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Effect of vertical alignment of ladle shroud on transient steel quality output from multistrand tundish

2011· article· en· W2082911204 on OpenAlexaff
Kinnor Chattopadhyay, F G Liu, M. Isac, R. I. L. Guthrie

Bibliographic record

VenueIronmaking & Steelmaking Processes Products and Applications · 2011
Typearticle
Languageen
FieldEngineering
TopicMetallurgical Processes and Thermodynamics
Canadian institutionsMcGill University
Fundersnot available
KeywordsLadleTundishShroudCasterContinuous castingTransient (computer programming)Slag (welding)Water modelSlabMetallurgyMaterials scienceEngineeringMechanical engineeringStructural engineeringComputer scienceChemistry

Abstract

fetched live from OpenAlex

Slight misalignments of the ladle shroud in a multistrand continuous casting tundish can lead to significant differences in the amounts of slag entrained into individual moulds during transient operations. In this full scale water modelling work, the effects of ladle shroud alignment on steel quality was measured in terms of ‘slag’ entrainment into the individual moulds. The ladle shroud was purposefully biased by about 4–5° off vertical, and the numbers of ‘slag particles’ entering individual strands of the four‐strand billet caster were measured during a ladle change and compared with the no bias condition. Given the great sensitivity of steel quality to this slight misalignment during a ladle change, possible remedial actions are discussed for equivalent steel plant operations.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0010.000

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 head0.027
GPT teacher head0.258
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

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 designObservational
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

Citations15
Published2011
Admission routes1
Has abstractyes

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