Issue 61, 2015

Dielectric elastomers, with very high dielectric permittivity, based on silicone and ionic interpenetrating networks

Abstract

Dielectric elastomers (DEs), which represent an emerging actuator and generator technology, admittedly have many favourable properties, but their high driving voltages are one of the main obstacles to commercialisation. One way to reduce driving voltage is by increasing the ratio between dielectric permittivity and the Young's modulus of the elastomer. One system that potentially achieves this involves interpenetrating polymer networks (IPNs), based on commercial silicone elastomers and ionic networks from amino- and carboxylic acid-functional silicones. The applicability of these materials as DEs is demonstrated herein, and a number of many and important parameters, such as dielectric permittivity/loss, viscoelastic properties and dielectric breakdown strength, are investigated. Ionic and silicone elastomer IPNs are promising prospects for dielectric elastomer actuators, since very high permittivities are obtained while dielectric breakdown strength and Young's modulus are not compromised. These good overall properties stem from the softening effect and very high permittivity of ionic networks – as high as ε′ = 7500 at 0.1 Hz – while the silicone elastomer part of the IPN provides mechanical integrity as well as relatively high breakdown strength. All IPNs have higher dielectric losses than pure silicone elastomers, but when accounting for this factor, IPNs still exhibit satisfactory performance improvements.

Graphical abstract: Dielectric elastomers, with very high dielectric permittivity, based on silicone and ionic interpenetrating networks

Article information

Article type
Paper
Submitted
23 Apr 2015
Accepted
29 May 2015
First published
29 May 2015
This article is Open Access
Creative Commons BY license

RSC Adv., 2015,5, 49739-49747

Author version available

Dielectric elastomers, with very high dielectric permittivity, based on silicone and ionic interpenetrating networks

L. Yu, F. B. Madsen, S. Hvilsted and A. L. Skov, RSC Adv., 2015, 5, 49739 DOI: 10.1039/C5RA07375H

This article is licensed under a Creative Commons Attribution 3.0 Unported Licence. You can use material from this article in other publications without requesting further permissions from the RSC, provided that the correct acknowledgement is given.

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