Please use this identifier to cite or link to this item: doi:10.22028/D291-40470
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Title: Modeling and experimental validation of thin, tightly rolled dielectric elastomer actuators
Author(s): Prechtl, J.
Kunze, J.
Moretti, G.
Bruch, D.
Seelecke, S.
Rizzello, G.
Language: English
Title: Smart Materials and Structures
Volume: 31 (2022)
Issue: 1
Publisher/Platform: IOP Publishing
Year of Publication: 2021
DDC notations: 500 Science
Publikation type: Journal Article
Abstract: Due to their large deformation, high energy density, and high compliance, dielectric elastomer actuators (DEAs) have found a number of applications in several areas of mechatronics and robotics. Among the many types of DEAs proposed in the literature, rolled DEAs (RDEAs) represent one of the most popular configurations. RDEAs can be effectively used as compact muscle-like actuators for soft robots, since they allow eliminating the need for external motors or compressors while providing at the same time a flexible and lightweight structure with self-sensing capabilities. To effectively design and control complex RDEA-driven systems and robots, accurate and numerically efficient mathematical models need to be developed. In this work, we propose a novel lumped-parameter model for silicone-based, thin and tightly rolled RDEAs. The model is grounded on a free-energy approach, and permits to describe the electro-mechanically coupled response of the transducer with a set of nonlinear ordinary differential equations. After deriving the constitutive relationships, the model is validated by means of an extensive experimental campaign, conducted on three RDEA specimens having different geometries. It is shown how the developed model permits to accurately predict the effects of several parameters (external load, applied voltage, actuator geometry) on the RDEA electro-mechanical response, while maintaining an overall simple mathematical structure.
DOI of the first publication: 10.1088/1361-665X/ac34be
URL of the first publication: https://iopscience.iop.org/article/10.1088/1361-665X/ac34be
Link to this record: urn:nbn:de:bsz:291--ds-404705
hdl:20.500.11880/36358
http://dx.doi.org/10.22028/D291-40470
ISSN: 1361-665X
0964-1726
Date of registration: 1-Sep-2023
Faculty: NT - Naturwissenschaftlich- Technische Fakultät
Department: NT - Systems Engineering
Professorship: NT - Prof. Dr. Stefan Seelecke
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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