Mold slag property measurements to characterize CC mold - Shell gap phenomena
Bibliographic record
Abstract
Multi-faceted experiments were conducted to measure the properties of several mold slags, needed for fundamental characterization of heat transfer and friction in the interfacial gap between the shell and mold during the continuous casting of steel. A novel apparatus was used to measure the friction coefficient between solidified mold flux and copper at elevated temperatures. The measured softening temperature is interpreted to extrapolate the slag viscosity-temperature curves far into the low temperature - high viscosity region. Continuous-cooling transformation curves were extracted from XRD analysis of DSC test samples and thermocouple dip tests. Time-temperature transformation curves were obtained from similar analysis of melted mold powder samples that were atomized into droplets, quenched to form glass, and then partially devitrified by reheating to different temperatures for different times and quenched. Polarized light microscopy, SEM, and EDX analysis revealed distinct crystalline and glassy layers, but no severe macro-segregation in a tail-out slag film taken from an operating caster. The results from these new measurements have important implications for the prediction of interfacial gap phenomena, including mold heat transfer, friction, slag layer fracture, and steel surface quality.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.003 | 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 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".