The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Interpenetrating Polymer Networks for High‐Performance Electroelastomer Artificial Muscles
Abstract
New interpenetrating elastomeric networks have been prepared in which the high tension in the first network is balanced by the compression of the second network. The composite films exhibit high electrically induced strain without need for any external mechanical prestraining. Strains of up to 233% in terms of area expansion have been obtained at an electrical field of 300 MV m–1. These new electroelastomers may have applications as actuators (see figure) and artificial muscles.
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Citations
Cites
Introduction to Physical Polymer Science
Sperling, L. H. (2005) · doi:10.1002/0471757128 · Cited by 2,917
Cited by
Stimulus-responsive hydrogels: theory, modern advances, and applications
Koetting, M. C., Peters, J. T., Steichen, S. D., & Peppas, N. A. (2015) · Materials Science and Engineering: R: Reports · doi:10.1016/j.mser.2015.04.001 · Cited by 1,191
Method to analyze electromechanical stability of dielectric elastomers
Zhao, X., & Suo, Z. (2007) · Applied Physics Letters · doi:10.1063/1.2768641 · Cited by 470
A high speed soft robot based on dielectric elastomer actuators
Duduta, M., Clarke, D. R., & Wood, R. J. (2017) · 2017 IEEE International Conference on Robotics and Automation (ICRA) · doi:10.1109/icra.2017.7989501 · Cited by 161
Metadata
- Authors
- Ha, S. M., Yuan, W., Pei, Q., Pelrine, R., & Stanford, S.
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2006-03-24
- Volume
- 18
- Issue
- 7
- Pages
- 887-891
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W2064271893
- Cited by
- 298
- References
- 1
- FWCI
- 5.85
- Type
- journal article
- Language
- en
- Open access
- closed
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- Ha, S. M., Yuan, W., Pei, Q., Pelrine, R., & Stanford, S. (2006). Interpenetrating Polymer Networks for High‐Performance Electroelastomer Artificial Muscles. Advanced Materials. https://doi.org/10.1002/adma.200502437
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
