Bibliographic record
Abstract
目前关于超声速旋流分离器内天然气凝结液化过程的研究较少，为此，通过数值模拟计算对Laval喷管内气体凝结液化过程进行研究，并分析喷管结构对凝结液化的影响。研究结果表明，甲烷气体在喷管内发生了自发凝结现象，但凝结冲波现象并不明显，这与甲烷气体凝结过程液滴生长较慢且凝结潜热较小有关；随着喷管膨胀率的增大，气体过冷度增加越快，其能更早达到凝结液化条件（Wilson点）；喷管内最大成核率、液滴数目及湿度（液化率）均随膨胀率的增大而增大，膨胀率从6 000 s-1增大到12 000 s-1，成核率最大值增加154.8%，液滴数目增加79.5%，喷管出口湿度增加51.7%，较大程度提高了液化率；对于扩张段长度固定的喷管，过大膨胀率将导致气体温度或压力低于三相点而无法液化；不同膨胀率及不同入口条件下液化率均较低，需进一步开展多级液化研究。
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.008 | 0.010 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.015 | 0.003 |
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".