Stepwise recovery of metal element from blast-furnace magnesium slag by hydrometallurgy
Bibliographic record
Abstract
A route for selective recovery of magnesium (Mg), iron (Fe), and silicon (Si) from blast-furnace magnesium slag was studied in this paper. The experimental results demonstrated that under favourable conditions, such as sulfuric acid concentrations of 6% weight in weight (w/w), solid-liquid ratio (S/L) of 1:30, temperatures of 80°C, and a time of 30 min, the leaching rates of Mg, Si, and Fe can be reached up to 85.86%, 63.80%, and 17.04%, respectively. Flocculation desilication was used to remove Si up to 85.7% from the filtrate, and amorphous SiO2 was obtained with a purity of 95.8%. A significant level of effectiveness has been achieved in utilising ammonia neutralisation to eliminate iron (Fe) from the filtrate, with an impressive removal rate of 99.73%. Finally, a filtrate with a high concentration of magnesium (Mg) was obtained.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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 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".