Analysis on the energy harvesting cycle of dielectric elastomer generators for performance improvement
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Bibliographic record
Abstract
With attractive features like high energy density and flexibility, dielectric elastomer generators (DEGs) have been designed to harvest mechanical energy from diverse sources. However, their energy harvesting performance could be limited by the material viscoelasticity and various failure modes. Adopting the finite-deformation viscoelasticity model, this work presents a theoretical framework for analyzing the performance of a DEG with a triangular harvesting scheme. Simulation results reveal that choosing an appropriate in-plane stretch ratio for the onset of the discharging process can raise the harvested energy of DEGs. It is also found that the energy conversion efficiency of a DEG can be markedly improved by avoiding loss-of-tension of elastomer during the operation of energy harvesting.
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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 | 0.001 |
| 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 it