• DocumentCode
    1794087
  • Title

    An ANN model of polymer based MEMS structures: A modal analysis approach

  • Author

    Katageri, Ajayakumar C. ; Sheeparamatti, B.G.

  • Author_Institution
    Dept. of Electron. & Commun. Eng., Basaveshwar Eng. Coll., Bagalkot, India
  • fYear
    2014
  • fDate
    9-9 Oct. 2014
  • Firstpage
    112
  • Lastpage
    117
  • Abstract
    Use of polymer material in manufacturing of microstructures has been a trend in recent MEMS technology. One such trend is employed in this paper where in four different micro structures are designed and simulated using SU8 polymer material. All the architectures are simulated using COMSOL Multi physics to compute modal frequency. The simulation results are verified analytically using a standard mathematical equations. The simulated architectures are then modelled using neural network to compute the dimensions of a given architecture for a desired modal frequency. Also the simulation results, the analytical results and the ANN results are compared for the various architectures.
  • Keywords
    electronic engineering computing; micromechanical devices; modal analysis; neural nets; polymers; ANN model; COMSOL Multiphysics; MEMS technology; SU8 polymer material; modal analysis approach; modal frequency; neural network model; polymer material; polymer-based MEMS structures; standard mathematical equations; Artificial neural networks; Computational modeling; Computer architecture; Mathematical model; Micromechanical devices; Polymers; Resonant frequency; COMSOL; Modal frequency; Multiphysics; Neural network; SU-8;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Smart Structures and Systems (ICSSS), 2014 International Conference on
  • Conference_Location
    Chennai
  • Print_ISBN
    978-1-4799-6506-9
  • Type

    conf

  • DOI
    10.1109/ICSSS.2014.7006184
  • Filename
    7006184