Physical and Mathematical Modelling of Inert Gas Shrouding in a Tundish
Bibliographic record
Abstract
Inert gas shrouding practices in water model tundishes were mathematically simulated using the finite volume based program ANSYS 12. The fluid within the tundish and the ladle shroud was assumed to be Newtonian and incompressible (water), and the flow within the shroud was assumed to be predominantly bubbly i.e. discrete bubbles are formed, and these move down the shroud along with the down-flowing water. Thus, the numerical model was developed using the Discrete Phase Modeling (DPM) approach, along with the standard k-ε turbulence model with two way turbulence coupling. Predicted flow fields, slag behaviour and bubble trajectories were investigated and then compared with experiments in the full scale and one third scale water model tundishes. Various experimental measurements compared well with predictions from the mathematical model, which was shown to slightly over-estimate depths of penetration of the bubble column by 5–15%.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".