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Spark plasma sintering of prealloyed aluminium powders

2014· article· en· W2028299969 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

VenuePowder Metallurgy · 2014
Typearticle
Languageen
FieldEngineering
TopicAluminum Alloys Composites Properties
Canadian institutionsMcGill UniversityConcordia UniversityDalhousie University
Fundersnot available
KeywordsMaterials scienceSpark plasma sinteringParticle sizeThermogravimetric analysisMetallurgyIngotAluminiumSinteringHydrogenParticle (ecology)Yield (engineering)Raw materialMass spectrometryAnalytical Chemistry (journal)Chemical engineeringChromatographyChemistry

Abstract

fetched live from OpenAlex

The central objective of this research was to assess the effects of temperature and particle size on the spark plasma sintering (SPS) response of two prealloyed aluminium powders atomised from wrought alloys AA 2024 and AA 7075. A SPS temperature of 400°C was found to yield fully dense specimens of both alloys with hardness values that were comparable to the starting wrought ingot materials. Such samples also exhibited appreciably lower concentrations of residual oxygen and hydrogen when compared to those present in the raw powders. Degassing experiments completed through thermogravimetric analyser (TGA)–gas chromatography (GC)–mass spectrometry (MS) indicated that the release of CO2 and adsorbed/chemisorbed H2O were responsible for the enhanced purity of the SPS products. Particle size was also a factor of influence with the most favourable results for density and minimised O/H concentrations achieved with particles ≧180 μm in diameter.

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 categoriesMeta-epidemiology (narrow)
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 score0.446
Threshold uncertainty score1.000

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 studies0.0000.000
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 head0.008
GPT teacher head0.177
Teacher spread0.169 · 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