Dissolution kinetics and mechanisms of calcium aluminate inclusions in CaO-Al2O3-SiO2-(MgO) steelmaking slags
Bibliographic record
Abstract
: The dissolution kinetics and mechanisms of solid calcium aluminate inclusions (CaO∙2Al 2 O 3 (CA2) and CaO∙6Al 2 O 3 (CA6)) in CaO-Al 2 O 3 -SiO 2 -(MgO) metallurgical slags at 1550°C were investigated using high temperature confocal laser scanning microscopy (HT-CLSM). The effects of slag viscosity, CaO/Al 2 O 3 (C/A) ratio, and MgO content on the dissolution time of CA6 and slag MgO content on that of CA2 particles were examined by tracking the time dependent changes of particle projection areas. The obtained results showed that the dissolution kinetics of CA2 and CA6 particles was enhanced by an increase in slag MgO content. Moreover, increasing C/A ratio of slag or decreasing slag viscosity improved the dissolution rate of CA6 particles. Post dissolution analysis using scanning electron microscopy equipped with energy dispersive X-ray spectroscopy (SEM-EDS) combined with thermodynamic calculations revealed the dissolution paths of CA6 particles in slag S3 with C/A ratio 3.8 and S6 with 8.0 wt.% MgO, where the dissolution time is out of expectation. It was found that an intermediate solid layer melilite formed around the undissolved CA6 particle in slag S3 with C/A ratio 3.8, reducing its dissolution rate. Conversely, the formation of randomly dispersed intermediate solid products around the undissolved CA6 particle in slag S6 with 8 wt.% MgO did not impend their dissolution rate. Finally, based on the obtained findings, two distinct dissolution mechanisms were proposed advancing the understanding of solid inclusion dissolution in metallurgical slags. The findings obtained from this study aim to provide new insights to further improve steel cleanliness for a longevity of the product service life.
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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) | 0.000 | 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".