Atomistic simulation of shape memory effect (SME) and superelasticity (SE) in nano-porous NiTi shape memory alloy (SMA)
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CMS_Gur_Frantziskonis_Muralidh ...
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Final Accepted Manuscript
Affiliation
Univ Arizona, Civil Engn & Engn MechUniv Arizona, Mat Sci & Engn
Issue Date
2018-09Keywords
Atomistic simulationShape memory effect
Superelasticity
NiTi shape memory alloy
Nanoscale
Porosity
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Gur, S., Frantziskonis, G. N., & Muralidharan, K. (2018). Atomistic simulation of shape memory effect (SME) and superelasticity (SE) in nano-porous NiTi shape memory alloy (SMA). Computational Materials Science, 152, 28-37. https://doi.org/10.1016/j.commatsci.2018.05.031Journal
COMPUTATIONAL MATERIALS SCIENCERights
© 2018 Elsevier B.V. All rights reserved.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
Porosity can play an important role in altering the phase transformation characteristics of NiTi shape memory alloys (SMA), thus changing its shape memory as well as its superelasticity properties. This work, based on atomistic simulations of binary NiTi SMA, documents the effects of porosity at the nanometer length scale on phase fraction evolution kinetics, transformation temperatures, and stress-strain response. Classical molecular dynamics simulations are performed using a well-examined and verified Finnis-Sinclair type embedded-atom method interatomic potential. Simulation results for the nano-porous NiTi with various porosity configurations are compared to non-porous NiTi. The martensite phase fraction and transformation temperatures increase noticeably with increasing porosity, and the stress-strain response shows noticeable variation with porosity. The residual strain and hysteretic energy dissipation capacity increase significantly with increasing porosity.Note
24 month embargo; published online: 25 May 2018ISSN
09270256Version
Final accepted manuscriptSponsors
University of ArizonaAdditional Links
https://linkinghub.elsevier.com/retrieve/pii/S0927025618303380ae974a485f413a2113503eed53cd6c53
10.1016/j.commatsci.2018.05.031