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Tytuł artykułu

Analysis of uncertainties in MEMS and their influence on dynamic properties

Wybrane pełne teksty z tego czasopisma
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
An application of uncertainty analysis of microelectromechanical resonator is presented. A number of different uncertain parameters have been considered, connected both to geometric characteristics and material property. Sensitivity analysis has been carried out in order to study the influence of each input uncertain parameter on the chosen dynamic characteristics. The propagation of given uncertainties into the variation of studied output parameter has been evaluated by means of the Monte Carlo simulation, the vertex method and genetic algorithms. Finite element model of microresonator has been elaborated. It has taken into account the phenomenon of viscous damping coming from the presence of surrounding air as well as the in?uence of constant electrostatic field.
Rocznik
Strony
349--370
Opis fizyczny
Bibliogr. 20 poz.
Twórcy
autor
autor
autor
autor
  • Department of Robotics and Mechatronics, AGH University of Science and Technology, al. Mickiewicza 30, 00-059 Kraków, Poland, tuhl@agh.edu.pl
Bibliografia
  • 1. R.M. LIN, W.J. WANG, Structural dynamics of microsystems - current state of research and future directions, Mechanical Systems and Signal Processing, 20, 1015-1043, 2006.
  • 2. M. Liu, K. MAUTE, D.M. FRANGOPOL, Multi-objective design optimization of electrostatically actuated microbeam resonators with and without parameter uncertainty, Reliability Engineering and System Safety, 92, 1333-1343, 2007.
  • 3. A. MAWARDI, R. PITCHUMANI, Design of microresonators under uncertainty, Journal of Micro-electromechanical Systems, 14, 1, 63-69, 2005.
  • 4. I. CODREANU, A. MARTOWICZ, A. GALLINA, L. PIECZONKA, T. UHL, Study of the effect of process induced uncertainties on the performance of a micro-comb resonator, Proc. of 4th Conference Mechatronic Systems and Materials 2008 - MSM 2008, Bialystok, Poland, July 14-17, 2008.
  • 5. D. MOENS, D. VANDEPITTE, A survey of non-probabilistic uncertainty treatment in finite element analysis, Computer Methods in Applied Mechanics and Engineering, 194, 1527-1555, 2005.
  • 6. D. MOENS, D. VANDEPITTE, Non-probabilistic approaches for non-deterministic FE analysis of imprecisely defined structures. Proc. of the International Conference on Noise and Vibration Engineering ISMA 2004, Leuven, Belgium, 3095-3119, September 20-22, 2004.
  • 7. W.L. OBERKAMPF, S.M. DELAND, B.M. RUTHERFORD, K.V. DIEGERT, K.F. ALVIN, Error and uncertainty in modeling and simulation, Reliability Engineering and System Safety, 75, 333-357, 2002.
  • 8. G.I. SCHUELLER, A state-of-the-art report on computational stochastic mechanics, Probabilistic Engineering Mechanics, 12, 4, 197-321, 1997.
  • 9. R.E. MOORE, Interval analysis, Prentice-Hall, Englewood Cliffs, N.J. 1966.
  • 10. D. DUBOIS, H. PRADE, Fuzzy sets and systems. Theory and applications, Academic Press, New York 1980.
  • 11. M. HANSS, Applied fuzzy arithmetic. An introduction with engineering applications, Springer-Verlag, Berlin 2005.
  • 12. M. HANSS, The transformation method for the simulation and analysis of systems with uncertain parameters, Fuzzy Sets and Systems, 130, 277-289, 2002.
  • 13. H. VAN DER AUWERAER, Requirements and opportunities for structural testing in view of hybrid and virtual modeling, Proc. of the International Conference on Noise and Vibration Engineering ISMA 2002, Leuven, 1687-1702, September 16-18, 2002.
  • 14. M. BAO, Analysis and design principles of MEMS devices, Elsevier Science, 2005.
  • 15. S. MIR, B. CHARLOT, B. COURTOIS, Extending fault-based testing to micromechanical systems, Journal of Electronic Testing: Theory and Applications, 16, 279-288, 2000.
  • 16. M. KLEIBER, H. ANTUNEZ, T.D. HIEN, P. KOWALCZYK, Parameter sensitivity in nonlinear mechanics, John Wiley & Sons, Chichester, England 1997.
  • 17. J.C. HELTON, F.J. DAVIS, Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems, Reliability Engineering and System Safety, 81, 1, 23-69, 2003.
  • 18. D.E. GOLDBERG, Genetic algorithms in search, optimization, and machine learning, Addison-Wesley Publishing Company, Reading, Massachusetts, U.S.A., 1989.
  • 19. Z. MICHALEWICZ, Genetic algorithms + data structures = evolution programs, Springer-Verlag, Berlin, Heidelberg 1996.
  • 20. A. MAWARDI, R. PITCHUMANI, Numerical simulations of an optical fiber drawing process under uncertainty, Journal of Lightwave Technology, 26, 5, 580-587, 2008.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BATB-0001-0019
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