Material Engineering and Mechanical Manufacturing

3D Measurement and Quality Evaluation for Complex Aircraft Assemblies

  • LIU Shenglan ,
  • LUO Zhiguang ,
  • TAN Gaoshan ,
  • YE Nan ,
  • ZHANG Liyan
Expand
  • 1. College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;
    2. Department of Manufacturing Engineering, Shenyang Aircraft Corporation, Shenyang 110850, China;
    3. School of Mathematics and Physics, Anhui University of Technology, Ma’anshan 243002, China

Received date: 2012-03-14

  Revised date: 2012-06-27

  Online published: 2012-07-17

Supported by

National Natural Science Foundation of China (50875130, 50875126) *Corresponding author. Tel.: 025-84892004 E-mail: zhangly@nuaa.edu.cn

Abstract

The 3D measurement and evaluation of aircraft assemblies can provide critical data in the manufacturing process for quality enhancement. It is a complicated task to measure a complex aircraft structure during manufacturing with the requirements of no auxiliary equipment for the measurement, no influence on the assembly process, and numerous other restrictions at the site. Difficulties in the task include measure the object in various ways, realize data alignment with low accumulation error, and get data from obstructed areas. In this paper, we propose an integrated metrology approach which combines photogrammetry, structure light scanning and optical tracking measurement with a handheld probe. The data from the three types of optical measurement is unified into one coordinate system by using some designated reference points. In order to achieve high accuracy in aligning the measurement data with the CAD model, the principles for choosing the registration points are proposed based on the theory of sensitivity analysis. To demonstrate the validity of our method, an aircraft fore fuselage is measured, and the data registration using our proposed principles is performed, which shows that our method is valid and it produces accurate results for the in-process quality evaluation of complex aircraft assemblies.

Cite this article

LIU Shenglan , LUO Zhiguang , TAN Gaoshan , YE Nan , ZHANG Liyan . 3D Measurement and Quality Evaluation for Complex Aircraft Assemblies[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2013 , 34(2) : 409 -418 . DOI: 10.7527/S1000-6893.2013.0047

References

[1] Estler W T, Edmundson K L, Peggs G N, et al. Large-scale metrology—an update. Annals of the CIRP, 2002, 51(2):587-609.
[2] Peggs G N, Maropoulos P G, Hughes E B, et al. Recent developments in large-scale dimensional metrology. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 2009, 223 (6):571-595.
[3] Maropoulos P G, Guo Y, Jamshidi J, et al. Large volume metrology process models: a framework for integrating measurement with assembly planning. CIRP Annals-Manufacturing Technology, 2008, 57 (1): 477-480.
[4] Yu Y, Tao J, Fan Y Q. Assembly technology and process of Boeing 787 jet. Aeronautical Manufacturing Technology, 2009(14): 44-47. (in Chinese) 于勇, 陶剑, 范玉青. 波音787飞机装配技术及其装配过程. 航空制造技术, 2009(14): 44-47.
[5] Jamshidi J, Kayani A, Iravani1 P, et al. Manufacturing and assembly automation by integrated metrology systems for aircraft wing fabrication. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 2009, 224 (1): 25-36.
[6] Zheng J D, Zhang L Y, Zhou L, et al. 3D target location with one single hand-held CCD camera. Acta Aeronautica et Astronautica Sinica, 2007, 28(6):1521-1526. (in Chinese) 郑建冬, 张丽艳, 周玲, 等. 基于单数码相机自由拍摄的空间点定位. 航空学报, 2007, 28(6): 1521-1526.
[7] Zheng J D, Zhang L Y, Du X Y. Accurate 3D target positioning in close range photogrammetry with implicit image correction. Chinese Journal of Aeronautics, 2009, 22(6):649-657.
[8] Valkenburg R J, McIvor A M. Accurate 3D measurement using a structured light system. Image and Vision Computing, 1998, 16(2): 99-110.
[9] Zhang H, Zhang L Y, Wang H T, et al. Surface measurement based on instantaneous random illumination. Chinese Journal of Aeronautics, 2009, 22(3):316-324.
[10] Zhang Y Y, Zhang LY, Yang B W. Portable coordinate measurement system based on binocular stereo vision. Chinese Journal of Scientific Instrument, 2010, 31(7): 1613-1619. (in Chinese) 张元元, 张丽艳, 杨博文. 基于双目立体视觉的无线柔性坐标测量系统. 仪器仪表学报, 2010, 31(7): 1613-1619.
[11] Rusinkiewicz S,Levoy M. Efficient variants of the ICP algorithm. Proceedings of the Third International Conference on 3D Digital Imaging and Modeling,2001: 145-152.
[12] Menq C H, Yau H T, Lai G Y. Automated precision measurement of surface profile in CAD-directed inspection. IEEE Transactions on Robotics and Automation, 1992, 8(2): 268-278.
[13] Simon D A. Fast and accurate shape-based registration. Pittsburgh: Carnegie Mellon University, 1996.
[14] Cheng Y Y, Zhang D H, Bu K, et al. Model registration control point set selection for turbine blade shape inspection. Chinese Journal of Mechanical Engineering, 2009, 45(11): 240-246.(in Chinese) 程云勇, 张定华,卜昆, 等. 涡轮叶片形状检测中的模型配准控制点集选取. 机械工程学报,2009, 45(11): 240-246.
[15] Besl P,McKay N. A method for registration of 3-D shapes. IEEE Transactions on PAMI, 1992, 14(2):239-256.
[16] Nahvi A,Hollerbach J. The noise amplification index for optimal pose selection in robot calibration. Proceedings of IEEE International Conference on Robotics and Automation, 1996: 647-654.
Outlines

/