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Grain Structure Development of C<sub>2</sub>Cl<sub>6</sub>-Refined Magnesium Alloy AM60

2014· article· en· W2249319004 on OpenAlexafffund
Yan Zou, Henry Hu, Xue Zhi Zhang

Bibliographic record

VenueApplied Mechanics and Materials · 2014
Typearticle
Languageen
FieldEngineering
TopicAluminum Alloys Composites Properties
Canadian institutionsUniversity of Windsor
FundersUniversity of Windsor
KeywordsNucleationMagnesium alloyMagnesiumMetallurgyMaterials scienceCastingAlloyPorosityComposite materialChemistry

Abstract

fetched live from OpenAlex

The demand for weight reduction in automotive industry has generated great interest in research and development of magnesium applications, especially for powertrain components. Recently, the squeeze casting process is increasingly used on magnesium alloys mainly because of their great ability of eliminating the porosity in the castings. In this study, the effect of hexachloroethane (C 2 Cl 6 ) as a grain refiner added into the squeeze casting AM60 magnesium alloys was investigated. The results of thermal analysis and microstructural analysis indicate the occurrence of heterogeneous nucleation of primary magnesium during solidification. The microstructural analysis suggests that the nucleation behavior of C 2 Cl 6 -treated AM60 alloy may be attributed to the increase in nuclei and nucleation rate during the solidification of the magnesium alloy.

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 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 categoriesMeta-epidemiology (narrow)
Consensus categoriesMeta-epidemiology (narrow)
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 score0.042
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.000
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 head0.170
Teacher spread0.164 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2014
Admission routes2
Has abstractyes

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