Research on the Optimization Design of Supersonic Swirling Separator
Bibliographic record
Abstract
Supersonic swirling separator had a good ability in separating gas-liquid. In this paper, the Laval-nozzle and straight-tube of the non-central cone supersonic swirling separator were optimized designing. The separation performance of the optimized supersonic swirling separator was researched by CFX. The results show that,with the relative pressure ratio decreasing, the shock waves which occurred in the diffuser moved towards the extraction device, the maximum Mach number decreasing. When the relative pressure ratio down to 1.4, the outlet total pressure recovered to 73% of the inlet total pressure, the flow in the divergent section of Laval-nozzle and the straight-tube was supersonic, the lowest temperature can be down to-84.5°C and the maximum centrifugal acceleration was 261,800g, which provided a swirling and cold environment for the separation of gas-liquid; With the straight-tubes length-diameter ratio increased, a normal shock wave occurred in the straight-tube. Further increased the length-diameter ratio, the normal shock wave moved towards the throat and the strength of the shock wave was increasing, which was a disadvantage to the separation of the gas-liquid.
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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 | 0.001 | 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".