Comparative study of synthetic and natural clay filled PP films under surface discharges
Bibliographic record
Abstract
It is known from literature that addition of small wt% of nanofillers into pure polypropylene matrix improves the electrical characteristics by many folds. This study is intended to compare the effect of natural and synthetic nanocomposites on the PD resistance when introduced in small concentrations in the base PP material. This work investigates the effect of type of nanofiller and its content on the PD resistance of PP films under surface discharges. The sample aging is performed under a voltage that constantly increases with time (Ramp voltage) to minimize the effect of space charge redistribution during the aging process on the sample PD behavior and PD characteristics. Samples with 0, 2, 6 wt% of natural organoclay nanocomposites and 2, 4, 8 wt% of synthetic organo clay nanocomposites are considered for this purpose. These samples are subjected to surface PDs and the degree of surface erosion is quantified by Optical microscope and surface Profilometer.
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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 | 0.000 | 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".