Adiabatic Carbon Rate of Alternative Ironmaking Processes to Produce Hot Metal
Bibliographic record
Abstract
Abstract From economic viability and sustainable development of view, the future alternative ironmaking processes, in general, may be classified into two representative routes, “Pre‐reduction‐Smelting reduction” process and “Direct reduction‐Melting” process. In the present work, aimed for hot metal production, the carbon rate (in kg tHM−1) is considered as the yardstick for the measurement of the “goodness” of these two processes, because it reflects the consumption of coal and energy, and the amount of carbon dioxide eventually to be emitted to atmosphere. By the thermodynamic calculation, under the idealized conditions, the total adiabatic carbon rate along “Direct reduction‐Melting” process is approximately 145 kg tHM−1 lower than that along “Pre‐reduction‐Smelting reduction” process. Therefore, direct reduction would likely lead to an alternative process with much lower carbon rate, and it should be reasonable and successfully developed.
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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 | 0.001 | 0.000 |
| 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) | 0.002 | 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".