Viscosity models for concentrated suspensions of solid core‐porous shell particles
Bibliographic record
Abstract
New models are developed for the low‐shear viscosity of concentrated suspensions of solid core‐porous shell particles taking into consideration the effects of the thickness and permeability of shell surrounding the solid core of the core‐shell particles. The relative viscosity of suspension depends on factors such as relative thickness of the porous shell, size of the composite (solid core‐porous shell) particles, permeability of the shell, and volume fraction of the core particles. For given relative thickness of porous layer and size of the composite particles, the relative viscosity of suspension decreases substantially with the increase in the permeability of the porous layer at a fixed volume fraction of core particles. Upon shrinking of the solid core, the relative viscosity of suspension exhibits a large increase provided that the size of the composite particles, the permeability of the porous shell, and the volume fraction of core particles are all kept constant. The proposed models are evaluated using data available on low‐shear viscosity of concentrated suspensions of three different types of particles: porous particles, solid core–hairy shell particles, and hard spheres.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 teacher head, 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".