Computational Analysis on De Laval Dual Throat Micronozzle
Bibliographic record
Abstract
View Video Presentation: https://doi.org/10.2514/6.2021-2031.vid The developing field of small satellites in space research is a big leap in the space technology. With the field of small satellites expanding, the need for a precise and effective micro propulsion technology is increasing. Micro cold gas thrusters are used for precise manoeuvring and attitude control. Employing a dual throat micronozzle configuration increases the effectiveness of the micro thrusters by meeting the requirements of thrust vectoring efficiency and precise manoeuvring of the satellite. In this paper, the research has been done on the effects of the dual throat configuration in supersonic De Laval micronozzle. The aim of the paper is to lay down an efficient dual throat micronozzle model. Simulations are performed on various configurations of the micronozzle by varying the convergent-divergent angle and the secondary injection blow rate. The secondary injection angle is also considered as a performance characteristic for the paper. The final discussion is done on the most optimized model obtained through the simulations.
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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) | 0.001 | 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 | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".