MétaCan
Menu
Back to cohort

Effect of Al–5Ti–1B on grain refinement, dendrite coherency and porosity of AZ91E magnesium alloy

2014· article· en· W2080062392 on OpenAlexaff
Mihai Vlasceanu, S. Lun Sin, Abdallah Elsayed, C. Ravindran

Bibliographic record

VenueInternational Journal of Cast Metals Research · 2014
Typearticle
Languageen
FieldEngineering
TopicAluminum Alloy Microstructure Properties
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsMaterials scienceDendrite (mathematics)CastabilityEquiaxed crystalsAlloyPorosityMetallurgyGrain sizeMagnesiumMagnesium alloyVolume fractionMorphology (biology)TitaniumComposite material

Abstract

fetched live from OpenAlex

The dendrite coherency point is an important characteristic governing the castability of an alloy. In this study, the effect of Al–5Ti–1B additions on the grain size and dendrite coherency point of AZ91E magnesium alloy was investigated. It was observed that additions of 0·005 wt-%Ti led to a decrease in the grain size and the porosity level of AZ91E. This was accompanied by a significant increase in the coherency fraction of solid. However, with further additions of titanium up to 0·30 wt-%, the grain size increased and the coherency fraction of solid decreased. This was ascribed to increased growth rate, resulting from a change in the dendritic morphology from equiaxed to a lancet structure.

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 score0.003
Threshold uncertainty score0.006

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 head0.019
GPT teacher head0.330
Teacher spread0.310 · 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

Citations8
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Cast Metals ResearchSame topicAluminum Alloy Microstructure PropertiesFrench-language works237,207