Vapour‐liquid equilibrium and distillation scheme for the hydrochloric acid‐ethanol‐water ternary mixture
Bibliographic record
Abstract
Abstract This work reports the Vapour‐Liquid Equilibrium (VLE) data, at 78 kPa, for a HCl‐ethanol‐water ternary mixture at low HCl content (x ≤ 0.137, which corresponds to HCl usual commercial form). The data were adjusted using the electrolyte‐NRTL activity model. The obtained predictions presented an absolute average deviation of 0.853 %. Next, this model was used to construct the residue curve map of the HCl‐ethanol‐water mixture. The analysis of its topology provided a fundamental understanding of the ternary mixture behaviour upon distillation process. Four different separation regions were identified. Finally, based on the residue curve map, a distillation column was designed to accomplish three design constraints: HCl‐water commercial product composition, maximum ethanol recovery for recycle, and minimum energetic duty in the reboiler.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".