Control of the Subinclusion Microstructure in HDPE/PS/PMMA Ternary Blends
Bibliographic record
Abstract
Various ternary blends of HDPE, PS, and PMMA were prepared in one step using a Brabender mixer. When HDPE is the major component, as in this case, the morphology consists of a HDPE matrix, a PS dispersed phase and PMMA subinclusions within the dispersed PS, as predicted by the spreading coefficients. SEM observation and quantitative characterization were used to show that this complex morphology occurs within the first minutes of mixing and remains stable thereafter. Furthermore, it is shown quantitatively that all the PMMA is present in subinclusion form. It is possible to manipulate the dispersed phase internal structure from small PMMA subinclusions dispersed in a larger PS particle to a PS/PMMA core−shell structure upon decreasing the PS/PMMA composition ratio. Coalescence of composite droplets was also investigated. Upon annealing, these systems clearly experience a dual coalescence process: composite droplet/composite droplet coalescence and coalescence between dispersed subinclusion particles. Although some particle size increase is observed, the main effect of static coalescence is the transition from dispersed subinclusions to a core−shell structure at long times. It is shown that dynamic coalescence is controlled by the thickness of the shell layer. Morphological changes of the composite droplet size were also measured and explained in terms of interfacial tension and viscosity reductions. It is demonstrated that the composite droplet size is controlled by the outer shell thickness.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".