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Design of a Wooden Five-Bar Mechanism

  • Lila KaciEmail author
  • Sébastien Briot
  • Clément Boudaud
  • Philippe Martinet
Conference paper
Part of the CISM International Centre for Mechanical Sciences book series (CISM, volume 584)

Abstract

Eco-design of robots is a field of research which has been rarely explored in the past. In order to considerably decrease the environmental impact of robot during the design phase, metal or carbon composite parts can be replaced by bio-sourced materials, such as wood. Indeed, wood has interesting mechanical properties, but its performance/dimensions will vary with the atmospheric conditions/external solicitations and with the conditions in which trees have grown. This paper deals with the design of a stiff and accurate wooden five-bar mechanism. First, a control-based design problem is formulated. This problem aims at finding the optimal parameters of the robot, taking into account the nature of the desired control (sensor-based control). Then, reliable topology optimization methodology is proposed, taking into account the variability of the wood performance and that will allow the definition of robot architectures (shape of the links) for which the impact of this variability in terms of deformation is minimal. Finally, the optimal design variables are given and are used for the realisation of industrial prototype of a wooden five-bar mechanism.

Notes

Acknowledgement

This work was supported by the project RobEcolo funded by the French Région Pays de la Loire (Convention No. 2015-10773).

The authors would like to thank Pauline Lafoux and Victoria Safyannikova for their work on the CAD design of the RobEcolo prototype.

References

  1. 1.
  2. 2.
    Thakur, V.K.: Green Composites from Natural Resources. CRC Press, Boca Raton (2013)CrossRefGoogle Scholar
  3. 3.
    Kretschmann, D.E.: Mechanical properties of wood, chap. 5. In: Forest Products Laboratory, United States Department of Agriculture Forest Service, Madison, Wisconsin. Wood Handbook (2010)Google Scholar
  4. 4.
    Fleming, P., Smith, S., Ramage, M.H.: Measuring-up in timber: a critical perspective on mid-and high-rise timber building design. Archit. Res. Q. 8, 30–40 (2014)Google Scholar
  5. 5.
  6. 6.
    Sharp, C.M., Bowyer, J.F.: Mosquito. Crecy Publishing, Manchester (1995)Google Scholar
  7. 7.
    Quigley, M., Asbeck, A., Ng, A.: A low-cost compliant 7-DOF robotic manipulator. In: Proceedings of the 2011 IEEE International Conference on Robotics and Automation (ICRA 2011)Google Scholar
  8. 8.
    Laurent, T., Kergueme, J.L, Arnould, O., Dureisseix, D.: Vers un robot en bois: Première partie. Technologie 2010, vol. 168 (2006). (in French)Google Scholar
  9. 9.
    Andreff, N., Dallej, T., Martinet, P.: Image-based visual servoing of Gough-Stewart parallel manipulators using legs observation. Int. J. Robot. Res. 26, 677–687 (2007)CrossRefGoogle Scholar
  10. 10.
    Briot, S., Martinet, P., Rosenzveig, V.: The hidden robot: an efficient concept contributing to the analysis of the controllability of parallel robots in advanced visual servoing techniques. IEEE Trans. Robot. 31, 1337–1352 (2015)CrossRefGoogle Scholar
  11. 11.
    Kaci, L., Briot, S., Boudaud, C., Martinet, P.: The hidden robot: control-based design of a five-bar mechanism. In: Proceedings of the 6th European Conference on Mechanism Science (EuCoMeS 2016)Google Scholar
  12. 12.
    Merlet, J.P.: Parallel Robots. Springer, Netherlands (2010)zbMATHGoogle Scholar
  13. 13.
    Briot, S., Glazunov, V., Arakelian, V.: Investigation on the effort transmission in planar parallel manipulators. ASME J. Mech. Robot. 5(1), 011011 (2013)CrossRefGoogle Scholar
  14. 14.
    Hill, C.A.S.: Wood Modification: Chemical Thermal and Other Processes. Wiley, Hoboken (2006)CrossRefGoogle Scholar
  15. 15.
    Bendsoe, M.P., Sigmund, O.: Material interpolation schemes in topology optimization. Arch. Appl. Mech. 69, 635–654 (1999)CrossRefGoogle Scholar
  16. 16.
    Shabana, A.: Dynamics of Multibody Systems. Cambridge University Press, Cambridge (2005)CrossRefGoogle Scholar
  17. 17.
    Bendsoe, M.P., Sigmund, O.: Robusttopology optimization of structures with uncertainties in stiffness application to truss structures. Comput. Struct. 89, 1131–1141 (2011)CrossRefGoogle Scholar
  18. 18.
    Briot, S., Goldsztejn, A. : Global topology optimization of industrial robots with the linearization method. In: Mechanism and Machine Theory (2017)Google Scholar

Copyright information

© CISM International Centre for Mechanical Sciences 2019

Authors and Affiliations

  • Lila Kaci
    • 1
    • 2
    Email author
  • Sébastien Briot
    • 1
    • 3
  • Clément Boudaud
    • 4
  • Philippe Martinet
    • 2
    • 5
  1. 1.Laboratoire des Sciences du Numérique de Nantes (LS2N), UMR CNRS 6004NantesFrance
  2. 2.École Centrale de NantesNantesFrance
  3. 3.Centre National de la Recherche Scientifique (CNRS)ParisFrance
  4. 4.LIMBHAGroupe École Supérieure du BoisNantesFrance
  5. 5.Centre de Recherche INRIA Sophia AntipolisValbonneFrance

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