MétaCan
Menu
Back to cohort

Property Anisotropy in Magnesium Containing Aluminium Alloys

2000· article· en· W2129538397 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 · 2000
Typearticle
Languageen
FieldEngineering
TopicMetal Forming Simulation Techniques
Canadian institutionsNovelis (Canada)
Fundersnot available
KeywordsMaterials scienceAnisotropyUltimate tensile strengthWork hardeningElongationMetallurgyStrain hardening exponentDuctility (Earth science)AluminiumHardening (computing)Texture (cosmology)Composite materialMicrostructureOptics

Abstract

fetched live from OpenAlex

Property anisotropy has been investigated in a range of both model and commercial 5xxx series Al-Mg alloys, in the annealed temper. The term property anisotropy includes the whole range of mechanical tensile properties, but in this paper we are particularly concerned with anisotropy in the tensile elongation to fracture. The tensile elongation in these alloys typically achieves a maximum value in the 45° direction to the rolling direction, and a minimum when the sheet is deformed in a direction parallel to the rolling direction. Both microstructural anisotropy and crystallographic texture have been considered in analysing the results. It is shown that microstructural anisotropy and global parameters, such as the work hardening exponent, n, and the plastic strain ratio, r-value, cannot explain the ductility anisotropy. However, the anisotropy can be understood in terms of the influence of crystallographic texture on the work hardening rate. The behaviour of the work hardening rate with stress and strain controls the onset of plastic instability, and subsequent failure.

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 categoriesInsufficient payload (model declined to judge)
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 score0.009
Threshold uncertainty score0.999

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 communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.235
Teacher spread0.224 · 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