journal article·2017-11

Detwinning of preloaded martensite in shape memory alloys and its effect on the cyclic behavior of NiTi cylindrical actuators

Josiah S Owusu-Danquah, Atef F Saleeb

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Abstract

A multi-mechanism material model is used to investigate the effect of the degree of martensitic detwinning/reorientation occurring at the end of mechanical preloading, on the performance of shape memory tubular and solid cylindrical actuators. A high-temperature ternary Ni 50.3 Ti 29.7 Hf 20 alloy, showing almost complete transformation behavior, and an ordinary binary Ni 49.9 Ti 50.1 material, depicting incomplete martensitic transformation, are used. The results indicated a clear correlation between the shape memory cyclic actuation behavior and the martensitic deformation character of the selected alloy. More specifically, while the actuation strokes produced by the Ni 50.3 Ti 29.7 Hf 20 systems consistently followed a direct pattern for the different geometries and torque magnitudes, the results for the Ni 49.9 Ti 50.1 cases indicated a behavior that is counterintuitive to what may be expected under pure mechanical loading conditions. In particular, when subjected to the same, high preload torques, Ni 49.9 Ti 50.1 solid actuator under lesser stresses generated higher twist strokes than a tubular counterpart experiencing higher stresses.
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Research context

OpenAlex topics: Shape Memory Alloy Transformations

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Affiliations

Department of Civil Engineering, The University of Akron, Akron, OH, USA

References (27)

Show source-provided references
1. Abaqus · 2013
2. 10.1088/0964-1726/24/12/12502310.1088/0964-1726/24/12/125023 ↗
3. 10.1088/0964-1726/23/6/06300110.1088/0964-1726/23/6/063001 ↗
4. 10.1016/j.intermet.2014.02.00610.1016/j.intermet.2014.02.006 ↗
5. 10.1063/1.476431310.1063/1.4764313 ↗
6. 10.1063/1.489604210.1063/1.4896042 ↗
7. 10.1016/j.scriptamat.2010.12.02810.1016/j.scriptamat.2010.12.028 ↗
8. 10.1177/1045389X960070011210.1177/1045389X9600700112 ↗
9. 10.1107/S0365110X5100105710.1107/S0365110X51001057 ↗
10. 10.1016/j.mechmat.2013.07.02010.1016/j.mechmat.2013.07.020 ↗
11. Chen WF · 1994
12. 10.1016/j.actamat.2014.09.02710.1016/j.actamat.2014.09.027 ↗
13. 10.1088/0964-1726/24/8/08200110.1088/0964-1726/24/8/082001 ↗
14. 10.1177/1045389X0707783710.1177/1045389X07077837 ↗
15. Lagoudas DC (ed.) (2008) Shape Memory Alloys: Modeling and Engineering Applications. New York: Springer Science & Business Media, pp. 26–28.
16. Lecce L · 2014
17. 10.1016/j.mechmat.2004.03.00710.1016/j.mechmat.2004.03.007 ↗
18. 10.1007/s11665-015-1425-110.1007/s11665-015-1425-1 ↗
19. 10.1177/1045389X1141122010.1177/1045389X11411220 ↗
20. 10.1007/s11340-013-9840-410.1007/s11340-013-9840-4 ↗
21. 10.1007/s11661-012-1267-510.1007/s11661-012-1267-5 ↗
22. 10.1177/1045389X0606434910.1177/1045389X06064349 ↗
23. 10.1016/j.ijplas.2007.05.00510.1016/j.ijplas.2007.05.005 ↗
24. 10.1002/nme.162029021310.1002/nme.1620290213 ↗
25. 10.1016/j.mechmat.2014.09.00110.1016/j.mechmat.2014.09.001 ↗
26. 10.1016/j.ijplas.2010.08.01210.1016/j.ijplas.2010.08.012 ↗
27. 10.1016/j.jmps.2013.05.00810.1016/j.jmps.2013.05.008 ↗