Novel Structural Design of a Piezo Transducer for Roadway Power Harvesting Applications
Bibliographic record
Abstract
The roadway power harvesting project was started to design and produce a working prototype of a piezoelectric based power harvester for applications in vehicle power harvesting.The system is composed of a rubber speed bump with arrays of piezoelectric transducers.The transducers are connected to power harvesting circuitry which can capture and store energy generated by the transducers and deliver it at a specic voltage to an arbitrary load application.This thesis focuses on the hardware aspect of the project, more specically the design and fabrication and experimental validation of a novel piezoelectric transducer that incorporates both radial slits with circumferential preloading of each transducer in order to improve power generation from each transducer.The designs undergo nite element analysis for appropriate parameter determination and prototypes are tested to conrm the nite element analysis conclusions.Finally the fully constructed system is tested both on a hydraulic loading machine and with a road vehicle and determined to have a 113 % improvement in peak voltage generation over a conventional cymbal transducer design with similar parameters.To Amy.Somewhere, something incredible is waiting to be known.
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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 | 0.001 |
| 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".