• DocumentCode
    2871807
  • Title

    Predictive modeling of the fatigue phenomenon for polycrystalline structural layers

  • Author

    Millet, Olivier ; Bertrand, Pierre ; Legrand, Bernard ; Collard, Dominique ; Buchaillot, Lionel

  • Author_Institution
    Inst. d´´Electron., de Micro-Electron. et de Nanotechnol., CNRS, Villeneuve d´´Ascq, France
  • fYear
    2004
  • fDate
    2004
  • Firstpage
    145
  • Lastpage
    148
  • Abstract
    This paper deals with the fatigue phenomenon of microstructures which is scanned through the dynamic response of polycrystalline structural layers during operation. A predictive modeling of the fatigue phenomenon has been determined based on experimental results obtained by using M-Tests. First, we present the fabrication process and simulation results. Next, cyclic actuation has been performed and two different characterization methods have been used: pull-in voltage measurement and mechanical determination of the stiffness with an Atomic Force Microscope. A description of the fatigue phenomenon is proposed and, from experimental results, a predictive modeling has been built and compared to new characterization results in order to validate it. This modeling allows predicting the evolution of clamped-clamped beam stiffness vs. the number of operations.
  • Keywords
    atomic force microscopy; crystal microstructure; elastic constants; elemental semiconductors; fatigue; microactuators; micromachining; semiconductor device models; semiconductor thin films; silicon; Si; atomic force microscopy; clamped-clamped beam stiffness; cyclic actuation; fatigue properties; microstructures; polycrystalline structural layers; predictive modeling; voltage measurement; Atomic force microscopy; Electrodes; Electrostatics; Fabrication; Fatigue; Performance evaluation; Predictive models; Stress; Testing; Voltage measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Micro Electro Mechanical Systems, 2004. 17th IEEE International Conference on. (MEMS)
  • Print_ISBN
    0-7803-8265-X
  • Type

    conf

  • DOI
    10.1109/MEMS.2004.1290543
  • Filename
    1290543