Amigo Nicolás
Departamento de Física, Facultad de Ciencias Naturales, Matemática y del Medio Ambiente, Universidad Tecnológica Metropolitana, Las Palmeras 3360, Ñuñoa, 7800003, Santiago, Chile.
J Mol Model. 2025 Feb 13;31(3):82. doi: 10.1007/s00894-025-06307-w.
Understanding the shear response of metallic glasses is essential for predicting their mechanical performance and plasticity. Cu Zr metallic glasses, in particular, exhibit complex shear-thinning behavior governed by atomic composition. Prior studies have highlighted the role of composition in influencing mechanical properties; however, the relationship between the structural characteristics of these alloys and their rheological behavior requires further investigation. This work focuses on the effects of Cu content on the plastic flow of CuZr metallic glasses, emphasizing how atomic-scale features influence yield stress, viscosity, and the onset of plasticity.
Molecular dynamics simulations using the embedded atom method potential in LAMMPS were conducted to study Cu Zr metallic glasses. Samples were equilibrated at 2000 K and quenched to 300 K at 10 K/s. Shear tests at six rates ( to s ) were performed at 300 K, with the flow stress modeled using the Herschel-Bulkley equation. Structural features were analyzed via Voronoi polyhedra, focusing on local five-fold symmetry and liquid-like polyhedra populations. Visualization and data analysis were conducted using OVITO and Scikit-learn library for the Python programming language.
了解金属玻璃的剪切响应对于预测其力学性能和可塑性至关重要。特别是铜锆金属玻璃,表现出受原子组成支配的复杂剪切变稀行为。先前的研究强调了组成对力学性能的影响;然而,这些合金的结构特征与其流变行为之间的关系仍需进一步研究。这项工作聚焦于铜含量对铜锆金属玻璃塑性流动的影响,着重探讨原子尺度特征如何影响屈服应力、粘度和可塑性的起始。
使用LAMMPS中的嵌入原子法势进行分子动力学模拟,以研究铜锆金属玻璃。样品在2000K下达到平衡,然后以10K/s的速度淬火至300K。在300K下以六种速率(至s)进行剪切测试,使用赫谢尔-布尔克利方程对流动应力进行建模。通过Voronoi多面体分析结构特征,重点关注局部五重对称性和类液体多面体群体。使用用于Python编程语言的OVITO和Scikit-learn库进行可视化和数据分析。