Skip to main content
Log in

A method for measuring the thermal geometric parameters of large hot rectangular forgings based on projection feature lines

  • Original Paper
  • Published:
Machine Vision and Applications Aims and scope Submit manuscript

Abstract

The online dimensional measurement of large hot forging is an important procedure in the forging process. Because of different production demands, the final geometrical shapes of large forgings are usually different (e.g. cylindrical columns, rectangular prisms). Forgings of different geometric shapes need to be measured along different dimensions. For rectangular forgings, the lengths primarily need to be measured. A generalized measurement system for different geometric shapes of forgings cannot provide the accuracy of measurement systems targeted at measuring a known shape. Based on the characteristics of the rectangular forgings, a thermal dimensional measurement system is proposed in this paper. The localization, rapid extraction of feature points and method for measuring the dimensions of rectangular forgings are presented. The proposed methods can easily and efficiently extract the feature points of the forging. The experiment results show that the method proposed in this paper has the advantages of high precision and high efficiency, which is appropriate for online measurement.

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

Access this article

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

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16
Fig. 17

Similar content being viewed by others

References

  1. Liang, J.T., Zhao, S.D., Zhao, J.W.: A novel dimension measurement system of hot large open die forgings. In: Advanced Materials Research. 2011 Trans Tech Publ

  2. Du, Z., Du, Y.: Simple three-dimensional laser radar measuring method and model reconstruction for hot heavy forgings. Opt. Eng. 51(2) (2012)

  3. Du, Z., Wu, Z., Yang, J.: 3D measuring and segmentation method for hot heavy forging. Measurement 85, 43–53 (2016)

    Article  Google Scholar 

  4. Jia, Z., et al.: An improved image acquiring method for machine vision measurement of hot formed parts. J. Mater. Process. Technol. 210(2), 267–271 (2010)

    Article  Google Scholar 

  5. Rech, R., et al.: Laser measurements on large open die forgings. Stahl Eisen 126(2), 53–57 (2006)

    Google Scholar 

  6. Okamoto, A., Wasa, Y., Kagawa, Y.: Development of shape measurement system for hot large forgings. Res. Dev. Kobe 57(3), 29 (2007)

    Google Scholar 

  7. Maatta, K.E., Kostamovaara, J.T., Myllylae, R.A.: Measurement of hot surfaces by pulsed time-of-flight laser radar techniques. In: The Hague’90. International Society for Optics and Photonics, 12–16 April (1990)

  8. Fu, X.-B., Liu, B., Zhang, Y.-C.: An optical non-contact measurement method for hot-state size of cylindrical shell forging. Measurement 45(6), 1343–1349 (2012)

    Article  Google Scholar 

  9. Bokhabrine, Y., et al.: 3D characterization of hot metallic shells during industrial forging. Mach. Vis. Appl. 23(3), 417–425 (2012)

    Article  Google Scholar 

  10. Dworkin, S.B., Nye, T.J.: Image processing for machine vision measurement of hot formed parts. J. Mater. Process. Technol. 174(1–3), 1–6 (2006)

    Article  Google Scholar 

  11. Huang, H., Gutchess, D., Chang, T.: Imaging based in-line surface defect inspection for bar rolling. In: Proceeding of Conference Association for Iron & Steel Technology (AISTECH) (2004)

  12. He, J., et al.: Measure dimension of rotating large hot steel shell using pulse laser on PRRR robot. Measurement 45(7), 1814–1823 (2012)

    Article  Google Scholar 

  13. Zhang, Y.-C., et al.: An online measurement method based on line laser scanning for large forgings. Int. J. Adv. Manuf. Technol. 70(1–4), 439–448 (2014)

    Article  Google Scholar 

  14. Wang, J., Qiu, Z., Li, J.: Experimental research on dimensional measurement of hot parts based on CCD. In: Photonics Asia 2007. International Society for Optics and Photonics (2007)

  15. Zhang, Y.-C., et al.: Measurement and control technology of the size for large hot forgings. Measurement 49, 52–59 (2014)

    Article  Google Scholar 

  16. Liu, W., et al.: An improved online dimensional measurement method of large hot cylindrical forging. Measurement 45(8), 2041–2051 (2012)

    Article  Google Scholar 

  17. Hartley, R., Zisserman, A.: Multiple View Geometry in Computer Vision. Cambridge University Press, Cambridge (2000)

    MATH  Google Scholar 

  18. Sun, J.-H., et al.: Field calibration of stereo vision sensor with large FOV. Opt. Precis. Eng. 3, 032 (2009)

    Google Scholar 

  19. Ravindra, B., Mallik, A.: Performance of non-linear vibration isolators under harmonic excitation. J. Sound Vib. 170(3), 325–337 (1994)

    Article  MATH  Google Scholar 

  20. Zhang, Z.Y.: A flexible new technique for camera calibration. IEEE Trans. Pattern Anal. Mach. Intell. 22(11), 1330–1334 (2000)

    Article  Google Scholar 

  21. Steger, C.: An unbiased detector of curvilinear structures. IEEE Trans. Pattern Anal. Mach. Intell. 20(2), 113–125 (1998)

    Article  Google Scholar 

  22. Kun, H., Fuqiang, Z., Guangjun, Z.: Fast extrication method for sub-pixel center of structured light stripe. Chin. J. Sci. Instrum. 27(10), 1326 (2006)

    Google Scholar 

  23. Zhang, Z., et al.: A robust technique for matching two uncalibrated images through the recovery of the unknown epipolar geometry. Artif. Intell. 78(1), 87–119 (1995)

    Article  Google Scholar 

  24. Zhang, Z.Y.: Determining the epipolar geometry and its uncertainty: A review. Int. J. Comput. Vision 27(2), 161–195 (1998)

    Article  Google Scholar 

Download references

Acknowledgements

This paper is supported by the Special Funds of the National Natural Science Foundation of China (Grant No. 51227004), the National Natural Science Foundation of China (Grant No. 51375075), the National Basic Research Program of China 973 Project (Grant No. 2014CB046504) and the Science Fund for Creative Research Groups (Grant No. 51321004).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Wei Liu.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Yang, J., Liu, W., Zhang, R. et al. A method for measuring the thermal geometric parameters of large hot rectangular forgings based on projection feature lines. Machine Vision and Applications 29, 467–476 (2018). https://doi.org/10.1007/s00138-017-0900-0

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00138-017-0900-0

Keywords

Navigation