Computational fluid dynamics analysis on the Convergent Nozzle Design
Bibliographic record
Abstract
Now the world is moving closer to the other planet. As we are searching for the new planets for living we had found that rockets are the only way capable to take the people from earth to the different planets, so scientist and engineers are focusing more on new rocket design which will be more efficient and more powerful in future, for example SpaceX company have rocket model SN 8 which have ability to take the humans to the mars. In rockets, the nozzle used for exhaust the gases at high speed which produced by the combustion of propellants. Today we have different type of rocket nozzle like conical, bell or convergent divergent nozzles. In this paper we will discuss about the convergent and divergent nozzle design with varying inlet and throat area or throat area ratio and will seethe variation in aerodynamic parameters and analyze all three designs on the ANSYS software which is computational fluid dynamic software. In rockets, convergent divergent shape is mostly used as nozzle which is also known as de-laval nozzle.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".