Effect of revolute joint mechanism on the performance of cantilever piezoelectric energy harvester
Bibliographic record
Abstract
Abstract In this paper, we present a novel method to improve the electric performance of cantilever piezoelectric energy harvesters (PEHs), i.e. by embedding the revolute joint mechanism. The harvester is usually fastened onto a host structure via one edge of the substrate. The embedment substitutes part of the edge, forming a discontinuous boundary condition. The joint mechanism greatly reduces the stiffness and damping factor of the harvester and thus increases the resonant intensity. This leads to larger deformation of the piezoelectric component and higher voltage output. We investigated mainly four cases in terms of the length of the joint by modeling for numerical solutions, and by fabricating prototypes for experimental validation. Both numerical and experimental results of the hinged cases, which agree with each other quite well, indicate that the output voltage of the PEH is up to 2.94 times as high as that of the counterpart case (full clamped or non-hinged). Furthermore, the output power is escalated by more than 670%. With no additional mass or volume added into the structure, the power density is improved by the same magnitude. In terms of applications, the hinged harvester displays much better charging performance with a higher charging rate and saturation voltage. This study can be of great significance to evidently boost the electric yields of cantilever PEHs.
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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 | 0.000 | 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".