4.7 Article

Tensile strain induced texture evolution in a Ni-Mo alloy with extremely fine nanotwinned columnar grains

出版社

ELSEVIER SCIENCE SA
DOI: 10.1016/j.msea.2021.141108

关键词

Extremely-fine nanograined alloy; Nanotwin; Uniaxial tensile test; Texture; Detwinning; Threading dislocation

资金

  1. Ministry of Science & Technology of China [2017YFA0204401]
  2. National Natural Science Foundation of China [51231006, ZDYZD201701]
  3. Liaoning Revitalization Talents Program [XLYC1808008]
  4. Shenyang National Laboratory for Materials Science [2016RP05]

向作者/读者索取更多资源

This study investigates the plastic deformation in an electrodeposited nanotwinned columnar grained Ni-Mo film with extremely fine grain size. The significant detwinning and texture evolution observed during tensile straining can be attributed to interface energy minimization. The activity of threading dislocations contributes to high yield strength and noticeable deformability in the material.
In the present paper, plastic deformation in an electrodeposited nanotwinned columnar grained Ni?Mo film with an extremely fine columnar grain size of 8 ? 1.7 nm and a twin thickness of 1.3 ? 0.5 nm was investigated via uniaxial micro-tensile tests at room temperature. We found significant detwinning and an evident texture evolution from a randomly-oriented in-plane fiber texture to a highly-oriented out-of-plane texture in the alloy upon tensile straining when tensile direction was oriented in parallel to the twinning plane. Interface energy minimization characterized by the substitution of high angle grain boundaries by low angle grain boundaries and incoherent twin boundaries constitutes the driving force of the texture evolution. Tensile plastic deformation can be attributed to the activity of threading dislocations, which not only contributes to a high yield strength of 2.11 GPa, but also results in in-plane lattice rotation with noticeable deformability.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据