Real-Time, Optical Measurement of Gas Temperature and Particle Emissivity in a Full-Scale Steelmaking Furnace
Why this work is in the frame
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Bibliographic record
Abstract
This article summarizes the successful implementation of a novel technique for measuring gas temperature and particle emissivity in real time at the mouth of a full-scale basic oxygen furnace (BOF). Both the technique and the data presented here may be useful to both process-control professionals interested in energy balances and computational fluid dynamic (CFD) modelers seeking in-situ data for their specific radiation heat-transfer submodels and temperature-boundary conditions. A description of the sensor, the retrieval algorithms, and the assumptions associated with each is included. The technique is based on midinfrared-emission spectroscopy. Results from a campaign spanning seven heats at a 168-tonne converter with data points every 2 seconds have been reported. During decarburization, the average off-gas temperature and particle emissivity were 1471 K and 0.55, respectively, for low-carbon heats (aim carbon <0.08 pct), and 1517 K and 0.36, respectively, for high-carbon heats (aim carbon >0.30 pct). Practical issues, validation of the assumptions, and measurement uncertainty are discussed. This technique may be applicable to other metallurgical batch processes in which large columns of high-temperature off-gases containing CO, CO 2 , and particles are present.
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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 it