An extended vertex and crystal plasticity framework for efficient multiscale modeling of polycrystalline materials

被引:15
|
作者
Mellbin, Ylva [1 ]
Hallberg, Haan [1 ]
Ristinmaa, Matti [1 ]
机构
[1] Lund Univ, Div Solid Mech, POB 118, SE-22100 Lund, Sweden
基金
瑞典研究理事会;
关键词
Crystal plasticity; Vertex model; Recrystallization; Grain growth; Texture; Particle pinning; Hall-Petch; Large deformations; Numerical simulation; Finite elements; GRAIN-SIZE DEPENDENCE; PHASE-FIELD; DYNAMIC RECRYSTALLIZATION; STORED ENERGY; COMPUTER-SIMULATION; STATIC RECRYSTALLIZATION; 2ND-PHASE PARTICLES; GROWTH; DEFORMATION; NUCLEATION;
D O I
10.1016/j.ijsolstr.2017.07.009
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
A multiscale modeling framework for polycrystal materials is established, using a combination of an extended vertex model and a crystal plasticity formulation. The 2D vertex model is cast to incorporate a range of mesoscale processes such as grain structure evolution and the influence of second-phase particles. It is combined with a finite strain crystal plasticity formulation whereby also texture development and stored energy accumulation is traced. Computational efficiency is enhanced by GPU-parallelization. The full model captures a wide range of microstructure processes such as dynamic recrystallization, grain growth, texture evolution, anisotropic grain boundary properties as well as particle pinning effects. The macroscale material behavior is directly coupled to the evolving microstructure, for example in terms of a grain size dependent flow stress behavior. Illustrative numerical examples are provided to show the capabilities of the model. For example, the interplay between particle strengthening and grain size influence on macroscopic flow stress behavior is shown, as well as effects due to dynamic recrystallization. Special attention is given to the formulation of the vertex model as the combination of stored energy, particle pinning and anisotropic grain boundary properties give rise to intricate topological transformations which have not been previously addressed. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:150 / 160
页数:11
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