Energy absorption capacity of ferroelectrets based on porous polypropylene
Bibliographic record
Abstract
Ferroelectret materials are special group of piezoelectric materials obtained from the cellular structure of nonpolar polymers. They are under investigation for a variety of applications such as actuators, vibration control, speakers, microphones, sensors, as well as healthcare monitoring systems. In this work, the effect of morphological and mechanical properties of ferroelectret films on their capacitance and stored energy capacity was studied. Different eye‐like cellular structure of porous polypropylene films with different cell aspect ratio (AR) and mechanical properties were used. The optimized sample was obtained with AR = 6.6 using nitrogen (N 2 ) as the ionizing gas to give a quasi‐static piezoelectric coefficient ( d 33 ) of about 800 pC/N, an electrode charge density of about 2.10 mC/m 2 , a maximum capacitance of about 465 pF, as well as a maximum stored energy capacity of about 1,824 pJ. It was observed that replacing air with N 2 as the ionizing gas led to an increase in charge/voltage output. Moreover, by replacing air with N 2 as the ionizing gas, the capacitance and stored energy of the samples were improved by about 20% and 80%, respectively. Hence, it can be concluded that the capacitance was mostly related to the cellular morphology of the samples while the stored energy was also function of the ionizing gas used. POLYM. ENG. SCI., 58:300–309, 2018. © 2017 Society of Plastics Engineers
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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".