Published March 2018 | Version v1
Journal article

Texture-induced anisotropic phase transformation in a NiTi shape memory alloy

  • 1. The Peac Institute of Multiscale Sciences, Chengdu, Sichuan 610031 (China)
  • 2. Key Laboratory of Advanced Technologies of Materials, Ministry of Education, Southwest Jiaotong University, Chengdu, Sichuan 610031 (China)

Description

Texture-induced anisotropic phase transformation of a rolled NiTi sheet was investigated via uniaxial tension and cyclic loading using in situ laboratory X-ray diffraction. The tensile tests were carried out along rolling direction (RD) and transverse direction (TD), which respectively have the highest and lowest phase transformation plateau strain. The initial preferred orientations of the rolled sheet (single austenite phase) concentrate on the ζ and γ fibers, i.e. ∥ND and ∥ND (normal direction). For loading along RD, six favorably oriented martensite variants form and lead to the formation of the new texture component {111}, whereas along TD, three favorably oriented martensite variants form, making the initial {110} texture component stronger. Besides, the Lüders band can be clearly observed in the first cycle of cyclic loading, during which the favorably oriented martensite variants are firstly induced, followed by the less-favorably oriented martensite variants. The martensite transformation continues after the phase transformation plateau via the propagation of the favorably and less-favorably oriented martensite variants. At high cycles, Lüders band cannot be observed due to remained traces of martensite and grain refinement.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.msea.2018.01.075

Additional details

Identifiers

DOI
10.1016/j.msea.2018.01.075;
PII
S0921509318301072;

Publishing Information

Journal Title
Materials Science and Engineering. A, Structural Materials: Properties, Microstructure and Processing
Journal Volume
718
Journal Page Range
p. 96-103
ISSN
0921-5093
CODEN
MSAPE3

Optional Information

Copyright
Copyright (c) 2017 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.