Design, manufacturing, and testing of an adaptive composite panel with embedded shape memory alloy actuators
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 article presents a novel design procedure leading to fabrication of a composite adaptive panel prototype with an embedded array of linear shape memory alloy actuators. This procedure allows determination of the panel’s radius of curvature as a function of the shape memory alloy actuators’ actuation temperature and panel configuration (number and orientation of plies, number and location of actuators, the materials’ properties, and the geometric arrangement). This design procedure integrates properties of the host structure (composite laminate) and of the actuators (shape memory alloy wires) in the framework of a unique design diagram. The performances of shape memory alloy actuators are obtained by experimental manipulations, whereas the rigidity of the host structure is calculated using the finite element numerical modeling approach. To validate the developed design procedure, a [90/90/90/wire/90] 425 × 425 × 5-mm adaptive panel prototype is fabricated using the vacuum-assisted resin transfer molding method. The results obtained from experimental tests are used to monitor the global performance of the adaptive panel and to validate the developed design procedure.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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