Development of ball production at EVRAZ NTMK JSC.
Bibliographic record
Abstract
In connection with expansion of mining production, the need for grinding balls. In connection with this, several new ball rolling mills were put into operation, one of which is the 60–120 mill at EVRAZ NTMK, which is currently one of the leading mills in this area. This ball rolling mill only mill where 5 grade large diameter balls are produced (100, 120 mm). The further development of grinding ball production is relevant, both in technology of their production, achieving high quality balls, energy processes efficiency and testing methods. Mill 60–120 has a high level of automation, including system for tracking float flow for each fabrication and conditional cells. Has system for automatically monitoring parameters throughout the entire technological chain of the site. On this mill, balls are produced with degree of geometry accuracy that is 5–8 times higher than GOST requirements. Brand assortment and heat treatment modes have been developed, intended for both cascade and waterfall types of grinding. Work is underway to continuously improve and improve quality of grinding balls, for which it is planned to build an R&D center. In this centre will house: an experimental hardening installation, an experimental ball mill, a Pin on Belt installation, a Dry Wheel installation, a diffractometer, a falling ball testing installation and many other installations. Them will need for research and development of new materials and technologies in order to improve quality of grinding balls.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.051 | 0.050 |
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".