Multiscale Concurrent Atomistic-Continuum (CAC) modeling of multicomponent alloys

被引:6
作者
Chu, Kevin [1 ]
Diaz, Adrian [2 ]
Chen, Youping [3 ]
Zhu, Ting [1 ,4 ]
McDowell, David L. [1 ,4 ]
机构
[1] Georgia Inst Technol, Sch Mat Sci & Engn, Atlanta, GA 30332 USA
[2] Los Alamos Natl Lab, X Computat Phys Div, POB 1663, Los Alamos, NM USA
[3] Univ Florida, Gainesville, FL 32611 USA
[4] Georgia Inst Technol, Woodruff Sch Mech Engn, Atlanta, GA 30332 USA
基金
美国国家科学基金会;
关键词
Random alloys; Concurrent Atomistic-Continuum; Molecular dynamics; Average atom; SHORT-RANGE ORDER; DISLOCATION DYNAMICS; SIMULATIONS; STRESS;
D O I
10.1016/j.commatsci.2021.110873
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Strengthening in complex multicomponent systems such as solid solution alloys is controlled primarily by the dynamic interactions between dislocation lines and heterogeneously distributed solute species. Modeling of extended defect length scales in such multicomponent systems becomes prohibitively expensive, motivating the development of reduced order approaches. This work explores the application of the Concurrent AtomisticContinuum (CAC) method to model dislocation mobility in random alloys at extended length scales. By employing recently developed average-atom interatomic potentials, the average "bulk" material response in coarse-grained regions interacts with true random solute species in the atomistic-scale domain. We demonstrate that spurious stresses in domain resolution transition regions are eliminated entirely due to the CAC formulation. Simultaneously, the key details of local stress fluctuation due to randomness in the dislocation core region are captured, and fluctuating stress smoothly decays to the long-range dislocation stress field response. Dislocation mobility calculations, for line lengths over 400 nm, are computed as a function of alloy composition in the model FeNiCr system and compared to full molecular dynamics (MD). The results capture the composition-dependent trends, while reducing degrees of freedom by nearly 40%. This approach can be readily extended to any system described by an EAM potential and facilitates the study of large-scale defect dynamics in complex solute environments to support computational alloy design.
引用
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页数:9
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