Study of scull and lining in the hearth of blast furnace No. 2 of JSC EVRAZ ZSMK (Report 2)
Bibliographic record
Abstract
Results of study of scull and lining composition from the hearth of blast furnace No. 2 of JSC EVRAZ ZSMK after stop for capital overhaul quoted. It was determined, that due to microprobe chemical analysis data, considerable quantity different minerals and metals can be discovered in the scull and in the lining. But chemical analysis of averaged samples and their X-ray structure analysis allows to state, that the scull is formed during crystallization of heat products – cast iron and slag. Therefore the scull base is the following: – metal, in the content of which α-Fe prevails with iron carbides (Fe3C) inclusions, complicated carbides of variable composition (FeхSiyCz), iron and graphite sulfides and phosphides, as a rule, of laminar structure; – graphite in the form of separate phase; – slag components, melilite and anorthite being the base of them (minerals, formed during crystallization of slag of blast furnace heat). At the level of hot metal tap hole and higher the scull and lining are saturated by alkaline metals accompanied by forming leucite, caliofilite, calcilite, zinc (zinc oxide, ganit, willemite in samples), sulphur with forming of sulphides, phosphor (iron phosphides in metal, apatite in slag). Lower the level of tap hole the number of slag inclusions in the scull is not considerable, zinc and alkaline metals were not discovered. In all the samples content of silicon, silicon carbide, carbides, nitrides, titanium carbonitrides in total does not reach level of 5%.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.002 | 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".