Evading the strength-ductility trade-off dilemma in steel through gradient hierarchical nanotwins

宇杰 魏;Yongqiang Li;Lianchun Zhu;Yao Liu;Xianqi Lei;Gang Wang;Yanxin Wu;Zhenli Mi;Jiabin Liu;宏涛 王;华健 高

China Association for Science and Technology;CAS - Institute of Mechanics;Shanghai University;University of Science and Technology Beijing;Zhejiang University

发表时间:2014-4-1

期 刊:Nature Communications

语 言:English

U R L: http://www.scopus.com/inward/record.url?scp=84897450730&partnerID=8YFLogxK

摘要

The strength-ductility trade-off has been a long-standing dilemma in materials science. This has limited the potential of many structural materials, steels in particular. Here we report a way of enhancing the strength of twinning-induced plasticity steel at no ductility trade-off. After applying torsion to cylindrical twinning-induced plasticity steel samples to generate a gradient nanotwinned structure along the radial direction, we find that the yielding strength of the material can be doubled at no reduction in ductility. It is shown that this evasion of strength-ductility trade-off is due to the formation of a gradient hierarchical nanotwinned structure during pre-torsion and subsequent tensile deformation. A series of finite element simulations based on crystal plasticity are performed to understand why the gradient twin structure can cause strengthening and ductility retention, and how sequential torsion and tension lead to the observed hierarchical nanotwinned structure through activation of different twinning systems.

相关科学

生物化学、遗传学和分子生物学
化学
物理学和天文学

文献指纹

化合物

Steel

Ductility

Twinning

Torsional stress

Plasticity

Materials science

Crystals

Chemical activation

Direction compound

医学与生命科学

Steel

Materials Science

Direction compound

物理与天文学

ductility

steels

gradients

twinning

torsion

plastic properties

tensile deformation

materials science

activation

causes

crystals

simulation

被引量

期刊度量

Scopus度量

年份 CiteScore SJR SNIP
1996
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2001
2002
2003
2004
2005
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2010
2011 2.5 3.137 2.543
2012 6.5 5.866 3.172
2013 9.4 6.206 2.906
2014 10.9 6.41 3.05
2015 13.3 6.287 2.817
2016 16.9 6.414 2.869
2017 18.5 6.582 2.93
2018 18.1 5.992 2.86
2019 18.1 5.569 2.847
2020 17.6

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