Rheo‐optical study of nonlinear effects in an immiscible Newtonian polymer blend under large amplitude oscillatory shear flow
Bibliographic record
Abstract
Abstract The morphology evolution of polydimethylsiloxane (PDMS) drops embedded in polyisobutylene (PIB) matrix blend was investigated under large amplitude oscillatory shear flow (LAOS) using rheo‐optical techniques. The oscillatory shear experiments were carried out at various frequencies and deformation amplitudes up to 800%. The drop deformation was assessed by optical microscopy, small angle light scattering (SALS), and linear‐dichroism. It was observed that when the flow is reversed, the drop returns back to its equilibrium spherical shape and then it deforms again symmetrically in the other direction, with exactly the same angle θ. However, when the deformation amplitude increases, various unusual behaviors have been observed and upon reversal of the flow in the opposite direction during oscillations, the drop does not reach the spherical equilibrium shape anymore at the flow reversal point but it rather adopts an ellipsoidal shape as was predicted by Yu et al. model. 3 Such a behavior was assessed by both optical microscopy observations and by optical techniques. When the deformation was further increased, the drops undergo break‐up process and the break‐up point was assessed by optical techniques. © 2009 Wiley Periodicals, Inc. J Polym Sci Part B: Polym Phys 47: 1467–1480, 2009
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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) | 0.000 | 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 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".