Evidence map›Paper›PMID 36679190›Full record

ArticlePolymers2023

Effects of Electrode Materials and Compositions on the Resistance Behavior of Dielectric Elastomer Transducers.

Tobias Pascal Willian, Bettina Fasolt, Paul Motzki, Gianluca Rizzello, Stefan Seelecke

Abstract read
In one paragraph

Article in Polymers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Tobias Pascal WillianDepartment of Systems Engineering, Saarland University, 66123 Saarbrücken, Germany.ORCID 0000-0002-2571-7804
Bettina FasoltCenter for Mechatronics and Automation Technologies (ZeMA) gGmbH, 66121 Saarbrücken, Germany.
Paul MotzkiDepartment of Systems Engineering, Saarland University, 66123 Saarbrücken, Germany.ORCID 0000-0001-9903-2018
Gianluca RizzelloDepartment of Systems Engineering, Saarland University, 66123 Saarbrücken, Germany.ORCID 0000-0002-7017-698X
Stefan SeeleckeDepartment of Systems Engineering, Saarland University, 66123 Saarbrücken, Germany.ORCID 0000-0003-1018-247X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

carbon blackdielectric elastomerelectrical resistanceflexible electrodesmaterial characterizationPDMS

Identifiers

PMID36679190
PMCPMC9861283

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.