Coking of rammed coal charges. Gas coal content ≥ 40%.
Bibliographic record
Abstract
COKING OF RAMMED COAL CHARGES. GAS COAL CONTENT ≥ 40% N.V. Mukina (Coke-chemical production of PJSC “ArcelorMittal Kryvyi Rih", 50095, Kryvyi Rih, Krivorozhstal st., 1, Ukraine), D.V. Miroshnichenko, Doctor of Technical Sciences (National Technical University "Kharkiv Polytechnic Institute", 61002, Kharkov, Kirpichev str., 2, Ukraine) Preliminary studies have shown that an increase in the sintering ability, determined by both plastometric and petrographic methods, and the coking capacity of a charge with a gas coal content of ≤ 40% leads to an improvement in the mechanical strength of blast-furnace coke. Graphical and mathematical dependencies have been developed to predict the mechanical and post-reaction strength indicators, as well as the reactivity of blast-furnace coke obtained from a rammed charge with a gas coal content of ≤ 40%. This paper presents similar studies, however, using coal mixtures characterized by the content of coal of the gas group ≥40%. The coal concentrates of the operating coke-chemical production, which are part of the coal charge for tamping, were studied. The initial samples were studied using a set of standardized methods with the determination of data from technical, petrographic and granulometric analysis, as well as the chemical composition of the ash. In addition, in the samples taken, the value of the Hardgrave’s grind ability coefficient and the expansion pressure in the tamped form were determined. Laboratory coking of coal charges was carried out in a five-kilogram laboratory furnace. The tamped cake was made in a separate collapsible matrix. Based on the results of experimental coking, it was found that the mechanical strength of coke obtained from coal charges, characterized by an increased (more than 40%) content of gas group coal, is most affected by the degree of metamorphism (Vdaf, R0) and expansion pressure (P10). Mathematical and graphical dependences have been developed to predict the mechanical (P25, I10) and post-reaction strength (CSR), as well as the reactivity (CRI) of coke obtained from coal blends characterized by an increased content of gas group coal. Keywords: coal, rammer, coke, mechanical strength, reactivity. Corresponding author D. V. Miroshnichenko, e-mail: dvmir79@gmail.com
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.
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 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.007 | 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".