MODELING OF THE PRESSURE-DENSITY RELATIONSHIP IN A LARGE CUBIC BALER
Bibliographic record
Abstract
In the course of this study, empirical models were developed for the pressure-density relationship in a large cubic baler for baling alfalfa and barley straw. Least squares regression analysis was employed to develop the empirical model and estimate the model coefficients by minimizing the summation of the squared differences between data resulting from the developed empirical model and the corresponding experimental data for a certain distance from the plunger. The effect of the flake size and load setting on the plunger pressure (pressure exerted on the bale via the plunger) as well as bale density were also determined for bailing alfalfa and barley straw. Results showed that the developed empirical model for either one of alfalfa or barley straw was a combination of a quadratic and an exponential equation which exhibited a good correlation with the experimental data (R 2 of 0.89 for alfalfa and R 2 of 0.94 for barley straw). Results also revealed that load setting significantly affected the plunger pressure and as well the bale density so that plunger pressure and bale density increased with increase in load setting (up to 70% for alfalfa and 100% for barley straw) in both of the forage materials. Flake size (position of the pre-compression sensitivity lever) had also a slight effect on the plunger pressure and on the bale density.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".