Using Ternary Alloy Additions to Engineer Nitinol Shape Memory Alloys

Metadata Updated: July 17, 2020

Improving travel capabilities is essential in order to further investigative space exploration. For aerospace applications, weight savings is essential. Shape memory alloys (SMAs) are special materials that offer the promise of higher torque to weight outputs, require a lower total part count, and involve less maintenance as compared to conventional hydraulic actuators needed for flight and motor control. This is achieved through the shape memory effect. When a SMA is heated or cooled it undergoes a reversible phase change and the original shape, even against an opposing load, is recovered. This gives these materials the necessary attributes to be a viable replacement material for a variety of aerospace based actuator designs.

NiTi alloys, commercially called Nitinol, are the most common SMAs but are limited in applications by either a low transformation temperature, generally between -100ËšC to 100ËšC, or dimensional instabilities caused by retained strain through multiple cycling through the transformation temperature. The Ni-rich Nitinol alloys have largely been ignored because of their transformation temperature being well below room temperature. However, recent studies have shown that ternary macro-alloying of Pt, Pd, Hf, Zr, or Au can significantly increase this transformation temperature by more than 200% while retaining good dimensional stability. These changes have been associated with the formation of nanoscale precipitates. To date, the distribution, chemistry, structure and local strain field associated with these nanoscale precipitates and their effect on SMAs have largely been unexplored.

In this research, the nanoscale precipitates in Ni-Ti-Zr and Ni-Ti-Hf systems will be comprehensively characterized to optimize the shape memory effect. The effect of ternary macro-alloying on precipitation (size distribution, structure, composition, volume fraction) and localized strain field around the precipitates will be studied. The shape memory transformation will be characterized using differential scanning calorimetry (DSC), and the nano-scale precipitates that control this behavior will be studied using transmission electron microscopy (TEM) and atom probe tomography (APT) with load-bias mechanical testing to determine mechanical performance. These results will yield tailored precipitates that optimize high temperature shape memory properties.

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Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

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Metadata Created Date August 1, 2018
Metadata Updated Date July 17, 2020

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Harvested from NASA Data.json

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Resource Type Dataset
Metadata Created Date August 1, 2018
Metadata Updated Date July 17, 2020
Publisher Space Technology Mission Directorate
Unique Identifier TECHPORT_91710
Public Access Level public
Bureau Code 026:00
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Harvest Object Id 4ebf84af-5b3b-49ff-8406-2fb994e5cfbf
Harvest Source Id 39e4ad2a-47ca-4507-8258-852babd0fd99
Harvest Source Title NASA Data.json
Data First Published 2017-07-01
Homepage URL
Data Last Modified 2020-01-29
Program Code 026:027
Source Datajson Identifier True
Source Hash 6e5b082b22c042b81c85633e431ba4423a6ead1f
Source Schema Version 1.1

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