Design of Piezoelectric Energy Harvester Generating Power over a Range of Excitation Frequencies Using
Bibliographic record
Abstract
Today, there is a real desire to develop the piezoelectric power harvester to enhance the performance of Wi-Fi sensors and low-power devices to use them in heavy weather for longer times. In this study, the harvester model built from piezoelectric bimorphs called; “Piezo Bending Actuators 427.0085.11Z” from Johnson Matthey, N42 magnets, and some electrical parts such as; accelerometer, shaker, HP 54601B oscilloscope used in the experimental setup. The results show, that the system frequency has an inverse relationship with a gap between magnets, where the frequency increases 100% as the distance decreases from 4.6mm to 0.7 mm. In addition, the amplitude of increases by 104% as the gap decreases from 4.6mm to 0.7 mm. Also, the production power and amplitude have an inverse relation with the magnet distance. Keywords: power harvester, magnetic gap, tuned magnetic force, piezoelectric, resonances.
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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 | 0.001 | 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".