Optopiezothermoelastic actions and micro-control sensitivity analysis of cylindrical opto-mechanical shell actuators
Bibliographic record
Abstract
Opto-mechanical actuators controlled by high-energy lights represent a new class of non-contact precision actuators based on the photodeformation process. The photodeformation process involves two fundamental opto-piezo(electric)thermoelastic coupling phenomena: 1) the photovoltaic effect and 2) the converse piezoelectric effect. Irradiating high-energy lights, such as lasers or ultraviolet lights, on a certain class of photostrictive materials can trigger the photodeformation and, consequently the induced photodeformation can be used for non-contact precision actuation and control. In the process of photodeformation, the temperature induced pyro-electric effect and the thermal strain effect also affect the overall response. This paper is to evaluate the micro-actuation sensitivity and spatial effectiveness of distributed opto-mechanical shell actuators. Mathematical modeling of a circular cylinder laminated with a segmented opto-mechanical actuator patch is presented first, followed by analytical solution procedures. Various design parameters and micro-control actions, e.g., membrane control, bending control, actuator location, actuator length/size, are evaluated and their modal control sensitivities are reported. Time histories of free and controlled responses are demonstrated.
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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 | 0.001 |
| 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) | 0.001 | 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".