Roll Damping Analysis of Crew Escape Vehicle with Grid Fins at Subsonic and Transonic Mach Numbers
Bibliographic record
Abstract
Crew Escape Vehicle (CEV) is a man rated vehicle, which is used to eject the crew module from main rocket in an emergency situation so that the crew can be saved.Grid fins are employed in this vehicle for aerodynamic stabilization.Aerodynamic characterization is quite crucial for mission simulation and studies.Static and dynamic aerodynamic coefficients govern aerodynamic behavior among which roll damping derivative represents aerodynamic damping due to roll motion.Roll damping derivatives are obtained from wind tunnel tests for range of Mach numbers but sparse data is available due to cost overhead hence CFD has been employed for same.Forced oscillation technique using CFD++ software has been validated for Basic Finner configuration and same has been applied for CEV in current studies.Roll damping derivative are obtained for CEV and compared with wind tunnel results.Current studies have been carried out for subsonic and transonic Mach number but can be extended to supersonic Mach number.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".