Scrap melting in continuous process rotary melting furnace Part 2 – Development of model
Bibliographic record
Abstract
A heat transfer model for scrap melting in an oxy fuel fired continuous process rotary melting furnace, which was envisioned as a replacement for the electric arc furnace in minimill steelmaking, is presented in a two-part series. The present paper describes the development, validation and predictions of the model. The model treats the furnace as three domains: the freeboard space, the liquid bath, and the refractory structure, all linked by shared boundary conditions. The model predictions indicate that a melting rate in order of 100 ton h−1 can be achieved by a 4 m (inner diameter) × 16 m furnace operating with a CH4 firing rate of 6000 nm3 h−1. The thermal efficiency is ∼66%. The direct energy consumption is 620 kW h t−1, which is less than the 660 kW h t−1 of a typical electric arc furnace and represents a saving of ∼45% in terms of at source energy, i.e. accounting for the actual energy required for thermal generation and transmission.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".