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Influence of welding parameters on stir zone microstructures during friction stir welding of magnesium alloys

2012· article· en· W2014552984 on OpenAlex
Steven D. Borle, Hossein Izadi, A.P. Gerlich

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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 · 2012
Typearticle
Languageen
FieldEngineering
TopicAdvanced Welding Techniques Analysis
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMicrostructureMaterials scienceFriction stir weldingWeldingLamellar structureGrain sizeScanning electron microscopeMetallurgyOptical microscopeAlloyComposite material

Abstract

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The microstructural features produced in friction stir welded AZ31, AZ80 and AZ91 alloys are examined using a combination of optical and scanning electron microscopy. The influences of tool rotation speed and travel speed are examined in terms of the stir zone phases and grain structures in the three base materials which contained different levels of Mg17Al12 phase. The microstructures primarily consist of α-Mg grains with α-Mg+Mg17Al12 colonies; however, melted films of Mg17Al12 are produced in AZ91 alloy when high rotation speeds are applied. When the rotation speeds are slow, or the travel speeds are fast, the Mg17Al12 was incorporated into the stir zone; however, they do not exhibit an elongated lamellar morphology associated with melted films. In the case of AZ80, the extruded base material contains a smaller fraction of Mg17Al12 and few of these phases are observed in the stir zones, while the AZ31 microstructure before and after welding remained as primary Mg grains. The results are explained based on the dissolution rate and melting temperatures of Mg17Al12 controlling the overall morphology and fraction of phases in the stir zone.On examine les caractéristiques des microstructures, produites dans les alliages AZ31, AZ80 et AZ91 soudés par friction-malaxage, en utilisant une combinaison de microscopie optique et de microscopie électronique à balayage. On examine l’influence de la vitesse de rotation de l’outil et de la vitesse de déplacement par rapport aux phases de la zone de malaxage et de la structure de grain des trois matériaux de base, qui contenaient des niveaux différents de la phase Mg17Al12. Les microstructures consistent principalement en grains de Mg-α avec colonies de MgzMg17Al12-α; cependant, des films fondus de Mg17Al12 sont produits dans l’alliage AZ91 lorsqu’on applique de grandes vitesses de rotation. Lorsque la vitesse de rotation est lente, ou que la vitesse de déplacement est rapide, le Mg17Al12 était incorporé dans la zone de malaxage; cependant, ils n’exhibent pas la morphologie lamellaire allongée associée aux films fondus. Dans le cas du AZ80, le matériau de base extrudé contient une plus petite fraction de Mg17Al12 et l’on observe peu de ces phases dans les zones de malaxage, alors que la microstructure du AZ31, avant et aprés le soudage, reste sous forme de grains primaires de Mg. On explique les résultats en se basant sur la vitesse de dissolution et les températures de fusion de Mg17Al12 contrôlant la morphologie globale et la fraction des phases dans la zone de malaxage.

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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 categoriesnone
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 score0.666
Threshold uncertainty score0.972

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)0.0000.000

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 head0.006
GPT teacher head0.208
Teacher spread0.201 · 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