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Record W4382988243 · doi:10.22533/at.ed.3173232329065

CHARACTERIZATION OF A-319 ALUMINUM THROUGH THE ADDITION OF MASTER ALLOY AL-MG-CE APPLYING MECHANICAL AGITATION

2023· article· en· W4382988243 on OpenAlex

Why this work is in the frame

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.

Bibliographic record

VenueJournal of Engineering Research · 2023
Typearticle
Languageen
FieldEngineering
TopicAluminum Alloy Microstructure Properties
Canadian institutionsCanadian Journal of Communication (Canada)
Fundersnot available
KeywordsAlloyCharacterization (materials science)AluminiumMaterials scienceMetallurgyNanotechnology

Abstract

fetched live from OpenAlex

The influence of cerium (Ce) on the as-cast microstructure and mechanical properties of the A-319 alloy were investigated.The A-319 experimental alloys were prepared.The aluminum,magnesium, cerium master alloy was added into the molten bath The cerium content increased 0 to 0.12 wt.% after 15 min of treatment.To obtain kinetic information and metallographic, samples were analyzed by using Scanning Electron Microscope (SEM) respectively.Dross samples were taken and analyzed by X-ray diffraction (XRD) for the qualitative identification of the crystalline compounds.The tensile properties, including ultimate tensile strength, yield strength.Elongation and creep properties of the as-cast experimental alloys were established.This result indicate that the incorporation of Ce to the A-319 alloy cause change in the morphology and distribution of the phase.Nevertheless, the grain size tended to be effectively refined.Furthermore, adding 0.12 wt.% Ce to the A-319 alloy improves the tensile properties at room temperature.

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)0.001
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.102
Threshold uncertainty score0.409

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.052
GPT teacher head0.289
Teacher spread0.237 · 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