Laminar flow of Non‐Newtonian thickened tailings slurry through an open channel
Bibliographic record
Abstract
The flow of non‐Newtonian materials through open channels has been little‐studied compared to research on circular pipes. This paper presents a new Reynolds number to predict the flow of non‐Newtonian thickened mining tailings slurries in open channels. Our aim is to model the frictional forces caused by a material's rheology in the laminar regime. The flow behaviour predictions by this and previous models are discussed and validated against previously published experimental data. It is shown that the newly‐defined Reynolds number achieves an appropriate evaluation of the friction at the boundary and average velocities, when compared with the experimental data for Kaolin and Bentonite suspensions. The new model requires rheometer data to determine the fluid index ( ). It is preferred, as with tube viscometry, to set up a lab‐scale flume from which can be determined graphically or by numerical differentiation. Alternatively the fluid index can be obtained from conventional rotational viscometry results.
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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 | 0.001 | 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".