Zhenyang Liu
China University of Petroleum
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Publication
Featured researches published by Zhenyang Liu.
Science | 2013
Shijie Hao; Lishan Cui; Daqiang Jiang; Xiaodong Han; Yang Ren; Jiang Jiang; Yinong Liu; Zhenyang Liu; Shengcheng Mao; Yandong Wang; Yan Li; Xiaobing Ren; Xiangdong Ding; Shan Wang; Cun Yu; Xiaobin Shi; Minshu Du; Feng Yang; Yanjun Zheng; Ze Zhang; Xiaodong Li; Dennis E. Brown; Ju Li
S-T-R-E-T-C-H Me Most metals show elastic strain limits well below 1%, beyond which permanent plastic deformation occurs. Metal nanowires can be elastically stretched to much higher strains, on the order of 4 to 7%. However, when placed inside a metal matrix to form a composite, these nanowires can no longer be stretched to the same extent, even when the nanowires are well distributed and show good bonding with the matrix. Hao et al. (p. 1191; see the Perspective by Zhou) used a shape memory alloy as the matrix material to produce a much better (more elastic) composite. The use of a shape-memory metal alloy as a matrix better exploits the inherent elastic properties of niobium nanowires. [Also see Perspective by Zhou] Freestanding nanowires have ultrahigh elastic strain limits (4 to 7%) and yield strengths, but exploiting their intrinsic mechanical properties in bulk composites has proven to be difficult. We exploited the intrinsic mechanical properties of nanowires in a phase-transforming matrix based on the concept of elastic and transformation strain matching. By engineering the microstructure and residual stress to couple the true elasticity of Nb nanowires with the pseudoelasticity of a NiTi shape-memory alloy, we developed an in situ composite that possesses a large quasi-linear elastic strain of over 6%, a low Youngs modulus of ~28 gigapascals, and a high yield strength of ~1.65 gigapascals. Our elastic strain-matching approach allows the exceptional mechanical properties of nanowires to be exploited in bulk materials.
Scientific Reports | 2015
Junsong Zhang; Lishan Cui; Daqiang Jiang; Yinong Liu; Shijie Hao; Yang Ren; Xiaodong Han; Zhenyang Liu; Yunzhi Wang; Cun Yu; Yong Huan; Xinqing Zhao; Yanjun Zheng; Huibin Xu; Xiaobing Ren; Xiaodong Li
The design principles for naturally occurring biological materials have inspired us to develop next-generation engineering materials with remarkable performance. Nacre, commonly referred to as natures armor, is renowned for its unusual combination of strength and toughness. Natures wisdom in nacre resides in its elaborate structural design and the judicious placement of a unique organic biopolymer with intelligent deformation features. However, up to now, it is still a challenge to transcribe the biopolymers deformation attributes into a stronger substitute in the design of new materials. In this study, we propose a new design strategy that employs shape memory alloy to transcribe the “J-curve” mechanical response and uniform molecular/atomic level deformation of the organic biopolymer in the design of high-performance hybrid materials. This design strategy is verified in a TiNi-Ti3Sn model material system. The model material demonstrates an exceptional combination of mechanical properties that are superior to other high-performance metal-based lamellar composites known to date. Our design strategy creates new opportunities for the development of high-performance bio-inspired materials.
Scientific Reports | 2015
Shan Wang; Lishan Cui; Shijie Hao; Daqiang Jiang; Yinong Liu; Zhenyang Liu; Shengcheng Mao; Xiaodong Han; Yang Ren
This study investigated the elastic deformation behaviour of Nb nanowires embedded in a NiTi matrix. The Nb nanowires exhibited an ultra-large elastic deformation, which is found to be dictated by the martensitic transformation of the NiTi matrix, thus exhibiting unique characteristics of locality and rapidity. These are in clear contrast to our conventional observation of elastic deformations of crystalline solids, which is a homogeneous lattice distortion with a strain rate controlled by the applied strain. The Nb nanowires are also found to exhibit elastic-plastic deformation accompanying the martensitic transformation of the NiTi matrix in the case when the transformation strain of the matrix over-matches the elastic strain limit of the nanowires, or exhibit only elastic deformation in the case of under-matching. Such insight provides an important opportunity for elastic strain engineering and composite design.
Applied Physics Letters | 2013
Shijie Hao; Lishan Cui; Daqiang Jiang; Cun Yu; Jiang Jiang; Xiaobin Shi; Zhenyang Liu; Shan Wang; Yandong Wang; Dennis E. Brown; Yang Ren
An in-situ nanostructured Nb reinforced NiTi shape-memory alloy composite was fabricated by mechanical reduction of an as-cast Nb-NiTi eutectic alloy. The composite exhibits large elastic strain, high strength, narrow hysteresis, and high mechanical energy storage density and efficiency during tensile cycling. In situ synchrotron high-energy X-ray diffraction revealed that these superior properties were attributed to the strong coupling between nanostructured Nb and NiTi matrix during deformation. Furthermore, this study offers a good understanding of the deformation behavior of the nanoscale reinforcement embedded in the metal matrix deformed by stress-induced phase transformation.
Scripta Materialia | 2014
Zhenyang Liu; Lishan Cui; Yinong Liu; Daqiang Jiang; Jiang Jiang; Xiaobin Shi; Yang Shao; Yanjun Zheng
Materials & Design | 2016
Cun Yu; Zhenyang Liu; Yinong Liu; Yang Shao; Yang Ren; Lishan Cui
Materials Science and Engineering A-structural Materials Properties Microstructure and Processing | 2014
Zhenyang Liu; Yinong Liu; Daqiang Jiang; Feng Yang; Shijie Hao; Yang Ren; Lishan Cui
Materials Science and Engineering A-structural Materials Properties Microstructure and Processing | 2012
Jiang Jiang; Lishan Cui; Yanjun Zheng; Daqiang Jiang; Zhenyang Liu; K. Zhao
Materials Letters | 2014
Xiaobin Shi; Mengying Yu; Fangmin Guo; Zhenyang Liu; Daqiang Jiang; Xiaodong Han; Lishan Cui
Materials Science and Engineering A-structural Materials Properties Microstructure and Processing | 2012
Jiang Jiang; Lishan Cui; Yanjun Zheng; Daqiang Jiang; Zhenyang Liu; Kun Zhao