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Record W2298161003 · doi:10.14288/1.0103803

Mathematical modeling of heat transfer in the meniscus region of the continuous slab casting mould

2009· article· en· W2298161003 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

VenuecIRcle (University of British Columbia) · 2009
Typearticle
Languageen
FieldEngineering
TopicEngineering Technology and Methodologies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsHeat transferContinuous castingSlabCastingMeniscusMechanicsMechanical engineeringEngineering drawingMaterials scienceEngineeringComposite materialGeometryMathematicsStructural engineeringPhysics

Abstract

fetched live from OpenAlex

The objective of this investigation was to characteristize the heat transfer phenomena related to the Submerged Entry Nozzle (SEN) and its role on the heat transfer of the liquid steel in the meniscus region of the mould broad face. The investigation has been conducted based on a previous plant trial at Stelco’s Lake Erie. A mathematical model, which includes the SEN and the liquid steel, was formulated. The heat transfer in the SEN was examined by performing a two - dimensional finite difference model with the Alternating Direction Implicit (ADI) method. The influences of the SEN on the steel heat transfer in the meniscus region was studied under various conditions. The heat transfer of the liquid steel was investigated (i) by a plug flow model for the liquid steel flowing through the SEN tube and (ii) by a one-dimensional finite difference model for the liquid steel in the meniscus region. The modeling results revealed that the SEN absorbs heat from the liquid steel both inside the SEN tube and in the meniscus region, and loses heat to the atmosphere through its exposed surface above the meniscus; the liquid steel falling through the SEN tube has a temperature drop of about 2.4°C from the SEN entrance to exit for a SEN length of 0.7 m; about 30% of the superheat extracted of the liquid steel in the meniscus region is absorbed by the SEN. Many factors, such as the thermal properties of the SEN sleeve and body materials and the mould flux insulation depth and performance, have influences on the heat transfer of the SEN and then on the heat transfer of the liquid steel in the meniscus. The distance between the mould broad face and the SEN is also an important factor which influences the severity of the cooling effect of the liquid steel in the meniscus caused by the SEN heat transfer. With the shorter distance between the mould broad face and the SEN, the cooling effect of the liquid steel is more pronounced. The SEN tube length, especially the length above the meniscus, has an effect on the temperature drop of the liquid steel inside the SEN. The results of this work showed the importance of the heat transfer of the SEN regarding to the casting process and provided guidelines for improvements on slab surface quality and operating practice.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.495
Threshold uncertainty score0.276

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 head0.021
GPT teacher head0.186
Teacher spread0.165 · 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