MétaCan
Menu
Back to cohort

Effect of Grain Refiner C<sub>2</sub>Cl<sub>6 </sub>on Tensile Properties of Squeeze Cast Mg Alloy AM60

2015· article· en· W2247952700 on OpenAlexaff
Fang Li, Yan Zou, Xue Zhi Zhang, Henry Hu

Bibliographic record

VenueAdvanced materials research · 2015
Typearticle
Languageen
FieldEngineering
TopicAluminum Alloys Composites Properties
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsUltimate tensile strengthMaterials scienceAlloyMicrostructureMagnesium alloyMetallurgyCastingRefining (metallurgy)Optical microscopeMagnesiumTensile testingComposite materialScanning electron microscope

Abstract

fetched live from OpenAlex

In this study, the hexachloroethane (C 2 Cl 6 ) as a refiner was introduced into a cylindrical squeeze casting of magnesium alloy AM60 with a diameter of 100 mm and a thickness of 25 mm. The casting was prepared under an applied pressure of 30 MPa. The results of tensile testing indicate the tensile properties for the C 2 Cl 6 -refined specimens were significantly improved over the untreated AM60 samples. Microstructure analyses with optical microscopes reveal the great grain refining capability of C 2 Cl 6 on squeeze cast magnesium alloy AM60, which should be responsible for the enhanced tensile properties of the refined AM60.

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)0.005
metaresearch head score (Gemma)0.002
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 score0.007
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.037
GPT teacher head0.285
Teacher spread0.248 · 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
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueAdvanced materials researchSame topicAluminum Alloys Composites PropertiesFrench-language works237,207