MétaCan
Menu
Back to cohort

Enhancement of Ductility in Aluminum Alloys by the Control of Transition-Metal Solutes during Thermo-Mechanical Processing

2005· article· en· W2004279986 on OpenAlexaff
S. Saimoto, Sheng Cao, Raja K. Mishra

Bibliographic record

VenueMaterials science forum · 2005
Typearticle
Languageen
FieldEngineering
TopicAluminum Alloy Microstructure Properties
Canadian institutionsQueen's University
Fundersnot available
KeywordsMaterials scienceFormabilityDuctility (Earth science)Stacking-fault energyExtrusionMetallurgySolvent dragAluminiumStrain rateChromiumDeformation (meteorology)Ultimate tensile strengthComposite materialAlloyMicrostructureCreep

Abstract

fetched live from OpenAlex

Predictions of chromium additions to aluminum alloys to stabilize the deformation debris products were examined. Additions of 0.22 wt. % Cr to AA6063 extrusion alloys manifested enhanced formability under bending and precision-strain-rate-sensitivity tensile testing indicated that the stacking fault energy was reduced. The debris products were more resistant to dynamic recovery resulting in enhanced ductility at 27 °C and the solute-drag effect of Mg was dramatically manifested in the Haasen plot.

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)0.001
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 score0.409

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.005
GPT teacher head0.199
Teacher spread0.194 · 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

Citations6
Published2005
Admission routes1
Has abstractyes

Explore more

Same venueMaterials science forumSame topicAluminum Alloy Microstructure PropertiesFrench-language works237,207