Synthetic Nanocrystalline Microstructures for Atomistic Simulation

Most engineering metals are polycrystalline: they are composed of many individual grains. As the grain size decreases into the nanocrytsalline regime, grain boundaries, the interfaces between grains, begin to dominate mechanical behavior.

Atomstic simulation is an excellent tool to study grain boundaries, which are often only a few atoms wide. Most simulations of these systems, however, utilize a naive microstructure generation method that often produces unrealistic systems.

In this project we showed that the microstrcuture generation method can have real effects that meaningfully influence macroscopic mechanical behavior, specifically by influencing the interplay between dislocation and grain boundary plasticity.

Approach

We compare the common Voronoi tesselation microstructure generation method against microstructures produced by phase-field grain growth simulation.

Voronoi tesselation methods are cheap and simple, but commonly generate unrealistic grain shapes and grain boundary networks. Among the problems are unstable thin grain geometries, artificially narrow grain-size distribution, and overabundance of planar grain boundaries.

?toggle help

uniformdistribute n points uniformly

poisson diskattempt to distribute n points using a poisson disk distribution with radius r

nnumber of points

rminimum distance between points in the poisson disk distribution

click and drag to pan the voronoi diagram

n: r:

Figure 1:Grain Structure Generation

voronoi tesselation

Figure 2:Unphysical Voronoi Grains

Example Voronoi microstructure with selected unphysical grains.

The phase-field method models microstructure evolution through minimization of the grain interface energy. Morphologies more closely match real systems and the interface energy function can account for material anisotropy or grain boundary variety.

Figure 3:Phase Field Microstructure Evolution Simulation

Example simulation of microstructure evolution by solving the isotropic Allen-Cahn equation.

microstructure comparison

Figure 4:Microstructure Comparison

Microstructure Comparison. (left) Voronoi tesselation. (right) Discretized phase field model

Results

In uniaxial compression, the choice of microstructure generation method significantly altered how the material deformed under tensile loading.

Phase-field-derived microstructures exhibited substantially more dislocation activity, while Voronoi microstructures relied more heavily on grain-boundary-mediated deformation. The flat boundaries and narrower grain-size distribution of the Voronoi microstructure promote dislocation plasticity, while the phase field microstrucre, despite having a lower total grain boundary area, favors grain bounday sliding.

dislocation visualization

Figure 5:Dislocation Visualization

Visualization of perfect (blue) and partial (red) dislocations within deformed samples of both microstructures.

dislocation quantification

Figure 6:Dislocation Quanitification

Strain accomodated by dislocations in each microstructure. Phase field microstructure exhibits significantly more dislocation activity.

strain accomodation mechanisms

Figure 7:Strain Mechanism Quantification

Quantification of strain accomodated by various deformation mechanisms for both microstructures. Voronoi tesselation prefers grain boundary sliding, while the phase field microstructure promotes dislocation activity.

Conclusion

The balance between dislocation plasticity and grain-boundary-mediated deformation governs the strength and ductility of nanocrystalline materials.

This work demonstrated that seemingly minor differences in grain-boundary geometry can shift the dominant deformation mechanisms in atomistic simulations. Accurate prediction of nanocrystalline behavior therefore requires physically realistic microstructures, not just physically realistic interatomic potentials.

The methodology developed here was subsequently used in multiple studies of nanocrystalline mechanics and helped motivate related approaches based on other mesoscale grain-growth models.

Further Reading

Development of physically based atomistic microstructures: The effect on the mechanical response of polycrystals
J. Gruber, H. Lim, F. Abdeljawad, S. Foiles, G.J. Tucker
Computational Materials Science (2017) [link]

On the mechanistic origins of maximum strength in nanocrystalline metals
A. Gupta, J. Gruber, S.S. Rajaram, G.B. Thompson, D.L. McDowell, G.J. Tucker
npj Computational Materials (2020) [link]

Grain-Size-Dependent Grain Boundary Deformation during Yielding in Nanocrystalline Materials Using Atomistic Simulations
S.S. Rajaram, A. Gupta, G.B. Thompson, J. Gruber, A. Jablokow, G.J. Tucker
JOM (2020) [link]