Evidence map›Paper›PMID 40731611›Full record

ArticleMaterials (Basel, Switzerland)2025

Metallization of 3D-Printed PET and PETG Samples with Different Filling Densities of the Inner Layers.

Sonya Petrova, Diana Lazarova, Mihaela Georgieva, Maria Petrova, Dimiter Dobrev, Dimitre Ditchev

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2025. 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

6 authors.

Sonya PetrovaDepartment of Electrochemistry and Corrosion, Institute of Physical Chemistry, Bulgarian Academy of Science, "Academic Georgi Bonchev" Street, Blok 11, 1113 Sofia, Bulgaria.
Diana LazarovaDepartment of Electrochemistry and Corrosion, Institute of Physical Chemistry, Bulgarian Academy of Science, "Academic Georgi Bonchev" Street, Blok 11, 1113 Sofia, Bulgaria.
Mihaela GeorgievaDepartment of Chemistry, Technical University of Sofia, 1000 Sofia, Bulgaria.ORCID 0000-0003-2343-8606
Maria PetrovaDepartment of Electrochemistry and Corrosion, Institute of Physical Chemistry, Bulgarian Academy of Science, "Academic Georgi Bonchev" Street, Blok 11, 1113 Sofia, Bulgaria.ORCID 0000-0003-0075-2627
Dimiter DobrevInstitute of Mathematics and Informatics, Bulgarian Academy of Sciences, "Academic Georgi Bonchev" Street, Blok 8, 1113 Sofia, Bulgaria.
Dimitre DitchevDepartment of Railway Engineering, Technical University of Sofia, 1000 Sofia, Bulgaria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of the study was to develop a suitable pre-treatment (and more specifically, the etching operation) of 3D-printed PET and PETG samples with different filling densities of the inner layers for subsequent electroless metallization. The influence of temperature, etching time, and sodium hydroxide concentration in the etching solution on the deposition rate, adhesion, and composition of Ni-P coatings was determined. The studies show that a high temperature and concentration of the etching solution do not improve the properties of the coating. The etching not only plays an important role in improving adhesion but also affects the composition and thickness of the nickel layer. It was also established how the degree of filling densities of the inner layers affects the uniformity, penetration depth, and thickness of electrolessly deposited Cu and Ni-P coatings on 3D PETG samples.

Indexed as

3D printingconductive layerscopper layerselectroless depositionFDM technologynickel layersPETPETGpolymer samples

Identifiers

PMID40731611
PMCPMC12300221

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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.