Evidence map›Paper›PMID 36993789›Full record

ArticleBioactive materials2023

Predicting localised corrosion and mechanical performance of a PEO surface modified rare earth magnesium alloy for implant use through in-silico modelling.

Kerstin van Gaalen, Conall Quinn, Marek Weiler, Felix Gremse, Felix Benn, Peter E McHugh, Ted J Vaughan, Alexander Kopp

Abstract read
In one paragraph

Article in Bioactive materials, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

8 authors.

Kerstin van GaalenBiomechanics Research Centre (BioMEC), Biomedical Engineering, School of Engineering, University of Galway, Galway, Ireland.
Conall QuinnBiomechanics Research Centre (BioMEC), Biomedical Engineering, School of Engineering, University of Galway, Galway, Ireland.
Marek WeilerInstitute for Experimental Molecular Imaging, RWTH Aachen University, Aachen, Germany.
Felix GremseInstitute for Experimental Molecular Imaging, RWTH Aachen University, Aachen, Germany.
Felix BennSchool of Mechanical and Aerospace Engineering, Queen's University Belfast, Belfast, United Kingdom.
Peter E McHughBiomechanics Research Centre (BioMEC), Biomedical Engineering, School of Engineering, University of Galway, Galway, Ireland.
Ted J VaughanBiomechanics Research Centre (BioMEC), Biomedical Engineering, School of Engineering, University of Galway, Galway, Ireland.
Alexander KoppMeotec GmbH, Aachen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, the influence of a plasma electrolytic oxidation (PEO) surface treatment on a medical-grade WE43-based magnesium alloy is examined through an experimental and computational framework that considers the effects of localised corrosion features and mechanical properties throughout the corrosion process. First, a comprehensive in-vitro immersion study was performed on WE43-based tensile specimens with and without PEO surface modification, which included fully automated spatial reconstruction of the phenomenological features of corrosion through micro-CT scanning, followed by uniaxial tensile testing. Then the experimental data of both unmodified and PEO-modified groups were used to calibrate parameters of a finite element-based surface corrosion model. In-vitro, it was found that the WE43-PEO modified group had a significantly lower corrosion rate and maintained significantly higher mechanical properties than the unmodified. While corrosion rates were ∼50% lower in the WE43-PEO modified specimens, the local geometric features of corroding surfaces remained similar to the unmodified WE43 group, however evolving after almost the double amount of time. We were also able to quantitatively demonstrate that the PEO surface treatment on magnesium continued to protect samples from corrosion throughout the entire period tested, and not just in the early stages of corrosion. Using the results from the testing framework, the model parameters of the surface-based corrosion model were identified for both groups. This enabled, for the first time, in-silico prediction of the physical features of corrosion and the mechanical performance of both unmodified and PEO modified magnesium specimens. This simulation framework can enable future in-silico design and optimisation of bioabsorbable magnesium devices for load-bearing medical applications.

Indexed as

Corrosion phenomenologyDegradation modelMechanical integrityPlasma electrolytic oxidationWE43MEO

Identifiers

PMID36993789
PMCPMC10040519

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.