Evidence map›Paper›PMID 39517581›Full record

ArticleMaterials (Basel, Switzerland)2024

Models for the Design and Optimization of the Multi-Stage Wiredrawing Process of ZnAl15% Wires for Spray Metallization.

Juan Carlos Del Rey, Guillermo Guerrero-Vacas, Francisco Comino, Oscar Rodríguez-Alabanda

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2024. 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

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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

4 authors.

Juan Carlos Del ReyDepartment of Mechanics, Higher Polytechnic School, University of Córdoba, Leonardo da Vinci Building, Rabanales University Campus, Madrid-Cadiz Road, km 396, 14014 Córdoba, Spain.
Guillermo Guerrero-VacasDepartment of Mechanics, Higher Polytechnic School, University of Córdoba, Leonardo da Vinci Building, Rabanales University Campus, Madrid-Cadiz Road, km 396, 14014 Córdoba, Spain.ORCID 0000-0002-7627-3385
Francisco CominoDepartment of Mechanics, Higher Polytechnic School, University of Córdoba, Leonardo da Vinci Building, Rabanales University Campus, Madrid-Cadiz Road, km 396, 14014 Córdoba, Spain.ORCID 0000-0002-0973-433X
Oscar Rodríguez-AlabandaDepartment of Mechanics, Higher Polytechnic School, University of Córdoba, Leonardo da Vinci Building, Rabanales University Campus, Madrid-Cadiz Road, km 396, 14014 Córdoba, Spain.ORCID 0000-0002-9728-258X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metallization, a process for applying anti-corrosion coatings, has advantages over hot-dip galvanizing, such as reduced thermal stress and the ability to work "in situ". This process consists of the projection of a protective metal as coating from a wire as application material, and this wire is obtained by multi-stage wiredrawing. For the metallization process, a zinc-aluminum alloy wire obtained by this process is used. This industrial process requires multiple stages/dies of diameter reduction, and determining the optimal sequence is complex. Thus, this work focuses on developing models with the aim of designing and optimizing the wiredrawing process of zinc-aluminum (ZnAl) alloys, specifically ZnAl15%, used for anti-corrosion applications. Both analytical models and numerical models based on the finite element method (FEM) and implemented by computer-aided engineering (CAE) software Deform 2D/3D v.12, enabled the prediction of the drawing stress and drawing force in each drawing stage, producing values consistent with experimental measurements. Key findings include the modeling of the material behavior when ZnAl15% wires were subjected to the tensile test at different speeds, with strain rate sensitivity coefficient

Indexed as

FEMformabilityfriction coefficientoptimal die anglewiredrawing ZnAl15%

Identifiers

PMID39517581
PMCPMC11547521

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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.