Evidence map›Paper›PMID 37809927›Full record

ArticleHeliyon2023

Development of nanoparticle-filled polypropylene-based single polymer composite foams.

Ákos Görbe, László József Varga, Tamás Bárány

Abstract read
In one paragraph

Article in Heliyon, 2023. 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.

Ákos GörbeDepartment of Polymer Engineering, Faculty of Mechanical Engineering, Budapest University of Technology and Economics, Műegyetem rkp. 3., H-1111 Budapest, Hungary.
László József VargaDepartment of Polymer Engineering, Faculty of Mechanical Engineering, Budapest University of Technology and Economics, Műegyetem rkp. 3., H-1111 Budapest, Hungary.
Tamás BárányDepartment of Polymer Engineering, Faculty of Mechanical Engineering, Budapest University of Technology and Economics, Műegyetem rkp. 3., H-1111 Budapest, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, our focus was on developing and investigating nanoparticle-filled polypropylene-based single polymer composite foams. These composites had porous and nanotube-reinforced matrices, with plain woven polypropylene (PP) fabric as reinforcement. Our main objective was to enhance the energy absorption and stiffness of the single polymer composites (SPCs) by modifying their matrices. We produced SPCs with two different matrices: one of amorphous poly-alpha-olefin (APAO) and one of thermoplastic elastomer (TPE) blended with APAO. We observed that the APAO matrix exhibited better impregnation of the fabric due to its low viscosity, while the composites with the TPE matrix showed significantly better tensile properties. The foaming process applied to the matrices resulted in a substantial increase in energy absorption for the SPCs, while preserving their tensile properties relative to their density. Scanning electron microscope images confirmed that foaming of the APAO matrix was notably more effective, primarily due to its low viscosity. Furthermore, we successfully enhanced the stiffness and tensile properties of the SPCs by nano-reinforcing the matrices with multi-wall carbon nanotubes (MWCNTs). Due to the size of the nanotubes, this reinforcement did not compromise the impact properties of the SPCs. Scanning electron microscope images also demonstrated improved dispersion of the nanotubes within the APAO matrices.

Indexed as

FoamingImpact propertiesMechanical propertiesNanocompositesSingle polymer composites (SPC)

Identifiers

PMID37809927
PMCPMC10558882

What OpenQuestion holds

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Registered trials

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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.