Structural changes and kinetics of shear banding in metallic glass composites

Tercini, Marcela; Veiga, Rga; Zúñiga, Alejandro

doi:10.1016/j.jallcom.2019.153046

Cited by 7 publications

(4 citation statements)

References 30 publications

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“…Nevertheless, one can observe that the increase in Cu content intensifies the shear banding and induces the percolation of shear events in the structure. On the other side, the rise of Zr content inhibits the catastrophic shear band propagation, which is due to the presence of numerous potential sites for the STZ formation in the structure [46].…”

Section: Resultsmentioning

confidence: 99%

Role of Glass Composition on Mechanical Properties of Shape Memory Alloy‐Metallic Glass Composites

Chupradit

Raya

Huy

et al. 2021

Advances in Materials Science and Engineering

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In this work, the molecular dynamics (MD) simulation was applied to design a laminated composite structure comprised of the shape memory alloy (SMA) and Cu-Zr metallic glasses (MGs). A wide range of MG compositions was considered to tune the mechanical features and improve the homogenous plastic deformation during the tension loading. The results indicated that the martensitic transformation in the SMA inhibited the sudden shear band propagation in the composite for all the samples. Moreover, it was revealed that the mechanism of plasticity was significantly affected by the change of MG composition. In the Cu-rich MGs, the formation and propagation of thick shear bands occurred at the end of the tension loading; however, the increase in Zr content induced the interaction of multiple shear bands with finer configurations in the system. Nevertheless, the excessive Zr addition in the MG composition facilitated the aggregation of nanopores at the interface of SMA and MGs, which may be due to the softening effect in the Zr-rich MGs. Finally, it is concluded that an optimized MG composition is required for the trade-off between the plasticity and the strength in the SMA-MG composites.

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Section: Resultsmentioning

confidence: 99%

Role of Glass Composition on Mechanical Properties of Shape Memory Alloy‐Metallic Glass Composites

Chupradit

Raya

Huy

et al. 2021

Advances in Materials Science and Engineering

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“…All in all, the K-means algorithm in conjunction with the per-atom potential energy, von Mises stress and atomic volume, have the potential to be applied in the structure identification of more complex systems. For example, it could be eventually employed to identify the local structure of impurities [36,37], martensitic transformation [38,39], amorphous structures [40,41], voids [42,43], among others.…”

Section: Discussionmentioning

confidence: 99%

Crystalline structure and grain boundary identification in nanocrystalline aluminum using K-means clustering

Amigó

2020

Modelling Simul. Mater. Sci. Eng.

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K-means clustering was carried out to identify the atomic structure of nanocrystalline aluminum. For this purpose, per-atom physical quantities were calculated by means of molecular dynamics simulations, such as the potential energy, stress components, and atomic volume. Statistical analysis revealed that potential energy, atomic volume and von Mises stress were relevant parameters to distinguish between fcc atoms and grain boundary atoms. These three parameters were employed with the K-means algorithm to establish two clusters, one corresponding to fcc atoms and another to GB atoms. When comparing the K-means classification performance with that of CNA, an F-1 score of 0.969 and a Matthews correlation coefficient of 0.859 were achieved. This approach differs from other traditional methods in that the quantities employed here do not require input settings such as the number of nearest neighbor nor a cut-off value. Therefore, K-means clustering could be eventually used to inspect the atomic structure in more complex systems.

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“…The STZ mechanism is connected to microstructural heterogeneities. The formation and propagation of shear bands is ascribed to statistically occurring, spatially homogeneous nucleation of STZs and their coalescence [ 41 , 42 , 43 , 44 ]. Experimental and modelling studies revealed that amorphous materials exhibit high strength without strain hardening capability and “brittle-like” behavior [ 45 , 46 ].…”

Section: Introductionmentioning

confidence: 99%

Crystalline–Amorphous Nanostructures: Microstructure, Property and Modelling

et al. 2023

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Crystalline metals generally exhibit good deformability but low strength and poor irradiation tolerance. Amorphous materials in general display poor deformability but high strength and good irradiation tolerance. Interestingly, refining characteristic size can enhance the flow strength of crystalline metals and the deformability of amorphous materials. Thus, crystalline–amorphous nanostructures can exhibit an enhanced strength and an improved plastic flow stability. In addition, high-density interfaces can trap radiation-induced defects and accommodate free volume fluctuation. In this article, we review crystalline–amorphous nanocomposites with characteristic microstructures including nanolaminates, core–shell microstructures, and crystalline/amorphous-based dual-phase nanocomposites. The focus is put on synthesis of characteristic microstructures, deformation behaviors, and multiscale materials modelling.

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Structural changes and kinetics of shear banding in metallic glass composites

Cited by 7 publications

References 30 publications

Role of Glass Composition on Mechanical Properties of Shape Memory Alloy‐Metallic Glass Composites

Role of Glass Composition on Mechanical Properties of Shape Memory Alloy‐Metallic Glass Composites

Crystalline structure and grain boundary identification in nanocrystalline aluminum using K-means clustering

Crystalline–Amorphous Nanostructures: Microstructure, Property and Modelling

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