage

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