NUMERICAL ANALYSIS OF THE EFFECTS OF STREAMLINING GEOMETRY AND A VECTOR WALL ON THE THERMAL AND FLUID FLOW IN A SRU THERMAL REACTOR
Bibliographic record
Abstract
To resolve the abnormality of a SRU thermal reactor under high temperature operation and to improve the recovery of sulfur, the effects of streamlining geometry and a vector wall on the thermal and fluid flow in a SRU thermal reactor are investigated numerically. It is found that the compression effect caused by a streamlined zone 1 corner leads to an increase in the average temperature. However, the corner recirculation zone using a streamlined zone 1 corner becomes smaller and this yields a reduction in temperature. The combined effect of compression and a smaller corner recirculation zone leads to an optimal radius of curvature at the zone 1 corner. The lowest peak temperature is obtained using a radius of curvature 1m at the zone 1 corner. With larger radii of curvature at the zone 1 corner, the compression effect overwhelms the effect of a smaller corner recirculation zone and the peak temperature is higher. The specific arrangement of the vector wall holes results in a spiral motion behind the vector wall. The average temperature increases and becomes more uniform across a vector wall. The peak temperature and the exit sulfur concentration are higher using a vector wall. Finally, the skin friction coefficient increases abruptly across a vector wall but becomes lower downstream, compared with using a choke ring. The results of this paper are helpful in improving the performance and safety of a SRU thermal reactor.
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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".