Density and Viscosity of CO<sub>2</sub> + Ethanol Binary Systems Measured by a Capillary Viscometer from 308.15 to 338.15 K and 15 to 45 MPa
Bibliographic record
Abstract
Density and viscosity of CO2 + ethanol binary systems were measured by a high-pressure capillary viscometer at different ethanol mole fractions of 0, 0.067, 0.135, 0.203, 0.271, and 1 with temperature from 308.15 to 338.15 K and pressure from 15 to 45 MPa. The density and viscosity of the unitary and binary systems decrease when temperature increases and are found to increase with increasing pressure. Meanwhile, increasing ethanol mole fraction will increase the viscosity but make density reach to the maximum point. Based on these experimental data, volumes of mixing and viscosity deviation were calculated, which all showed negative values. Besides, the absolute value of deviation increases with increasing temperature or ethanol concentration but shows a negative relationship with pressure. Further, the perturbed-chain statistical associating fluid theory equation of state was introduced to investigate the correlation between densities in different systems by adjusting the binary interaction parameter (kij). The viscosities of pure CO2, pure ethanol, and binary mixtures were correlated by Heidaryan function, Baylaucq function, and Song mixing rule, respectively. All these models show very good agreement with the experimental data obtained in this work.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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".