Effects of Pre‐Reduction Degree of Ironsand on Slag Properties in Melting Separation Process
Bibliographic record
Abstract
Ironsand is a kind of titanomagnetite ore and has been maturely used through direct reduction (DR) and melting separation (MS) processes. As an intermediate parameter, pre‐reduction degree (PRD) can be controlled in the upstream DR, and has a considerable influence on metal/slag separation in subsequent MS. Thus, the effects of PRD on the properties of melting separation slag from pre‐reduced ironsand are studied in order to ensure the melting separation sufficient at the condition of slag with high titanium oxide content. The softening, melting, and flowing temperatures of slag show different variation trends along with PRD changing, and the slag at 90% PRD has the narrowest softening‐flowing temperature interval. The viscosity of slag of 90% PRD also shows the proper smelting characteristic. Moreover, Raman spectra results indicate the increase PRD reduces the depolymerized product Si–O–M (metal), which is mainly caused by the decreasing of network‐modifier FeO. Polymerization degree ψ (( Q 3 + Q 2 )/( Q 1 + Q 0 )) illustrates the high PRD is consistent with the complicated silicon network structures, especially when PRD is larger than 90%.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 teacher head, 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".