Evidence map›Paper›PMID 42795192›Full record

ArticleMaterials (Basel, Switzerland)2026

Pre-Impregnated Powder Coatings with a Thermoplastic Matrix for Use in Fibre-Reinforced Polymer Sandwich Composites: Manufacturing, Mechanical Testing and Finite Element Modelling.

Przemysław Golewski, Michał Budka

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 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.

Przemysław GolewskiGroup of Solid State Mechanics, Department of Roads and Bridges, Faculty of Civil Engineering and Architecture, Lublin University of Technology, Nadbystrzycka 40 Str., 20-618 Lublin, Poland.ORCID 0000-0001-5444-7797
Michał BudkaLaboratory of Civil Engineering, Faculty of Civil Engineering and Architecture, Lublin University of Technology, Nadbystrzycka 40 Str., 20-618 Lublin, Poland.ORCID 0000-0003-3665-2978

Funding

National Centre for Research and Development LIDER XIII 0135/L-13/2022
6 · The paper itself

Abstract

This study presents a manufacturing route for pre-impregnated functional powder coatings (PCs) intended for fibre-reinforced polymer (FRP) composites, including vacuum-infused sandwich structures. PCs comprising powder, thermoplastic nonwoven and twill glass fabric were produced by a two-stage heat-pressing process. Ceramic, mineral and metallic powders were investigated. Uniaxial tensile tests with digital image correlation and three-point bending tests of PC-integrated sandwich composites were supported by finite element analyses of representative volume elements. Powder layers were parametrically generated in CadQuery for F24, F30 and F36 grains with ellipsoidal or sharp-edged geometries. The powder and thermoplastic layers markedly affected tensile stiffness and deformation. Apparent Young's moduli ranged from 3.8 to 8.1 GPa, compared with 11.7-14.3 GPa for reference specimens. Manufacturing-induced curvature and an atypical transverse response were attributed to the asymmetric layered architecture. All sandwich variants reached similar maximum bending loads of 0.93-0.96 kN, while absorbed energy ranged from 7.2 to 9.1 J. RVE simulations showed that grain size affected local stress, strain and displacement fields. The method enables repeatable manufacture of thin, modular functional layers and their integration with composites without applying loose powder during moulding.

Indexed as

CadQuerydigital image correlationpre-impregnated coatingrepresentative volume elementsandwich compositetensile testthree-point bending test

Identifiers

PMID42795192
PMCPMC13608153

What OpenQuestion holds

Textmetadata
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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.