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Uncertainty propagation in a multiscale model of nanocrystalline plasticity

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  • Koslowski, M.
  • Strachan, Alejandro

Abstract

We characterize how uncertainties propagate across spatial and temporal scales in a physics-based model of nanocrystalline plasticity of fcc metals. Our model combines molecular dynamics (MD) simulations to characterize atomic-level processes that govern dislocation-based-plastic deformation with a phase field approach to dislocation dynamics (PFDD) that describes how an ensemble of dislocations evolve and interact to determine the mechanical response of the material. We apply this approach to a nanocrystalline Ni specimen of interest in micro-electromechanical (MEMS) switches. Our approach enables us to quantify how internal stresses that result from the fabrication process affect the properties of dislocations (using MD) and how these properties, in turn, affect the yield stress of the metallic membrane (using the PFMM model). Our predictions show that, for a nanocrystalline sample with small grain size (4nm), a variation in residual stress of 20MPa (typical in today's microfabrication techniques) would result in a variation on the critical resolved shear yield stress of approximately 15MPa, a very small fraction of the nominal value of approximately 9GPa.

Suggested Citation

  • Koslowski, M. & Strachan, Alejandro, 2011. "Uncertainty propagation in a multiscale model of nanocrystalline plasticity," Reliability Engineering and System Safety, Elsevier, vol. 96(9), pages 1161-1170.
  • Handle: RePEc:eee:reensy:v:96:y:2011:i:9:p:1161-1170
    DOI: 10.1016/j.ress.2010.11.011
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    References listed on IDEAS

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    1. Alexeenko, Alina & Chigullapalli, Sruti & Zeng, Juan & Guo, Xiaohui & Kovacs, Andrew & Peroulis, Dimitrios, 2011. "Uncertainty in microscale gas damping: Implications on dynamics of capacitive MEMS switches," Reliability Engineering and System Safety, Elsevier, vol. 96(9), pages 1171-1183.
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    Cited by:

    1. Mullins, Joshua & Ling, You & Mahadevan, Sankaran & Sun, Lin & Strachan, Alejandro, 2016. "Separation of aleatory and epistemic uncertainty in probabilistic model validation," Reliability Engineering and System Safety, Elsevier, vol. 147(C), pages 49-59.

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