Evidence map›Paper›PMID 38399906›Full record

ArticlePolymers2024

Degradation of Mechanical Properties of Flax/PLA Composites in Hygrothermal Aging Conditions.

Liujiao Wang, Juana Abenojar, Miguel A Martínez, Carlos Santiuste

Open access · goldAbstract read
In one paragraph

Article in Polymers, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

9 citing papers in PubMed, 19 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 1 institution in 1 country.

Liujiao WangContinuum Mechanics and Structural Analysis Department, Carlos III University of Madrid, Av. Universidad, 30, 28911 Leganes, Spain.ORCID 0000-0001-5890-1387
Juana AbenojarScience and Engineering Materials Department, Carlos III University of Madrid, Av. Universidad, 30, 28911 Leganes, Spain.ORCID 0000-0003-3248-4532
Miguel A MartínezScience and Engineering Materials Department, Carlos III University of Madrid, Av. Universidad, 30, 28911 Leganes, Spain.ORCID 0000-0001-6345-3443
Carlos SantiusteContinuum Mechanics and Structural Analysis Department, Carlos III University of Madrid, Av. Universidad, 30, 28911 Leganes, Spain.ORCID 0000-0002-2011-2769
Universidad Carlos III de Madrid · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The main advantage of green composites is their biodegradability, but this biodegradability can also be considered a drawback if the degradation appears during the service life of the component. Therefore, the study of the mechanical behavior of green composites after hygrothermal aging tests is necessary to analyze their degradation process. This study aims to comprehensively analyze the hygrothermal aging behavior and aging mechanism of flax-fiber-reinforced polylactic acid (PLA) biocomposites. The fully biodegradable composites are manufactured by compression molding. In addition, the influence of atmospheric-pressure plasma treatment on the mechanical properties of the biocomposite is studied. Specimens are exposed to water vapor and 40 °C environmental conditions in a stove for up to 42 days. Several specimens of each type are taken out at regular intervals and tested to examine the water absorption, mechanical properties, and thermal characterization. The results show that the stiffness was significantly reduced after 24 h due to matrix degradation, while the strength was reduced only after three weeks.

Indexed as

biocompositehygrothermal aging testmechanical propertiesplasma treatment

Identifiers

PMID38399906
PMCPMC10892236
OpenAlexW4391839706

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.