Evidence map›Paper›PMID 40574177›Full record

ArticlePolymers2025

The Influence of the Manufacturing Technology on the Mechanical Properties of Woven Jute Fiber-Reinforced Epoxy Composites.

Radu Negru, Alexandru-Viorel Coșa, Adrian Ianto, Bogdan Tătar, Robert-Cătălin Sîrbu, Dan-Andrei Șerban

Abstract read
In one paragraph

Article in Polymers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Radu NegruDepartment of Mechanics and Strength of Materials, Politehnica University Timișoara, 300006 Timișoara, Romania.ORCID 0000-0002-5793-3536
Alexandru-Viorel CoșaDepartment of Materials and Manufacturing Engineering, Politehnica University Timișoara, 300006 Timișoara, Romania.
Adrian IantoDepartment of Mechanical Machines and Transportation, Politehnica University Timișoara, 300006 Timișoara, Romania.
Bogdan TătarDepartment of Materials and Manufacturing Engineering, Politehnica University Timișoara, 300006 Timișoara, Romania.
Robert-Cătălin SîrbuDepartment of Mechatronics, Politehnica University Timișoara, 300006 Timișoara, Romania.
Dan-Andrei ȘerbanDepartment of Mechatronics, Politehnica University Timișoara, 300006 Timișoara, Romania.ORCID 0000-0002-1218-1756

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this work, the mechanical properties of jute fiber-reinforced polymers were investigated, considering two manufacturing technologies-wet layups and vacuum-assisted resin infusion-with the aim of developing cost-effective composite materials based on natural fibers. In the manufacturing process, two different types of resins were used, specific to each technology. Specimens measuring 25 mm × 200 mm were cut from the resulting laminates at three orientations (0°, 45° and 90° with respect with the weft orientation), and they were subjected to tensile tests. The results showed that resin infusion yielded superior stiffness and strength values when compared to the wet layup. Multi-scale modeling techniques were applied in order to estimate the properties of the fibers and evaluate the orthotropic properties of the composites, and virtual material models that included orthotropic elasticity and the anisotropic Hill plasticity formulation were developed and evaluated, managing to reproduce the experimental data using finite element analyses with decent accuracy.

Indexed as

jute fibersmechanical propertiesmulti-scale modelingtensile testsvacuum-assisted resin infusionwet layupwoven fiber composites

Identifiers

PMID40574177
PMCPMC12196571

What OpenQuestion holds

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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.