Evidence map›Paper›PMID 42589725›Full record

ArticlePolymers2026

Influence of Water Exposure on the Relaxation Behaviour of Short Fibre Reinforced Polycarbonate.

Pean-Yue Ben Jar, Jingchao Wang

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

2 authors.

Pean-Yue Ben JarDepartment of Mechanical Engineering, University of Alberta, Edmonton, AB T6G 1H9, Canada.ORCID 0000-0001-9569-6124
Jingchao WangDepartment of Mechanical Engineering, University of Alberta, Edmonton, AB T6G 1H9, Canada.

Funding

Natural Sciences and Engineering Research Council of Canada NSERC RGPIN-2022-03588 Jar
6 · The paper itself

Abstract

An approach based on a multi-relaxation (MR) test, in conjunction with a spring-dashpot model for data analysis, was employed to evaluate the influence of hydrothermal treatment at 65 °C on the viscous and quasi-static stress responses of polycarbonate (pure PC) and its short glass fibre composite (GF-PC) during the relaxation stages. The findings indicate that while this hydrothermal treatment did not affect the ductility of pure PC, it resulted in a significant ductility decrease in GF-PC. Furthermore, results from the modelling indicated that a parallel three-branch model was sufficient to simulate the stress decay during the relaxation stages of pure PC, but an additional branch (designated as the M-branch) was required for GF-PC. The study also found that for GF-PC, the hydrothermal treatment led to a distinct increase in the viscous stress response of the M-branch, but not in the other two viscous branches. This phenomenon is believed to stem from the coexistence of two types of PC matrix in GF-PC: one influenced by the presence of fibres and the other unaffected. Without the hydrothermal treatment, both types of PC matrix exhibit a similar deformation-dependence (based on stroke of the test machine) in their stress response; however, because the hydrothermal treatment affects the strength at the fibre-matrix interface, the stress responses of the two matrix types differ during relaxation. Consequently, the M-branch is believed to capture the altered stress response of the fibre-influenced PC matrix. The study concludes that under the investigated hydrothermal conditions, the reinforcing effect of the short fibre on the mechanical strength of GF-PC could be lost. Therefore, the addition of short glass fibre does not inherently guarantee mechanical reinforcement of PC.

Indexed as

hydrothermal treatmentmechanical testingpolycarbonateshort glass fibrespring-dashpot modelling

Identifiers

PMID42589725
PMCPMC13467777

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.