Air viscous damping effects in vibrating microbeams
Bibliographic record
Abstract
In this paper, the effect of air viscous damping in the out-of-plane motion of vibrating microbeams is modeled analytically and compared with experimental results. This analysis results in a closed-form expression that can be used to accurately predict the dynamic response of microbeams used in MEMS devices such as vibration and pressure sensors, microswitches, and micromechanical resonators. First, the squeeze-film damping for a solid and straight vibrating cantilever beam, caused by the force in the narrow gap, is analyzed using the well-known Reynolds' equation under the conditions of small amplitude oscillations in an incompressible isothermal squeeze-film. The expression is then modified to include the effects of the initial curled-shape of the microbeams due to fabrication and inherent film stress gradients. Next, the airflow damping, caused by the air surrounding the cantilever beam, is determined by solving the modified form of the Navier-Stokes equation using the bead model, which is based on the oscillation of a string of spheres (beads). The closed-form solution is compared against experimental data gathered during the dynamic characterization of micro cantilever beams with different widths and air gaps. By comparing the measured results to those generated by analytical models, we demonstrate that the damping coefficient match to within 10%.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".