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Influence of stirring conditions on hard anodising of aluminium A6061-T6 shapes

2014· article· en· W2026500809 on OpenAlex

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A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueCanadian Metallurgical Quarterly · 2014
Typearticle
Languageen
FieldMaterials Science
TopicAnodic Oxide Films and Nanostructures
Canadian institutionsUniversité LavalSuncor Energy (Canada)
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsAnodizingMaterials scienceAluminiumCorrosionMetallurgyAbrasion (mechanical)CoatingOxideAluminium oxideElectrolyteLayer (electronics)Composite materialChemistryElectrode

Abstract

fetched live from OpenAlex

Hard anodising is used to produce relatively thick and adherent coatings in order to improve the hardness, abrasion and corrosion resistance of aluminium components. In typical industrial conditions, the local variation of anodic oxide film thickness is often significant and it affects the dimensional tolerances and reliability of coating thickness. Electrolyte stirring is a simple and effective way to improve the uniformity of the oxide layer thickness. However, very little practical information is available in the literature to guide industry in this regard. In this work, extruded A6061-T6 specimens were anodised in industrial conditions. To reduce the thickness variability of the coating, three methods of electrolyte stirring were studied and compared. Air bubble stirring showed the best coating thickness uniformity and improved control over anodising parameters. However it did not reduce the variability due to metal forming texture.On utilise l’anodisation dure afin de produire un revêtement d’oxyde épais et adhérent à la surface de pièces en alliage d’aluminium. Ce revêtement accroît la dureté, la résistance à l’abrasion et la résistance à la corrosion des composantes. En milieu industriel, l’épaisseur de la couche d’oxyde a tendance à varier en fonction de la position dans la cellule et même d’un endroit à l’autre sur une pièce, ce qui réduit la précision dimensionnelle. L’agitation de l’électrolyte dans la cellule est un moyen simple et efficace d’améliorer l’uniformité de l’épaisseur du revêtement. Toutefois, très peu d’information est disponible dans la littérature pour guider les industriels et déterminer dans quelle mesure l’agitation permet de réduire cette variabilité. Dans ce travail, des composantes extrudées en alliage A6061-T6 ont été anodisées en milieu industriel. Afin de réduire la variabilité de l’épaisseur de la couche anodisée, trois types d’agitation d’électrolyte dans la cellule ont été étudiés et comparés. L’agitation par bulles d’air a permis d’obtenir la meilleure uniformité de l’épaisseur de la couche anodisée et le meilleur contrôle sur les paramètres d’anodisation. Toutefois, les résultats montrent aussi que l’agitation accentue la différence d’épaisseur de la couche anodisée occasionnée par la texture de laminage ou d’extrusion.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.673
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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

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 head0.009
GPT teacher head0.223
Teacher spread0.214 · 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