The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
A review of shape memory alloy research, applications and opportunities
Open accessAbstract
Abstract Shape memory alloys (SMAs) belong to a class of shape memory materials (SMMs), which have the ability to ‘memorise’ or retain their previous form when subjected to certain stimulus such as thermomechanical or magnetic variations. SMAs have drawn significant attention and interest in recent years in a broad range of commercial applications, due to their unique and superior properties; this commercial development has been supported by fundamental and applied research studies. This work describes the attributes of SMAs that make them ideally suited to actuators in various applications, and addresses their associated limitations to clarify the design challenges faced by SMA developers. This work provides a timely review of recent SMA research and commercial applications, with over 100 state-of-the-art patents; which are categorised against relevant commercial domains and rated according to design objectives of relevance to these domains (particularly automotive, aerospace, robotic and biomedical). Although this work presents an extensive review of SMAs, other categories of SMMs are also discussed; including a historical overview, summary of recent advances and new application opportunities.
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Citations
Cites
Light-induced shape-memory polymers
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High‐Strain Shape‐Memory Polymers
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Cited by
Soft Actuators for Small-Scale Robotics
Hines, L., Petersen, K., Lum, G. Z., & Sitti, M. (2017) · Advanced Materials · doi:10.1002/adma.201603483 · Cited by 1,337
Shape memory polymers: Past, present and future developments
Hager, M. D., Bode, S., Weber, C., & Schubert, U. S. (2015) · Progress in Polymer Science · doi:10.1016/j.progpolymsci.2015.04.002 · Cited by 950
Fluid-driven origami-inspired artificial muscles
Li, S., Vogt, D. M., Rus, D., & Wood, R. J. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1713450114 · Cited by 747
Reprogrammable recovery and actuation behaviour of shape-memory polymers
Lendlein, A., & Gould, O. E. C. (2019) · Nature Reviews Materials · doi:10.1038/s41578-018-0078-8 · Cited by 723
Active printed materials for complex self-evolving deformations
Raviv, D., Zhao, W., McKnelly, C., Papadopoulou, A., Kadambi, A., Shi, B., Hirsch, S., Dikovsky, D., Zyracki, M., Olguin, C., et al. (2014) · Scientific Reports · doi:10.1038/srep07422 · Cited by 568
Metadata
- Authors
- Mohd Jani, J., Leary, M., Subic, A., & Gibson, M. A.
- Venue
- Materials & Design (1980-2015)
- Publisher
- Elsevier BV
- Published
- 2014-04
- Volume
- 56
- Pages
- 1078-1113
- ISSN
- 0261-3069 (ISSN-L)
- OpenAlex
- W1973565005
- Cited by
- 4,078
- References
- 12
- FWCI
- 52.84
- Type
- journal article
- Language
- en
- Open access
- green
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
