Bibliographic record
Abstract
The volume-and-time averaged model for mono-disperse suspension flow developed by Liu [1] has been applied to simulate the flow behaviors of concentrated suspensions through circular/rectangular conduits, and it has further extended to bi-disperse suspensions. The suspensions in this study are composed of non-colloidal, rigid, mono-/bi-sized, spherical particles and viscous Newtonian fluids, and undergo pressure-driven flow. For the mono-disperse system, the model is successful in simulating the velocity and concentration profiles of fully developed suspension flow through circular tubes and rectangular channels. For the bidisperse system, the velocity profiles of suspensions and the concentration profiles of two species of particles for fully developed flow through rectangular channels are obtained. To our knowledge this paper provides the first approach to simulate the pressure-driven flow of a bi-disperse system. All the simulated profiles of this study agree well with the literature data, and no adjustable parameter was used in the simulations.
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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".