Bibliographic record
Abstract
The aging characteristics of polytetrafluoroethylene (PTFE) are studied. The effects of salinity and temperature on the surface properties of PTFE are reported. To investigate the phenomenon of the loss and recovery of hydrophobicity, the surface of PTFE was subjected to various wetting conditions. The contact angle is a good indication of hydrophobicity and is used to determine the state of the surface of PTFE. It is observed that the hydrophobicity of PTFE decreased with increasing salinity, temperature and the duration of exposure. The surface free energies due to London dispersion (gammaSD) and hydrogen bonding (gammaSH) forces on the surface of PTFE are calculated from the contact angle measurements using both water and its components. A study is performed to measure the coefficient of diffusion of water into PTFE for different salinities and temperatures. The increase in the weight of PTFE with increasing and methyl iodide. A computer program in "C" has been developed to calculate the surface free energy time of immersion is measured. The recovery of hydrophobicity, after aging, up to 5000 h is studied. The average surface roughness and peak surface roughness is also measured during the aging and correlated with the loss of hydrophobicity. The effect of RF discharges on the hydrophobicity is also investigated. The effect of aging on the ac and dc flashover voltage at 10mS/cm saline solution at 0 +/- 1.5, 22 +/- 4, 44 +/- 2, 73 +/- 2° and 99 +/- 2°C shows a decreasing trend with increasing temperature. The decrease in ac and dc flashover voltage is correlated with the loss of hydrophobicity of PTFE and surface roughness. In order to study the changes due to the loss of hydrophobicity on the PTFE surface, a Fourier transform infrared spectroscopy (FTIR) is carried out from which a mechanism responsible for the loss of hydrophobicity is suggested. Source: Masters Abstracts International, Volume: 40-06, page: 1593. Adviser: R. Hackam. Thesis (M.A.Sc.)--University of Windsor (Canada), 2002.
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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) | 0.002 | 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".