Decoupling of reactions in reactive polymer blending for nanoscale morphology control
Bibliographic record
Abstract
Abstract In this study, a dynamic vulcanized alloy of brominated poly(isobutylene‐co‐p‐methylstyrene) (BIMSM) and polyamide (PA) has been investigated. An interfacial reaction between BIMSM and PA and a crosslinking reaction between BIMSM molecules is carried out simultaneously during melt blending. To form a vulcanized, nanoscale elastomer dispersion, the timing of these reactions is key and the interfacial reaction should be well advanced before the vulcanization reaction initiates. At a blending temperature of 205 °C, independent of the processing conditions, it is found that the interfacial reaction dominates the phase morphology development. Increasing the melt processing temperature, however, begins to favor the vulcanization reaction over the interfacial reaction. In nonplasticized blends, it is found that increasing the temperature above 235 °C increases the speed of the vulcanization reaction to a level that it dominates the phase morphology development. As a result, the phase size increases by 2.5‐fold because the system is vulcanized before the interfacial modification step is complete. Adding plasticizer to the PA matrix increases the overall phase size, but shows a similar behavior with increase in temperature from 205 to 255 °C. The critical temperature where the vulcanization reaction starts dominating phase morphology in the plasticized systems is at 225 °C. Once the processing temperature is above the critical temperature, it is found that the mixing sequence can be used to time and decouple the reactions. The work demonstrates that a close control over the temperature and processing conditions can be used to decouple the interfacial and vulcanization reactions resulting in vulcanized, nanoscale dispersions for the BIMSM and PA system. © 2012 Wiley Periodicals, Inc. J Polym Sci Part B: Polym Phys, 2012
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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 | 0.001 |
| 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".