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Record W2609266629 · doi:10.1080/02670836.2017.1317954

Improvement of superplasticity in AA5083 by equal channel angular extrusion and rolling

2017· article· en· W2609266629 on OpenAlex
H. Jin

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueMaterials Science and Technology · 2017
Typearticle
Languageen
FieldMaterials Science
TopicMagnesium Alloys: Properties and Applications
Canadian institutionsNatural Resources Canada
FundersNatural Resources Canada
KeywordsMaterials scienceEqual channel angular extrusionSuperplasticityIntermetallicMetallurgyNucleationExtrusionGrain sizeGrain boundaryVolume fractionAlloyMicrostructureComposite material

Abstract

fetched live from OpenAlex

Al–Mg–Mn alloy AA5083 has been processed by equal channel angular extrusion (ECAE) followed by hot and cold rolling. The grain structure, crystallographic texture, intermetallic phases and superplasticity were investigated and compared with a conventionally hot and cold rolled AA5083 sheet. The intensive shear strain in ECAE has a very strong breakdown effect on the dendritic cast structure, which effectively changes the volume fraction and size of the intermetallic particles that provide particle stimulated nucleation upon recrystallisation. Consequently, the combination of ECAE and rolling leads to a finer and more thermally stable grain structure, with fewer very coarse constituent particles, resulting in a significant improvement in superplasticity through enhanced grain boundary sliding, with retarded formation and linkage of cavities.

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 score0.002
Threshold uncertainty score0.532

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.010
GPT teacher head0.239
Teacher spread0.228 · 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