Evidence map›Paper›PMID 35525864›Full record

ArticleScientific reports2022

Electromagnetic field controlled domain wall displacement for induced strain tailoring in BaTiO

Danning Li, James Barrington, Stephen James, David Ayre, Marcin Słoma, Meng-Fang Lin, Hamed Yazdani Nezhad

Abstract read
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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Danning LiEnhanced Composites and Structures Centre, School of Aerospace, Transport and Manufacturing, Cranfield University, Cranfield, UK. danning.li@cranfield.ac.uk.
James BarringtonCentre for Engineering Photonics, School of Aerospace, Transport and Manufacturing, Cranfield University, Cranfield, UK.
Stephen JamesCentre for Engineering Photonics, School of Aerospace, Transport and Manufacturing, Cranfield University, Cranfield, UK.
David AyreEnhanced Composites and Structures Centre, School of Aerospace, Transport and Manufacturing, Cranfield University, Cranfield, UK.
Marcin SłomaFaculty of Mechatronics, Warsaw University of Technology, Warsaw, Poland.
Meng-Fang LinDepartment of Materials Engineering, Ming Chi University of Science and Technology, New Taipei, Taiwan.
Hamed Yazdani NezhadEnhanced Composites and Structures Centre, School of Aerospace, Transport and Manufacturing, Cranfield University, Cranfield, UK. hamed.yazdani@city.ac.uk.

Funding

Engineering and Physical Sciences Research Council EP/R016828/1Fundacja na rzecz Nauki Polskiej TEAM/2016-1/7
6 · The paper itself

Abstract

Failure in an epoxy polymer composite material is prone to initiate by the coalescence of microcracks in its polymer matrix. As such, matrix toughening via addition of a second phase as rigid or/and rubber nano/micro-particles is one of the most popular approaches to improve the fracture toughness across multiple scales in a polymer composite, which dissipates fracture energy via deformation mechanisms and microcracks arrest. Few studies have focused on tailorable and variable toughening, so-called 'active toughening', mainly suggesting thermally induced strains which offer slow and irreversible toughening due to polymer's poor thermal conductivity. The research presented in the current article has developed an instantaneous, reversible extrinsic strain field via remote electromagnetic radiation. Quantification of the extrinsic strain evolving in the composite with the microwave energy has been conducted using in-situ real-time fibre optic sensing. A theoretical constitutive equation correlating the exposure energy to micro-strains has been developed, with its solution validating the experimental data and describing their underlying physics. The research has utilised functionalised dielectric ferroelectric nanomaterials, barium titanate (BaTiO

Identifiers

PMID35525864
PMCPMC9079120

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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.