Unraveling the temperature dependence of the yield strength in single-crystal tungsten using atomistically-informed crystal plasticity calculations

被引:153
作者
Cereceda, David [1 ,2 ,3 ]
Diehl, Martin [4 ]
Roters, Franz [4 ]
Raabe, Dierk [4 ]
Manuel Perlado, J. [3 ]
Marian, Jaime [1 ]
机构
[1] Univ Calif Los Angeles, Dept Mat Sci & Engn, Los Angeles, CA 90095 USA
[2] Lawrence Livermore Natl Lab, Phys & Life Sci Directorate, Livermore, CA USA
[3] Univ Politecn Madrid, Inst Fus Nucl, E-28006 Madrid, Spain
[4] Max Planck Inst Eisenforsch GmbH, Max Planck Str 1, D-40237 Dusseldorf, Germany
关键词
Bcc crystal plasticity; Yield stress; Non-Schmid effects; Screw dislocations; Single crystal tungsten; CENTERED-CUBIC METALS; DISLOCATION DYNAMICS SIMULATIONS; KINETIC MONTE-CARLO; STRAIN-RATE SENSITIVITY; BCC METALS; SCREW DISLOCATIONS; CORE STRUCTURE; ROLLING TEXTURES; MOLECULAR-DYNAMICS; FLOW-STRESS;
D O I
10.1016/j.ijplas.2015.09.002
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
We use a physically-based crystal plasticity model to predict the yield strength of body centered cubic (bcc) tungsten single crystals subjected to uniaxial loading. Our model captures the thermally-activated character of screw dislocation motion and full non Schmid effects, both of which are known to play critical roles in bcc plasticity. The model uses atomistic calculations as the sole source of constitutive information, with no parameter fitting of any kind to experimental data. Our results are in excellent agreement with experimental measurements of the yield stress as a function of temperature for a number of loading orientations. The validated methodology is employed to calculate the temperature and strain-rate dependence of the yield strength for 231 crystallographic orientations within the standard stereographic triangle. We extract the strain-rate sensitivity of W crystals at different temperatures, and finish with the calculation of yield surfaces under biaxial loading conditions that can be used to define effective yield criteria for engineering design models. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:242 / 265
页数:24
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