Contribution to collective works (Parts of books)
A Stochastic Multi-scale Model For Predicting MEMS Stiction Failure
Hoang Truong, Vinh; Wu, Ling; Paquay, Stéphane et al.
2017In Starman, La Vern; Hay, Jennifer; Karanjgaokar, Nikhil (Eds.) Micro and Nanomechanics, Volume 5: Proceedings of the 2016 Annual Conference on Experimental and Applied Mechanics
 

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Keywords :
Stiction; Adhesive Contact; random surface; Multi-scale contact; uncertainty quantification
Abstract :
[en] Adhesion is an important phenomenon in the context of MEMS for which the surface forces become dominant in comparison with the body forces. Because the magnitudes of the adhesive forces strongly depend on the surface interaction distances, which in turn evolve with the roughness of the contacting surfaces, the adhesive forces cannot be determined in a deterministic way. To quantify the uncertainties on the structural stiction behavior of a MEMS, this work proposes a “stochastic multi-scale methodology”. The key ingredient of the method is the evaluation of the random meso-scale apparent contact forces, which homogenize the effect of the nano-scale roughness and are integrated into a numerical model of the studied structure as a random contact law. To obtain the probabilistic behavior at the structural MEMS scale, a direct method needs to evaluate explicitly the meso-scale apparent contact forces in a concurrent way with the stochastic multi-scale approach. To reduce the computational cost, a stochastic model is constructed to generate the random meso-scale apparent contact forces. To this end, the apparent contact forces are parameterized by a vector of parameters before applying a polynomial chaos expansion in order to construct a mathematical model representing the probability of the random parameters vector. The problem of micro-beam stiction is then studied in a probabilistic way.
Disciplines :
Mechanical engineering
Materials science & engineering
Author, co-author :
Hoang Truong, Vinh ;  Université de Liège > Département d'aérospatiale et mécanique > Computational & Multiscale Mechanics of Materials (CM3)
Wu, Ling ;  Université de Liège > Département d'aérospatiale et mécanique > Computational & Multiscale Mechanics of Materials (CM3)
Paquay, Stéphane;  Open Engineering S.A.
Golinval, Jean-Claude  ;  Université de Liège > Département d'aérospatiale et mécanique > LTAS - Vibrations et identification des structures
Arnst, Maarten ;  Université de Liège > Département d'aérospatiale et mécanique > Computational and stochastic modeling
Noels, Ludovic  ;  Université de Liège > Département d'aérospatiale et mécanique > Computational & Multiscale Mechanics of Materials (CM3)
Language :
English
Title :
A Stochastic Multi-scale Model For Predicting MEMS Stiction Failure
Publication date :
2017
Main work title :
Micro and Nanomechanics, Volume 5: Proceedings of the 2016 Annual Conference on Experimental and Applied Mechanics
Editor :
Starman, La Vern
Hay, Jennifer
Karanjgaokar, Nikhil
Publisher :
The Society for Experimental Mechanics, Inc., New York, United States
Edition :
Springer International Publishing
ISBN/EAN :
978-331942227-5
Collection name :
Conference Proceedings of the Society for Experimental Mechanics Series, Vol. 5
Pages :
1-8
Name of the research project :
3SMVIB: The research has been funded by the Walloon Region under the agreement no 1117477 (CT-INT 2011-11-14) in the context of the ERA-NET MNT framework.
Funders :
FRIA - Fonds pour la Formation à la Recherche dans l'Industrie et dans l'Agriculture [BE]
Service public de Wallonie : Direction générale opérationnelle de l'économie, de l'emploi et de la recherche - DG06
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