Features of the construction of single-tier top tuyeres for oxygen converters
Bibliographic record
Abstract
Expected steel production in Ukraine in 2024 is projected to exceed the 2023 output by 17%. Up to 75% of global steel production is carried out using the oxygen converter process. In Ukraine, the capacity of converter production is concentrated at PJSC ArcelorMittal Kryvyi Rih, PJSC Dnipro Metallurgical Plant, and PJSC Kamet Steel. For the oxygen converter process, in addition to the converter agregat one of the most important components of the equipment is the top tuyere. In this work definition and explanation of the top tuyere operating principles are provided. Continuous development and improvement of top tuyere constructions since their inception have led to various construction features. To explain these, the concepts of nozzle group, tier, and row of an oxygen converter top tuyere are introduced in this work. The general structure of a classic top tuyere is presented. The main design features of single-nozzle and multi-nozzle top tuyeres are characterized. It is noted that, according to the cooling principle, top tuyeres with central and peripheral water supply are distinguished. A classification of top tuyere tip is provided based on the number and type of nozzles and the manufacturing method. It is noted that multi-nozzle top tuyeres with Laval nozzles in the tip with quantity from 3 to 12 are the most widely used in leading metallurgical countries, and in Ukraine, those with 4, 5, 6 nozzles in tip. According to the formulated notions for the nozzle group, tier, and row, such top tuyeres are defined as single-tier multi-nozzle, corresponding to the trend towards the development of multi-tier and multi-row top tuyere designs. It is important to note that the correct selection of the top tuyere affects a number of parameters of the converting melt process, advantages and disadvantages of the oxygen converter method compared to the open-hearth and electric steelmaking processes. It is determined that further development of new top tuyeres should be aimed at strengthening the existing and creating new advantages of the converter steelmaking process while simultaneously eliminating its drawbacks.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".