Bibliographic record
Abstract
A 1/4 scale Plexiglas model of a copper converter has been used to measure the fraction of gas absorbed during horizontal gas injection. In this work, sulphur dioxide gas was injected into hydrogen peroxide solution under conditions where mass transfer in the gas phase was rate limited. The SO₂ absorption rate was measured as a function of the gas flow rate, tuyere submergence, number of tuyeres, and percent filling. The fraction of gas absorbed correlated well with the total trajectory length which included the spout height. It increased with tuyere submergence but decreased with the air flow rate and remained almost constant after a certain flow rate. The mass transfer parameter, k[sub SO₂], was computed from the results. It compared favourably with the work of previous investigators but could not be used to explain some of the results, especially, the effect of gas flow rate on the fraction of sulphur dioxide absorbed. Further analysis of the experimental results was based on bubble formation period and rise time. The fraction of gas absorbed increased with total residence time. About 74% of the injected gas was absorbed during the formation period. A mechanism to explain the overall absorption was proposed. An equation relating the absorption efficiency and the residence time was obtained for the physical model. This method was extended to the analysis of industrial data for the comparison of measured and predicted oxygen utilization efficiency.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".