4.7 Review

Revealing the atomistic deformation mechanisms of face-centered cubic nanocrystalline metals with atomic-scale mechanical microscopy: A review

期刊

JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY
卷 34, 期 11, 页码 2027-2034

出版社

JOURNAL MATER SCI TECHNOL
DOI: 10.1016/j.jmst.2018.03.006

关键词

In situ atomic-scale; Nanocrystalline; Deformation mechanisms; Size effecta

资金

  1. Key Project of CNSF [50831001]
  2. NSFC [10102001201304]
  3. Beijing Nova Program [Z1511000003150142]
  4. Beijing 211 Project
  5. Specialized Research Fund for the Doctoral Program of Higher Education of China [3C102001201301]
  6. Project of Construction of Innovative Teams and Teacher Career Development for Universities and Colleges under Beijing Municipality [IDHT20140504]
  7. Australian Research Council [DE150101212]
  8. [PXM201101420409000053]

向作者/读者索取更多资源

Nanocrystalline metals have many functional and structural applications due to their excellent mechanical properties compared to their coarse-grained counterparts. The atomic-scale understanding of the deformation mechanisms of nanocrystalline metals is important for designing new materials, novel structures and applications. The review presents recent developments in the methods and techniques for in situ deformation mechanism investigations on face-centered-cubic nanocrystalline metals. In the first part, we will briefly introduce some important techniques that have been used for investigating the deformation behaviors of nanomaterials. Then, the size effects and the plasticity behaviors in nanocrystalline metals are discussed as a basis for comparison with the plasticity in bulk materials. In the last part, we show the atomic-scale and time-resolved dynamic deformation processes of nanocrystalline metals using our in-lab developed deformation device. (C) 2018 Published by Elsevier Ltd on behalf of The editorial office of Journal of Materials Science & Technology.

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