Numerical simulation of swirling flow characteristics of supersonic swirling natural gas separator
Bibliographic record
Abstract
Supersonic swirling natural gas separator is a revolutionary gas conditioning technology compared with traditional low-temperature separation.In supersonic swirling separator,while the gas stream passing through Laval nozzle,the gas stream forms supersonic low-temperature stream with small liquid droplets because of adiabatic expansion effect of nozzle.The gas mixture enters the wing section and turns into swirling flow from axial flow by the action of supersonic wing,and then gas and condensed liquid drops are separated in the drainage section.The supersonic wing is a key component of supersonic swirling separator.Deltaic plate supersonic wing was designed.By using CFD software,the supersonic swirling flow field was studied,and the distributions of the temperature,pressure,Mach number in the wing section and tangential velocity along longitudinal section were analyzed.Supersonic swirling characteristics of gas in the wing section were determined.The results show that the gas in the supersonic wing section can always maintain supersonic velocity.The Mach number in the wing section outlet is 1.4 and there is no shock wave before the wing section.The maximum swirling accleration is 572 000 g.The gas-liquid separation of supersonic gas can be realized well.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".