Improving the consistency of environmental stress cracking resistance testing for polyethylenes
Bibliographic record
Abstract
Abstract This paper explores a novel modification to the Bell Test (ASTM‐D1693) for minimizing its variability in failure time by the introduction of heat notching. The new notching technique for assessing environmental stress cracking resistance was evaluated with four different grades of polyethylene and compared to results using the ASTM standard for notching. Differences in both the failure time and the associated variability were witnessed with this technique, evaluated at various annealing conditions between the cold crystallization temperature and crystal melting temperature of a polyethylene. Best results were found using the midpoint temperature between these two conditions for the heated blade. Localized elastic moduli for the notched samples were obtained by force mapping via atomic force microscopy, showing decreased crystallinity content at the point of concentrated stress was favored for more consistent failure times. The work highlights the critical nature of local phase morphology at the notch in the assessment of environmental stress cracking resistance.
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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 | 0.001 | 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 | 0.001 | 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) | 0.000 | 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".