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Effect of flow modifiers on liquid metal cleanliness in four-strand delta shaped billet caster tundish

2012· article· en· W2156333014 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueIronmaking & Steelmaking Processes Products and Applications · 2012
Typearticle
Languageen
FieldEngineering
TopicMetallurgical Processes and Thermodynamics
Canadian institutionsMcGill University
Fundersnot available
KeywordsTundishCasterResidualWater modelEngineeringFlow (mathematics)Continuous castingMetallurgyLiquid steelMechanical engineeringMaterials scienceMechanicsMathematicsChemistryPhysics

Abstract

fetched live from OpenAlex

Mathematical modelling was performed on a full scale aqueous model of a delta shaped four-strand billet caster tundish that is in operation at the RTIT (QIT) plant in Sorel-Tracy, Que., Canada. The tundish already uses a large and shallow impact pad designed by the McGill Metals Processing Centre (MMPC) and has proved to be quite successful. In the present study, 12 different combinations of flow modifiers were researched, each of which consisted of the standard impact pad (SIP) and two dams located in between the inner and outer strands. In addition, the size of the SIP was varied in four steps, and its performance was evaluated. The residual ratio of inclusion (RRI) was calculated for all 18 designs, and the best configuration was identified. Mathematically predicted RRI values were verified with existing water model data for a couple of designs.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.347
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.016
GPT teacher head0.247
Teacher spread0.231 · 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