• DocumentCode
    1838863
  • Title

    Mechanical design of a compliant prosthesis finger by structural topology optimization

  • Author

    Nianfeng Wang ; Xianmin Zhang

  • Author_Institution
    Guangdong Province Key Lab. of Precision Equip. & Manuf. Technol., South China Univ. of Technol., Guangzhou, China
  • fYear
    2012
  • fDate
    11-14 Dec. 2012
  • Firstpage
    1650
  • Lastpage
    1655
  • Abstract
    This paper presents the problem formulation and design of compliant prosthesis finger. The finger is a path generating compliant mechanism. The automated synthesis of path generating mechanisms is by a structural topology optimization approach. The problem of topology optimization of continuum structures is solved using a multiobjective genetic algorithm coupled with a geometric representation scheme using fat Bezier curve that efficiently defines the variable structural geometry upon a finite element grid. A graph-theoretic chromosome encoding together with compatible crossover and mutation operators are then applied to form an effective evolutionary optimization procedure. One finger has been designed and are presented in this paper, and some concluding remarks and future work are put forward.
  • Keywords
    curve fitting; design engineering; dexterous manipulators; finite element analysis; genetic algorithms; graph theory; manipulator kinematics; medical robotics; prosthetics; Bezier curve; compliant prosthesis finger; continuum structure; crossover operator; dexterous robotic hands; evolutionary optimization procedure; finite element grid; geometric representation scheme; graph-theoretic chromosome encoding; kinematic analysis; kinematic design; mechanical design; multiobjective genetic algorithm; mutation operator; path generating mechanism; structural topology optimization; structural topology optimization approach; variable structural geometry;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Biomimetics (ROBIO), 2012 IEEE International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-1-4673-2125-9
  • Type

    conf

  • DOI
    10.1109/ROBIO.2012.6491204
  • Filename
    6491204