NiTi-Enabled Composite Design for Exceptional Performances [electronic resource].

Published:: Washington, D.C. : United States. Dept. of Energy. Office of Basic Energy Sciences, 2017.
Oak Ridge, Tenn. : Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy
Physical Description:: pages 67-81 : digital, PDF file
Additional Creators:: Argonne National Laboratory, United States. Department of Energy. Office of Basic Energy Sciences, National Natural Science Foundation of China (NSFC), and United States. Department of Energy. Office of Scientific and Technical Information

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Summary:

In an effort to further develop shape memory alloys (SMAs) for functional applications, much focus has been given in recent years to design and create innovative forms of SMAs, such as functionally graded SMAs, architecture SMAs, and SMA-based metallic composites. Here, we reports on the progress in creating NiTi-based composites of exceptional properties stimulated by the recent discovery of the principle of lattice strain matching between the SMA matrix and superelastic nanoinclusions embedded in the matrix. And based on this principle, different SMA–metal composites have been designed to achieve extraordinary shape memory performances, such as complete pseudoelastic behavior at as low as 77 K and stress plateau as high as 1600 MPa, and exceptional mechanical properties, such as tensile strength as high as 2000 MPa and Young’s modulus as low as 28 GPa. Details are given for a NiTi–W micro-fiber composite prepared by melt infiltration, hot pressing, forging, and cold rolling. Furthermore, the composite contained 63% in volume of W micro-fibers of ~0.6 μm thickness. In situ synchrotron X-ray diffraction revealed that the NiTi matrix underwent martensite transformation during tensile deformation while the W micro-fiber deformed elastically with a maximum strain of 0.83% in the loading direction, implying a W fiber stress of 3280 MPa. The composite showed a maximum high tensile strength of 2300 MPa.

Report Numbers:

E 1.99:1393912

Subject(s):

Materials Science

Other Subject(s):

Note:

Published through SciTech Connect.
03/08/2017.
"133487"
Shape Memory and Superelasticity 3 1 ISSN 2199-384X AM
Yang Shao; Fangmin Guo; Yang Ren; Junsong Zhang; Hong Yang; Daqiang Jiang; Shijie Hao; Lishan Cui.
Australian Research Council

Funding Information:

AC02-06CH11357

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