Exploring the Behavior of a Coherent Flow Field Produced by a Shrouding Laval Nozzle Structure
Bibliographic record
Abstract
For achieving a better stirring effect, the coherent jet technology has been widely adopted in the metallurgy field; a key feature of this technology is the use of a combustion flame to protect the main oxygen jet. In this paper, a shrouding nozzle with a Laval nozzle structure using preheating technology is introduced. The effect of the shrouding gas flow rate on the behavior of the main oxygen jet is investigated at room and high ambient temperatures. A computational fluid dynamics model has been built to investigate the flow field of the coherent jet in simulation studies. In addition, an experimental study has been carried out to verify the results of the numerical simulation. Based on the results, the new method improves the shrouding gas velocity and forms a low-density zone, which makes its velocity potential core length 178% and 174% longer than that generated by the traditional method at room and high ambient temperature, respectively. However, the shrouding jet forms a shock wave at the exit of the Laval nozzle, which results in removing kinetic energy from the main oxygen jet. As a result, the axial velocity of the coherent jet is smaller than that of the conventional jet, and the velocity variation increases as the flow rate increases.
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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) | 0.000 | 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 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".