Evidence map›Paper›PMID 36616589›Full record

ArticlePolymers2023

Influence of Spinning Method on Shape Memory Effect of Thermoplastic Polyurethane Yarns.

Lukas Benecke, Robert Tonndorf, Chokri Cherif, Dilbar Aibibu

Open access · goldAbstract 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
1.0field-weighted citation impact, top 32% of its field
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, 9 citations in OpenAlex.

  1. Review
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

4 authors at 1 institution in 1 country.

Lukas BeneckeInstitute of Textile Machinery and High Performance Material Technology, Technische Universität Dresden, 01069 Dresden, Germany.ORCID 0000-0002-3198-5610
Robert TonndorfInstitute of Textile Machinery and High Performance Material Technology, Technische Universität Dresden, 01069 Dresden, Germany.ORCID 0000-0002-2379-2245
Chokri CherifInstitute of Textile Machinery and High Performance Material Technology, Technische Universität Dresden, 01069 Dresden, Germany.
Dilbar AibibuInstitute of Textile Machinery and High Performance Material Technology, Technische Universität Dresden, 01069 Dresden, Germany.
Technische Universität Dresden · DE

Funding

Deutsche Forschungsgemeinschaft EXC 2050/1 - Project ID 390696704Federal Ministry for Economic Affairs and Climate Action 21022 BR
6 · The paper itself

Abstract

Shape memory polymers are gaining increasing attention, especially in the medical field, due to their ability to recover high deformations, low activation temperatures, and relatively high actuation stress. Furthermore, shape memory polymers can be applied as fiber-based solutions for the development of smart devices used in many fields, e.g., industry 4.0, medicine, and skill learning. These kind of applications require sensors, actors, and conductive structures. Textile structures address these applications by meeting requirements such as being flexible, adaptable, and wearable. In this work, the influence of spinning methods and parameters on the effect of shape memory polymer yarns was investigated, comparing melt and wet spinning. It is shown that the spinning method can significantly influence the strain fixation and generated stress during the activation of the shape memory effect. Furthermore, for wet spinning, the draw ratio could affect the stress conversion, influencing its efficiency. Therefore, the selection of the spinning process is essential for the setting of application-specific shape-changing properties.

Indexed as

fibermelt/wet spinningshape memory effectshape memory polymer

Identifiers

PMID36616589
PMCPMC9824155
OpenAlexW4313582861

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.