Development of a mechanical model for a micromachined resonant force sensor used in passive microgripping applications
Bibliographic record
Abstract
This paper presents a mechanical model for a polysilicon double-ended tuning fork (DETF) that is implemented as force sensor. This sensor is integrated into a compliant, passive microgripper utilized in a microassembly of 3D MEMS structures. An expression for resonant frequency of DETF is derived. Theoretical model is introduced to analyze the quality factor (Q-factor) of the resonator. The DETF is found to have a maximum Q-factor of 863. In addition, the characteristics of the snap-fit interlocking mechanism are modeled analytically. An optimization scheme is employed to determine the optimal dimensions that provide a maximum reliable amplification factor (A-factor) of the microleverage mechanism. Based on the simulation, the maximum A-factor is 26.12. The model presented here permits a gauge factor (i.e., sensitivity) of 5000 ppm/μN at compressive force of 80μN and A-factor of 25. The superior results obtained support the feasibility of DETF as a resonant force sensor for microgripping 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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".