Numerical simulation of gas flows in a De-Laval micro nozzle
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 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. Parametric studies included the effect of geometric scaling via scaling down of throat diameter for various throat Reynolds numbers and the effect of chemical propellants on the integrated performance of the nozzle. 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 and presented 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 and simulations were conducted for 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 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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".