Study of scull and lining in the hearth of blast furnace No. 2 of JSC EVRAZ ZSMK (Report 1)
Bibliographic record
Abstract
Results of study of lining and scull of the hearth of blast furnace No. 2 of JSC EVEAZ ZSMK presented, done after BF stop for major overhaul. It was determined, that the scull has a zonal structure, due to different conditions of the forming of it during the furnace running and blowing-down. The scull consists of isolations of graphite, metal and slag inclusions having distinctly lamellar structure. Number of slag inclusions in the scull of the hearth walls lower the hot metal tap hole is not big and sharply arises in samples at levels above the tap hole. In metal structure within the scull ferrite (a-Fe) prevails, also there are some lamellar graphite isolations and perlite. Quantity and thickness of metal isolations in the samples increases from the scull periphery to the center of blast furnace (from 20–30% and tens of microns to 70–90% (mass) and 30–50 microns correspondently) and decreases from the lower part of the hearth wall to the upper one. Titanium nitride (osbornite) TiN and titanium oxide (rutile) TiO2, sulfides of calcium, iron, manganese, silicon carbide SiC present in the scull in a small quantity (less 2%). In samples taken higher the hot metal tap hole, in the scull slag isolations there are a considerable amount of alkali metals oxides and sulfides, and phosphide and iron sulfides were exhibited in the metal phase. It speaks about considerable evaporation/sublimation of compositions of potassium, sodium, Sulphur and phosphorus in the blast furnace hearth following by their condensation/crystallization at the cooled lining of hearth walls.
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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 | 0.001 | 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".