Mesoscale modeling of amorphous metals by shear transformation zone dynamics

By E. Homer, C. A. Schuh. 2009

154 citations recorded by the source corpus.

A new mesoscale modeling technique for the thermo-mechanical behavior of metallic glasses is proposed. The modeling framework considers the shear transformation zone (STZ) as the fundamental unit of deformation, and coarse-grains an amorphous collection of atoms into an ensemble of STZs on a mesh. By employing finite element analysis and a kinetic Monte Carlo algorithm, the modeling technique is capable of simulating glass processing and deformation on time and length scales greater than those usually attainable by atomistic modeling. A thorough explanation of the framework is presented, along with a specific two-dimensional implementation for a model metallic glass. The model is shown to capture the basic behaviors of metallic glasses, including high-temperature homogeneous flow following the expected constitutive law, and low-temperature strain localization into shear bands. Details of the effects of processing and thermal history on the glass structure and properties are also discussed.

Subfields: Ceramics and Composites, Materials Chemistry, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/81a507d530528fa4e5ecdfe036eb42c2169ef43e

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In Ceramics and Composites

In Materials Chemistry

In Mechanical Engineering

Citations in the corpus

Modeling the mechanics of amorphous solids at different length scale and time scale (2011, methodology): “d δ = 0.5 (bottom). Reproduced from Ref. [258]. glass conﬁguration or when structural disorder relaxes faster than the strain rate. The inﬂuence of initial conditions was demonstrated by Homer et al. [99] using the KMC model by preparing glasses that either contained an initial density of STs (activ”
Deformation and flow of amorphous solids: Insights from elastoplastic models (2017, methodology): “Stress-controlled setups have received less attention in the frame of EPM but examples can be found in (Homer and Schuh, 2009; Jagla, 2017b; Lin et al., 2015, 2014b; Picard et al., 2004).”