Influence of oxygen enrichment method on the state of blast furnace raceway
Bibliographic record
Abstract
The numerical simulation is applied to compare the effect of the oxygen enrichment rates under different injection methods on the flow and combustion features. The alteration in the gas velocity follows a congruous pattern for constant air and oxygen enrichment (CAOE) method and the reduced air and oxygen enrichment (RAOE) method. The oxygen enrichment rate increases by 1% and the velocity at the tuyere increases by 2.92 and 0.78 m s −1 . The CAOE method has a more significant influence on the temperature and burnout of coal particles than that of the RAOE method. Furthermore, the burnout of coal particles at the exit of the raceway is 79.45% and 78.95%, at an oxygen enrichment rate of 12% under the conditions of the CAOE method and RAOE method. To improve the penetration capacity of the hearth and achieve higher burnout of pulverised coal, the CAOE method is recommended to enrich oxygen.
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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 | 0.001 |
| 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 | 0.001 | 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".