Assessment Of Turbulent Mixing In A Static Mixer Using Mean Age
Why this work is in the frame
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Bibliographic record
Abstract
Static mixers are in-line motionless devices that are placed into a pipe to promote the blending of miscible fluids or dispersion of immiscible liquids. New designs of static mixers are continuously proposed to meet certain requirements of the final product. Instead of manufacturing numerous prototypes of inserts and conducting costly experiments to assess spatial and temporal mixing, it is suggested to use computational fluid dynamics (CFD) to visualize and quantify the efficiency of mixing in new insert designs. In this study, the mixing assessment of the Kenics mixer with six Kenics elements was performed by evaluating the mean age distribution for a range of Reynolds numbers between 1 and 12 000 covering laminar, and turbulent flow regimes. A single Kenics element can be described as a twisted ribbon like structure which can be fitted at the center of the pipe to act as an obstruction. The Kenics elements with clockwise and counterclockwise twist can be placed alternatively to form a Kenics mixer.
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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 | 0.001 |
| 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 it