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On the design of a preshaped curved beam bistable mechanism

Authors :
Gilles Bourbon
Rafic Younes
Hussein Hussein
Philippe Lutz
Yassine Haddab
Patrice Le Moal
Franche-Comté Électronique Mécanique, Thermique et Optique - Sciences et Technologies (UMR 6174) (FEMTO-ST)
Université de Technologie de Belfort-Montbeliard (UTBM)-Ecole Nationale Supérieure de Mécanique et des Microtechniques (ENSMM)-Université de Franche-Comté (UFC)
Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC)-Centre National de la Recherche Scientifique (CNRS)
Conception et commande de robots pour la manipulation (DEXTER)
Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM)
Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)
Source :
Mechanism and Machine Theory, Mechanism and Machine Theory, Elsevier, 2019, 131, pp.204-217. ⟨10.1016/j.mechmachtheory.2018.09.024⟩
Publication Year :
2019
Publisher :
Elsevier BV, 2019.

Abstract

International audience; The preshaped curved beam is used as bistable mechanism in MEMS, its behavior is characterized by the snapping forces and stresses that evolve during deflection between the two sides of buckling. Based on analytical models, the influence of variating the material and dimension parameters on the behavior of the curved beam is analyzed. The limit of miniaturization of the beam based on the stress limits is identified. Further, a design optimization methodology is provided which allows selecting the miniature dimensions of the curved beam after defining the range of possible dimensions. This method ensures a required bistablity behavior in terms of stroke and holding forces, while respecting the design requirement. Several design constraints are defined including material and technological limitations and some other specifications. The results in different cases of optimization problems showed to be the same using a proposed optimization methodology and a standard gradient based optimization algorithm.

Details

ISSN :
0094114X
Volume :
131
Database :
OpenAIRE
Journal :
Mechanism and Machine Theory
Accession number :
edsair.doi.dedup.....204b45e0c9b672241c89ad3dc325d365
Full Text :
https://doi.org/10.1016/j.mechmachtheory.2018.09.024