SEPARATION OF METHANOL AND ISOPENTANE BY PERVAPORATION AND TAME PRODUCTION APPLICATION
Why this work is in the frame
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Bibliographic record
Abstract
Separation of methanol (MeOH) and isopentane (iC5) is a problematic process in the production of tertiary-amyle methyl ether (TAME). The removal of methanol from the product stream and its subsequent recycling to the reactor requires breakage of its azeotrope with iC5. While the conventional separation processes are costly and cumbersome, pervaporation offers a simple and inexpensive alternative to traditional techniques. In the present study, pervaporation was used to examine the performance of two commercial rubbery membranes as well as Nafion-170 to separate methanol and isopentane. The results indicate that all three membranes were highly selective and permeable toward methanol. Both the selectivity and permeability were strongly feed-composition dependent. Selectivity decreased and permeability increased as methanol concentration in the feed increased. With few exceptions, methanol was collected at 95% to 99.8% purity from the permeate side at a wide range of feed compositions varying from 1% to 25% methanol. Average selectivities of 170 to 370, and fluxes up to 2.93 kg/m2·h were observed. We also found that preconditioning of the membranes enhances their performances.
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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 | 0.001 |
| 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