Numerical Study on N<sub>2</sub> Removal from the N<sub>2</sub>/He Mixture by Supersonic Separation Technology
Bibliographic record
Abstract
The application of supersonic separation technology in extracting helium from the N 2 /He mixture is the primary innovation of this work, holding noteworthy promise. To begin with, a numerical model is constructed, incorporating governing equations for gas–liquid phase and the condensation model. The study reveals that nitrogen nonequilibrium condensation can be accomplished using the Laval nozzle, demonstrating the potential for N 2 /He separation in the supersonic separator. Enhancing nitrogen nonequilibrium condensation within the Laval nozzle can be achieved by lowering the inlet temperature and raising the inlet pressure. Results show that nitrogen experiences intensive homogeneous nucleation over a short duration in the divergent section, leading to an ongoing rise in the nitrogen liquid mass fraction from 0% at the inlet to 10.5% at the outlet. This research verifies the viability of employing the Laval nozzle for nitrogen removal, carrying significant strategic implications for advancing nitrogen removal technologies in the recovery of helium from natural gas.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".