Development of a Computational Framework to Model the Scale‐up of High‐Solid‐Content Polymer Latex Reactors
Bibliographic record
Abstract
Abstract A computational framework, consisting of a laminar computational fluid dynamics (CFD) simulation model coupled to a multizonal population balance, is developed to assist in the scale‐up of high‐solid‐content (HSC) latex production and processing. Poly3D CFD software is used to generate flow fields inside a series of reactors; this information is then sent to the process model to assess the impact of nonhomogeneous mixing on the evolution of the latex particle size distribution (PSD) when concentrated latex suspension is altered via the addition of a coagulant. As the general shape of the PSD evolves, the model monitors changes in the rheological parameters in each zone of the reactor; the flow field is recomputed if a significant change in any of the properties is detected. The details of the framework are presented and its utility is demonstrated. Preliminary results indicate that nonhomogeneity inside the reactor will have an effect on the final latex PSD obtained.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".