Research and Application of PVDF Piezoelectric Film Accelerometer
Bibliographic record
Abstract
PVDF piezoelectric film accelerometers can detect vibration signals due to their sensitive piezoelectric material components. Addressing the issues of low sensitivity and narrow frequency range in existing vibration monitoring sensors for turning processes, this paper proposes a PVDF piezoelectric film accelerometer based on a vertical compression structure. First, the mechanical model of the sensor under working conditions is established, analyzing the structural and material performance parameters related to its natural frequency and sensitivity. An ANSYS finite element model is built, and modal and harmonic response analyses of the model are performed. Simulation results show that the designed sensor's operating frequency and sensitivity can meet the requirements for vibration testing in turning. Calibration experiments on the sensor demonstrate that its natural frequency is 8900 Hz, its operating frequency range is 0.5-2900 Hz, and its charge sensitivity is 25.284 pC/(m·s⁻²). The sensor features a wide frequency range and high sensitivity, enabling its use for detecting vibration signals in turning experiments.
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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 | 0.001 | 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".