High strain-rate strength response of single crystal tantalum through in-situ hole closure imaging experiments

被引:0
|
作者
Lind, J. [1 ]
Carson, R. A. [1 ]
Bertin, N. [1 ]
Nelms, M. [1 ]
机构
[1] Lawrence Livermore Natl Lab, 7000 East Ave, Livermore, CA 94550 USA
来源
MATERIALIA | 2024年 / 37卷
关键词
Single crystal; Strength; Tantalum; Shock compression; Hole closure; DEFORMATION; STRESS;
D O I
10.1016/j.mtla.2024.102219
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The properties of crystalline materials often depend on directionality and operating conditions. Specifically, the strength of materials can depend anisotropically on crystal direction and the loading condition. To probe these effects, a preliminary series of high strain-rate (>10(5)/s) strength plate-impact hole closure experiments were performed on high purity single crystal tantalum cubes. The orientation of the single crystals with respect to impact/loading were varied to provide data to inform crystal plasticity modeling efforts. The experiments consist of in-situ high-resolution X-ray radiographic imaging of the hole collapse under dynamic compression conditions to infer the material strength via its resistance to closure at increasing levels of plastic strain. The experiments are compared against hydrocode simulation predictions. A comparison with simple elastic perfectly plastic strength model predictions is presented to elucidate the response of the different crystal orientations at high strain-rate and large plastic strains.
引用
收藏
页数:8
相关论文
共 22 条
  • [21] The High Temperature Strength of Single Crystal Ni-base Superalloys - Re-visiting Constant Strain Rate, Creep, and Thermomechanical Fatigue Testing
    Sirrenberg, Marc
    Babinsky, Tomas
    Buerger, David
    Guth, Stefan
    Parsa, Alireza B.
    Thome, Pascal
    Dlouhy, Antonin
    Mills, Michael J.
    Eggeler, Gunther
    ADVANCED ENGINEERING MATERIALS, 2024, 26 (19)
  • [22] Strain-rate-sensitive mechanical response, twinning, and texture features of NiCoCrFe high-entropy alloy: Experiments, multi-level crystal plasticity and artificial neural networks modeling
    Gao, T. J.
    Zhao, D.
    Zhang, T. W.
    Jin, T.
    Ma, S. G.
    Wang, Z. H.
    JOURNAL OF ALLOYS AND COMPOUNDS, 2020, 845