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Record W2088680372 · doi:10.1109/tdei.2005.1394029

Effects of moisture on the dielectric properties of polyoxymethylene POM

2005· article· en· W2088680372 on OpenAlexaff
D. A. Wasylyshyn

Bibliographic record

VenueIEEE Transactions on Dielectrics and Electrical Insulation · 2005
Typearticle
Languageen
FieldEngineering
TopicAcoustic Wave Phenomena Research
Canadian institutionsBlackberry (Canada)
Fundersnot available
KeywordsWater contentDielectricMaterials scienceAnalytical Chemistry (journal)PolyoxymethyleneDielectric spectroscopyAbsorption of waterThermogravimetric analysisRelaxation (psychology)MoistureChemistryComposite materialPolymerOrganic chemistryPhysical chemistry

Abstract

fetched live from OpenAlex

The effects of absorbed water on the gamma-relaxation process of polyoxymethylene (POM) were studied using dielectric spectroscopy and thermogravimetric analysis. The spectra were measured isothermally over the frequency range of 10 MHz to 2 GHz, and the water content was varied from dried to 1.65 wt% (saturated). The strength and rate of the gamma-relaxation process increased with increasing water content, contradicting earlier studies that found this process to be relatively insensitive to changes in the molecular environment. Two different formalisms that express the fraction of contributing water dipoles to the measured spectra were compared using the experimental data. The results of the two expressions differed by approximately 20% in their estimation of unbound, participative water and both suggest that the water relaxation process is slowed for the absorbed water in comparison to free, or bulk, water. The shift in the measured spectra for the water/POM system is attributed to the steric hindrances imposed on the water molecules by the hydrogen bonds formed with the polymer molecules. The effects of water sorption by POM were used to derive the associative effects on antenna performance for a hypothetical microstrip antenna comprised of a dielectric layer of POM. It was found that the resonant frequency decreased by 7.5% for a water uptake of 1.65 weight percent

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 categoriesnone
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 score0.246
Threshold uncertainty score0.526

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.013
GPT teacher head0.210
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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations16
Published2005
Admission routes1
Has abstractyes

Explore more

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