Evidence map›Paper›PMID 35890698›Full record

ArticlePolymers2022

On the Mechanical Performance of Polylactic Material Reinforced by Ceramic in Fused Filament Fabrication.

Lotfi Hedjazi, Sofiane Guessasma, Sofiane Belhabib, Nicolas Stephant

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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 28% 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

4 citing papers in PubMed, 13 citations in OpenAlex.

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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 3 institutions in 1 country.

Lotfi HedjaziESTP Campus de Troyes, 2 Rue Gustave Eiffel, F-10430 Rosières-prés-Troyes, France.
Sofiane GuessasmaINRAE, UR1268 Biopolymères Interactions Assemblages, F-44300 Nantes, France.ORCID 0000-0002-4412-473X
Sofiane BelhabibUniversité de Nantes, Oniris, CNRS, GEPEA, UMR 6144, F-44000 Nantes, France.
Nicolas StephantNantes Université, CNRS, Institut des Matériaux Jean Rouxel, IMN, F-44300 Nantes, France.
Centre National de la Recherche Scientifique · FRInstitut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement · FRUniversité de Technologie de Troyes · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study addresses the potential of using ceramics-based filaments as a feedstock material in an additive manufacturing process. Tensile specimens of PLA-ceramic (PLC) material are manufactured using a fused deposition modelling process, applying various printing parameters including printing angle and part orientation. Mechanical testing is performed on both the filaments and 3D-printed parts, and the related engineering quantities are derived. The experimental results show that PLC wire properties are substantially restored for the horizontal and lateral printing orientations, with only a 9% reduction in stiffness. In addition, a typical elastic-plastic response is achieved with these orientations, allowing the PLC to achieve excellent stiffness and elongation-at-break performance. The mechanical performance of the PLC is explained by the large proportion of continuous filaments along the loading direction. In addition, the printing angle is found to be a secondary factor allowing for layups at -45°/+45° and 0°/90°, resulting in the best tensile performance. The downside of using PLC is the lack of mechanical transfer, which is associated with weak interfacial behaviour and the inability to achieve high tensile strength.

Indexed as

3D printing parametersceramic particlesfused deposition modellingpolylactic acidtensile properties

Identifiers

PMID35890698
PMCPMC9321906
OpenAlexW4286214920

What OpenQuestion holds

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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.