Advertisement

Trajectory Planning of a PRR Redundant Serial Manipulator for Surface Finishing Operations on Plane

  • Duygu Atcı
  • Efecan AkdalEmail author
  • Fatih Cemal Can
  • Erkin Gezgin
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11659)

Abstract

Technological advances in recent history allow usage of robot manipulators in every aspects of manufacturing. Integration of robot manipulators into the machining operations not only increases the quality of the end products but also decreases the time required for their machining operations. In terms of delicacy in these operations, robotic grinding can be given as one of the most important applications of the field. Thus this study focuses on the trajectory planning problem of a PRR planar serial redundant manipulator that is proposed to be utilized for surface finishing. Throughout the study kinematic representation of PRR manipulator was given in detail and its kinematic analysis was carried out along with the direct and inverse tasks. After the kinematic equations were obtained, a desired end effector trajectory was given in order to simulate real surface finishing application on a plane. Required joint position functions were taken as polynomial functions. In the light of this, coefficients of the polynomials were solved to approximate the desired trajectory. At the end of the study comparisons between the desired and generated trajectories were plotted graphically.

Keywords

Trajectory planning Redundant DoF Robotic surface finishing Robot manipulators 

Notes

Acknowledgements

This project is currently funded by Izmir Katip Celebi University, Scientific Research Projects Coordinatorship. Project No: 2018-GAP-MÜMF-0010.

References

  1. 1.
    Nahavandi, S., et al.: Automated robotic grinding by low-powered manipulator. Robot. Comput. Integr. Manuf. 23(5), 589–598 (2007)MathSciNetCrossRefGoogle Scholar
  2. 2.
    Li, W., Xie, H., Zhang, G., Yan, S., Yin, Z.: Hand–eye calibration in visually-guided robot grinding. IEEE Trans. Cybern. 46(11), 2634–2642 (2016)CrossRefGoogle Scholar
  3. 3.
    Ren, X., Cabaravdic, M., Zhang, X., Kuhlenkötter, B.: A local process model for simulation of robotic belt grinding. Int. J. Mach. Tools Manuf. 47(6), 962–970 (2007)CrossRefGoogle Scholar
  4. 4.
    Persoons, W., Vanherck, P.: A process model for robotic cup grinding. CIRP Ann. 45(1), 319–325 (1996)CrossRefGoogle Scholar
  5. 5.
    Wang, W., Yun, C.: A path planning method for robotic belt surface grinding. Chin. J. Aeronaut. 24(4), 520–526 (2011)CrossRefGoogle Scholar
  6. 6.
    Huang, H., Gong, Z.M., Chen, X.Q., Zhou, L.: Robotic grinding and polishing for turbine-vane overhaul. J. Mater. Process. Technol. 127(2), 140–145 (2002)CrossRefGoogle Scholar
  7. 7.
    Yan, S., Xu, X., Yang, Z., Zhu, D., Ding, H.: An improved robotic abrasive belt grinding force model considering the effects of cut-in and cut-off. J. Manuf. Processes 37, 496–508 (2019)CrossRefGoogle Scholar
  8. 8.
    Wang, F.-C., Yang, D.C.H.: Nearly arc-length parameterized quintic-spline interpolation for precision machining. Comput. Aided Des. 25(5), 281–288 (1993)CrossRefGoogle Scholar
  9. 9.
    Shen, X., et al.: A smooth and undistorted toolpath interpolation method for 5-DoF parallel kinematic machines. Robot. Comput. Integr. Manuf. 57, 347–356 (2019)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Duygu Atcı
    • 1
  • Efecan Akdal
    • 2
    Email author
  • Fatih Cemal Can
    • 1
  • Erkin Gezgin
    • 1
  1. 1.Department of Mechatronics EngineeringIzmir Katip Celebi UniversityIzmirTurkey
  2. 2.Department of Mechanical EngineeringIzmir Katip Celebi UniversityIzmirTurkey

Personalised recommendations