The numerical analysis on laval-nozzle flow field of the supersonic low-temperature swirling separator
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Bibliographic record
Abstract
Aim By analyzing the flow field of the Laval-nozzle,a core component of the supersonic low-temperature swirling gas-water separator,for improving the efficiency of gas-water separation,its theoretic research foundation is established.Methods Based on the principle of flow field numerical analysis and with aid of softer ware CFD,a number of physical factors influencing the fluid movement have been found.Results It is significant to influence the flow field by changing relative sizes of its each segment,including the determination of the critical section,simplification of the model of the gas flow and energy loss.Conclusion The conclusion is that the key to realize the low-temperature flow field of gas-water separation is the flow speed through the throat of the Laval-nozzle of gas-water separator must be twice as a Mach number or more.
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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 | 0.001 |
| 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