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Introducing grain boundary influenced stochastic effects into constitutive models: Application to twin nucleation in hexagonal close-packed metals
Stephen R. Niezgoda, Irene J. Beyerlein, , Carlos N. Tomé
Published in Minerals, Metals and Materials Society
2013
Volume: 65
   
Issue: 3
Pages: 419 - 430
Abstract
Twinning is an important deformation mechanism in hexagonal close-packed (hcp) metals such as Mg, Zr, Ti, and Be. Twinning in hcp materials is a multiscale process that depends on microstructural and mechanical response details at the mesoscale, microscale, and atomic scales. Twinning can generally be understood as a two-step process, a nucleation step followed by propagation. The nucleation of twins is governed by both material details such as the defect configurations at potential nucleation sites within grain boundaries, as well as the highly local mechanical field near grain boundaries. These two factors, the material and mechanical, must align for a successful nucleation event. In this article, we present a stochastic constitutive law for nucleation of twins and describe its implementation into a homogenized crystal plasticity simulation. Twin nucleation relies on the dissociation of grain boundary defects under stress into the required twinning partials. This dissociation is considered to follow a Poisson process where the parameters of the Poisson distribution are related to the properties of the grain boundaries. The rate of the process is a direct function of the local stress concentration at the grain boundary. These stress concentrations are randomly sampled from a distribution calibrated to full-field crystal plasticity simulations. © 2013 TMS (outside the USA).
About the journal
JournalJOM
PublisherMinerals, Metals and Materials Society
Open AccessNo
Concepts (15)
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    Crystal plasticity
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    Defect configurations
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    Deformation mechanism
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    GRAIN-BOUNDARY DEFECTS
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    HEXAGONAL CLOSE-PACKED
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    LOCAL STRESS CONCENTRATION
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    Mechanical response
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    STOCHASTIC EFFECTS
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    Dissociation
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    Grain boundaries
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    Plasticity
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    Poisson distribution
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    Stochastic systems
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    Stress concentration
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    Nucleation