Data-Driven Mechanistic Modeling of Influence of Microstructure on High-Cycle Fatigue Life of Nickel Titanium

Orion L. Kafka, Cheng Yu, Modesar Shakoor, Zeliang Liu, Gregory J. Wagner, Wing Kam Liu*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

A data-driven mechanistic modeling technique is applied to a system representative of a broken-up inclusion (“stringer”) within drawn nickel-titanium wire or tube, e.g., as used for arterial stents. The approach uses a decomposition of the problem into a training stage and a prediction stage. It is applied to compute the fatigue crack incubation life of a microstructure of interest under high-cycle fatigue. A parametric study of a matrix–inclusion–void microstructure is conducted. The results indicate that, within the range studied, a larger void between halves of the inclusion increases fatigue life, while larger inclusion diameter reduces fatigue life.

Original languageEnglish (US)
Pages (from-to)1154-1158
Number of pages5
JournalJOM
Volume70
Issue number7
DOIs
StatePublished - Jul 1 2018

ASJC Scopus subject areas

  • Materials Science(all)
  • Engineering(all)

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