Evidence map›Paper›PMID 36904336›Full record

ArticlePolymers2023

Comparative Evaluation of the Stiffness of Abaca-Fiber-Reinforced Bio-Polyethylene and High Density Polyethylene Composites.

Faust Seculi, Francesc X Espinach, Fernando Julián, Marc Delgado-Aguilar, Pere Mutjé, Quim Tarrés

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Article in Polymers, 2023. 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
–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

3 citing papers in PubMed.

  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

6 authors.

Faust SeculiLEPAMAP-PRODIS Research Group, University of Girona, 17003 Girona, Spain.
Francesc X EspinachLEPAMAP-PRODIS Research Group, University of Girona, 17003 Girona, Spain.ORCID 0000-0002-6635-0260
Fernando JuliánLEPAMAP-PRODIS Research Group, University of Girona, 17003 Girona, Spain.ORCID 0000-0003-3230-0588
Marc Delgado-AguilarLEPAMAP-PRODIS Research Group, University of Girona, 17003 Girona, Spain.ORCID 0000-0002-1540-3326
Pere MutjéLEPAMAP-PRODIS Research Group, University of Girona, 17003 Girona, Spain.
Quim TarrésLEPAMAP-PRODIS Research Group, University of Girona, 17003 Girona, Spain.ORCID 0000-0002-7021-2055

Funding

Ministerio de Ciencia e Innovación (España) TED2021-1310398-C33
6 · The paper itself

Abstract

The use of bio-based matrices together with natural fibers as reinforcement is a strategy for obtaining materials with competitive mechanical properties, costs, and environmental impacts. However, bio-based matrices, unknown by the industry, can be a market entry barrier. The use of bio-polyethylene, which has properties similar to polyethylene, can overcome that barrier. In this study, composites reinforced with abaca fibers used as reinforcement for bio-polyethylene and high density polyethylene are prepared and tensile tested. A micromechanics analysis is deployed to measure the contributions of the matrices and reinforcements and to measure the evolution of these contributions regarding AF content and matrix nature. The results show that the mechanical properties of the composites with bio-polyethylene as a matrix were slightly higher than those of the composites with polyethylene as a matrix. It was also found that the contribution of the fibers to the Young's moduli of the composites was susceptible to the percentage of reinforcement and the nature of the matrices. The results show that it is possible to obtain fully bio-based composites with mechanical properties similar to those of partially bio-based polyolefin or even some forms of glass fiber-reinforced polyolefin.

Indexed as

biopolymersintrinsic propertiesmicromechanicsnatural fibersstiffness

Identifiers

PMID36904336
PMCPMC10006884

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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.