Evidence map›Paper›PMID 41796168›Full record

ArticleScientific reports2026

Thermo-mechanical modelling and experimental production of aluminium circular form detail using three-level hierarchical WAAM model.

Pavlo Anikin, Flávia Bastos, Galina Shilo

Abstract read
In one paragraph

Article in Scientific reports, 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

3 authors.

Pavlo Anikin *Department of Computational Modelling, Federal University Juiz de Fora, Rua José Lourenço Kelmer, Juiz de Fora, 36036-900, Brazil. pavlo.anikin@estudante.ufjf.br.
Flávia Bastos *Department of Computational Modelling, Federal University Juiz de Fora, Rua José Lourenço Kelmer, Juiz de Fora, 36036-900, Brazil.
Galina Shilo *Department of Computer Science, Zaporizhzhia National University, Zhukovs'koho str. 66, Zaporizhzhia, Zaporizhia Oblast, 69600, Ukraine.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wire arc additive manufacturing (WAAM) offers significant potential for large-scale metal component production but remains limited by problems such as heat accumulation, residual stresses, and incomplete process automation. This study focuses on the development and validation of a three-level hierarchical WAAM model-bead, layer, and wall-to enable predictive thermo-mechanical simulation and informed experimental fabrication of an aluminium circular form detail. Each hierarchical level is modelled through transient coupled thermal-structural finite element analysis in ABAQUS, incorporating experimentally derived aluminium 6061 material data, heat input implementation through DFLUX, and convection radiation boundary conditions. The methodology includes sequential deposition modelling with 320 beads, thermal monitoring at critical nodes, and structural evaluation of residual stresses. Simulation results show that bead-level heat distribution and residual stresses remain within safe limits, layer-level deposition produces stable thermal oscillations without excessive heat accumulation. While wall-level revealing progressive heat buildup leading to remelting of previously deposited layers. A mitigation strategy is introduced by implementing layer-wise cooling to [Formula: see text]C, which successfully suppresses cumulative thermal loading and restores structural stability. The validated simulations guided an experimental conduction with a robotic GMAW-CMT system, infrared monitoring, and identical process parameters. The manufactured detail closely matches the target geometry, demonstrating the applicability of a three-level hierarchical thermo-mechanical framework for guiding WAAM process planning. This work demonstrates the original contribution of a practical, simulation to experiment workflow based on a three-level hierarchical WAAM model, capable of predicting thermal issues before manufacturing process, informing temperature control strategies and supporting the possibility of the generation of an automated program software for the robot control during the additive manufacturing process.

Indexed as

Computer aided engineeringHeat distributionNumerical modellingStructural analysisThree dimensional printingWire arc additive manufacturing

Identifiers

PMID41796168
PMCPMC13087220

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LicenceCC BY-NC-ND
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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.