Low-overload internal ballistics in UAV ejection using multiple time-sequenced compressed-air chambers
Why this work is in the frame
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Bibliographic record
Abstract
Compressed-air ejection systems are characterized by short actuation times and high instantaneous flow rates, which subject unmanned aerial vehicles (UAVs) to significant overloads during launch. These conditions impose stringent structural requirements on UAVs, adversely affecting weight and cost control. To achieve a high launch velocity with low overload, this study proposes a multi-chamber ejection method with time-sequenced actuation. This approach is based on an internal ballistics model that incorporates real-gas properties. This approach reduces launch overload while maintaining the required muzzle velocity. An internal ballistics model for UAV compressed-air ejection has been developed and experimentally validated, utilizing real-air properties. Furthermore, a multi-chamber ejection strategy was introduced. Simulations were conducted to analyze the internal ballistic performance of systems with two or three identical or different high-pressure chambers. The results demonstrate that using multiple chambers significantly reduces the maximum overload-by 20.91%, 26.08%, and 33.24% for two identical, two different, and three different chambers, respectively-while achieving the same muzzle velocity as a single-chamber system.
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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 | 0.001 | 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) | 0.000 | 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 it