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Record W2037755092 · doi:10.1179/174328409x405634

The different effects of asymmetric rolling and surface friction on formation of shear texture in aluminium alloy AA5754

2009· article· en· W2037755092 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 and Technology · 2009
Typearticle
Languageen
FieldMaterials Science
TopicMicrostructure and mechanical properties
Canadian institutionsNovelis (Canada)
Fundersnot available
KeywordsMaterials scienceShear (geology)AluminiumTexture (cosmology)AlloyMetallurgyComposite materialDiffractionAluminium alloyOptics

Abstract

fetched live from OpenAlex

Conventional rolling and asymmetric rolling (ASR) processes were applied to aluminium alloy AA5754 with different roll metal frictional conditions. The rolling textures were determined by X-ray diffraction technique and the formation of shear texture was studied. It has been demonstrated that the ASR and friction have different effects on the generation of shear texture. The ASR forces the deformation texture to rotate about the transverse direction from the fcc plane strain compression texture, while a high friction generates a so called ideal fcc shear texture consisting of the {001}〈110〉 and {111}〈uvw〉 components. The effect of ASR penetrates throughout the sheet thickness, but that of friction exists only from the sheet surface to one-quarter thickness.

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 score0.004
Threshold uncertainty score0.207

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 head0.006
GPT teacher head0.212
Teacher spread0.207 · 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