Quantification of microscale factors for fatigue failure in NiTi shape memory alloys

Xiaofei Ju, Ziad Moumni, András Borbély, Yahui Zhang, Shengyi Zhong

Research output: Contribution to journalArticlepeer-review

Abstract

Fatigue behavior is intrinsically linked to microstructural alterations induced by cyclic loading. However, the quantification of microstructural defects associated with fatigue damage of NiTi shape memory alloys (SMAs) is lacking, which hinders the development of a physically based fatigue criterion. To this end, a multi-scale experimental analysis was conducted on cyclically deformed NiTi SMAs, which evidenced a strong correlation between microstructural inhomogeneity and localized deformation behavior. The microstructural change associated with fatigue was quantified in terms of stored strain–energy, with the highest values observed in the regions where fatigue cracks initiate. Consequently, stored energy is deemed as an effective fatigue indicator, offering valuable insights for future work in the design and optimization of SMAs’ structures against fatigue.

Original languageEnglish
Pages (from-to)1-5
Number of pages5
JournalJournal of Materials Research and Technology
Volume31
DOIs
Publication statusPublished - 1 Jul 2024

Keywords

  • Fatigue
  • Microstructure quantification
  • Shape memory alloys (SMAs)
  • Stored energy
  • X-ray diffraction (XRD)

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