Evidence map›Paper›PMID 40870209›Full record

ArticleMaterials (Basel, Switzerland)2025

Predictive Modeling and Experimental Optimization of the Electrodeposition-Sintering Process for Functional Ceramic Coatings.

Jesús M Rodríguez-Rego, Antonio Macías-García, Laura Mendoza-Cerezo, Juan Pablo Carrasco-Amador, Antonio Díaz-Parralejo

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

5 authors.

Jesús M Rodríguez-RegoDepartamento de Expresión Gráfica, Universidad de Extremadura, Avenida de Elvas, s/n, 06006 Badajoz, Spain.ORCID 0000-0003-4533-8067
Antonio Macías-GarcíaDepartamento de Ingeniería Mecánica, Energética y de los Materiales, Universidad de Extremadura, Avenida de Elvas, s/n, 06006 Badajoz, Spain.ORCID 0000-0002-4387-1119
Laura Mendoza-CerezoDepartamento de Expresión Gráfica, Universidad de Extremadura, Avenida de Elvas, s/n, 06006 Badajoz, Spain.ORCID 0000-0003-2282-4409
Juan Pablo Carrasco-AmadorDepartamento de Ingeniería Mecánica, Energética y de los Materiales, Universidad de Extremadura, Avenida de Elvas, s/n, 06006 Badajoz, Spain.ORCID 0000-0002-5177-3623
Antonio Díaz-ParralejoDepartamento de Ingeniería Mecánica, Energética y de los Materiales, Universidad de Extremadura, Avenida de Elvas, s/n, 06006 Badajoz, Spain.ORCID 0000-0002-5125-3687

Funding

This work has been 85% co-financed by the European Union, the European Regional Development Fund and the Regional Government of Extremadura. Managing Authority Ministry of Finance, through project GR24057. project GR24057.
6 · The paper itself

Abstract

This study focuses on optimizing a sol-gel based electrodeposition-sintering process for producing yttria-stabilized zirconia (YSZ) ceramic coatings on stainless steel substrates. Four key process variables-precursor concentration, current density, sintering time, and temperature-were evaluated in terms of two response variables: R (electrodeposition yield) and S (sintering yield). A fractional factorial design was used to reduce the number of experiments while enabling robust statistical modeling. Multiple linear regression analysis revealed that precursor concentration and current density were the most influential factors for both R and S, whereas sintering time and temperature had a lesser effect. Under central conditions (42.9 g·L

Indexed as

design of experiments (DoE)electrodepositionengineering visualizationmaterial characterization

Identifiers

PMID40870209
PMCPMC12387479

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.