Optimization of fiber orientation and layer thickness in thin carbon fiber-reinforced plastic curved structures
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
In automated carbon fiber-reinforced plastic (CFRP) lamination technologies, such as AFP, the design of the path for accurate tape application is challenging. Therefore, a molding technology that allows the use of variable tape widths and thicknesses, which are fixed in previous methods, is currently being developed. Fiber orientation and layer thickness should be optimized in a 2D plane. However, for structures with free-form surfaces, such as propellers, three-dimensional (3D) manufacturing design becomes necessary. A method is proposed here for optimizing the fiber orientation and layer thickness of a prepreg tape for a 3D propeller model with a curved surface structure. This method enables curve boundary-agnostic tape lines, by projecting curves created on a two-dimensional plane onto a curved surface. Multi-objective optimization with displacement and weight as objective functions reduced the displacement by 20.0% while maintaining strength. These results are likely to be informative for weight reduction and manufacturing design of CFRP structural components.
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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