Article (Scientific journals)
A probabilistic model for predicting the uncertainties of the humid stiction phenomenon on hard materials
Hoang Truong, Vinh; Wu, Ling; Paquay, Stéphane et al.
2015In Journal of Computational and Applied Mathematics, 289, p. 173 - 195
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NOTICE: this is the author’s version of a work that was accepted for publication in Journal of Computational & Applied Mathematics. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of Computational & Applied Mathematics, 289, 2015, DOI: 10.1016/j.cam.2015.02.022


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Keywords :
stiction; capillary force; random field; surface generation; Hertz model; DMT model; GW approach
Abstract :
[en] Stiction is a major failure in microelectromechanical system (MEMS) devices in which two contacting surfaces can remain stuck together because of the adhesive forces. Due to the difference between the surfaces roughness and the adhesive force range, the real contact areas are usually smaller than the apparent one, resulting in a scatter in the adhesive forces. Consequently, the stiction is an uncertain phenomenon. In this work, we develop a probabilistic model to predict the uncertainties of stiction due to the capillary forces acting on stiff materials. This model contains two levels: at the deterministic level, the model can predict the pull-out adhesive contact forces for a given surface topology; at the probabilistic level, the model generates independent identically distributed surfaces on which the deterministic solution can be applied to evaluate the uncertainties related to the stiction phenomenon.
Research center :
Computational & Multiscale Mechanics of Materials
Disciplines :
Mechanical engineering
Materials science & engineering
Mathematics
Author, co-author :
Hoang Truong, Vinh ;  Université de Liège - ULiège > Département d'aérospatiale et mécanique > Computational & Multiscale Mechanics of Materials (CM3)
Wu, Ling ;  Université de Liège - ULiège > Département d'aérospatiale et mécanique > Computational & Multiscale Mechanics of Materials (CM3)
Paquay, Stéphane;  Open Engineering SA
Obreja, Alexandru Cosmin;  National Institute for R & D in Microtechnologies - IMT Bucharest
Voicu, Rodica;  National Institute for R & D in Microtechnologies - IMT Bucharest,
Müller, Raluca;  National Institute for R & D in Microtechnologies - IMT Bucharest
Golinval, Jean-Claude  ;  Université de Liège - ULiège > Département d'aérospatiale et mécanique > LTAS - Vibrations et identification des structures
Noels, Ludovic  ;  Université de Liège - ULiège > Département d'aérospatiale et mécanique > Computational & Multiscale Mechanics of Materials (CM3)
Language :
English
Title :
A probabilistic model for predicting the uncertainties of the humid stiction phenomenon on hard materials
Publication date :
December 2015
Journal title :
Journal of Computational and Applied Mathematics
ISSN :
0377-0427
eISSN :
1879-1778
Publisher :
Elsevier Science, Amsterdam, Netherlands
Special issue title :
Sixth International Conference on Advanced Computational Methods in Engineering (ACOMEN 2014)
Volume :
289
Pages :
173 - 195
Peer reviewed :
Peer Reviewed verified by ORBi
Name of the research project :
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 and by the Romanian UEFISCDI Agency contract ERA-NET MNT no 7-063 (2012-2015).
Funders :
Service public de Wallonie : Direction générale opérationnelle de l'économie, de l'emploi et de la recherche - DG06
Romanian UEFISCDI Agency
FRIA - Fonds pour la Formation à la Recherche dans l'Industrie et dans l'Agriculture [BE]
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