Estudio de los fenómenos de transporte termo-hidrodinámicos de no equilibrio en mezclas líquidas
Bibliographic record
Abstract
In this doctoral thesis, an experimental study on the transport properties on liquid mixtures has been conducted. The molecular di usion coe cient, thermodi usion coe cient and Soret coe cient of several mixtures have been analyzed. The molecular di usion coe cient has been measured by the sliding symmetric tubes technique, while the thermodi usion coe cient has been determined using the thermogravitational technique. The Soret coe cient, on the other hand, has been calculated using the data obtained with these two experimental techniques.\n\t\t\t\t Di erent types of mixtures have been analyzed using these techniques. On the one hand, several binary mixtures, specifically mixtures of hydrocarbons, aqueous mixtures and polymer mixtures, have been studied. In the group of hydrocarbon mixtures, the thermodi usion, molecular di usion and Soret coefficients at 25 ºC of three equimolar and equimass normal alkane series have been determined (49 binary mixtures). The analysis of the obtained data has been used to develop three correlations for the prediction of the transport properties of the binary mixtures composed by these components. The first of these expressions, is a quantitative correlation which is used for the determination of the thermodi usion coe cient in normal alkane binary mixtures at any concentration. The second quantitative correlation developed, does the same thing but with the molecular di usion coe cient, using the data of the molecular mass di erence of the components and the dynamic viscosity of the mixture. The experimental data obtained for the Soret coefficient has been used to develop another quantitative correlation for the determination of this coefficient.\n\t\t\t\t In the case of aqueous mixtures, measurements of the transport properties in water-isopropanol mixture in the whole range of concentration at 25 ºC have been carried out. The experimental analysis of this mixture has also been done by other laboratories (Service de Chimie physique E.P. and Microgravity Resesarch Center, both from university of Brussels, and Department of Physics from university of Bayreuth), both in ground and microgravity conditions. The results obtained in this international collaboration work, can be considered as a consistent reference data for the mixtures which present a sign change in the Soret coe cient over their concentration range.\n\t\t\t\t For polymer mixtures, a combination of the sliding symmetric tubes and the gravimetric techniques has been used to study the water-polyacrylamide\n\t\t\t\t binary system in collaboration with FAST laboratory of Pierre et Marie Curie university. The analysis carried out using these two techniques has allowed the determination of the molecular di usion coe cient of the mixture throughout the concentration range of the three regimes that can be found in this mixture: concentrated, diluted and semi-diluted.\n\t\t\t\t Additionally, measurements of the thermodi usion coe cient in ternary hydrocarbon mixtures have been done. Two of these mixtures tetrahydronaphthalene-isobutylbenzene-ndodecane and toluene-nhexane-ndodecane) at several concentrations and 25 ºC have been analyzed. The data measured has been used to analyze and check the reliability degree of a correlation developed in a previous work. This correlation is able to predict the thermodiffusion coe cient in ternary mixtures using the data of their corresponding binary mixtures.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".