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Data-Driven Mechanistic Modeling of Influence of Microstructure on High-Cycle Fatigue Life of Nickel Titanium.
- Source :
- JOM: The Journal of The Minerals, Metals & Materials Society (TMS); Jul2018, Vol. 70 Issue 7, p1154-1158, 5p, 1 Diagram, 2 Graphs
- Publication Year :
- 2018
-
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. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 10474838
- Volume :
- 70
- Issue :
- 7
- Database :
- Complementary Index
- Journal :
- JOM: The Journal of The Minerals, Metals & Materials Society (TMS)
- Publication Type :
- Academic Journal
- Accession number :
- 130379132
- Full Text :
- https://doi.org/10.1007/s11837-018-2868-2