Skip to main content
Log in

A research on an inspection method of helix angle for helical gears using fringe projection profilometry

  • ORIGINAL ARTICLE
  • Published:
The International Journal of Advanced Manufacturing Technology Aims and scope Submit manuscript

Abstract

The gear is very important component in the means of transportation. A method for inspection of helix angle on pitch cylinder and reverse design of helical gear based on digital fringe projection profilometry, which is capable of high accuracy and high speed, is presented in this manuscript. The governing equation with 35 unknown parameters that represent the phase-to-height relationship is derived in case of arbitrary arrangement of the camera and projector in the presented work. The least-squares orthogonal distance fitting (LSODF) approach is employed for inspection and reverse design of helical gear. The appropriate mathematical equation of tooth profile of helical gear is proposed. The estimation error of helix angle on pitch cylinder is lower than 0.0166 degree.

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

Similar content being viewed by others

References

  1. Chen L, Liao C (2005) Calibration of a 3D surface profilometry using digital fringe projection. Meas Sci Technol 16(8):1554–1566

    Article  Google Scholar 

  2. Xiaoling Z, Yuchi L, Meirong Z, Xiaobing N, Yinguo H (2005) Calibration of a fringe projection profilometry system using virtual phase calibrating model planes. J. Opt A Pure Appl Opt 7(4):192–197

    Article  Google Scholar 

  3. Anchini R, Leo GD, Liguori C, Paolillo A (2009) A new calibration procedure for 3-D shape measurement system based on phase-shifting projected fringe profilometry. IEEE Trans Instrum Meas 8(5):1291–1298

    Article  Google Scholar 

  4. Du H, Wang Z (2006) Three-dimensional shape measurement with an arbitrarily arranged fringe projection profilometry system. Opt Lett 31(24):3588–3590

    Google Scholar 

  5. Wang Z, Du H (2008) Three-dimensional, real-time, and high-accuracy inline monitoring system for roll to roll manufacturing. (Technical Report)

  6. Wang Z, Nguyen DA, Barnes JC (2010) Some practical considerations in fringe projection profilometry. Opt Lasers Eng 48:218–225

    Article  Google Scholar 

  7. Vo M, Wang Z, Pan B, Pan T (2012) Hyper-accurate flexible calibration technique for fringe-projection-based three-dimensional imaging. Opt Express 20(15):16926–16941

    Article  Google Scholar 

  8. Huang L, Chua PSK, Asundi A (2010) Least-squares calibration method for fringe projection profilometry considering camera lens distortion. Appl Opt 49(9):1539–1548

    Article  Google Scholar 

  9. Feng S, Chen Q, Zuo C, Sun J, Yu SL (2014) High-speed real-time 3-D coordinates measurement based on fringe projection profilometry considering camera lens distortion. Opt Commun 329:44–56

    Article  Google Scholar 

  10. Ahn SJ, Rauh W (1999) Geometric least squares fitting of circle and ellipse. Int J Patt Recogn Artif Intell 13:987–996

    Article  Google Scholar 

  11. Ahn SJ, Rauh W, Warnecke H-J (2001) Least-squares orthogonal distances fitting of circle, sphere, ellipse, hyperbola, and parabola. Patt Artif Intell 15:905–919

    Article  MATH  Google Scholar 

  12. Ahn SJ, Rauh W et al (2002) Fitting of parametric space curves and surfaces by using the geometric error measure. Proc. 24th DAGM Symp. Pattern Recognition. Lect Notes Comput Sci 2249:548–556

  13. Gauthier S, Puech W, Bénière R, Subsol G (2017) Analysis of digitized 3D mesh curvature histograms for reverse engineering. Comput Ind 92–93:67–83

    Article  Google Scholar 

  14. Dou C, Chen Y, Li Z, Xin D, Luo W, Chen B (2022) Study on the fast measurement method of fine-pitch hourglass worm tooth surface based on industrial CT. Measurement 200(15):56–65

  15. Zhao X, Zhang C, Xu L, Yang B, Feng Z (2013) IGA-based point cloud fitting using B-spline surfaces for reverse engineering. Inf Sci 245:276–189

    Article  MathSciNet  MATH  Google Scholar 

  16. Urbas U, Hrga T, Povh J, Vukasinovic N (2021) Novel alignment method for optical 3d gear metrology of spur gear with a plain borehole. Measurement 192(3):110839

  17. Zhong K, Li Z, Zhou X, Li Y, Shi Y, Wang C (2015) Enhanced phase measurement profilometry for industrial 3D inspection automation. Int J Adv Manuf Technol 76:1563–1574

    Article  Google Scholar 

  18. Deng F, Liu C, Sze W, Deng J, Fung KSM, Lam EY (2015) An inspect measurement system for moving objects. IEEE Trans Instrum Meas 64(1):63–74

    Article  Google Scholar 

  19. Logniovsky AN, Shmarova LI (2016) 3D model of geometrically accurate helical-gear set. Int Conf Ind Eng Proc Eng 150:734–741

    Google Scholar 

  20. Litvin FL, Fuentes A (2004) Gear geometry and applied theory, 2nd edn. Cambridge University Press, Cambridge

  21. Maitra GM (2001) Handbook of gear design, 2nd edn. Tata McGraw-Hill Publishing Company Limited, New Delhi

  22. Gao CH, Cheng K, Webb D (2004) Investigation on sampling size optimization in gear tooth surface measurement using CMM. Int J Adv Manuf Technol 24(7):599–606

    Article  Google Scholar 

  23. Urbas U, Zorko D, Cerne B, Tavcar J, Vukasinovic N (2020) A methods for enhanced polymer spur gear inspection based on 3D optical metrology. Measurement 169(4):108584

  24. Guo X, Shi Z, Yu B, Zhao B, Li K, Sun Y (2022) 3D measurement of gears based on a line structured light sensor. Precis Eng 61:160–169

    Article  Google Scholar 

  25. Ahn SJ (2004) Least squares orthogonal distance fitting of curves and surfaces in space. Springer-Verlag, Berlin

  26. Wang Z, Du H et al (2009) Three-dimensional shape measurement with a fast and accurate approach. Appl Opt 48(6):1052–1061

    Article  Google Scholar 

  27. Wang S, Zhou Y, Tang J, Tang K, Li Z (2022) Digital tooth contact analysis of face gear drives with an accurate measurement model of face gear tooth surface inspected by CMMs. Mech Mach Theory 167(1–2):104498

Download references

Author information

Authors and Affiliations

Authors

Contributions

Song-Hyok Ri: Conceived the research. Drafted and write manuscript.

Hyon Ri: Performed the numerical simulation for LSODF.

Bong-Nam Hwang: Provided the intrinsic parameter modeling of helical gears.

Un-Bon Min: Performed numeric. Write manuscript.

Corresponding author

Correspondence to Song-Hyok Ri.

Ethics declarations

Conflict of interest

The authors declare no competing interests.

Additional information

Publisher's note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ri, SH., Ri, H., Hwang, BN. et al. A research on an inspection method of helix angle for helical gears using fringe projection profilometry. Int J Adv Manuf Technol 127, 4607–4618 (2023). https://doi.org/10.1007/s00170-023-11726-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-023-11726-1

Keywords

Navigation