Effect of liquid‐phase properties on separation efficiency in a randomly packed distillation column
Bibliographic record
Abstract
The effects of the liquid properties on packing efficiency were investigated experimentally. Tests were performed in a column packed with ceramic Intalox® saddles, 7 mm in diameter. The distillation column was operated under total reflux and at atmospheric pressure (94 kPa). Surface tension positive (methanol/water, n‐heptane/toluene), surface tension negative (benzene/n‐heptane), and surface tension neutral (methanol/isopropanol and cyclohexane/n‐heptane) systems were selected to examine the wide range liquid property effects on the height of equivalent to a theoretical tray (HETP). The surface tension gradient was found to be the dominant factor affecting HETP in surface tension positive systems, but had no effect for the surface tension negative system. For the surface tension neutral system, it was found that the liquid diffusivities and viscosities had the greatest effect on HETP. The measured HETP data was also compared with tray results obtained from literature, to determine if packing and tray efficiencies are affected in a similar manner by the liquid properties. It was concluded that the surface tension gradient, liquid diffusivities, and viscosity have similar effects on the efficiency of packed and tray columns.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".