Improvement of Ladle Shroud Designs and its Effect on Fluid Flow Behaviour for Steelmaking through Computational Fluid Dynamics
Bibliographic record
Abstract
Currently, roughly two billion tonnes of steel are produced every year, using the ladle-tundish-continuous casting machines approach.The Ladle Shroud is an important device in Steelmaking, protecting the molten steel from oxidation during its transfer from the ladle into a tundish set below.The internal contours of Refractory Ladle Shrouds supposedly protecting it from re-oxidation to compromise steel properties can often result in air inhalation, unless this is compensated by argon gas shrouding.Either way, this presently leads to gas entrainment in the liquid jet of steel passing down through the shroud.The result is a turbulent, two, or three phase (with slag entrainment), flow within the shroud.Physical Modelling, and mathematical modelling (CFD) have been used to propose radically new designs to eliminate these two-phase flows.This then should allow the enhanced cleaning of steel by using microbubbles to remove sub-50 micron-inclusions.For the present results, the CFD ANSYS-Fluent v. 19.0 code has been used to study existing designs and to test new ladle shroud design concepts, by predicting transient multiphase flows during start-up and steady state operations.These have been confirmed using full-scale water models.The verified predictions are being used as a baseline for optimising the design of ladle shrouds for industrial applications within the steel industry.A significant improvement in steel quality and properties is anticipated.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".