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Record W2066660358 · doi:10.2320/matertrans.md201228

Grain Refinement during Rapid Solidification of Aluminum–Zirconium Alloys Using Electrospark Deposition

2013· article· en· W2066660358 on OpenAlexafffund
Mathieu Brochu, Gilberto Portillo

Bibliographic record

VenueMATERIALS TRANSACTIONS · 2013
Typearticle
Languageen
FieldEngineering
TopicSurface Treatment and Coatings
Canadian institutionsMcGill University
FundersMcGill University
KeywordsMaterials scienceEquiaxed crystalsTetragonal crystal systemZirconiumSupercoolingAlloyMetallurgyDeposition (geology)AluminiumIngotSupersaturationCrystal structureThermodynamicsCrystallography

Abstract

fetched live from OpenAlex

Electrospark deposition (ESD) was applied to Al–Zr binary system in order to study the possible change of solidification structure from the stable D023 tetragonal equilibrium phases to the cubic L12, when high cooling rates and undercooling conditions are involved. The results show that a supersaturated solid solution was formed for the alloy containing 0.5 at%Zr, while a two-region layered structure was developed for the alloys with 1–1.5 at%Zr. These layers are composed of refined equiaxed grains, with a smaller particle size distribution for the region where the L12 precipitates were present.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.014
GPT teacher head0.209
Teacher spread0.196 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations17
Published2013
Admission routes2
Has abstractyes

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