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Study of scull and lining in the hearth of blast furnace No. 2 of JSC EVRAZ ZSMK (Report 2)

2018· article· en· W3176694374 on OpenAlex
A. M. Коverzin, V. G. Schipizyn, A. V. Vaschenko, A. S. Bliznyukov, М. Р. Садрадинов, А. Р. Макавецкас, Yu. A. Fischenko

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueFerrous Metallurgy Bulletin of Scientific Technical and Economic Information · 2018
Typearticle
Languageen
FieldEngineering
TopicIron and Steelmaking Processes
Canadian institutionsEVRAZ (Canada)
Fundersnot available
KeywordsMeliliteMetallurgyBlast furnaceSlag (welding)Materials scienceZincGround granulated blast-furnace slagIron oxideCarbideCement

Abstract

fetched live from OpenAlex

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 (Fe 3 C) inclusions, complicated carbides of variable composition (Fe х Si y C z ), 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%.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.502
Threshold uncertainty score0.266

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.011
GPT teacher head0.216
Teacher spread0.205 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it