Scrap melting in continuous process rotary melting furnace Part 1 – Bench scale furnace trials
Bibliographic record
Abstract
A heat transfer model was developed for scrap melting in an oxyfuel fired continuous process rotary melting furnace (CPRMF), which was envisioned as a replacement for the electric arc furnace in minimill steelmaking. The results are presented in a two part series. This first paper describes the bench scale CPRMF, the experimental procedure, and the operational results which will be used to validate the model. Two groups of copper melting trials were performed to explore aspects of furnace operation such as oxygen enrichment and slag thickness. The experimental results indicated that furnace thermal efficiency was significantly improved by moving from 37 to 80% oxygen in the combustion air and, extrapolating the results, would be ∼30% for oxy fuel firing. With the constant oxygen level of 53%, the introduction of a slag layer significantly lowered the efficiency from 22 to 18% for 1·3 cm slag and 12% for 2·5 cm slag.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| 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 | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".