ФОРМИРОВАНИЕ МАГНЕЗИАЛЬНЫХ ШЛАКОВ РАЦИОНАЛЬНОГО СОСТАВА ПРИ КОНВЕРТЕРНОМ ПЕРЕДЕЛЕ ВЫСОКОФОСФОРИСТЫХ ЧУГУНОВ И НАНЕСЕНИЕ ИЗНОСОУСТОЙЧИВОГО ШЛАКОВОГО ГАРНИСАЖА НА ФУТЕРОВКУ С ПРИМЕНЕНИЕМ МАГНЕЗИАЛЬНОГЛИНОЗЕМИСТОГО ФЛЮСА
Bibliographic record
Abstract
The conversions of high-phosphorus cast iron in course of steelmaking in 300-t oxygen converters under the magne- sia slags of the rational composition at the «ArselorMittal Temirtau» Stock Company are regarded in the article. The special technology is developed and considered which in- cludes both the forming of the saturated magnesia slag (8–11 % MgO) with the basicity 3,0–3,4 till the end of the oxygen lancing process and the installation of hard-wearing skull coating (with the durability 1–2 meltings) on the lining in course of slag’s blowing with high-pressure nitrogen and with magnesia-alumina flux (MAF) additions. The application of MAF provides the MgO’s high concentration in the slag (up till 9–10 %) with the keeping of needed limit of phosphorus removal (97,1–98,1 %) given that the average phosphorus content in the metal is 0,013–0,017 %. Ill. 3. Tab. 1.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.023 | 0.007 |
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".