Manufacturing of Composite Helicopter Tailboom Using Automated Fiber Placement
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper briefly summarizes the manufacturing process of a composites helicopter tailboom prototype, with the focus on improving quality and productivity as well as reducing manufacturing cost. The ultimate goal of the project is to develop a stable and reliable automated fiber placement process for mass production of the composite tailboom. For this purpose, different fiber path generation scenarios were first explored in the early stage of the project. Information such as fiber angle deviations, gaps and overlaps were collected. Feedback was provided to the designers to further improve the tailboom design. Second, since fiber placement process is influenced by different variables, including layup speed, compaction force, heater temperature, humidity level, etc., the interactions of different process parameters were investigated. The optimum layup speed was identified under different conditions. Third, to achieve the quality requirements, methodologies were developed to reduce machine downtime and to track and repair manufacturing defects. As a result of the project, a one-piece, fiber placed composites tailboom was successfully manufactured.
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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 | 0.000 | 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) | 0.000 | 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