Characterization of blast furnace slag particles generated by nitrogen jet granulation
Bibliographic record
Abstract
Abstract This paper reports an experimental study on the changes in the equivalent diameter and sphericity of flying molten slag particles in terms of heating temperature and nitrogen injection pressure. A high‐speed camera is used to continuously take images of the flying molten particles. Then the images are analyzed by mathematical image processing. With increasing heating temperature, the lower the viscosity, the stronger the fluidity, and the easier it is to be granulated into small particles under the spray of nitrogen. The results show that the equivalent diameter and sphericity of the particles with equivalent diameters remain the same during the flight. During the granulation of the particles, however, rod‐shaped particles gradually change to spherical ones, and the sphericity keeps increasing until it reaches a level. The average flying speed of the studied slag particles at the temperatures of 1400, 1450, 1475, 1500, and 1510°C is 4.0, 4.3, 4.5, 4.3, and 4.2 m/s, respectively. In addition, the higher the temperature, the longer the flight distance of the particles. By changing the gas injection pressure to 0.2, 0.3, 0.4, and 0.5 MPa, the average flying speeds of the studied slag particles are 2.8, 3.7, 5.5, and 8.4 m/s, respectively. This result proves that the higher the injection pressure, the greater the average flying speed of the particles.
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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".