Bending fluidic actuator for smart 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
This paper presents a novel silicone-based, millimeter-scale, bending fluidic actuator (BFA). Its unique parallel micro-channel design enables, for the first time, operation at low working pressure while at the same time having a very limited thickness expansion during pressurization. It also enables the actuator to have the highest ratios of angular displacement over length and torque over volume among previously proposed BFAs. In this work, this parallel micro-channel design is implemented by embedding the BFA with an innovative single winding conduit, which yields a simple, single-component configuration suitable for low-cost production and reliable performance. The BFA design can be easily scaled down to smaller dimensions and can be adapted to applications in restricted space, particularly minimally invasive surgery. In this work, the actuator is manufactured in TC-silicone through poly(methyl methacrylate) molds obtained by using laser cutting technology. Repeated angular displacement measurements on multiple prototypes having different stiffness are carried out. The experimental results are compared with an analytical model, which accurately predicts the performance of the device.
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 | 0.000 | 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