Abstract

In small-scale mechanical tests, such as micropillar compression tests, plastic deformation is often localized in narrow slip traces. These slip traces result from a few dislocation sources with relatively low nucleation stresses that are present in the material. In order to accurately simulate such small-scale experiments, the stochastics of the underlying dislocation network must be taken into account, which is usually done by performing discrete dislocation dynamics simulations. However, their high computational cost generally restricts these simulations to small and simple geometries and small applied displacements. Furthermore, effects of geometrical changes are usually neglected in the small strain formulation adopted. In this study, a discrete slip plane model for simulating small-scale experiments on single crystals is proposed, which takes the most important characteristics of dislocation plasticity for geometries in the micrometer range into account, i.e.the stochastics and physics of dislocation sources. In the model, the properties of all lattice planes are sampled from a probability density function. This results in a heterogeneous flow stress within a single crystal, unlike the uniform properties assumed in conventional crystal plasticity formulations. Moreover, the slip planes can be grouped together in bands via a weakest-link principle. The resulting equations are implemented in a standard crystal plasticity finite element model, using a finite deformation formulation. Within this setting, only the collective dislocation motion on glide planes is modeled, resulting in a significantly lower computational cost compared to frameworks in which the dynamics of individual dislocations are considered. This allows for simulating multiple realizations in 3D, up to large deformations. A small case study on micropillar compression tests is presented to illustrate the capabilities of the model.

Highlights

  • Small-scale experiments on metal alloys have great scientific value because they can be used to test the mechanical response of isolated features in a microstructure, such as individual phases in multi-phase materials (Ghassemi-Armaki et al, 2014; Tian et al, 2020), or the effect of isolated grain boundaries by testing bi-crystals (Kirchlechner et al, 2017; Malyar et al, 2017)

  • In order to accurately simulate such small-scale experiments, the stochastics of the underlying dislocation network must be taken into account, which is usually done by performing discrete dislocation dynamics simulations

  • The properties of all lattice planes are sampled from a probability density function. This results in a heterogeneous flow stress within a single crystal, unlike the uniform properties assumed in conventional crystal plasticity formulations

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Summary

Introduction

Small-scale experiments on metal alloys have great scientific value because they can be used to test the mechanical response of isolated features in a microstructure, such as individual phases in multi-phase materials (Ghassemi-Armaki et al, 2014; Tian et al, 2020), or the effect of isolated grain boundaries by testing bi-crystals (Kirchlechner et al, 2017; Malyar et al, 2017). While isotropic plasticity simulations have clear merit, the discrep- in the micrometer range, where the behavior is dominated by ancy with small-scale experiments revealing slip on specific glide the weakest links and in which the plastic deformation is localized planes is obvious. It does not include the discrete and stochas- underlying plastic deformation This mechanism results in crystaltic nature of the underlying slip planes and dislocation structure, lographic slip, i.e. the sliding of two crystal regions with respect to which is a key characteristic of small-scale tests on single crystals each other along a slip plane. All discrete function of space and strain with long-range interaction stresses atomic slip planes of the possibly active slip systems are taken into mediated by Green’s function, resulting in plastic strain heteroaccount. Slip steps on both slip systems are indicated with lengths v1 and v2, for which the resulting geometry is shown

Model equations
Model reduction
Finite element implementation
Model assessment
Geometry and material properties
One-dimensional implementation
Slip band width
Mesh convergence
Application to micropillar compression of nickel
Strength distribution and size effects
Slip activity
A ux dA: ð20Þ
Findings
Summary and conclusions
Full Text
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