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The Work Hardening of some Commercial Al Alloys

2006· article· en· W2074956175 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

VenueMaterials science forum · 2006
Typearticle
Languageen
FieldEngineering
TopicMetallurgy and Material Forming
Canadian institutionsNovelis (Canada)
Fundersnot available
KeywordsMaterials scienceWork hardeningPhysical metallurgyMetallurgyFormabilityHardening (computing)Work (physics)Composite materialThermodynamicsMicrostructure

Abstract

fetched live from OpenAlex

The work hardening of Al alloys is very important in regards to their formability and their deformation behavior in service. The majority of the work in the literature has considered relatively pure materials, and has tended to concentrate on room temperature and elevated temperature behavior. In Al alloys there is interest in work hardening at lower temperatures since they are quite restricted in terms of the elevated temperatures at which they can be used. In this paper the work hardening of commercial 1000, 3000 and 5000 alloys have been investigated from room temperature down to 85°K. The work hardening has been analyzed using the Voce approach, and it is shown that this enables the work hardening of the different alloys to be related to their basic physical metallurgy.

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 score0.026
Threshold uncertainty score0.297

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 head0.007
GPT teacher head0.209
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