Shear pin design for the fins on C-SCOUT
Bibliographic record
Abstract
Shear pins are used to attach C-SCOUT's fins to their actuating motors, so if something impacts the fins, the shear pins will break and the fins will fall off, thereby protecting the motors from damage. An analysis of the strength of the existing Garolite shear pins showed that they will fail during normal operation. It is possible for the fins to break off when the vehicle speed exceeds 2 m/s. Exact failure speeds depend on the angle of attack of the fins. To fix the problem, re-design of the shear pins was attempted, basing the new shear pin strength on the load required to damage an actuator. It was found that the bearings in the actuator's gearbox will be damaged during normal operation, at speeds exceeding 1.3 m/s. Therefore, the motor will be damaged before the shear pins break, so creating stronger shear pins is not a solution that will protect the motors. Stronger fin actuators should be purchased. The potential for damage to the motors due to operational and impact loads should be considered when selecting a motor. Once new motors are selected, the method described in this report can be used to design appropriate shear pins. Until new actuators and shear pins are installed, C-SCOUT testing can proceed under a 2 m/s speed limit.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".