Numerical simulation of the effects of G-jitters on thermal diffusion process in binary and ternary mixtures
Bibliographic record
Abstract
The effects of different levels of static and oscillatory gravities on the thermal diffusion phenomenon or Soret effect in binary and ternary mixtures were numeerically investigated. A two dimensional square cavity is considered with lateral heating conditions. The Navier-Stokes equations, coupled with energy and mass transfer equations were solved numerically using Finite Element Method. A ternary hydrocarbon mixture consisting of methan - n-butane and dodecane and binary mixture made of water - isopropanol were analyzed to validate the applicability of the numerical method to various mixtures. The concentration, temperature, and fluid flow distributions have been thoroughly analyzed for different gravity levels. The influence of gravity on the thermal diffusion process in a ternary mixture is further discussed. From the results obtained, it can be inferred that the effects of the static gravity on thermal diffusion is very significant and buoyancy convection affects the Soret separation.
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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 | 0.000 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".