A magnet-induced buckled-beam piezoelectric generator for wideband vibration-based energy harvesting
Bibliographic record
Abstract
This article presents a magnet-induced buckled-beam piezoelectric generator developed for broadband vibration-based energy harvesting at low frequencies (<60 Hz) and small excitations (<0.5 g). The harvester is made of a clamped–clamped piezoelectric beam, with one end movable and subjected to a magnet-induced compressive force. Due to the magnetic force, the beam becomes buckled and bistable. The harvester works as a double-well potential oscillator under excitations, where large-amplitude inter-well oscillation is produced to enhance the energy harvesting functionality. Numerical simulations show that the proposed harvester exhibits strong nonlinearities under harmonic excitations, including snap-through motions, large-amplitude voltage outputs, and broad frequency bandwidth. A prototype harvester is fabricated and experimentally investigated to confirm the findings from numerical simulations. It is observed that for a small base excitation of 0.35 g, the harvester can produce a broad frequency bandwidth of 25.0 Hz (24.0–49.0 Hz) to constantly trigger inter-well snap-through motions and to maintain a peak-to-peak voltage of >10 V over a 1.3 MΩ load resistor. For a relatively larger base excitation of 0.5 g, such a frequency bandwidth can be further widened to 29.5 Hz.
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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 | 0.000 | 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".