Comparison of mixing performance between stationary-baffle and moving-baffle batch oscillatory baffled columns via numerical modeling
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Bibliographic record
Abstract
This paper presents a numerical comparison of the mixing performance between two configurations of batch oscillatory baffled column: the stationary-baffle column and the moving-baffle column. Computational fluid dynamic (CFD) software was used to investigate the effect of various oscillation conditions on fluid flow and mixing for both configurations. Population balance modeling was used to validate each column using droplet size distribution data for multiphase flow simulations. Column performance was evaluated in terms of power requirement, axial and radial flow dominance, and mixing time. The results suggest that better convective mixing occurs in stationary-baffle columns due to the increased axial velocity magnitudes produced for this configuration of column with respect to moving-baffle columns operating at the same oscillation frequency and amplitude.
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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 | 0.000 |
| 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 it