Education, Science, Technology, Innovation and Life
Open Access
Sign In

Research on Multi-view 3D Measurement Technology of Blade Based on Linear Structured Light

Download as PDF

DOI: 10.23977/ieim.2024.070107 | Downloads: 16 | Views: 339

Author(s)

Zhang Haotian 1, Huang Danping 1, Wang Yijin 1

Affiliation(s)

1 College of Mechanical Engineering, Sichuan University of Science & Engineering, Yibin, 644000, China

Corresponding Author

Huang Danping

ABSTRACT

For the precise three-dimensional measurement of the leaf contour of space engine blades, conventional measurement means cannot take into account the accuracy and completeness of the measurement, this paper proposes a multi-view measurement system based on line structured light and a global optimisation method to improve the blade measurement accuracy. Firstly, the multi-view simultaneous acquisition of blade deformation profile images is completed by a multi-camera acquisition system, and the multi-view system is globally coordinate unified by using the complete global calibration of four sets of binocular subsystems. Then, a global optimisation method is proposed to perform ICP point cloud alignment on the point clouds of neighbouring views in the high overlap region, while the global calibration of cylindrical calibrators is completed for non-neighbouring views, and cylindrical fitting is performed through the geometrical features of the calibrators in order to complete the secondary optimisation. The experimental results show that the average standard deviation of the method is 0.1253 mm for the blade, which meets the actual inspection requirements.

KEYWORDS

Blade; 3D measurement; Multi-view; Line structured light; Global calibration

CITE THIS PAPER

Zhang Haotian, Huang Danping, Wang Yijin, Research on Multi-view 3D Measurement Technology of Blade Based on Linear Structured Light. Industrial Engineering and Innovation Management (2024) Vol. 7: 47-60. DOI: http://dx.doi.org/10.23977/ieim.2024.070107.

REFERENCES

[1] Yao Meiru. Research on three-dimensional visual measurement technology of aero-engine blade face shape [D]. Harbin Institute of Technology, 2019.
[2] Han Ruilu. Research on key technology of three-dimensional reconstruction and defect detection of aero-engine blade-like parts [D]. North University of Technology, 2021.
[3] Shi Xiaoqiang, Wu Baohai, Zhang Dinghua. Development status and trend of aero-engine blade processing quality inspection technology [J]. Aviation manufacturing technology, 2015(12):80-84.
[4] Boyce M P.Gas turbine engineering handbook [M].Oxford: Butterworth-Heinemann.2011.
[5] Duo Li, Bo Wang, Zhen Tong, Liam Blunt, Xiangqian Jiang. On-machine surface measurementand applications for ultra-precision machining: a state-of-the-art review [J]. International Journal of Advanced Manufacturing Technology, 2019, 104: 831-847.
[6] Li Xuezhe, Shi Zhaoyao, Chen Hongfang, et al. Research status and trend of aero-engine blade profile measurement technology [J]. Journal of Beijing Institute of Technology, 2017, 43(4):557-565
[7] Huang Z, Li K, Zhao L, et al. Current status and development trend of optical measurement technology for aero-engine blade profile D]. Aviation manufacturing technology, 2018, 61(22):28-35.
[8] Cai Jingyi. Research on multi-view 3D reconstruction technology based on coded structured light [D]. Nanjing University of Information Engineering, 2021.
[9] Ge Qingru. Research on three-dimensional measurement technology of high-speed railway body-in-white based on multimetric vision line structured light [D]. Huazhong University of Science and Technology, 2020.
[10] Wei Xiaoxin. Research on multi-view 3D reconstruction and stitching method based on line structured light [D]. Tianjin University of Technology, 2021.
[11] Xu Pei. Research on multi-view automatic stitching algorithm of structured light 3D scanning system [D]. Guilin University of Electronic Science and Technology, 2019.
[12] Chen M, Tang Y, Zou X, et al. High-accuracy multi-camera reconstruction enhanced by adaptive point cloud correction algorithm [J]. Optics and Lasers in Engineering, 2019, 122:170-183.
[13] Huang L, Da F, Gai S. Research on multi-camera calibration and point cloud correction method based on three-dimensional calibration object [J]. Optics and Lasers in Engineering, 2019, 115:32-41.
[14] W. Sun, H. Yuan, N. Liu, R. Liu, and S. Shu. A fast alignment algorithm for line laser point cloud fusing contour features [J]. Journal of Electronic Measurement and Instrumentation, 2021, 35(07):156-162.
[15] Zhang Z. A flexible new technique for camera calibration [J]. IEEE Transactions on pattern analysis and machine intelligence, 2000, 22. 

Downloads: 14588
Visits: 320379

All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.