Please use this identifier to cite or link to this item: doi:10.22028/D291-29777
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Title: Performance Prediction and Scaling Laws of Circular Dielectric Elastomer Membrane Actuators
Author(s): Hau, Steffen
York, Alexander
Rizzello, Gianluca
Seelecke, Stefan
Language: English
Title: Journal of mechanical design
Volume: 140
Issue: 11
Startpage: 1
Endpage: 12
Publisher/Platform: American Society of Mechanical Engineers
Year of Publication: 2018
Publikation type: Journal Article
Abstract: For a number of emerging mechatronics applications, dielectric elastomers (DEs) appear as a more energy efficient, lightweight, and low-cost solution with respect to established actuation technologies based, e.g., on solenoids or pneumatic cylinders. In addition to large strain, low power consumption, and high flexibility, DE actuators (DEA) are also highly scalable. Since DE membranes can be easily manufactured in different sizes and shapes, an effective approach to scale their performance is based on properly designing the material geometry. Clearly, to perform an optimal scaling the relation between material geometry and performance has to be properly investigated. In this paper, performance scaling by means of geometry is studied for circular out-of-plane (COP) DEAs. Such actuators consist of a silicone elastomer membrane sandwiched between two electrodes (carbon black silicone mixture). DEAs with six different geometries are manufactured, and a model-based strategy is used to find an experimental relationship between geometry and electro-mechanical behavior. In addition, an effective and computationally efficient method for predicting force–displacement characteristics of different geometries is presented. The proposed method allows to easily adapt DEAs to different applications in terms of stroke and force requirement, while minimizing at the same time both characterization and prototyping effort.
DOI of the first publication: 10.1115/1.4039104
URL of the first publication: https://asmedigitalcollection.asme.org/mechanicaldesign/article-abstract/140/11/113501/366182/Performance-Prediction-and-Scaling-Laws-of?redirectedFrom=fulltext
Link to this record: hdl:20.500.11880/28183
http://dx.doi.org/10.22028/D291-29777
ISSN: 1528-9001
1050-0472
Date of registration: 24-Oct-2019
Faculty: NT - Naturwissenschaftlich- Technische Fakultät
Department: NT - Systems Engineering
Professorship: NT - Prof. Dr. Stefan Seelecke
Collections:UniBib – Die Universitätsbibliographie

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