Skip to main content
Log in

Vibrational motion control for foamed polystyrene machining robot and extraction of radius of curvature for fuzzy feed rate control

  • Original Article
  • Published:
Artificial Life and Robotics Aims and scope Submit manuscript

Abstract

There are two serious requirements to machining systems used in manufacturing industries. They are machining quality and efficiency. In this paper, a vibrational motion control is proposed for an endmill attached to the tip of a machining robot to suppress the occurrence of undesirable cusp marks. In addition, the calculation of radius of curvature along discrete CL data is introduced for a fuzzy feed rate controller which can regulate the tangent velocity. The radius of curvature is effective information as a fuzzy input. The effectiveness of the proposed methods is validated through experiments.

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

Similar content being viewed by others

References

  1. Kuo RJ (1998) Intelligent precision flexible manufacturing system through artificial neural networks and fuzzy modeling. In: The 1998 IEEE international joint conference on neural networks proceedings, IEEE world congress on computational intelligence, pp 90–95

  2. Zhang H, Wang J, Zhang G, Gan Z, Pan Z, Cui H, Zhu Z (2005) Machining with flexible manipulator: toward improving robotic machining performance. In: Proceedings of 2005 IEEE/ASME international conference on advanced intelligent mechatronics, pp 1127–1132

  3. Zhang H, Pan Z (2008) Robotic machining: material removal rate control with a flexible manipulator. In: Proceedings of 2008 IEEE conference on robotics, automation and mechatronics, pp 30–35

  4. Pan Z, Zhang H (2009) Improving robotic machining accuracy by real-time compensation. In: Proceedings of 2009 ICCAS-SICE, pp 4289–4294

  5. Olabi A, Bearee R, Gibaru O, Damak M (2010) Feedrate planning for machining with industrial six-axis robots. Control Eng Pract 18(5):471–482

    Article  Google Scholar 

  6. Surdilovic D, Zhao H, Schreck G, Krueger J (2012) Advanced methods for small batch robotic machining of hard materials. In: Proceedings of ROBOTIK 2012; 7th German conference on robotics, pp 1–6

  7. Chen Y, Dong F (2013) Robot machining: recent development and future research issues. Int J Adv Manuf Technol 66:1489–1497

    Article  Google Scholar 

  8. Guo Y, Dong H, Ke Y (2015) Stiffness-oriented posture optimization in robotic machining applications. Robot Comput Integr Manuf 35:69–76

    Article  Google Scholar 

  9. Nagata F, Otsuka A, Watanabe K, Habib MK (2014) Fuzzy feed rate controller for a machining robot. In: Proceedings of the 2014 IEEE international conference on mechatronics and automation, pp 198–203

  10. Nagata F, Yoshitake S, Otsuka A, Watanabe K, Habib MK (2013) Development of CAM system based on industrial robotic servo controller without using robot language. Robot Comput Integr Manuf 29(2):454–462

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Fusaomi Nagata.

Additional information

This work was presented in part at the 20th International Symposium on Artificial Life and Robotics, Beppu, Oita, January 21–23, 2015.

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Nagata, F., Habib, M.K., Otsuka, A. et al. Vibrational motion control for foamed polystyrene machining robot and extraction of radius of curvature for fuzzy feed rate control. Artif Life Robotics 20, 197–202 (2015). https://doi.org/10.1007/s10015-015-0221-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10015-015-0221-1

Keywords

Navigation