Inverse gradient nanostructure through gradient cold rolling demonstrated with superelasticity improvement in Ti-50.3Ni shape memory alloy

  • Jian Zhang
  • , Ke Liu
  • , Tong Chen
  • , Chen Xu
  • , Chen Chen
  • , Dingshun Yan
  • , Ann Christin Dippel
  • , Jun Sun
  • , Xiangdong Ding

Research output: Contribution to journalArticlepeer-review

19 Scopus citations

Abstract

Gradient nanostructured (GNS) metallic materials are commonly achieved by gradient severe plastic deformation with a gradient of nano- to micro-sized structural units from the surface/boundaries to the center. Certainly, such GNS can be inversely positioned, which however has not yet been reported. The present work reports a facile method in deformation gradient control to attain inverse gradient nanostructured (iGNS), i.e., tailoring the cross-section shape, successfully demonstrated in Ti-50.3Ni shape memory alloy (SMA) wire through cold rolling. The microstructure of the rolled wire is characterized by a macroscopic inverse gradient from boundaries to the center—the average sizes of grain and martensite domain evolve from micrometer to nanometer scale. The iGNS leads to a gradient martensitic transformation upon stress, which has been proved to be effectively reversible via in-situ bending scanning electron microscopy (SEM) observations. The iGNS Ti-50.3Ni SMA exhibits quasi-linear superelasticity (SE) in a wide temperature range from 173 to 423 K. Compared to uniform cold rolling, the gradient cold rolling with less overall plasticity further improves SE strain (up to 4.8 %) and SE efficiency. In-situ tensiling synchrotron X-ray diffraction (SXRD) analysis reveals the underlying mechanisms of the unique SE in the iGNS SMAs. It provides a new design strategy to realize excellent SE in SMAs and sheds light on the advanced GNS metallic materials.

Original languageEnglish
Pages (from-to)233-244
Number of pages12
JournalJournal of Materials Science and Technology
Volume185
DOIs
StatePublished - 20 Jun 2024

Keywords

  • Gradient cold rolling
  • Gradient martensitic transformation
  • Inverse gradient nanostructured metallics
  • Shape memory alloys
  • Superelasticity

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