Electromechanical Model of Dielectric Elastomer Transducers

Research output: Contribution to book/conference proceedings/anthology/reportConference contributionContributedpeer-review


Dielectric Elastomers (DE) considered as smart materials have increasing popularity in the scientific community. Despite a multitude of presented applications and devises based on DE, there is no standard model to describe them as transducers. Thus, their design is in general often time-consuming. To describe the operational behavior, mostly material equations describing the materials energy state through strain and stress are utilized. The driving mechanism is expressed through the commonly known Maxwell-pressure which is the result of the energy balance. This often-used approach is sufficient for quasistatic applications.Yet when considering the dynamic regime, a description of the locally effective directional forces is necessary. We propose an expansion to the existing modelling approach. Deepening the view on force mechanisms of electrostatic actuators and incorporating the solid body properties of elastomers into consideration. Thus, we gain a network description for dielectric elastomers as reversible electromechanical transducers near an operating point. The network model, allows for a sped-up design and simulation process, especially in the development of dynamic applications. Our findings are supported findings from previous literature and FEM-simulations.


Original languageEnglish
Title of host publicationASME 2022 Conference on Smart Materials, Adaptive Structures and Intelligent Systems
PublisherThe American Society of Mechanical Engineers(ASME)
Number of pages10
ISBN (electronic)978-0-7918-8627-4
Publication statusPublished - 12 Sept 2022

Publication series

SeriesProceedings of the ASME Conference on Smart Materials, Adaptive Structures, and Intelligent Systems


Title ASME 2022 Conference on Smart Materials, Adaptive Structures and Intelligent Systems
Abbreviated titleSMASIS2022
Conference number
Duration12 - 14 September 2022
Degree of recognitionInternational event
CountryUnited States of America

External IDs

Scopus 85143173815
ORCID /0000-0002-8588-9755/work/142246795
ORCID /0000-0002-0803-8818/work/142257154
ORCID /0009-0007-5022-0975/work/159605230



  • DEA, EAP, actuators, analog network description, artificial muscle, dielectric, dynamic, elastomer, electromechanical network, electrostatic, polymers, roll actuator, transducer

Library keywords