Development of a Helicopter Hydroformable Skid Landing Gear Cross Tube
Bibliographic record
Abstract
This paper proposes a novel method to design and manufacture skid-type landing gear cross tubes for light helicopter using Tube Hydroforming (THF). Hydroforming is a promising alternative to conventional fabrication methods, with the potential of reducing costs, weight and environmental footprint by reducing raw material consumption and chemical milling operations. A proof of concept design of a helicopter skid gear forward cross tube manufactured using THF is presented and analyzed. The cross tube is built from an extrusion of high strength aluminum 7075-T73511 alloy which is bent and hydroformed to its final shape. The cross section of the base tube is formed to a rectangular optimized shape with varying dimensions along its length to reduce weight while improving its mechanical behavior. The optimization was aimed at minimizing loads reacted during drop tests while maintaining proper energy absorption by plastic deformation and ground clearance. Simulations of drop tests and loading under various conditions were carried out using Abaqus to determine energy absorption, deflection and ground loads on a skid landing gear equipped with the hydroformed cross tube.
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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".