Design and Fabrication of MEMS-based Tire Pressure Sensor
Bibliographic record
Abstract
Extended Abstract In recent years, emerging Micro-Electro-Mechanical Systems (MEMS) technology and micromachining techniques have been a popular approach to the miniaturization of sensors. More importantly, the functionality and reliability of these micro-sensors has been increased considerably by integrating them with mature logic IC technology or other sensors. To effectively gauge the tire pressure, it is essential to gather data of real-time tire pressure in vehicle tires. Previous studies have reported on the use of MEMS sensors for monitoring pressure parameters [1-2]. The current study developed a fabrication process utilizing Pt-piezoresistor-based pressure sensors for the identification of tire pressure. To form the tire pressure sensor, four piezoresistors were manufactured on a membrane structure released after a back-etching process. Finally, the electrical signals produced by pressure changes were amplified and converted into voltage signals using a Wheatstone bridge and an amplifier circuit (AD620) connected between the MEMS-based tire pressure sensors and an LED display. The piezoresistors (width: 50μm) used in the pressure sensor were deposited over silicon nitride membranes of the same dimensions (4,000 μm × 4,000 μm), which were released by a back-etching process to form a membrane under the piezoresistorss. This was sealed with a back plate to obtain a vacuum cavity to house the pressure sensor. Pressure measurements were carried out using an air compressor to vary the air pressure within the tire. A reference pressure meter (PG-100, Nidec Copal Electronics Corp., Japan) was used to measure the actual pressure value to calibrate the response of the sensor. The characteristics of the tire pressure sensor were investigated as the pressure was varied between 0 and 50 psi. The measurement of pressure was carried out in a chamber connected to a tire and an air compressor to vary the pressure in the tire and the chamber. The experimental results indicated that the resistance of the pressure sensor increased linearly as the chamber pressure increased (R = 0.978). The relationship between signal response and tire pressure illustrated in the study is given by:
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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) | 0.001 | 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 | 0.001 |
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".