Magnetic Damping of Liquid Steel Flows in Horizontal Single Belt Casting (HSBC)
Bibliographic record
Abstract
Abstract A preliminary computational fluid flow model has been developed to simulate the magnetic braking of liquid steel on a water-cooled, rapidly moving, horizontal belt. The liquid steel issuing from the proposed vertical slot-nozzle should ideally move isokinetically with the belt during freezing. In this study, ANSYS Fluent 14.5 software was used to model the 3-D turbulent flow of liquid steel. A 288 core High Performance Computer cluster located at the McGill Metals Processing Centre was used for high-speed computation. The standard k–ε model was used to simulate the turbulence. Similarly, the magnetic induction method was used to calculate the induced heterogeneous magnetic field, from which the current density and electromagnetic forces produced were computed. The behavior of the proposed magnetic flow control was first validated against previous experimental work and was then applied to predict the performance of the proposed slot nozzle. The predicted results show that by applying a DC Magnetic brake to the proposed metal delivery system, near isokinetic conditions can be rapidly established.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".