Numerical Simulation of Dislocation-Precipitate Interactions using Dislocation Dynamics Combined with Voxel-based Finite Elements

被引:4
|
作者
Takahashi, Akiyuki [1 ]
Terada, Yutaro [1 ]
机构
[1] Tokyo Univ Sci, Fac Sci & Technol, Dept Mech Engn, Noda, Chiba 2788510, Japan
来源
FRACTURE AND STRENGTH OF SOLIDS VII, PTS 1 AND 2 | 2011年 / 462-463卷
关键词
Dislocation dynamics; Voxel-based finite elements; Dislocation; Precipitate;
D O I
10.4028/www.scientific.net/KEM.462-463.395
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
This paper provides a computational method for dislocation-precipitate interaction problems. The computational method is a combination of the parametric dislocation dynamics and the voxel-based finite element method, and has a potential to enable the simulation of interaction between dislocations and multiple precipitates. To reduce the computational time, a multi-level voxel element model is employed. The convergence behavior of numerical accuracy and the computational time of the proposed method are examined by solving a dislocation-precipitate interaction problem. The results show that the proposed method has a good convergence behavior, and the computational time can be drastically reduced by the use of the multi-level voxel element model. Finally, the interaction between dislocations and multiple precipitates is solved to demonstrate a potential of the proposed method with various average diameters and constant volume fraction of precipitate. As the result, the proposed method successfully captured the dependence of the critical resolved shear stress on the average precipitate diameter.
引用
收藏
页码:395 / 400
页数:6
相关论文
共 30 条
  • [1] Dislocation dynamics based modelling of dislocation-precipitate interactions in bcc metals
    Takahashi, A.
    Kurata, K.
    9TH WORLD CONGRESS ON COMPUTATIONAL MECHANICS AND 4TH ASIAN PACIFIC CONGRESS ON COMPUTATIONAL MECHANICS, 2010, 10
  • [2] Dislocation-precipitate interactions in crystals: from the BKS model to collective dislocation dynamics
    Lasse Laurson
    Mikko J. Alava
    Journal of Materials Science: Materials Theory, 8 (1)
  • [3] An efficient computational technique for modeling dislocation-precipitate interactions within dislocation dynamics
    Keyhani, Amirreza
    Roumina, Reza
    Mohammadi, Soheil
    COMPUTATIONAL MATERIALS SCIENCE, 2016, 122 : 281 - 287
  • [4] Micromechanics-Based Strain Hardening Model in Consideration of Dislocation-Precipitate Interactions
    Kim, Ji Hoon
    Lee, Myoung-Gyu
    Kim, Daeyong
    Wagoner, R. H.
    METALS AND MATERIALS INTERNATIONAL, 2011, 17 (02) : 291 - 300
  • [5] Multiscale modeling of dislocation-precipitate interactions in Fe: From molecular dynamics to discrete dislocations
    Lehtinen, Arttu
    Granberg, Fredric
    Laurson, Lasse
    Nordlund, Kai
    Alava, Mikko J.
    PHYSICAL REVIEW E, 2016, 93 (01):
  • [6] Micromechanics-based strain hardening model in consideration of dislocation-precipitate interactions
    Ji Hoon Kim
    Myoung-Gyu Lee
    Daeyong Kim
    R. H. Wagoner
    Metals and Materials International, 2011, 17
  • [7] An efficient algorithm of dislocation-precipitate interactions for single crystal nickel-based superalloys within discrete dislocation dynamics and its application
    Huang, Song
    Huang, Minsheng
    MODELLING AND SIMULATION IN MATERIALS SCIENCE AND ENGINEERING, 2021, 29 (08)
  • [8] Molecular Dynamics Simulation of Dislocation- γ -precipitate Interactions in γ′-precipitates
    Takahashi, Akiyuki
    Terada, Yutaro
    FRACTURE AND STRENGTH OF SOLIDS VII, PTS 1 AND 2, 2011, 462-463 : 425 - 430
  • [9] A Molecular Dynamics Study on the Dislocation-Precipitate Interaction in a Nickel Based Superalloy during the Tensile Deformation
    Wan, Chang-Feng
    Sun, Li-Gang
    Qin, Hai-Long
    Bi, Zhong-Nan
    Li, Dong-Feng
    MATERIALS, 2023, 16 (18)
  • [10] Atomic-scale investigations on dislocation-precipitate interactions influenced by voids in Ni-based superalloys
    Cui, Can
    Gong, Xiaoguo
    Chen, Lijia
    Xu, Weiwei
    Chen, Lijie
    INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES, 2022, 216