Evidence map›Paper›PMID 42513740›Full record

ArticleMaterials (Basel, Switzerland)2026

Investigation of Microstructure, Hardness, and Wear Behavior of Hardfacing Produced by Wire Laser Additive Manufacturing.

Natan Damian Crozetta, Andeson Daleffe, Pedro Henrique Menegaro Possamai, Henrique Cechinel Casagrande, Gilson de March, Paulo Eduardo Ceccacci de Lion

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.

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0citing papers in PubMed
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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.

Natan Damian CrozettaDepartment of Additive Manufacturing, Centro Universitário SATC, Criciúma 88805-380, Brazil.
Andeson DaleffeDepartment of Additive Manufacturing, Centro Universitário SATC, Criciúma 88805-380, Brazil.ORCID 0000-0001-7050-3816
Pedro Henrique Menegaro PossamaiDepartment of Additive Manufacturing, Centro Universitário SATC, Criciúma 88805-380, Brazil.ORCID 0009-0007-8266-5530
Henrique Cechinel CasagrandeDepartment of Materials Engineering, Federal University of Santa Catarina (UFSC), Florianópolis 88040-900, Brazil.ORCID 0009-0005-7165-0304
Gilson de MarchDepartment of Mining, Metallurgical and Materials Engineering, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre 91501-970, Brazil.ORCID 0000-0003-1844-4542
Paulo Eduardo Ceccacci de LionDepartment of Additive Manufacturing, Centro Universitário SATC, Criciúma 88805-380, Brazil.ORCID 0009-0001-9989-714X

Funding

Fundação de Amparo à Pesquisa e Inovação do Estado de Santa Catarina 2025TR002165.
6 · The paper itself

Abstract

Wire Laser Additive Manufacturing (WLAM) has emerged as a promising alternative for the fabrication and repair of components subjected to severe wear conditions due to its high deposition rate, efficient material utilization, and localized thermal control. In this study, the WLAM process using DUR600 wire as the feedstock material for the deposition of abrasion-resistant coatings was investigated. The deposited specimens were characterized by optical emission spectroscopy (OES), X-ray diffraction (XRD), optical microscopy (OM), scanning electron microscopy coupled with energy-dispersive X-ray spectroscopy (SEM/EDS), Vickers microhardness testing, and dry sand/rubber wheel abrasion testing in accordance with ASTM G65. The deposits exhibited a predominantly martensitic microstructure with retained austenite, as confirmed by XRD. Hardness values ranged from 749 to 817 HV, with an average of 783 ± 18 HV, while the average volumetric loss in the abrasive wear test was 150.26 mm

Indexed as

abrasive wear resistanceDUR600Wire Laser Additive Manufacturing (WLAM)

Identifiers

PMID42513740
PMCPMC13413289

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Registered trials

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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.