Design of ultra-thin high frequency trilayer conducting polymer micro-actuators for tactile feedback interfaces
Bibliographic record
Abstract
Fast actuation of conducting polymer trilayers has been achieved by reducing the thickness of the device to as little as 6 μm. Reducing size also reduces force and displacement. Here the tradeoffs between speed of response, force and deformation angle are explored, and related to an example application – a tactile feedback interface that aims to make use of the very high sensitivity of our fingertip skin to vibrations of about 150 Hz. In general, the actuation rate in these devices is limited by the speed of charging, and by inertia. Here we use an established transmission line model to simulate charging speed. By making use of the empirical relationship between strain and charge, and using beam bending theory, the extent of charging enables estimation of the degree of actuator deformation and the forces that can be generated. In seeking to achieve non-resonant actuation at frequencies of 150 Hz or more, while also generating the forces and displacements needed for tactile stimulation, it is found that electronic and ionic conductivities of the conducting polymer electrodes needs to be on the order of 24,000 S/m and 0.04 S/m, respectively. These values along with the required dimensions appear to be feasible.
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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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".