Modeling the Drying of Wheat Seeds in a Fluidized Bed Using a Spatially Resolved Model
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Bibliographic record
Abstract
Abstract. A mathematical model for simulating heat and mass transfer during fluidized-bed drying of wheat grains has been developed, combining two transfer steps; a movement of moisture inside the grain and outside the grain. Empirical equations have been used for material properties as well as for transfer processes. The developed model is composed of two models coupled to each other; the distributed parameter model (DPM or Luikov model) and the convective model. The coupled mathematical model was solved numerically by a finite difference method after discretization of equilibrium equations distributed in space. The DPM model made it possible to predict the quantity of water extracted from the grain under the effect of known drying conditions. Results showed that the drying rate of wheat increased when air temperature was increased; and that the rates were higher in the first few minutes of drying, achieving 2.6 × 10 -5 and 1.7 × 10 -5 kg water kg -1 [d.b.]·s -1 for temperatures of 66.7°C and 58.6°C, respectively. A comparison of experimental and predicted results gave good agreement, and the use of the distributed model improved the predictive capabilities of wheat grain drying in fluidized beds. Keywords: Canada Western Red Spring, Distributed parameter model, Fluidized-bed dryer, Mathematical modeling, Wheat seeds.
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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 | 0.001 |
| 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 it