Ultratough Co-Continuous PLA/PA11 by Interfacially Percolated Poly(ether-<i>b</i>-amide)
Bibliographic record
Abstract
It will be shown that when polyether- b -amide (PEBA) is added to a PLA/PA11 blend, it tends toward the interface and results in a significant increase in the impact strength when all three phases are fully percolated. The addition of the elastomeric PEBA phase to the binary PLA/PA11 blend replaces a rigid PLA/PA11 interface with a much more deformable one. The further addition of PEO to PLA results in an ultratough material with an impact strength of ∼750 J/m, which is approximately 40 times greater than the original co-continuous PLA/PA11 blend. The tensile toughness and notched Izod impact strength are significantly influenced by the critical co-continuous composition region of the PLA/PA11 binary system and a minimum concentration to form a fully percolated PEBA layer at the co-continuous PLA/PA11 interface. The added PEO is also found to enhance the interfacial interactions and the chain mobility of PLA. The combined effects of co-continuity, strong interfacial interactions, a deformable interface, and sufficient PLA chain mobility are all essential to achieving ultratough behavior in PLA/PA11. Examination of the fracture surface of the ultratough material after impact indicates significant voiding. It is suggested that the stress-field overlap within the deformable PEBA phase in conjunction with suitable interfacial adhesion changes the failure mode from crazing to shear yielding. These results establish a strategy for the toughening of multiphase polymer blends, especially in the vicinity of the co-continuous region.
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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".