Study of the shielding effect of a vertical moving shutter micromachined field mill for measuring dc electric field
Bibliographic record
Abstract
Abstract This paper presents the results of studying the shielding effect of a vertical moving shutter micromachined electric field mill. In this design, a set of interdigital sensing electrodes are located in the same plane as the moving shutter, with the shutter’s vertical motion enabling modulation of the sensed electric field. The effects of various geometrical parameters of the shutter, including the spacing between the fingers and their width, were simulated to study the collected charge as a function of shutter displacement. For the cases with shutter finger spacings 1.5 to 2 times finger-widths, when the shutter lifted up to a height equal to the comb finger-width, the electrode signal dropped by approximately 22–26%. When the shutter lowered for a height equal to finger-width, the charge increased by approximately 24%. To verify the results of the simulations, one shutter design was selected and fabricated. Thermal actuators were employed to move the shutter vertically, in order to study the shutter shielding effect as a function of displacement. The sensor’s mechanical performance test demonstrated 25 μm of displacement when heated to 100 °C. The electric field sensing functionality of the sensor was also tested under an electric field of 9.4 kV m −1 . The vertical motion of the shutter successfully demonstrated its ability to vary the field on the sensing electrodes. An output voltage of 7 ± 0.5 µV was measured per oscillation of the 1.3 × 2 mm shutter for a 25 µm movement. The sensor demonstrated a sensitivity of 0.74 mV kV −1 m −1 .
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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) | 0.001 | 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".