Skip to main content
Log in

3D printing robot: model optimization and image compensation

  • Regular Papers
  • Published:
Journal of Control Theory and Applications Aims and scope Submit manuscript

Abstract

A novel 7-axis robot for industrial large 3D printing applications is presented in this paper, which is developed by Institute of Robotics and Automatic Information System, Nankai University. Base on the prototype, the mechanism on three-dimensional printing is deeply dissected. By investigating the reason of color distortions in 3D printing, a novel multistep compensation algorithm based on model optimization and image compensation is developed. Finally, the experimental results show the performance of the 3D printing robot platform and the proposed algorithms.

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.

Similar content being viewed by others

References

  1. J. P. Gazeau, Z. Said, G. Ramirez-Torres. A novel 5-axis robot for printing high resolution pictures from media on 3D wide surfaces. Proceedings of the 2009 IEEE International Conference on Industrial Technology, Gippsland: IEEE, 2009: 1–6.

    Chapter  Google Scholar 

  2. K. G. Cooper. Rapid Prototyping Technology: Selection and Application. London: Taylor & Francis, 2001.

    Book  Google Scholar 

  3. Three Dimensional Printing Laboratory. http://web.mit.edu/tdp/www/ .

  4. Z. Corporation. http://www.zcorp.com/ .

  5. J. S. Kim, D. S. Kim, M. C. Lee. 3D printing method of multi Piezo head using a photopolymer resin. International Conference on Control, Automation and Systems, Seoul: IEEE, 2007: 2587–2590.

    Google Scholar 

  6. M. Stanic, B. Lozo. Color and permanence issues in 3D ink-jet printing. The 33rd International Convention MIPRO 2010. Opatija, Croatia, 2010: 274–277.

  7. X. Chen, J. Liu, L. Sun. Ink drop and color distortion modeling in three deimensional printing. World Congress on Intelligent Control and Automation, Jinan: IEEE, 2010: 335–340.

    Chapter  Google Scholar 

  8. X. Niu, J. Liu, L. Sun. Multi-resolution analysis of grid point clouds based on wavelet transform. The 27th Chinese Control Conference, Kunming: IEEE, 2008: 341–346.

    Google Scholar 

  9. X. Niu, J. Liu, L. Sun. Robot 3D sculpturing based on extracted NURBS. International Conference on Robotics and Biomimetics, Sanya: IEEE, 2007: 1936–1941.

    Google Scholar 

  10. J. Liu, X. Chen, L. Sun, et al. Three dimensional halftoning algorithm based on surfacefeatures. High Technology Letters, 2011, 21(5): 215–221.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jingtai Liu.

Additional information

This work was supported by the National High Technology Research and Development Program 863 (No. 2009AA04Z222), and the Tianjin Nature Science Foundation (No. 09JCZDJC23700).

Xinwei CHEN is a Ph.D. candidate in Institute of Robotics and Automatic Information System, Nankai University. His research interest covers intelligent robotic technology.

Jingtai LIU is a professor of Institute of Robotics and Automatic Information System, Nankai University. His research interests cover robotic technology, computer applications, automatic information system, intelligence science and technology.

Tao SHI is a M.S. candidate student in Institute of Robotics and Automatic Information System, Nankai University. His research interests cover intelligent robotic technology.

Haili QIAN is a Ph.D. candidate in Institute of Robotics and Automatic Information System, Nankai University. His research interest covers intelligent robotic technology.

Kuo CHEN is a B.S. candidate of the Department of Automation and Intelligence Science, Nankai University. His research interests cover intelligence science and technology.

Qing WEI is a undergraduate student of the Department of Automation and Intelligence Science, Nankai University. His research interest covers intelligence science and technology.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Chen, X., Liu, J., Shi, T. et al. 3D printing robot: model optimization and image compensation. J. Control Theory Appl. 10, 273–279 (2012). https://doi.org/10.1007/s11768-012-1122-7

Download citation

  • Received:

  • Revised:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11768-012-1122-7

Keywords

Navigation