Ethanol Dehydration in a Pressure Swing Adsorption Process Using Canola Meal
Why this work is in the frame
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Bibliographic record
Abstract
Canola meal was used as an adsorbent in a pressure swing adsorption (PSA) process for ethanol dehydration at different temperatures, vapor feed concentrations, and adsorbent particle sizes. Adsorption experiments were performed at breakthrough point and equilibrium. The results demonstrate that canola meal was able to break the ethanol–water azeotropic point 95.6 wt %, selectively adsorb water, and produce over 99 wt % pure ethanol. At elevated temperature and feedwater concentration, water mass transfer rate increased. In addition, the mass transfer rate decreased when the size of the adsorbent particles was increased. The water breakthrough curves were simulated by incorporating the Linear Driving Force model and the mass transfer resistances were evaluated. The internal mass transfer resistance was identified as the mass transfer limit. The water-saturated canola meal was regenerated at temperatures no higher than 110 °C under vacuum and successfully reused.
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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 | 0.001 |
| 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