• DocumentCode
    2168754
  • Title

    A New Topology Optimization Method for Multi-physics Micro Domains

  • Author

    Motiee, Mehrnaz ; Khajepour, Amir ; Mansour, Raafat R.

  • Author_Institution
    Dept. of Mech. & Mechatron. Eng., Univ. of Waterloo, Waterloo, ON
  • fYear
    2008
  • fDate
    12-15 Oct. 2008
  • Firstpage
    106
  • Lastpage
    111
  • Abstract
    In this paper, a novel topology optimization scheme is developed for a systematic design of electro-thermo-mechanical devices employing discrete domain with beam elements. To address the shortcomings of previous related work, frame ground structure is used for discretization and real-coded genetic algorithm is employed to solve the optimization problem. The failure criterion is addressed by imposing a buckling constraint. The proposed optimization scheme is implemented and verified with an example of electro-thermo mechanical actuator. The performance of the optimized configuration is further studied with finite element model in ANSYS. The results of this paper confirm that the presented method is a powerful tool to design MEMS structures with on-chip actuation.
  • Keywords
    actuators; finite element analysis; genetic algorithms; mechanical engineering computing; micromechanical devices; topology; MEMS structures; buckling constraint; electro-thermo-mechanical devices; finite element model; frame ground structure; genetic algorithm; on-chip actuation; topology optimization method; Actuators; Design optimization; Electrothermal effects; Fabrication; Finite element methods; Genetic algorithms; Microelectromechanical devices; Micromechanical devices; Optimization methods; Topology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechtronic and Embedded Systems and Applications, 2008. MESA 2008. IEEE/ASME International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2367-5
  • Electronic_ISBN
    978-1-4244-2368-2
  • Type

    conf

  • DOI
    10.1109/MESA.2008.4735689
  • Filename
    4735689