Evidence map›Paper›PMID 35773415›Full record

ArticleScientific reports2022

Smart textiles using fluid-driven artificial muscle fibers.

Phuoc Thien Phan, Mai Thanh Thai, Trung Thien Hoang, James Davies, Chi Cong Nguyen, Hoang-Phuong Phan, Nigel H Lovell, Thanh Nho Do

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Encoded sewing soft textile robots.Science advances · 2024
    Article
  11. Article
  12. Advanced Soft Robotic System for In Situ 3D Bioprinting and Endoscopic Surgery.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Article
  13. Article
  14. Review
  15. 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

8 authors.

Phuoc Thien PhanGraduate School of Biomedical Engineering, Faculty of Engineering, University of New South Wales (UNSW), Sydney, NSW, 2052, Australia.
Mai Thanh ThaiGraduate School of Biomedical Engineering, Faculty of Engineering, University of New South Wales (UNSW), Sydney, NSW, 2052, Australia.
Trung Thien HoangGraduate School of Biomedical Engineering, Faculty of Engineering, University of New South Wales (UNSW), Sydney, NSW, 2052, Australia.
James DaviesGraduate School of Biomedical Engineering, Faculty of Engineering, University of New South Wales (UNSW), Sydney, NSW, 2052, Australia.
Chi Cong NguyenGraduate School of Biomedical Engineering, Faculty of Engineering, University of New South Wales (UNSW), Sydney, NSW, 2052, Australia.
Hoang-Phuong PhanSchool of Mechanical and Manufacturing Engineering, Faculty of Engineering, University of New South Wales (UNSW), Sydney, NSW, 2052, Australia.
Nigel H LovellGraduate School of Biomedical Engineering, Faculty of Engineering, University of New South Wales (UNSW), Sydney, NSW, 2052, Australia.
Thanh Nho DoGraduate School of Biomedical Engineering, Faculty of Engineering, University of New South Wales (UNSW), Sydney, NSW, 2052, Australia. tn.do@unsw.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The marriage of textiles with artificial muscles to create smart textiles is attracting great attention from the scientific community and industry. Smart textiles offer many benefits including adaptive comfort and high conformity to objects while providing active actuation for desired motion and force. This paper introduces a new class of programmable smart textiles created from different methods of knitting, weaving, and sticking fluid-driven artificial muscle fibers. Mathematical models are developed to describe the elongation-force relationship of the knitting and weaving textile sheets, followed by experiments to validate the model effectiveness. The new smart textiles are highly flexible, conformable, and mechanically programmable, enabling multimodal motions and shape-shifting abilities for use in broader applications. Different prototypes of the smart textiles are created with experimental validations including various shape-changing instances such as elongation (up to 65%), area expansion (108%), radial expansion (25%), and bending motion. The concept of reconfiguring passive conventional fabrics into active structures for bio-inspired shape-morphing structures is also explored. The proposed smart textiles are expected to contribute to the progression of smart wearable devices, haptic systems, bio-inspired soft robotics, and wearable electronics.

Indexed as

RoboticsWearable Electronic DevicesElectronicsMuscle Fibers, SkeletalTextiles

Identifiers

PMID35773415
PMCPMC9247081

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.