Research on Technologies of Augmented Reality for CNC Machining Process Simulation

Abstract:

Based on Virtual Numerical Control machining system (VNC), a new method of Augmented Numerical Control machining system (ANC) which aims at the realization of NC machining process simulation in real machining environment is put forward. The System inputs continuous video images of real NC processing environment through camera to identify and locate the major machining and positioning parts of real machine in the image stream. And the virtual parts of VNC will be matched to the corresponding real ones of real machining system to achieve the registration of ANC. The NC system drives the virtual machining models for processing through a real machine. On the other hand, the actual running information of CNC machine are imported into the ANC system to drive some models of process variables such as cutting force, material removal rate, chip shape, tool temperature, cutting tool wear. ANC provides the platform to integrate the geometry and physical simulation based on actual information from real CNC machining environment.

• Periodical: Key Engineering Materials (Volumes 579-580)
• Pages: 276-282
• DOI: https://doi.org/10.4028/www.scientific.net/KEM.579-580.276
• Online since: September 2013
• Authors: Zhi Yan Ma, Guang You Yang, Xu Wu Su
• Keywords: Augmented Reality, CNC Machining, Process Simulation

References

[1] S.K. Ong, M. L. Yuan and A. Y. C. Nee: International Journal of Production Research, Vol. 46 (2008) No. 10, p.2707–2742.

[2] F. Doil, W. Schreiber, T. Alt and C. Patron: EGVE 2003, Proceedings of the Workshop on Virtual Environments, (NY, USA, 2003) pp.71-76.

DOI: 10.1145/769953.769962

[3] A. Liverani, G. Amati, and G. Caligiana: Concurrent Engineering Research and Applications, Vol. 12 (2004) No. 1, pp.67-77.

[4] W. Dangelmaier, M. Fischer, J. Gausemeier and etc: Computers in Industry, Vol. 56 (2005) No. 4, pp.371-383.

[5] J. Zhang, S.K. Ong, and A.Y.C. Nee: Computer-Aided Design, Vol. 42 (2010) , p.1167–1177.

[6] K. Weinert, A. Zabel, E. Ungemach, and S. Odendahl: Production Engineering, Vol. 2 (2008) No. 4, pp.371-376.

[7] L. Lin, K. Yang, Y.T. Wang and Y. Liu: Journal of Image and Graphics, Vol. 14(2009), No. 3, pp.560-564. (In Chinese).

[8] Y.T. Wang, W. Zhang and Y. Liu: Science & Technology Review, Vol. 24 (2006) No. 3, pp.36-40. (In Chinese).

[9] M. Sun, X.W. Chen and F.Z. Zhang: Journal of Peking University (Natural Science Edition), Vol. 40 (2004) No. 6, pp.906-913. (In Chinese).

[10] K. Chen, Y. Ge and Y.Q. Du: Bulletin of Surveying and Mapping, (2009) No. 7, pp.22-24. (In Chinese).

[11] Y. Gao, B.S. Deng and B. Yang: Journal of Chinese Computer Systems, Vol. 27 (2006) No. 1, pp.146-150. (In Chinese).

[12] X.C. Zhao, H.F. Zuo and X.M. Xu: China Mechanical Engineering, Vol. 19 (2008) No. 6, pp.678-682. (In Chinese).

[13] H.L. Yin, and L. Wang: Computer Engineering and Applications, (2006) No. 8, pp.26-28. (In Chinese).

[14] Y.B. Luo, and D.F. Chen: Journal of Wuhan Textile Science and Technology Institute, Vol. 18 (2005) No. 12, pp.23-26. (In Chinese).

[15] M.J. Qian: Manufacture Information Engineering of China, (2009) No. 10, pp.46-47. (In Chinese).

[16] Z.Y. Ma, Y.P. Chen, C.M. Yuan, and Z.D. Zhou: ICAT 2006, LNCS 4282 (2006), pp.175-184.

[17] G. Bradski, and A. Kaehler: Learning OpenCV. (O'Reilly Media, U.S.A., 2008).