2015
DOI: 10.1002/polb.23761
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The role of material behavior in the performances of electroactive polymer energy harvesters

Abstract: Electroactive polymer energy harvesters are promising devices for the conversion of mechanical work to electrical energy. The performances of these devices are strongly dependent on the mechanical response of the polymeric material and on the type of electromechanical cycle, and these are limited by the occurrence of dielectric breakdown, compression induced wrinkling and electromechanical instability (pull-in). To identify the optimal electromechanical cycle that complies with all of these limitations, we set… Show more

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Cited by 14 publications
(4 citation statements)
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“…The electric breakdown strength for VHB 4905 used for this analysis is, 150MV/m [28]. This is equivalent to a value of 4.232 when non-dimensionalized using E ffiffiffiffiffiffiffi ε=μ p…”
Section: Electric Breakdownmentioning
confidence: 99%
“…The electric breakdown strength for VHB 4905 used for this analysis is, 150MV/m [28]. This is equivalent to a value of 4.232 when non-dimensionalized using E ffiffiffiffiffiffiffi ε=μ p…”
Section: Electric Breakdownmentioning
confidence: 99%
“…The electromechanical behavior of thin dielectric elastomers, together with the type and order of instabilities affecting their performances, is fundamentally different in voltage and in charge controlled systems. Shedding light onto such divide is important for the design of dielectric elastomers in applications like sensing, actuation, energy harvesting and on-demand patterning [1][2][3].…”
Section: Introductionmentioning
confidence: 99%
“…In this investigation, the generalized neo-Hookean material modelColonnelli et al (2015);Luo et al (2020) is used to describe the hyperelastic response of the membrane. However, this choice is not restrictive and the analysis presented here can easily be extended for assessing the effect of other models of hyperelasticity, such as Mooney-Rivlin Joglekar (2014); Soares et al (2020), YeohChen et al (2018); Wissler and Mazza (2005), Gent Zhang and Chen (2020); Zhang et al (2018); Zhou et al (2018) and Arruda-Boyce Park et al (2012), etc.…”
mentioning
confidence: 99%