Influence of Operating Conditions and Column Configuration on the Performance of Reactive Distillation Columns with Liquid—Liquid Separators
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract The synthesis of two different esters, ethyl acetate and hexyl acetate, by heterogeneously catalysed reactive distillation has been studied. The investigated column set‐ups were equipped with liquid—liquid separators for the distillate to separate water from the organic components. Experimental and theoretical investigations of operating conditions and different catalytic column internals, as well as different scales were performed. For the modelling and simulation of the reactive distillation columns, the rate‐based approach was applied. The simulation results are in satisfactory agreement with the experimental data. Performed simulation studies demonstrate the influence of both operating conditions and catalytic internals on the overall process performance.
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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