Drying characteristics of forage sorghum stalks
Why this work is in the frame
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Bibliographic record
Abstract
Forage sorghum has been identified as a potential source of biomass for heating by direct combustion. An important aspect of the production system is crop drying prior to storage or processing, such as pelletizing. In order to properly evaluate the effects of maceration or other similar treatments on the field drying of sorghum, a baseline of the drying characteristics of sorghum needs to be established. This was accomplished by drying samples of sorghum stalks in an Armfield UOP8 laboratory-scale tray dryer at an air temperature of 50°C and air velocity of 0.5 m/s. Stalks were cut into either 200 mm or 50 mm lengths. For some of the 200 mm lengths, the ends were sealed in paraffin wax to duplicate infinite cylinders so that the drying characteristics of the waxy skin could be determined separately from the cut ends. The data was fit to several standard exponential type models, including a two-term Newton model, and a separation of variables model based on Fick’s law. The length of the stalk and the sealing of the ends significantly affected the drying rate. Statistical indicators demonstrated that standard exponential models adequately capture the drying curves and are on par with the separation of variables model. The two-term Newton model and the separation of variables model provided a distinction between the axial and radial moisture migration. Using the separation of variables model, the effective diffusivity of sorghum stalks was determined to be 4.17 x 10-8 and 8.81 x 10-6 m2/hr in the radial and axial directions, respectively.
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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 | 0.000 |
| 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 it