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Record W2394883367 · doi:10.1080/13640461.2015.1110872

Low-head direct chill slab casting of aluminium alloy AA-6061: 3-D numerical study

2016· article· en· W2394883367 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueInternational Journal of Cast Metals Research · 2016
Typearticle
Languageen
FieldEngineering
TopicAluminum Alloy Microstructure Properties
Canadian institutionsMcGill University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsSump (aquarium)Materials scienceSlabCastingMetallurgyAluminiumHeat transferHead (geology)AlloyContinuous castingComposite materialMechanicsGeology

Abstract

fetched live from OpenAlex

An industrial-sized vertical low-head direct chill slab casting process for the aluminium alloy AA-6061 is modelled by taking into account the 3-D turbulent melt flow and heat transfer in the liquid sump and by giving proper consideration of the mushy region solidification aspect of the process. Computed results for the steady-state phase of the casting process are presented for four casting speeds, varying from 60 to 180 mm min−1, for three metal–mould effective heat transfer boundary conditions, varying from 1.0 to 4.0 kW m−2 K−1 and for three inlet melt superheats of 16, 32 and 64 °C. A step-wise change of the cooling water temperature in the mould, impingement and free streaming regions are considered to reflect the actual operations. Detailed results in the form of velocity and temperature fields, solidification shell and mushy region thickness, sump depth and temperature profiles at four critical locations along the caster are provided and discussed.

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)0.002
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 score0.029
Threshold uncertainty score0.549

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.055
GPT teacher head0.355
Teacher spread0.300 · 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