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Record W2076380571 · doi:10.2514/1.t4272

Three-Dimensional Modeling of Direct Chill Caster with Partial Porous Plate

2014· article· en· W2076380571 on OpenAlexafffund
Latifa Begum, Mainul Hasan

Bibliographic record

VenueJournal of Thermophysics and Heat Transfer · 2014
Typearticle
Languageen
FieldEngineering
TopicHeat and Mass Transfer in Porous Media
Canadian institutionsMcGill University
FundersMcGill University
KeywordsMaterials scienceIngotHeat transferPorosityCasterSump (aquarium)MechanicsHeat transfer coefficientDarcy–Weisbach equationControl volumeComposite materialPorous mediumAlloy

Abstract

fetched live from OpenAlex

A three-dimensional control-volume-based finite difference code is developed to simulate a vertical direct chill casting process for aluminum alloy AA-1050. The rectangular slab caster is fitted with a porous plate occupying 50% of the width of the ingot and is placed near the top in the central region. The turbulence in the liquid sump is modeled employing a popular version of the low Reynolds number model. The enthalpy–porosity technique is used to solve the coupled melt flow and solidification heat transfer problem. To model the porous plate, the Brinkman–Forchheimer extended Darcy equation is considered. The code is first verified with the available experimental solidification profile data for a direct chill caster of a rolling ingot AA-3104. The effects of casting speed and heat transfer coefficient at the metal-mold contact region on solidification characteristics are investigated. By varying the latent heat of solidification of the said alloy, sensitivity analysis is also carried out. The temperature and velocity profiles, along with the solid shell thickness, sump depth, mushy thickness, and local surface heat flux, are presented and discussed. All results reported here are new and have direct industrial significance.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.130
Threshold uncertainty score0.464

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.011
GPT teacher head0.190
Teacher spread0.180 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations1
Published2014
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Thermophysics and Heat TransferSame topicHeat and Mass Transfer in Porous MediaFrench-language works237,207