Numerical Simulations of MEMS Comb-Drive Using Coupled Mechanical and Electrostatic Analyses
Bibliographic record
Abstract
Coupled domain mechanical and electrostatic analysis of MEMS Comb-Drive has been carried out in this study. Numerical simulations are performed using Finite Element Method for Mechanical Analysis and Boundary Element Method for Electrostatic Analysis. Various design parameters of a Comb-Drive like finger overlap, folded flexure spring length and applied voltage were considered and their effect on performance variables like capacitance, natural frequency and displacement of comb were studied using numerical simulations. Simulations were performed using a standard Comb-Drive with 30 movable fingers in the comb and folded flexure spring length varying from 200 μm to 350 μm. The results showed that the capacitance of the Comb-Drive increases with increasing finger-overlap whereas the finger-overlap increases by increasing driving voltage. A relationship between Comb-Drive displacement and the natural frequency of the structure with folded flexure spring length is also comprehensively covered in this study.
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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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".