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Finite element modeling for dielectric elastomer actuators (DEA)

Authors: LAMPANI, LUCA; GAUDENZI, Paolo;

Finite element modeling for dielectric elastomer actuators (DEA)

Abstract

A special sensor/actuator device based on dielectric elastomer (DEA) was studied and specialized to be used in applications for the space in the frame of the European Space Agency. The work illustrates the research project modeling procedure adopted to simulate the mechanical behavior of this material based on a finite element theory approach. The Mooney-Rivlin's hyperelastic and Maxwell's electrostatic models provide the theoretical basis to describe its electro-mechanic behavior. The validation of the procedure is performed through a numerical-experimental correlation between the response of two prototypes of sensor/actuator developed by the Risø Danish research center and the 3D finite element model simulations. An investigation concerning a possible application in the space environment of DEA actuators is also presented.

Country
Italy
Related Organizations
Keywords

Actuator; DEA; Dielectric elastomer; EAP; Finite element; Aerospace Engineering; Control and Systems Engineering; Electrical and Electronic Engineering; Computer Science Applications1707 Computer Vision and Pattern Recognition

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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