Substitution of Coke and Energy Saving in Blast Furnaces. Part 1. Characteristics of Technology and Uneven Processes―Cognition, Calculation, Forecast
Bibliographic record
Abstract
Blast melting is one of the few industrial technologies that preserve the essence and significance by all technical revolutions. This phenomenon exists due to certain properties of the system that ensures exponentially increasing the productivity and linearly lowering the coke rate, that seeks to 200-250 kg/thm. The solution of problems of blast-furnace smelting involves the solution of two analytical tasks: study of the relationship of real parameters and characteristics of the blast melting; forecast of expected parameters and processes on preset parameters of work of the blast melting. The first task is solved on the basis of balance equations of conservation of mass and energy, the second-based on the method of numerical modeling of processes in radial annular cross-sections along the height of the furnace: multi-zone model of heat-and mass transfer; physico-chemical transformations and mechanics of material and gases. During the numerical and analytical investigation it was shown that the peripheral part of the blast furnace is characterized by the minimum process of direct reduction and also shown that the uniform distribution of burden load provides the minimum fuel consumption.
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".