Electro thermal analysis of rotary type micro thermal actuator
Bibliographic record
Abstract
In micro domain, thermal actuators are favored because it provides higher force and deflection than others. This paper presents a new type of micro thermal actuator that provides rotary motion of the circular disc shaped cold arm, which can be used in various optical applications, such as, switching, attenuation, diffraction, etc. The device has been fabricated in MUMPS technology. In this new design, the hot arms are arranged with the cold disc in such a way that thermal expansion of the hot arms due to Joule heating, will make the cold disc to rotate and the rotation is unidirectional on loading. The dominant heat transfer modes in the operating temperature zone are through the anchor and the air between the structure and the substrate because of the very low gap provided by MUMPS. A mathematical model was used for predicting steady state temperature profile along the actuator length and rotational behavior of the cold disc under different applied voltages. A 3-D coupled field finite element analysis (FEM) for the device is also presented. A FEM analysis was done by defining an air volume around the structure and substrate below the structure. Results obtained from the mathematical model, was compared with that of the finite element analysis. The presented results confirm the applicability of this novel rotary type thermal actuator for many optical MEMS applications.
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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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".