Effects of moisture on the dielectric properties of polyoxymethylene POM
Bibliographic record
Abstract
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
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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 | 0.001 |
| 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".