Investigation of a flexible printed circuit board MEMS electrostatic field sensor
Bibliographic record
Abstract
This thesis details a novel variation on a previous MEMS electrostatic field sensor by the application of a new material and fabrication method. Electrostatic field sensors are required that can operate in industrial or outdoor environments where they are subject to damage and contamination. Current MEMS electrostatic field sensors provide a range of benefits, but are extremely delicate. Polymer MEMS are an alternative to conventional silicon micromachined MEMS. The fabrication of a MEMS electrostatic field sensor from a polyimide polymer substrate using a low‐cost commercial flexible printed circuit board (Flex‐PCB) process is explored in this thesis. Also included is the design of a silicon based device which is similar in geometry to the polyimide device. Both the silicon and the polyimide devices are tested to characterize them, and their performances are compared to demonstrate the equivalence and suitability of polymer devices to replace silicon devices. The polyimide sensor achieved a sensitivity of 440 μV/(V/m) and a resolution of 15(V/m)/√Hz, which is similar to the silicon design, as well as to many other published electrostatic field sensors. This performance demonstrates the viability of the polyimide sensor in place of silicon designs. The application of this type of sensor as a non‐contact printed circuit voltage probe is demonstrated, and the influence of surrounding structure on the performance of the sensor in various configurations is examined. Also included is the design of a miniaturized electronic system to record measurements and drive the sensors developed, and some theoretical analysis of the sensor function.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".