Navier-Stokes Modeling of Gas Flows in a De-Laval Micronozzle
Bibliographic record
Abstract
A numerical study has been conducted to understand the gas flows in a De-Laval micronozzles using 2D continuum axisymmetric model, which solves the governing equations by a control volume method. The numerical model was validated with existing experimental data employing slip and no-slip boundary conditions at the wall. The numerical results showed good agreement with experimental data on exit thrust values except at low Reynolds number. For parametric studies on the effect of geometric scaling, the nozzle throat diameter was scaled from 10 mm to 0.1 mm and the throat Reynolds number was varied from 5 to 100. A correlation was developed to predict the specific impulse for any given throat diameter and throat Reynolds number. To understand the effect of chemical propellants on nozzle performance, propellants like helium, nitrogen, argon and carbon dioxide were selected for simulations at throat diameter equal to 0.1, 1 and 10 mm respectively for Rethroat varying from 5 to 2000.
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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 | 0.000 |
| 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 | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".