2009
DOI: 10.3390/s90100556
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Modeling Impact-induced Failure of Polysilicon MEMS: A Multi-scale Approach

Abstract: Failure of packaged polysilicon micro-electro-mechanical systems (MEMS) subjected to impacts involves phenomena occurring at several length-scales. In this paper we present a multi-scale finite element approach to properly allow for: (i) the propagation of stress waves inside the package; (ii) the dynamics of the whole MEMS; (iii) the spreading of micro-cracking in the failing part(s) of the sensor. Through Monte Carlo simulations, some effects of polysilicon micro-structure on the failure mode are elucidated.

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Cited by 43 publications
(28 citation statements)
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“…Shock fracture of polysilicon is more challenging and stochastic than SCS, as grain boundaries and elastic anisotropy within the polycrystalline grain structure give rise to complex internal elastic wave interactions and reflections. 251,252 However, most computational analysis of shock loading in MEMS treat the material as a homogeneous isotropic continuum. To evaluate devices for shock loading, most often a dynamic computational analysis is performed for the device geometry to determine the peak stresses during the shock, and those stresses are compared against measured quasi-static strength values to determine a safety factor.…”
Section: Environmentmentioning
confidence: 99%
“…Shock fracture of polysilicon is more challenging and stochastic than SCS, as grain boundaries and elastic anisotropy within the polycrystalline grain structure give rise to complex internal elastic wave interactions and reflections. 251,252 However, most computational analysis of shock loading in MEMS treat the material as a homogeneous isotropic continuum. To evaluate devices for shock loading, most often a dynamic computational analysis is performed for the device geometry to determine the peak stresses during the shock, and those stresses are compared against measured quasi-static strength values to determine a safety factor.…”
Section: Environmentmentioning
confidence: 99%
“…Reliability of packaged polysilicon microelectromechanical systems involves the computational study of environmental effects to predict the long-term performance of MEMS packages at mesoscopic and microscopic length scales. The authors in [72] present a multiscale finite element modeling (FEM) approach coupled to Monte-Carlo (MC) analysis for MEMS failure prediction. In a same way, a predictive-science-based multiscale modeling and simulation platform is proposed in [78] to predict material performance issues, such as radiation, thermo-mechanical cycling and damage and fracture due to shocks.…”
Section: ) Multiscale Modelsmentioning
confidence: 99%
“…System-level FEM/CGMD coupled models [68] MEMS part-level FEM/MC coupled models [72][73], [74] System-level continuum/MD/QM coupled models [75], [76] System-level where n is the number of features in environment.…”
Section: (Ii) Concurrent Multiscale Simulationsmentioning
confidence: 99%
“…These accelerometers, however, require complex signal processing steps (e.g., amplification, filtering, and conversion). Furthermore, they use a proof mass that is suspended by fixed beams that are complicated to fabricate and may incur mechanical fatigue [5][6][7][8][9].…”
Section: Introductionmentioning
confidence: 99%