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Shape Memory and Superelasticity
Erschienen in: Shape Memory and Superelasticity 1/2016

01.03.2016 | Special Issue: High-Temperature Shape Memory Alloys, Invited Paper

Composition, Compatibility, and the Functional Performances of Ternary NiTiX High-Temperature Shape Memory Alloys

verfasst von: Ashley N. Bucsek, Grant A. Hudish, Glen S. Bigelow, Ronald D. Noebe, Aaron P. Stebner

Erschienen in: Shape Memory and Superelasticity | Ausgabe 1/2016

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Abstract

A general procedure to optimize shape memory alloys (SMAs) for specific engineering performance metrics is outlined and demonstrated through a study of ternary, NiTiX high-temperature SMAs, where X = Pd, Hf, Zr. Transformation strains are calculated using the crystallographic theory of martensite and compared to the cofactor conditions, both requiring only lattice parameters as inputs. Measurements of transformation temperatures and hysteresis provide additional comparisons between microstructural-based and transformation properties. The relationships between microstructural-based properties and engineering performance metrics are then thoroughly explored. Use of this procedure demonstrates that SMAs can be tuned for specific applications using relatively simple, fast, and inexpensive measurements and theoretical calculations. The results also indicate an overall trade-off between compatibility and strains, suggesting that alloys may be optimized for either minimal hysteresis or large transformation strains and work output. However, further analysis of the effects of aging shows that better combinations of uncompromised properties are possible through solid solution strengthening.
Vorheriger Artikel Slip Resistance of Ti-Based High-Temperature Shape Memory Alloys
Nächster Artikel Composition–Structure–Property Relations in Au35–68Cu49–15Al16–17 Shape Memory Thin Films

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Metadaten
Titel
Composition, Compatibility, and the Functional Performances of Ternary NiTiX High-Temperature Shape Memory Alloys
verfasst von
Ashley N. Bucsek
Grant A. Hudish
Glen S. Bigelow
Ronald D. Noebe
Aaron P. Stebner
Publikationsdatum
01.03.2016
Verlag
Springer International Publishing
Erschienen in
Shape Memory and Superelasticity / Ausgabe 1/2016
Print ISSN: 2199-384X
Elektronische ISSN: 2199-3858
DOI
https://doi.org/10.1007/s40830-016-0052-5

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