Large Eddy Simulation of Drying of a Potato Slice in Turbulent Flow
Bibliographic record
Abstract
In this paper, the drying of the potato parallelepiped slice by a turbulent air stream is analysed in a conjugate model with the Large Eddy Simulation (LES) technique.The heat and mass transport equations are solved inside of the potato and continuity, movement, energy and species transport equations are solved to the external flow.Transport equations are discretized in the space and time using the McCormack scheme and a refined mesh at boundary of solid is utilized.The diffusion coefficient is calculated through Arrhenius equation for potato and the numerical model is developed in a Fortran code.Two cases are analysed: air stream at 333K and air stream at 353 K. Numerical simulations agree with the behaviour of the flow around immersed body and diffusion mechanism inside of food match with Chandramohan results.Predictions show the diffusion coefficient inside of potato slice is strongly related to the air temperature.The moisture loss in the potato slice is better in a semi-elliptic temperature distribution because changes of temperature imply variations in density of moisture, where mass transfer is promoted.
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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 | 0.000 |
| 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 | 0.001 | 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".