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Effect of Nanostructured Oxide Coatings on Tensile Properties of Cast Pure Magnesium

2015· article· en· W2067337241 on OpenAlexaff
Jonathan Hu, Xueyuan Nie

Bibliographic record

VenueAdvanced materials research · 2015
Typearticle
Languageen
FieldMaterials Science
TopicMagnesium Alloys: Properties and Applications
Canadian institutionsUniversity of WindsorWestern University
FundersDivision of Materials Research
KeywordsMaterials scienceUltimate tensile strengthMagnesiumElongationMicrostructureCoatingTensile testingComposite materialPorosityMetallurgyOxide

Abstract

fetched live from OpenAlex

In this work, nanostructured magnesium oxides were formed by PEO process on cast pure magnesium and the tensile properties of thin (5.8 μm) and thick (11.2 μm) coated samples were evaluated. The results obtained by uniaxial tensile testing show that the thin PEO coating had very little effect on the ultimate tensile strength (UTS) and elongation of the cast pure magnesium, while its yield strength was somewhat decreased. For the thick coated sample, both the yield strength and UTS decreased considerably, but the variation of the elongation was moderate, compared to the uncoated sample. The microstructures characterized by SEM revealed that the high porosity content and the large size of pores in the thick PEO coating should be responsible for the significant reduction in the properties of cast pure magnesium. The relationship between the tensile properties and microstructure of the PEO coated samples suggests that the thin PEO coating should be selected to protect the pure magnesium for biodegradable applications.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.583

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.056
GPT teacher head0.336
Teacher spread0.280 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2015
Admission routes1
Has abstractyes

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