Development of Swirling Flow Submerged Entry Nozzles for Slab Casting
Bibliographic record
Abstract
We have started a development of swirling flow submerged entry nozzles in 1997 as a fundamental and effective measure for controlling flow pattern in continuous casting molds.As a first step, we have developed a swirling flow submerged entry nozzle for round billet casting in Wakayama works. Then we started the development of swirling flow submerged entry nozzles for slab casting. A main purpose of our development was to prove the effect of the swirling flow formation in submerged entry nozzles which improve quality of products and productivity of continuous casting processes. We have examined swirling flow submerged entry nozzles with swirl blade in these main bodies, because that was the easiest way to apply swirling flow to submerged entry nozzles in continuous casters without any investment of facilities. We had only to change a submerged entry nozzle for the experiment.Swirling flow submerged entry nozzles for slab casting have been developed and examined in Wakayama and Kashima works. As a result of these examinations, the effect of the swirling flow formation in submerged entry nozzles was evaluated to increase casting speed and improve surface quality of slabs and steel sheets.
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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".