Please use this identifier to cite or link to this item: doi:10.22028/D291-38796
Title: Effects of Electrode Materials and Compositions on the Resistance Behavior of Dielectric Elastomer Transducers
Author(s): Willian, Tobias Pascal
Fasolt, Bettina
Motzki, Paul
Rizzello, Gianluca
Seelecke, Stefan
Language: English
Title: Polymers
Volume: 15
Issue: 2
Publisher/Platform: MDPI
Year of Publication: 2023
Free key words: dielectric elastomer
material characterization
carbon black
electrical resistance
flexible electrodes
DDC notations: 500 Science
Publikation type: Journal Article
Abstract: Dielectric elastomer (DE) transducers possess various advantages in comparison to alternative actuator technologies, such as, e.g., electromagnetic drive systems. DE can achieve large deformations, high driving frequencies, and are energy efficient. DEs consist of a dielectric membrane sandwiched between conductive electrodes. Electrodes are especially important for performance, as they must maintain high electrical conductivity while being subjected to large stretches. Low electrical resistances allow faster actuation frequencies. Additionally, a rate-independent, monotonic, and hysteresis-free resistance behavior over large elongations enables DEs to be used as resistive deformation sensors, in contrast to the conventional capacitive ones. This paper presents a systematic study on various electrode compositions consisting of different polydimethylsiloxane (PDMS) and nano-scaled carbon blacks (CB). The experiments show that the electrode resistance depends on the weight ratio of CB to PDMS, and the type of CB used. At low ratios, a high electrical resistance accompanied by a bimodal behavior in the resistance time evolution was observed, when stretching the electrodes cyclic in a triangular manner. This phenomenon decreases with increasing CB ratio. The type of PDMS also influences the resistance characteristics during elongation. Finally, a physical model of the observed phenomenon is presented.
DOI of the first publication: 10.3390/polym15020310
URL of the first publication:
Link to this record: urn:nbn:de:bsz:291--ds-387961
ISSN: 2073-4360
Date of registration: 23-Jan-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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