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

2014· article· en· W2080062392 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

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.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.019
Threshold uncertainty score0.451

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
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 head0.019
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