Evidence map›Paper›PMID 31323744›Full record

ArticlePolymers2019

Electroactive Textile Actuators for Breathability Control and Thermal Regulation Devices.

Chaoqun Xiang, Jianglong Guo, Rujie Sun, Andrew Hinitt, Tim Helps, Majid Taghavi, Jonathan Rossiter

Abstract read
In one paragraph

Article in Polymers, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

7 authors.

Chaoqun XiangSoftLab, Bristol Robotics Laboratory, University of Bristol, Bristol BS16 1QY, UK.ORCID 0000-0001-6357-806X
Jianglong GuoSoftLab, Bristol Robotics Laboratory, University of Bristol, Bristol BS16 1QY, UK. j.guo@bristol.ac.uk.ORCID 0000-0002-9997-6059
Rujie SunBristol Composites Institute (ACCIS), University of Bristol, Bristol BS8 1TR, UK.
Andrew HinittSoftLab, Bristol Robotics Laboratory, University of Bristol, Bristol BS16 1QY, UK.
Tim HelpsSoftLab, Bristol Robotics Laboratory, University of Bristol, Bristol BS16 1QY, UK.
Majid TaghaviSoftLab, Bristol Robotics Laboratory, University of Bristol, Bristol BS16 1QY, UK.
Jonathan RossiterSoftLab, Bristol Robotics Laboratory, University of Bristol, Bristol BS16 1QY, UK.

Funding

EPSRC EP/M020460/1EPSRC EP/M026388/1EPSRC EP/R02961X/1the Royal Academy of Engineering the Royal Academy of Engineering as a RAEng Chair in Emerging Technologies
6 · The paper itself

Abstract

Smart fabrics offer the potential for a new generation of soft robotics and wearable technologies through the fusion of smart materials, textiles and electrical circuitries. Conductive and stretchable textiles have inherent compliance and low resistance that are suitable for driving artificial muscle actuators and are potentially safer electrode materials for soft actuation technologies. We demonstrate how soft electroactive actuating structures can be designed and fabricated from conducting textiles. We first quantitatively analyse a range of stretchable conductive textiles for dielectric elastomer actuators (DEAs). We found that conductive-knit textiles are more suitable for unidirectional DEA applications due to the largest difference (150%) in principle strain axes, whereas isotropic textiles are more suited to bidirectional DEA applications due to the smallest (11.1%) principle strain difference. Finally, we demonstrate controllable breathability through a planar e-textile DEA-driven skin and show thermal regulation in a wearable prototype that exploits soft actuation and kirigami.

Indexed as

breathabilityconductive textiledielectric elastomer actuatorwearable device

Identifiers

PMID31323744
PMCPMC6680543

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.