Skip to main content
Log in

Improved NC path validation and manipulation with augmented reality methods

  • Production Process
  • Published:
Production Engineering Aims and scope Submit manuscript

Abstract

Five-axis milling offers many advantages over the conventional three-axis milling process. However, because of the potentially complex motions, it is difficult for the machine tool operator to anticipate the actual movement based on the NC program. In this paper a software system for the NC path validation and manipulation during the milling process is introduced. This system is meant to expand the information given to the machine tool operator by enriching the view with data of a concurrently running milling simulation. The simulation is synchronized with the real-world machine tool movement by detecting the position of a marker that is mounted on the head stock. With this combination of real-world view and computer-generated data, which is called Augmented Reality, the machine tool operator is able to detect critical situations—like collisions between tool holder and workpiece or excessive forces—and may adjust the NC program accordingly.

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

Similar content being viewed by others

References

  1. Damm P (2003) Maschinengerechte Optimierung des fünfachsigen Fräsens von Freiformflächen. In: Weinert K (ed) Begleitband zum 3-D Erfahrungsforum Werkzeug- und Formenbau, Dortmund. Vulkan Verlag, Essen, pp 71–82

    Google Scholar 

  2. Stautner M (2006) Simulation und Optimierung der mehrachsigen Fräsbearbeitung. Vulkan Verlag, Essen

    Google Scholar 

  3. Foley JD, van Dam A, Feiner SK, Hughes JF (1995) Computer graphics, principles and practice. Addison-Wesley Professional, Reading

    Google Scholar 

  4. Milgram P, Kishino F (1994) A taxonomy of mixed reality visual displays. IEICE Trans Inf Syst E77-d:1321–1329

    Google Scholar 

  5. Milgram P, Takemura H, Utsumi A, Kishino F (1995) Augmented reality: a class of displays on the reality-virtuality continuum. In: Das H (ed) Proceedings SPIE, vol 2351. SPIE. IEEE NCC, Boston, pp 282–292

  6. Vallino J (1998) Interactive augmented reality. The University of Rochester, Rochester

    Google Scholar 

  7. Rosenthal M, State A, Lee J, Hirota G, Ackerman J, Keller K, Pisano ED, Jiroutek M, Muller K, Fuchs H (2002) Augmented reality guidance for needle biopsies: a randomized, controlled trial in phantoms. Med Image Anal 6:313–320

    Article  Google Scholar 

  8. Schwald B, Laval B (2003) An augmented reality system for training and assistance to maintenance in the industrial context. J WSCG 11:425–432

    Google Scholar 

  9. Ong SK, Yuan ML, Nee AYC (2007) Augmented reality applications in manufacturing: a survey. Int J Prod Res 46:2707–2742

    Article  Google Scholar 

  10. Reinhart G, Patron C (2003) Integrating augmented reality in the assembly domain—fundamentals, benefits and applications. CIRP Ann Manuf Technol 52:5–8

    Article  Google Scholar 

  11. Ong SK, Pang Y, Nee AYC (2007) Augmented reality aided assembly design and planning. CIRP Ann Manuf Technol 56:49–52

    Article  Google Scholar 

  12. Teramoto K, Tanaka R, Ishida T, Takeuchi Y (2005) On-site visualization of workpiece state for enhancing the recognition ability of machining operators. In: Zäh M (ed) 1st international conference on changeable, agile, reconfigurable and virtual production, Garching. Utz, München, pp 207–214

    Google Scholar 

  13. ARToolKit 2.71 (2005) http://sourceforge.net/projects/artoolkit

  14. Damm P (2006) Rechnergestützte Optimierung des 5-Achsen-Simultanfräsens von Freiformflächen. Vulkan Verlag, Essen

    Google Scholar 

Download references

Acknowledgments

This article is based on the research project ZA 427/2-1, which is kindly supported by the German Research Foundation (DFG).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Andreas Zabel.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Weinert, K., Zabel, A., Ungemach, E. et al. Improved NC path validation and manipulation with augmented reality methods. Prod. Eng. Res. Devel. 2, 371–376 (2008). https://doi.org/10.1007/s11740-008-0115-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11740-008-0115-3

Keywords

Navigation