Adhesion dynamics and interfacial behavior at room and high temperatures of ethylene vinyl alcohol/polyethylene-grafted maleic anhydride composite multilayer films obtained by co-extrusion
Bibliographic record
Abstract
This work investigates the adhesion dynamics and interfacial behavior of ethylene vinyl alcohol (EVOH) and a commercial tie layer based on polyethylene-grafted maleic anhydride (PE-g-MA) films, manufactured through a multilayer co-extrusion process. The interfacial morphology is significantly influenced by the co-extrusion parameters and the cooling conditions. Moreover, increasing the co-extrusion temperature leads to an increase in interface thickness and induces greater entanglement, thereby enhancing adhesion. Additionally, water quenching caused the interdiffusion of the adjacent polymers across the interface to freeze and, in turn, resulted in a strong adhesion between EVOH and the tie layer. The corresponding failure mode is predominantly cohesive, particularly at elevated temperatures (60 °C and 80 °C), where we observed a 250 % improvement in the peel strength. Conversely, air cooling (slow) yielded adhesive failures irrespective of the peel test temperature. This study demonstrates the importance of understanding the process and the interfacial behavior that drives the adhesion mechanism between EVOH and PE-g-MA at room and high temperatures.
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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".