Evidence map›Paper›PMID 41829349›Full record

ArticlePolymers2026

Tensile Behavior of Carbon Fibers Impregnated with Thermoplastics Using Coextrusion Technique.

Victor V Tcherdyntsev, Andrey A Stepashkin, Alnis A Veveris

Abstract read
In one paragraph

Article in Polymers, 2026. 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

3 authors.

Victor V TcherdyntsevLaboratory of Functional Polymer Materials, National University of Science and Technology "MISIS", Leninskii Prosp, 4, 119049 Moscow, Russia.ORCID 0000-0003-4357-4509
Andrey A StepashkinLaboratory of Functional Polymer Materials, National University of Science and Technology "MISIS", Leninskii Prosp, 4, 119049 Moscow, Russia.
Alnis A VeverisLaboratory of Functional Polymer Materials, National University of Science and Technology "MISIS", Leninskii Prosp, 4, 119049 Moscow, Russia.ORCID 0000-0002-7497-1112

Funding

Russian Science Foundation 24-19-00822
6 · The paper itself

Abstract

To increase printing speed and quality, a route consisting of using two sequential coextruders to form impregnated fiber immediately before feeding it to the printer. Such an approach, aimed at allowing the use of the most common industrial 12K carbon fibers for additive manufacturing, prevents damage to composite fibers during transportation, storage, and loading. An elaborate system was used to prepare carbon fibers impregnated with polypropylene, ethylene vinyl acetate, and their blends. The used scheme allows the production of composite fibers containing from 60 to 80 wt. % of carbon fibers. It was found that the elastic modulus of the composite fibers is close to those for raw carbon fibers and does not depend on the used polymer. It shows that the used carbon fiber path in the polymer melt and two sequential calibrating nozzles result in a high degree of orientation of the elementary filaments in the fiber at impregnation and maintain the elastic properties of the carbon fiber in the resulting composite. The tensile strength of the composite fibers depends on the polymer content in the composite fiber; the highest tensile strength was observed for fibers impregnated with ethylene vinyl acetate when increasing the coextrusion temperature up to 220 °C, which results in a composite fiber with a polymer content of 30 wt. %. A decrease in the polymer content in composite fibers results in a decrease in strength.

Indexed as

carbon fiberscoextrusionethylene vinyl acetateimpregnationpolypropylenetensile behavior

Identifiers

PMID41829349
PMCPMC12987277

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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.