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Medical applications of shape memory alloys
Open accessAbstract
Shape memory alloys (SMA) are materials that have the ability to return to a former shape when subjected to an appropriate thermomechanical procedure. Pseudoelastic and shape memory effects are some of the behaviors presented by these alloys. The unique properties concerning these alloys have encouraged many investigators to look for applications of SMA in different fields of human knowledge. The purpose of this review article is to present a brief discussion of the thermomechanical behavior of SMA and to describe their most promising applications in the biomedical area. These include cardiovascular and orthopedic uses, and surgical instruments.
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Cited by
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Biomedical Applications of Shape Memory Alloys
Petrini, L., & Migliavacca, F. (2011) · Journal of Metallurgy · doi:10.1155/2011/501483 · Cited by 585
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Peraza-Hernandez, E. A., Hartl, D. J., Malak Jr, R. J., & Lagoudas, D. C. (2014) · Smart Materials and Structures · doi:10.1088/0964-1726/23/9/094001 · Cited by 421
Biomedical production of implants by additive electro-chemical and physical processes
Bartolo, P., Kruth, J.-P., Silva, J., Levy, G., Malshe, A., Rajurkar, K., Mitsuishi, M., Ciurana, J., & Leu, M. (2012) · CIRP Annals · doi:10.1016/j.cirp.2012.05.005 · Cited by 321
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Metadata
- Authors
- Machado, L. G., & Savi, M. A.
- Venue
- Brazilian Journal of Medical and Biological Research
- Publisher
- FapUNIFESP (SciELO)
- Published
- 2003-06
- Volume
- 36
- Issue
- 6
- Pages
- 683-691
- ISSN
- 0100-879X (ISSN-L)
- OpenAlex
- W2163192098
- Cited by
- 544
- References
- 0
- FWCI
- 3.81
- Type
- journal article
- Language
- en
- Open access
- gold
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- Machado, L. G., & Savi, M. A. (2003). Medical applications of shape memory alloys. Brazilian Journal of Medical and Biological Research. https://doi.org/10.1590/s0100-879x2003000600001
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
