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Record W2796429366 · doi:10.1002/crat.201700137

Microstructure Characterization of an Aluminium Alloy Processed by Milling Followed by Spark Plasma Sintering

2018· article· en· W2796429366 on OpenAlex
S. Charfeddine, K. Zehani, Lotfi Bessais, Atef Korchef

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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCrystal Research and Technology · 2018
Typearticle
Languageen
FieldEngineering
TopicAluminum Alloys Composites Properties
Canadian institutionsnot available
FundersKing Khalid UniversityMinistère de l'Enseignement Supérieur, de la Recherche, de la Science et de la Technologie
KeywordsSpark plasma sinteringMaterials scienceNanocrystalline materialMicrostructureBall millMetallurgyAlloyTransmission electron microscopyGrain sizeScanning electron microscopeSevere plastic deformationAluminiumSinteringComposite materialNanotechnology

Abstract

fetched live from OpenAlex

Abstract In the present work, the microstructure and thermal stability of a commercial nanocrystalline aluminum alloy produced by combining equal channel angular pressing and ball milling followed by spark plasma sintering are characterized by X‐ray diffraction, optical microscopy, scanning electron microscopy and transmission electron microscopy. It is shown that the combination of different severe plastic deformation techniques, results to refining the grain size to a larger extent and improving the temperature range in which the grain size remains in the nanometer domain for temperatures as high as 400 °C. This broadens the scope of using the nanocrystalline aluminium alloy for high temperature industrial applications.

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)0.000
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 score0.011
Threshold uncertainty score0.609

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.000
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 head0.013
GPT teacher head0.250
Teacher spread0.237 · 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