Crystal plasticity finite element simulations on extruded Mg-10Gd rod with texture gradient

被引:1
|
作者
Lee, Jaeseong [1 ]
Steglich, Dirk [2 ]
Jeong, Youngung [1 ,3 ]
机构
[1] Changwon Natl Univ, Dept Mat Convergence & Syst Engn, 25 Changwondaehak ro, Chang Won, South Korea
[2] Helmholtz Zentrum Hereon, Inst Mat Syst Modeling, D-21502 Geesthacht, Germany
[3] Changwon Natl Univ, Sch Mat Sci & Engn, 25 Changwondaehak ro, Chang Won, South Korea
基金
新加坡国家研究基金会;
关键词
Crystal plasticity; Texture; Finite element; C-ring; Three-point bending; MAGNESIUM ALLOY; DEFORMATION-BEHAVIOR; MECHANICAL RESPONSE; MG; ZIRCONIUM; FRACTURE; SLIP; GD; BIOMATERIALS; COMPRESSION;
D O I
10.1016/j.jma.2024.08.009
中图分类号
TF [冶金工业];
学科分类号
0806 ;
摘要
The mechanical properties of an extruded Mg-10Gd sample, specifically designed for vascular stents, are crucial for predicting its behavior under service conditions. Achieving homogeneous stresses in the hoop direction, essential for characterizing vascular stents, poses challenges in experimental testing based on standard specimens featuring a reduced cross section. This study utilizes an elasto-visco-plastic self-consistent polycrystal model ( AEVPSC) with the predominant twinning reorientation (PTR) scheme as a numerical tool, offering an alternative to mechanical testing. For verification, various mechanical experiments, such as uniaxial tension, compression, notched-bar tension, three-point bending, and C-ring compression tests, were conducted. The resulting force vs. displacement curves and textures were then compared with those based on the AEVPSC model. The computational model's significance is highlighted by simulation results demonstrating that the differential hardening along with a weak strength differential effect observed in the Mg-10Gd sample is a result of the interplay between micromechanical deformation mechanisms and deformation-induced texture evolution. Furthermore, the study highlights that incorporating the axisymmetric texture from the as-received material incorporating the measured texture gradient significantly improves predictive accuracy on the strength in the hoop direction. Ultimately, the findings suggest that the AEVPSC model can effectively predict the mechanical behavior resulting from loading scenarios that are impossible to realize experimentally, emphasizing its valuable contribution as a digital twin. (c) 2024 Chongqing University. Publishing services provided by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. This is an open access article under the CC BY-NC-ND license ( http://creativecommons.org/licenses/by-nc-nd/4.0/ ) Peer review under responsibility of Chongqing University
引用
收藏
页码:3409 / 3430
页数:22
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