Please use this identifier to cite or link to this item: doi:10.22028/D291-30891
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Title: Fast model-based design of large stroke dielectric elastomer membrane actuators biased with pre-stressed buckled beams
Author(s): Seelecke, Stefan
Rizzello, Gianluca
Hau, Steffen
Loew, Philipp
Bruch, Daniel
Editor(s): Bar-Cohen, Yoseph
Language: English
Title: Electroactive Polymer Actuators and Devices (EAPAD) XX
Pages: 8
Publisher/Platform: SPIE
Year of Publication: 2018
Title of the Conference: SPIE Smart Structures and Materials + Nondestructive Evaluation 2018
Place of the conference: Denver, Colorado, United States
Publikation type: Conference Paper
Abstract: Dielectric Elastomer Actuators (DEAs) represent a promising alternative technology for common small- and micro-drives, due to their lightweight, high energy density, high design flexibility, and silent operations. In order to obtain a stroke, membrane DEAs need to be preloaded with mechanical biasing elements. The use of negative stiffness mechanisms results in a relatively large stroke, in comparison with conventional biasing systems based on masses or linear springs. Centrally loaded, pre-stressed buckled beams show this negative stiffness behavior in a well-defined range. In particular, their force-displacement characteristics is highly nonlinear and depends on the beam geometry and axial pre-compression. This paper provides a fast model-based design approach for large stroke DEA systems biased with pre-stressed and centrally loaded buckled beams. The method is based on a Finite Element model of a buckled beam, implemented in COMSOL Multiphysics®. Large deformations are considered in order to accurately design compact DEA systems with highly compressed beams. Stroke optimization is achieved by combining nonlinear beam elements with linear spring mechanisms. This method allows the calculation of the required beam geometry and pre-compression in order to achieve the desired characteristics of the preloading mechanism. The proposed methodology is validated by numerous simulations.
DOI of the first publication: 10.1117/12.2296558
URL of the first publication:
Link to this record: hdl:20.500.11880/29111
ISBN: 978-1-5106-1685-1
Date of registration: 11-May-2020
Notes: Proceedings of SPIE ; volume 10594
Faculty: NT - Naturwissenschaftlich- Technische Fakultät
Department: NT - Systems Engineering
Professorship: NT - Prof. Dr. Stefan Seelecke
Collections:Die Universitätsbibliographie

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