Skip to main content
SpringerLink
Log in

Noncontact 3D measurement method on hole-structure precision inspection

  • Published:
Optoelectronics Letters Aims and scope Submit manuscript

Abstract

In order to implement 3D point cloud scanning of small hole structure, which could not be contacted or damaged, we propose a noncontact 3D measuring method. The system contains a laser triangulation displacement sensor, a Michelson interferometer system and a coordinate measuring machine, with the advantages of non-invasive scanning, fast measurement speed and high precision. Focusing on reconstructing 3D point cloud data, random sample consensus is used to separate surface data and hole data respectively from the raw dataset. Least square optimization determines the function of the cylinder, as well as hole diameter and inclined angle between the hole and the surface. In the experiment scanning a round hole, the estimated result has diameter error and angle error within 30 µm and 0.2°, respectively. Results manifest the effectiveness and feasibility of this system and express practicality in manufacturing industry.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Wu Qing-yang, Zhang Bai-chun, Lin Hai-xin and Zeng Xiang-jun, Chinese Optics Letter 14, 010010 (2016).

    Article  Google Scholar 

  2. Bian Xing-yuan, Cui Jun-ning and Lu Ye-sheng, Applied Sciences 9, 242 (2019).

    Article  Google Scholar 

  3. Usman Z., Monfared R. P., Lohse N. and MR Jackson, International Journal of Metrology and Quality Engineering 7, 2 (2016).

    Article  Google Scholar 

  4. S. Marimuthu, M. Antar and J. Dunleavey, Precision Engineering 55, 339 (2019).

    Article  Google Scholar 

  5. Peiner E. and Doering L., IEEE Sensors Journal 13, 2 (2012).

    Google Scholar 

  6. Bi Chao, Fang Jian-guo, Li Kun and Guo Zhi-jun, Chinese Journal of Aeronautics 30, 4 (2017).

    Google Scholar 

  7. Gao Xin-xing, Zhao Bin and Wang Qi-wei, Review of Scientific Instruments 90, 9 (2019).

    Google Scholar 

  8. Su Zhi-qi, He Qing and Xie Zhi, Review of Scientific Instruments 87, 3 (2016).

    Google Scholar 

  9. Kao Chen-chun and Albert J. Shih, Measurement Science and Technology 18, 11 (2007).

    Article  Google Scholar 

  10. Yu Long, Bi Qing-zhen, Ji Yu-lei, Fan Yun-fei, Huang Nuo-di and Wang Yu-han, Precision Engineering 58, 35 (2019).

    Article  Google Scholar 

  11. Fischler Martin A. and Robert C. Bolles, The IEEE International Conference on Computer Vision (ICCV), 4332 (2019).

  12. Simone Donadello, Maurizio Motta, Ali Gokhan and Barbara Previtali, Optics and Laser in Engineering 112, 136 (2019).

    Article  ADS  Google Scholar 

  13. Zhang Xiao-bo, Fan Fu-min, Mehdi Gheisari and Gautam Srivastava, IEEE Access 7, 64837 (2019).

    Article  Google Scholar 

  14. Gerardo Antonio, Jose Mauricio and Renato Coral, Sensors 19, 8 (2019).

    Google Scholar 

  15. Johannes Schlarp, Ernst Csencsics and Georg Schitter, IEEE Transactions on Instrumentation and Measurement 69, 6 (2019).

    Google Scholar 

  16. Wang Kang-wei, Zhang Xin, Hao Qiu-shi, Wang Yan and Shen Yi, Neurocomputing 332, 7 (2019)

    Google Scholar 

  17. Rana Muhammad, Liang Zhong-min, Salim Heddam, Mohammad Zounemat-Kermani, Ozgur Kisi and Binquan Li, Journal of Hydrology 586, 124371 (2020).

    Article  Google Scholar 

  18. Amir Novini, Optics, Illumination, and Image Sensing for Machine Vision 728, 84 (1987).

    Article  Google Scholar 

  19. D. Sangeetha and P. Deepa, Journal of Real-Time Image Processing 16, 957 (2019).

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. State Key Laboratory of Precision Spectroscopy, East China Normal University, Shanghai, 200241, China

    Hao-tian Shi  (施皓天), Di Wu  (伍狄), Cheng-kai Pang  (庞程凯), Hai-yan Huang  (黄海燕), Xiu-liang Chen  (陈修亮) & Guang Wu  (吴光)

  2. AECC Commercial Aircraft Engine Co., Ltd., Shanghai, 200241, China

    Xuan Zhang  (张璇) & Yan Xu  (徐焱)

Authors
  1. Hao-tian Shi  (施皓天)
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Di Wu  (伍狄)
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Cheng-kai Pang  (庞程凯)
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Hai-yan Huang  (黄海燕)
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Xuan Zhang  (张璇)
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Yan Xu  (徐焱)
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Xiu-liang Chen  (陈修亮)
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Guang Wu  (吴光)
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Xiu-liang Chen  (陈修亮).

Additional information

This work has been supported by the National Natural Science Foundation of China (Nos.11774095, 11804099 and 11621404), and the Shanghai Basic Research Project (No.18JC1412200).

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Shi, Ht., Wu, D., Pang, Ck. et al. Noncontact 3D measurement method on hole-structure precision inspection. Optoelectron. Lett. 17, 231–235 (2021). https://doi.org/10.1007/s11801-021-0084-8

Download citation

  • Received:

  • Revised:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11801-021-0084-8

Document code

Search

Navigation