A New Generalized Model for Predicting the Drag Coefficient and the Settling Velocity of Rigid Spheres in Viscoplastic Fluids
Bibliographic record
Abstract
Summary An experimental study was conducted to measure the settling velocity of spherical particles in viscoplastic fluids exhibiting inelastic and elastic behavior. Using a mechanistic model dependent on the balance of the forces acting on the settling particle and detailed statistical analyses of the experimental results, a generalized model for predicting the settling velocity of spherical particles in viscoplastic fluids was developed. A new modified shear Reynolds number (ReT*) was introduced, which physically quantifies the effects of non-Newtonian-fluid rheological properties on the settling velocity. The newly developed CD/Rep correlation and the modified shear Reynolds number were incorporated into the Wilson et al. (2003) model to develop a generalized model that can be used for predicting the particle-settling velocity in all types of viscoplastic fluids.
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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".