Modeling Stress Relaxation Behaviour of a Hygrothermally Aged PC/ABS Polymer Blend
Bibliographic record
Abstract
The competing effects of physical aging and moisture absorption on the relaxation behaviour of a polycarbonate/acrylonitrile-butadiene-styrene (PC/ABS) polymer blend have been investigated. Physical aging was simulated by thermal aging the blend at temperatures up to 80 °C which is below the glass transition temperature of ABS, i.e., the lower of the two components. Another set of samples was exposed to six different relative humidity and temperature combinations. Progressively aged samples in dry and hygrothermal aging conditions were then subjected to stress relaxation tests. Momentary master curves were developed by applying time/aging-time and time/moisture superposition principles for dry and hygrothermally aged specimens, respectively. The experimental data were also fitted with the Kohlrausch-Williams-Watts (KWW) model to determine the initial modulus, relaxation time constant and shape parameter. Comparisons of the first two parameters between thermally aged and hygrothermally aged conditions suggest that physical aging processes dominate absorbed moisture effects in terms of influencing viscoleastic behaviour, especially when the aging temperature approaches 80 °C.
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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".