Proceedings of the 2017 7th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2017)

Constitutive Model of Shape Memory Alloy considering the effect of Martensite Plasticity for Biomedical Applications

Authors
Yanping Wang
Corresponding Author
Yanping Wang
Available Online December 2017.
DOI
10.2991/mcei-17.2017.107How to use a DOI?
Keywords
Shape memory alloys; Super-elasticity; Constitutive law; Plasticity
Abstract

This paper focuses on the super-elastic characterization of Ni-based shape memory alloys for biomedical applications. Shape memory alloy (SMA) have presented excellent characterization in biomedical application fields, such as high corrosion resistance, bio-compatible, non-magnetic, and the unique physical properties with the capability to replicate those of human tissues and bones, and so on. In this study, a shape memory alloy (SMA) constitutive model is proposed that is capable of describing SMA super-elastic features and the plasticity effects. Finally, the analyzed results show good ability to predict y the experimental data.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 7th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2017)
Series
Advances in Computer Science Research
Publication Date
December 2017
ISBN
10.2991/mcei-17.2017.107
ISSN
2352-538X
DOI
10.2991/mcei-17.2017.107How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yanping Wang
PY  - 2017/12
DA  - 2017/12
TI  - Constitutive Model of Shape Memory Alloy considering the effect of Martensite Plasticity for Biomedical Applications
BT  - Proceedings of the 2017 7th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2017)
PB  - Atlantis Press
SP  - 505
EP  - 508
SN  - 2352-538X
UR  - https://doi.org/10.2991/mcei-17.2017.107
DO  - 10.2991/mcei-17.2017.107
ID  - Wang2017/12
ER  -