Evidence map›Paper›PMID 36616358›Full record

ArticlePolymers2022

Self-Monitoring Performance of 3D-Printed Poly-Ether-Ether-Ketone Carbon Nanotube Composites.

Lorenzo Paleari, Mario Bragaglia, Francesco Fabbrocino, Raimondo Luciano, Francesca Nanni

Open access · goldAbstract read
In one paragraph

Article in Polymers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 29% 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

3 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. 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 at 3 institutions in 1 country.

Lorenzo PaleariDepartment of Enterprise Engineering Mario Lucertini, University of Rome Tor Vergata, and INSTM Research Unit Roma Tor Vergata, via del Politecnico 1, 00133 Rome, Italy.ORCID 0000-0003-4859-8948
Mario BragagliaDepartment of Enterprise Engineering Mario Lucertini, University of Rome Tor Vergata, and INSTM Research Unit Roma Tor Vergata, via del Politecnico 1, 00133 Rome, Italy.ORCID 0000-0002-5921-0884
Francesco FabbrocinoDepartment of Engineering, Pegaso Telematic University, 80143 Naples, Italy.ORCID 0000-0001-8712-1048
Raimondo LucianoDepartment of Engineering, University of Naples Partenope, 80133 Naples, Italy.
Francesca NanniDepartment of Enterprise Engineering Mario Lucertini, University of Rome Tor Vergata, and INSTM Research Unit Roma Tor Vergata, via del Politecnico 1, 00133 Rome, Italy.ORCID 0000-0002-0484-8637
University of Rome Tor Vergata · ITParthenope University of Naples · ITPegaso University · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper, poly-ether-ether-ketone (PEEK) carbon-nanotube (CNT) self-monitoring composites at different levels of filler loading (i.e., 3, 5 and 10% by weight) have been extruded as 3D-printable filaments, showing gauge factor values of 14.5, 3.36 and 1.99, respectively. CNT composite filaments of 3 and 5 wt% were 3D-printed into tensile samples, while the PEEK 10CNT filament was found to be barely printable. The 3D-printed PEEK 3CNT and PEEK 5CNT composites presented piezo-resistive behavior, with an increase in electrical resistance under mechanical stress, and showed an average gauge factor of 4.46 and 2.03, respectively. Mechanical tests highlighted that 3D-printed samples have a laminate-like behavior, presenting ultimate tensile strength that is always higher than 60 MPa, hence they offer the possibility to detect damages in an orthogonal direction to the applied load wit high sensitivity.

Indexed as

carbon nanotubesfused filament fabricationpoly-ether-ether-ketoneself-monitoring composites

Identifiers

PMID36616358
PMCPMC9823479
OpenAlexW4312186622

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.