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Record W1663018324 · doi:10.1109/ceidp.1998.733865

Effects of water salinity, electric stress and temperature on the hydrophobicity of polytetrafluoroethylene

2002· article· en· W1663018324 on OpenAlexaff
H.Z. Syed, R. Hackam

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMaterials Science
TopicSurface Modification and Superhydrophobicity
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsPolytetrafluoroethyleneContact angleMaterials scienceDistilled waterComposite materialSurface roughnessMoistureConductivityElectrical resistivity and conductivitySalinitySurface finishHumidityStress (linguistics)Degradation (telecommunications)ChemistryElectrical engineeringChromatography

Abstract

fetched live from OpenAlex

Polytetrafluoroethylene (PTFE) is widely employed in electrical insulation systems, which demands a high stability against degradation due to the effects of salinity and oxidation in the presence of moisture. PTFE can be used at high temperatures up to 250/spl deg/C. In this paper a study on the loss of hydrophobicity of PTFE in the presence of moisture, different sailinities and temperatures is reported. The hydrophobicity is a property of the surface, which gives indication of the degree of resistance to the formation of a continuous film of water. The loss of hydrophobicity is due to the degradation of the material in wet and polluted conditions. PTFE specimens were immersed in saline solutions where the conductivity was varied from 5 /spl mu/S/cm to 100 mS/cm. The temperature of the solutions were 23/spl plusmn/2, 44/spl plusmn/2 and 73/spl plusmn/2/spl deg/C. The loss of hydrophobicity was measured by determining the contact angle of a droplet of distilled water on the PTFE surface. It was observed that the decrease in the contact angle depended on the combined stress of salinity, temperature and duration of immersion. The influence of a radio frequency (RF) discharge and dc stress on the loss of hydrophobicity was studied. The increase in the weight and the change in the surface roughness and their correlation with hydrophobicity of the specimens are also reported.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.012
GPT teacher head0.209
Teacher spread0.197 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations5
Published2002
Admission routes1
Has abstractyes

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