• DocumentCode
    1836853
  • Title

    An evolutionary topology optimization method for design of compliant mechanisms with two-dimensional loading

  • Author

    Chih-Hsing Liu ; Guo-Feng Huang ; Chen-Hua Chiu

  • Author_Institution
    Dept. of Mech. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
  • fYear
    2015
  • fDate
    7-11 July 2015
  • Firstpage
    1340
  • Lastpage
    1345
  • Abstract
    This study aims to develop a general topology optimization method to synthesize compliant mechanisms with any combination of two-dimensional loading based on the concept of bi-directional evolutionary structural optimization (BESO). The objective function in this study is to maximize the output displacement. The optimal design of a compliant force-displacement inverter mechanism under both one-dimensional and two-dimensional loading conditions (including symmetric and non-symmetric loading cases) are discussed as the illustrative examples. The dynamic model solved by explicit dynamic finite element analysis (FEA) is used to analyze the dynamic performance of the inverter mechanism. The results show the geometric advantage of the optimal design ranges from 2.3 to 3.2 for compression mode, and 1.3 to 2.6 for extension mode in the given displacement-input ranges.
  • Keywords
    compliant mechanisms; evolutionary computation; finite element analysis; optimisation; topology; bidirectional evolutionary structural optimization; dynamic performance; evolutionary topology optimization method; explicit dynamic finite element analysis; inverter mechanism; one-dimensional loading conditions; optimal compliant force-displacement inverter mechanism design; output displacement maximization; two-dimensional loading conditions; Finite element analysis; Inverters; Loading; Manufacturing processes; Optimization; Springs; Topology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Intelligent Mechatronics (AIM), 2015 IEEE International Conference on
  • Conference_Location
    Busan
  • Type

    conf

  • DOI
    10.1109/AIM.2015.7222724
  • Filename
    7222724